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https://api.github.com/repos/huggingface/datasets/issues/7040 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7040/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7040/comments | https://api.github.com/repos/huggingface/datasets/issues/7040/events | https://github.com/huggingface/datasets/issues/7040 | 2402918335 | I_kwDODunzps6POZ-_ | 7040 | load `streaming=True` dataset with downloaded cache | {'login': 'wanghaoyucn', 'id': 39429965, 'node_id': 'MDQ6VXNlcjM5NDI5OTY1', 'avatar_url': 'https://avatars.githubusercontent.com/u/39429965?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/wanghaoyucn', 'html_url': 'https://github.com/wanghaoyucn', 'followers_url': 'https://api.github.com/users/wanghaoyucn/followers', 'following_url': 'https://api.github.com/users/wanghaoyucn/following{/other_user}', 'gists_url': 'https://api.github.com/users/wanghaoyucn/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/wanghaoyucn/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/wanghaoyucn/subscriptions', 'organizations_url': 'https://api.github.com/users/wanghaoyucn/orgs', 'repos_url': 'https://api.github.com/users/wanghaoyucn/repos', 'events_url': 'https://api.github.com/users/wanghaoyucn/events{/privacy}', 'received_events_url': 'https://api.github.com/users/wanghaoyucn/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"When you pass `streaming=True`, the cache is ignored. The remote data URL is used instead and the data is streamed from the remote server."
] | 2024-07-11T11:14:13 | 2024-07-11T11:54:18 | NaT | NONE | nan | ### Describe the bug
We build a dataset which contains several hdf5 files and write a script using `h5py` to generate the dataset. The hdf5 files are large and the processed dataset cache takes more disk space. So we hope to try streaming iterable dataset. Unfortunately, `h5py` can't convert a remote URL into a hdf5 file descriptor. So we use `fsspec` as an interface like below:
```python
def _generate_examples(self, filepath, split):
for file in filepath:
with fsspec.open(file, "rb") as fs:
with h5py.File(fs, "r") as fp:
# for event_id in sorted(list(fp.keys())):
event_ids = list(fp.keys())
......
```
### Steps to reproduce the bug
The `fsspec` works, but it takes 10+ min to print the first 10 examples, which is even longer than the downloading time. I'm not sure if it just caches the whole hdf5 file and generates the examples.
### Expected behavior
So does the following make sense so far?
1. download the files
```python
dataset = datasets.load('path/to/myscripts', split="train", name="event", trust_remote_code=True)
```
2. load the iterable dataset faster (using the raw file cache at path `.cache/huggingface/datasets/downloads`)
```python
dataset = datasets.load('path/to/myscripts', split="train", name="event", trust_remote_code=True, streaming=true)
```
I made some tests, but the code above can't get the expected result. I'm not sure if this is supported. I also find the issue #6327 . It seemed similar to mine, but I couldn't find a solution.
### Environment info
- `datasets` = 2.18.0
- `h5py` = 3.10.0
- `fsspec` = 2023.10.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7040/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7040/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7039 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7039/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7039/comments | https://api.github.com/repos/huggingface/datasets/issues/7039/events | https://github.com/huggingface/datasets/pull/7039 | 2402403390 | PR_kwDODunzps51DgCY | 7039 | Fix export to JSON when dataset larger than batch size | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7039). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"The test before confirms the bug.\r\n\r\nThere are different possible solutions to this issue:\r\n- the easiest would be to write multiple JSON files, one for each batch; this solution can be done in parallel if `num_proc` is passed\r\n- alternatively, we could tweak the writing and remove the extra `[` and `]` characters; this solution will only be valid if `orient=\"records\"`\r\n- others?"
] | 2024-07-11T06:52:22 | 2024-07-11T07:27:58 | NaT | MEMBER | nan | Fix export to JSON (`files=False`) when dataset larger than batch size.
Fix #7037. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7039/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7039/timeline | nan | None | 1.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7039', 'html_url': 'https://github.com/huggingface/datasets/pull/7039', 'diff_url': 'https://github.com/huggingface/datasets/pull/7039.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7039.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/7038 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7038/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7038/comments | https://api.github.com/repos/huggingface/datasets/issues/7038/events | https://github.com/huggingface/datasets/issues/7038 | 2402081227 | I_kwDODunzps6PLNnL | 7038 | Yes, can definitely elaborate: | {'login': 'Khaliq88', 'id': 165458456, 'node_id': 'U_kgDOCdyyGA', 'avatar_url': 'https://avatars.githubusercontent.com/u/165458456?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/Khaliq88', 'html_url': 'https://github.com/Khaliq88', 'followers_url': 'https://api.github.com/users/Khaliq88/followers', 'following_url': 'https://api.github.com/users/Khaliq88/following{/other_user}', 'gists_url': 'https://api.github.com/users/Khaliq88/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/Khaliq88/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/Khaliq88/subscriptions', 'organizations_url': 'https://api.github.com/users/Khaliq88/orgs', 'repos_url': 'https://api.github.com/users/Khaliq88/repos', 'events_url': 'https://api.github.com/users/Khaliq88/events{/privacy}', 'received_events_url': 'https://api.github.com/users/Khaliq88/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"This is the `datasets` repository, and the issue should be opened in the `transformers` repo instead."
] | 2024-07-11T02:22:30 | 2024-07-11T05:28:39 | 2024-07-11 05:28:39+00:00 | NONE | nan | Yes, can definitely elaborate:
Say I want to use HF Trainer with an arbitrary PyTorch optimizer (`AdamW` here just as an example). Then I should intuitively extend `Trainer` like:
```python
class CustomOptimizerTrainer(Trainer):
@staticmethod
def get_optimizer_cls_and_kwargs(args: HfTrainingArguments, model=None) -> tuple[type[torch.optim.Optimizer], dict[str, Any]]:
optimizer = torch.optim.AdamW
optimizer_kwargs = {
"lr": 4e-3,
"betas": (0.9, 0.999),
"weight_decay": 0.05,
}
return optimizer, optimizer_kwargs
```
However, this won't take effect, because `Trainer.create_optimizer` hardcodes the `Trainer` class name when calling `get_optimizer_cls_and_kwargs`:
https://github.com/huggingface/transformers/blob/6c1d0b069de22d7ed8aa83f733c25045eea0585d/src/transformers/trainer.py#L1076
`CustomOptimizerTrainer.get_optimizer_cls_and_kwargs` will never be called.
So I could either:
- also override the entire `create_optimizer` and rewrite `Trainer.get_optimizer_cls_and_kwargs` to `self.get_optimizer_cls_and_kwargs` (overkill)
- or monkey-patch (not ideal):
```python
class CustomOptimizerTrainer(Trainer):
# def get_optimizer_cls_and_kwargs ...
def create_optimizer(self):
trainer_get_optimizer_fn = Trainer.get_optimizer_cls_and_kwargs
Trainer.get_optimizer_cls_and_kwargs = self.get_optimizer_cls_and_kwargs
optimizer = super().create_optimizer()
Trainer.get_optimizer_cls_and_kwargs = trainer_get_optimizer_fn
return optimizer
```
But I think the best fix is to change `Trainer.get_optimizer_cls_and_kwargs` to `self.get_optimizer_cls_and_kwargs` in the original source of `Trainer.create_optimizer`.
I also made `get_optimizer_cls_and_kwargs` an instance method instead of a static method, but that probably doesn't matter as much and can be reverted. It breaks the syntax of the tests.
Please let me know if that's clearer and if you agree! Thanks!
_Originally posted by @apoorvkh in https://github.com/huggingface/transformers/issues/31875#issuecomment-2221491647_
| {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7038/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7038/timeline | nan | not_planned | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7037 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7037/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7037/comments | https://api.github.com/repos/huggingface/datasets/issues/7037/events | https://github.com/huggingface/datasets/issues/7037 | 2400192419 | I_kwDODunzps6PEAej | 7037 | A bug of Dataset.to_json() function | {'login': 'LinglingGreat', 'id': 26499566, 'node_id': 'MDQ6VXNlcjI2NDk5NTY2', 'avatar_url': 'https://avatars.githubusercontent.com/u/26499566?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/LinglingGreat', 'html_url': 'https://github.com/LinglingGreat', 'followers_url': 'https://api.github.com/users/LinglingGreat/followers', 'following_url': 'https://api.github.com/users/LinglingGreat/following{/other_user}', 'gists_url': 'https://api.github.com/users/LinglingGreat/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/LinglingGreat/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/LinglingGreat/subscriptions', 'organizations_url': 'https://api.github.com/users/LinglingGreat/orgs', 'repos_url': 'https://api.github.com/users/LinglingGreat/repos', 'events_url': 'https://api.github.com/users/LinglingGreat/events{/privacy}', 'received_events_url': 'https://api.github.com/users/LinglingGreat/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892857, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODU3', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/bug', 'name': 'bug', 'color': 'd73a4a', 'default': True, 'description': "Something isn't working"}] | open | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [
"Thanks for reporting, @LinglingGreat.\r\n\r\nI confirm this is a bug."
] | 2024-07-10T09:11:22 | 2024-07-10T13:07:44 | NaT | NONE | nan | ### Describe the bug
When using the Dataset.to_json() function, an unexpected error occurs if the parameter is set to lines=False. The stored data should be in the form of a list, but it actually turns into multiple lists, which causes an error when reading the data again.
The reason is that to_json() writes to the file in several segments based on the batch size. This is not a problem when lines=True, but it is incorrect when lines=False, because writing in several times will produce multiple lists(when len(dataset) > batch_size).
### Steps to reproduce the bug
try this code:
```python
from datasets import load_dataset
import json
train_dataset = load_dataset("Anthropic/hh-rlhf", data_dir="harmless-base")["train"]
output_path = "./harmless-base_hftojs.json"
print(len(train_dataset))
train_dataset.to_json(output_path, lines=False, force_ascii=False, indent=2)
with open(output_path, encoding="utf-8") as f:
data = json.loads(f.read())
```
it raise error: json.decoder.JSONDecodeError: Extra data: line 4003 column 1 (char 1373709)
Extra square brackets have appeared here:
<img width="265" alt="image" src="https://github.com/huggingface/datasets/assets/26499566/81492332-386d-42e8-88d1-b6d4ae3682cc">
### Expected behavior
The code runs normally.
### Environment info
datasets=2.20.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7037/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7037/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7036 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7036/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7036/comments | https://api.github.com/repos/huggingface/datasets/issues/7036/events | https://github.com/huggingface/datasets/pull/7036 | 2400035672 | PR_kwDODunzps507bZk | 7036 | Fix doc generation when NamedSplit is used as parameter default value | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7036). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-07-10T07:58:46 | 2024-07-10T08:01:00 | NaT | MEMBER | nan | Fix doc generation when `NamedSplit` is used as parameter default value.
Fix #7035. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7036/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7036/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7036', 'html_url': 'https://github.com/huggingface/datasets/pull/7036', 'diff_url': 'https://github.com/huggingface/datasets/pull/7036.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7036.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/7035 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7035/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7035/comments | https://api.github.com/repos/huggingface/datasets/issues/7035/events | https://github.com/huggingface/datasets/issues/7035 | 2400021225 | I_kwDODunzps6PDWrp | 7035 | Docs are not generated when a parameter defaults to a NamedSplit value | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 4296013012, 'node_id': 'LA_kwDODunzps8AAAABAA_01A', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/maintenance', 'name': 'maintenance', 'color': 'd4c5f9', 'default': False, 'description': 'Maintenance tasks'}] | open | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-07-10T07:51:24 | 2024-07-10T07:53:08 | NaT | MEMBER | nan | While generating the docs, we get an error when some parameter defaults to a `NamedSplit` value, like:
```python
def call_function(split=Split.TRAIN):
...
```
The error is: ValueError: Equality not supported between split train and <class 'inspect._empty'>
See: https://github.com/huggingface/datasets/actions/runs/9869660902/job/27254359863?pr=7015
```
Building the MDX files: 97%|█████████▋| 58/60 [00:00<00:00, 91.94it/s]
Traceback (most recent call last):
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/doc_builder/build_doc.py", line 197, in build_mdx_files
content, new_anchors, source_files, errors = resolve_autodoc(
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/doc_builder/build_doc.py", line 123, in resolve_autodoc
doc = autodoc(
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/doc_builder/autodoc.py", line 499, in autodoc
method_doc, check = document_object(
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/doc_builder/autodoc.py", line 395, in document_object
signature = format_signature(obj)
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/doc_builder/autodoc.py", line 126, in format_signature
if param.default != inspect._empty:
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/datasets/splits.py", line 136, in __ne__
return not self.__eq__(other)
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/datasets/splits.py", line 379, in __eq__
raise ValueError(f"Equality not supported between split {self} and {other}")
ValueError: Equality not supported between split train and <class 'inspect._empty'>
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/runner/work/datasets/datasets/.venv/bin/doc-builder", line 8, in <module>
sys.exit(main())
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/doc_builder/commands/doc_builder_cli.py", line 47, in main
args.func(args)
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/doc_builder/commands/build.py", line 102, in build_command
build_doc(
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/doc_builder/build_doc.py", line 367, in build_doc
anchors_mapping, source_files_mapping = build_mdx_files(
File "/home/runner/work/datasets/datasets/.venv/lib/python3.10/site-packages/doc_builder/build_doc.py", line 230, in build_mdx_files
raise type(e)(f"There was an error when converting {file} to the MDX format.\n" + e.args[0]) from e
ValueError: There was an error when converting ../datasets/docs/source/package_reference/main_classes.mdx to the MDX format.
Equality not supported between split train and <class 'inspect._empty'>
``` | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7035/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7035/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7034 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7034/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7034/comments | https://api.github.com/repos/huggingface/datasets/issues/7034/events | https://github.com/huggingface/datasets/pull/7034 | 2397525974 | PR_kwDODunzps50y-ya | 7034 | chore: fix typos in docs | {'login': 'hattizai', 'id': 150505746, 'node_id': 'U_kgDOCPiJEg', 'avatar_url': 'https://avatars.githubusercontent.com/u/150505746?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/hattizai', 'html_url': 'https://github.com/hattizai', 'followers_url': 'https://api.github.com/users/hattizai/followers', 'following_url': 'https://api.github.com/users/hattizai/following{/other_user}', 'gists_url': 'https://api.github.com/users/hattizai/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/hattizai/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/hattizai/subscriptions', 'organizations_url': 'https://api.github.com/users/hattizai/orgs', 'repos_url': 'https://api.github.com/users/hattizai/repos', 'events_url': 'https://api.github.com/users/hattizai/events{/privacy}', 'received_events_url': 'https://api.github.com/users/hattizai/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [] | 2024-07-09T08:35:05 | 2024-07-09T13:32:05 | NaT | NONE | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7034/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7034/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7034', 'html_url': 'https://github.com/huggingface/datasets/pull/7034', 'diff_url': 'https://github.com/huggingface/datasets/pull/7034.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7034.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/7033 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7033/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7033/comments | https://api.github.com/repos/huggingface/datasets/issues/7033/events | https://github.com/huggingface/datasets/issues/7033 | 2397419768 | I_kwDODunzps6O5bj4 | 7033 | `from_generator` does not allow to specify the split name | {'login': 'pminervini', 'id': 227357, 'node_id': 'MDQ6VXNlcjIyNzM1Nw==', 'avatar_url': 'https://avatars.githubusercontent.com/u/227357?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/pminervini', 'html_url': 'https://github.com/pminervini', 'followers_url': 'https://api.github.com/users/pminervini/followers', 'following_url': 'https://api.github.com/users/pminervini/following{/other_user}', 'gists_url': 'https://api.github.com/users/pminervini/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/pminervini/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/pminervini/subscriptions', 'organizations_url': 'https://api.github.com/users/pminervini/orgs', 'repos_url': 'https://api.github.com/users/pminervini/repos', 'events_url': 'https://api.github.com/users/pminervini/events{/privacy}', 'received_events_url': 'https://api.github.com/users/pminervini/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"Thanks for reporting, @pminervini.\r\n\r\nI agree we should give the option to define the split name.\r\n\r\nIndeed, there is a PR that addresses precisely this issue:\r\n- #7015\r\n\r\nI am reviewing it."
] | 2024-07-09T07:47:58 | 2024-07-09T08:05:23 | NaT | CONTRIBUTOR | nan | ### Describe the bug
I'm building train, dev, and test using `from_generator`; however, in all three cases, the logger prints `Generating train split:`
It's not possible to change the split name since it seems to be hardcoded: https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/generator/generator.py
### Steps to reproduce the bug
```
In [1]: from datasets import Dataset
In [2]: def gen():
...: yield {"pokemon": "bulbasaur", "type": "grass"}
...:
In [3]: ds = Dataset.from_generator(gen)
Generating train split: 1 examples [00:00, 133.89 examples/s]
```
### Expected behavior
It should be possible to specify any split name
### Environment info
- `datasets` version: 2.19.2
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.5
- `huggingface_hub` version: 0.23.3
- PyArrow version: 15.0.0
- Pandas version: 2.0.3
- `fsspec` version: 2023.10.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7033/reactions', 'total_count': 1, '+1': 1, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7033/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7032 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7032/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7032/comments | https://api.github.com/repos/huggingface/datasets/issues/7032/events | https://github.com/huggingface/datasets/pull/7032 | 2395531699 | PR_kwDODunzps50sJTq | 7032 | Register `.zstd` extension for zstd-compressed files | {'login': 'polinaeterna', 'id': 16348744, 'node_id': 'MDQ6VXNlcjE2MzQ4NzQ0', 'avatar_url': 'https://avatars.githubusercontent.com/u/16348744?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/polinaeterna', 'html_url': 'https://github.com/polinaeterna', 'followers_url': 'https://api.github.com/users/polinaeterna/followers', 'following_url': 'https://api.github.com/users/polinaeterna/following{/other_user}', 'gists_url': 'https://api.github.com/users/polinaeterna/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/polinaeterna/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/polinaeterna/subscriptions', 'organizations_url': 'https://api.github.com/users/polinaeterna/orgs', 'repos_url': 'https://api.github.com/users/polinaeterna/repos', 'events_url': 'https://api.github.com/users/polinaeterna/events{/privacy}', 'received_events_url': 'https://api.github.com/users/polinaeterna/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7032). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@albertvillanova hm I don't know tbh, it's just that \"mlfoundations/dclm-baseline-1.0\" dataset contains [files](https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0/tree/main/global-shard_01_of_10/local-shard_0_of_10) with this extension and these files seem to be valid ",
"not sure why CI is failing but seems to be unrelated to this pr? can I merge @lhoestq @albertvillanova ?",
"yes you can merge, the CI failure is unrelated (surely an issue with hub-ci)",
"ah why not, you could try opening a PR\r\n\r\nbtw there is a channel with them at (internal) https://app.slack.com/client/T1RCG4490/C079AKTV11P if you want to let them know",
"@lhoestq, your previous comment was addressed to me or Polina?\r\n\r\n@polinaeterna let me know if it is OK for you."
] | 2024-07-08T12:39:50 | 2024-07-11T08:15:17 | NaT | CONTRIBUTOR | nan | For example, https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0 dataset files have `.zstd` extension which is currently ignored (only `.zst` is registered). | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7032/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7032/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7032', 'html_url': 'https://github.com/huggingface/datasets/pull/7032', 'diff_url': 'https://github.com/huggingface/datasets/pull/7032.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7032.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/7031 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7031/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7031/comments | https://api.github.com/repos/huggingface/datasets/issues/7031/events | https://github.com/huggingface/datasets/issues/7031 | 2395401692 | I_kwDODunzps6Oxu3c | 7031 | CI quality is broken: use ruff check instead | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-07-08T11:42:24 | 2024-07-08T11:47:29 | 2024-07-08 11:47:29+00:00 | MEMBER | nan | CI quality is broken: https://github.com/huggingface/datasets/actions/runs/9838873879/job/27159697027
```
error: `ruff <path>` has been removed. Use `ruff check <path>` instead.
``` | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7031/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7031/timeline | nan | not_planned | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7030 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7030/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7030/comments | https://api.github.com/repos/huggingface/datasets/issues/7030/events | https://github.com/huggingface/datasets/issues/7030 | 2393411631 | I_kwDODunzps6OqJAv | 7030 | Add option to disable progress bar when reading a dataset ("Loading dataset from disk") | {'login': 'yuvalkirstain', 'id': 57996478, 'node_id': 'MDQ6VXNlcjU3OTk2NDc4', 'avatar_url': 'https://avatars.githubusercontent.com/u/57996478?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/yuvalkirstain', 'html_url': 'https://github.com/yuvalkirstain', 'followers_url': 'https://api.github.com/users/yuvalkirstain/followers', 'following_url': 'https://api.github.com/users/yuvalkirstain/following{/other_user}', 'gists_url': 'https://api.github.com/users/yuvalkirstain/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/yuvalkirstain/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/yuvalkirstain/subscriptions', 'organizations_url': 'https://api.github.com/users/yuvalkirstain/orgs', 'repos_url': 'https://api.github.com/users/yuvalkirstain/repos', 'events_url': 'https://api.github.com/users/yuvalkirstain/events{/privacy}', 'received_events_url': 'https://api.github.com/users/yuvalkirstain/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892871, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement', 'name': 'enhancement', 'color': 'a2eeef', 'default': True, 'description': 'New feature or request'}] | open | False | None | [] | None | [] | 2024-07-06T05:43:37 | 2024-07-06T05:44:19 | NaT | NONE | nan | ### Feature request
Add an option in load_from_disk to disable the progress bar even if the number of files is larger than 16.
### Motivation
I am reading a lot of datasets that it creates lots of logs.
<img width="1432" alt="image" src="https://github.com/huggingface/datasets/assets/57996478/8d4bbf03-6b89-44b6-937c-932f01b4eb2a">
### Your contribution
Seems like an easy fix to make. I can create a PR if necessary. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7030/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7030/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7029 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7029/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7029/comments | https://api.github.com/repos/huggingface/datasets/issues/7029/events | https://github.com/huggingface/datasets/issues/7029 | 2391366696 | I_kwDODunzps6OiVwo | 7029 | load_dataset on AWS lambda throws OSError(30, 'Read-only file system') error | {'login': 'sugam-nexusflow', 'id': 171606538, 'node_id': 'U_kgDOCjqCCg', 'avatar_url': 'https://avatars.githubusercontent.com/u/171606538?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/sugam-nexusflow', 'html_url': 'https://github.com/sugam-nexusflow', 'followers_url': 'https://api.github.com/users/sugam-nexusflow/followers', 'following_url': 'https://api.github.com/users/sugam-nexusflow/following{/other_user}', 'gists_url': 'https://api.github.com/users/sugam-nexusflow/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/sugam-nexusflow/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/sugam-nexusflow/subscriptions', 'organizations_url': 'https://api.github.com/users/sugam-nexusflow/orgs', 'repos_url': 'https://api.github.com/users/sugam-nexusflow/repos', 'events_url': 'https://api.github.com/users/sugam-nexusflow/events{/privacy}', 'received_events_url': 'https://api.github.com/users/sugam-nexusflow/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [] | 2024-07-04T19:15:16 | 2024-07-04T19:17:46 | NaT | NONE | nan | ### Describe the bug
I'm using AWS lambda to run a python application. I run the `load_dataset` function with cache_dir="/tmp" and is still throws the OSError(30, 'Read-only file system') error. Is even updated all the HF envs to point to /tmp dir but the issue still persists. I can confirm that the I can write to /tmp directory.
### Steps to reproduce the bug
```python
d = load_dataset(
path=hugging_face_link,
split=split,
token=token,
cache_dir="/tmp/hugging_face_cache",
)
```
### Expected behavior
Everything written to the file system as part of the load_datasets function should be in the /tmp directory.
### Environment info
datasets version: 2.16.1
Platform: Linux-5.10.216-225.855.amzn2.x86_64-x86_64-with-glibc2.26
Python version: 3.11.9
huggingface_hub version: 0.19.4
PyArrow version: 16.1.0
Pandas version: 2.2.2
fsspec version: 2023.10.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7029/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7029/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7028 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7028/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7028/comments | https://api.github.com/repos/huggingface/datasets/issues/7028/events | https://github.com/huggingface/datasets/pull/7028 | 2391077531 | PR_kwDODunzps50dQ1w | 7028 | Fix ci | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7028). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005748 / 0.011353 (-0.005605) | 0.004109 / 0.011008 (-0.006899) | 0.067017 / 0.038508 (0.028509) | 0.031950 / 0.023109 (0.008841) | 0.239939 / 0.275898 (-0.035959) | 0.266339 / 0.323480 (-0.057141) | 0.003176 / 0.007986 (-0.004809) | 0.003556 / 0.004328 (-0.000773) | 0.050725 / 0.004250 (0.046475) | 0.047711 / 0.037052 (0.010658) | 0.251048 / 0.258489 (-0.007441) | 0.287049 / 0.293841 (-0.006792) | 0.029919 / 0.128546 (-0.098627) | 0.012562 / 0.075646 (-0.063085) | 0.212903 / 0.419271 (-0.206369) | 0.036570 / 0.043533 (-0.006963) | 0.240975 / 0.255139 (-0.014164) | 0.266473 / 0.283200 (-0.016726) | 0.019959 / 0.141683 (-0.121724) | 1.152224 / 1.452155 (-0.299931) | 1.186046 / 1.492716 (-0.306671) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095836 / 0.018006 (0.077829) | 0.303402 / 0.000490 (0.302913) | 0.000210 / 0.000200 (0.000010) | 0.000042 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.020552 / 0.037411 (-0.016859) | 0.063619 / 0.014526 (0.049093) | 0.076969 / 0.176557 (-0.099588) | 0.123368 / 0.737135 (-0.613767) | 0.077005 / 0.296338 (-0.219334) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.282005 / 0.215209 (0.066796) | 2.794144 / 2.077655 (0.716489) | 1.463569 / 1.504120 (-0.040551) | 1.334295 / 1.541195 (-0.206899) | 1.387198 / 1.468490 (-0.081292) | 0.707654 / 4.584777 (-3.877123) | 2.341698 / 3.745712 (-1.404014) | 2.865131 / 5.269862 (-2.404731) | 1.945168 / 4.565676 (-2.620509) | 0.077926 / 0.424275 (-0.346349) | 0.005470 / 0.007607 (-0.002137) | 0.336498 / 0.226044 (0.110454) | 3.330262 / 2.268929 (1.061334) | 1.865574 / 55.444624 (-53.579050) | 1.536932 / 6.876477 (-5.339545) | 1.720960 / 2.142072 (-0.421113) | 0.794753 / 4.805227 (-4.010475) | 0.133491 / 6.500664 (-6.367173) | 0.042437 / 0.075469 (-0.033032) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.976788 / 1.841788 (-0.865000) | 11.895137 / 8.074308 (3.820829) | 9.211969 / 10.191392 (-0.979423) | 0.141798 / 0.680424 (-0.538626) | 0.014354 / 0.534201 (-0.519847) | 0.306044 / 0.579283 (-0.273239) | 0.265016 / 0.434364 (-0.169348) | 0.340877 / 0.540337 (-0.199460) | 0.470449 / 1.386936 (-0.916487) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.006134 / 0.011353 (-0.005219) | 0.004023 / 0.011008 (-0.006985) | 0.050419 / 0.038508 (0.011911) | 0.033853 / 0.023109 (0.010744) | 0.266799 / 0.275898 (-0.009099) | 0.291248 / 0.323480 (-0.032232) | 0.004474 / 0.007986 (-0.003511) | 0.002847 / 0.004328 (-0.001481) | 0.049895 / 0.004250 (0.045645) | 0.041160 / 0.037052 (0.004108) | 0.278818 / 0.258489 (0.020329) | 0.314027 / 0.293841 (0.020186) | 0.032303 / 0.128546 (-0.096243) | 0.012367 / 0.075646 (-0.063279) | 0.061495 / 0.419271 (-0.357776) | 0.033512 / 0.043533 (-0.010021) | 0.266168 / 0.255139 (0.011029) | 0.283129 / 0.283200 (-0.000071) | 0.018674 / 0.141683 (-0.123009) | 1.124453 / 1.452155 (-0.327701) | 1.164527 / 1.492716 (-0.328189) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.098522 / 0.018006 (0.080516) | 0.315069 / 0.000490 (0.314579) | 0.000202 / 0.000200 (0.000002) | 0.000053 / 0.000054 (-0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022809 / 0.037411 (-0.014602) | 0.078409 / 0.014526 (0.063883) | 0.088558 / 0.176557 (-0.087998) | 0.130004 / 0.737135 (-0.607131) | 0.090507 / 0.296338 (-0.205832) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.291323 / 0.215209 (0.076114) | 2.836363 / 2.077655 (0.758708) | 1.548889 / 1.504120 (0.044769) | 1.423857 / 1.541195 (-0.117337) | 1.461667 / 1.468490 (-0.006823) | 0.714956 / 4.584777 (-3.869821) | 0.948170 / 3.745712 (-2.797542) | 3.036151 / 5.269862 (-2.233711) | 1.923824 / 4.565676 (-2.641853) | 0.078002 / 0.424275 (-0.346273) | 0.005198 / 0.007607 (-0.002409) | 0.337007 / 0.226044 (0.110963) | 3.310255 / 2.268929 (1.041327) | 1.910371 / 55.444624 (-53.534253) | 1.619855 / 6.876477 (-5.256622) | 1.682093 / 2.142072 (-0.459979) | 0.789903 / 4.805227 (-4.015324) | 0.132117 / 6.500664 (-6.368547) | 0.041312 / 0.075469 (-0.034157) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.997658 / 1.841788 (-0.844130) | 12.447878 / 8.074308 (4.373570) | 10.277662 / 10.191392 (0.086270) | 0.143580 / 0.680424 (-0.536844) | 0.016472 / 0.534201 (-0.517729) | 0.307235 / 0.579283 (-0.272048) | 0.125469 / 0.434364 (-0.308895) | 0.339525 / 0.540337 (-0.200813) | 0.427371 / 1.386936 (-0.959566) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#689447f8c86f777829a4db9ccc5d8133c12ec84c \"CML watermark\")\n"
] | 2024-07-04T15:11:08 | 2024-07-04T15:26:35 | 2024-07-04 15:19:16+00:00 | MEMBER | nan | ...after last pr errors | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7028/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7028/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7028', 'html_url': 'https://github.com/huggingface/datasets/pull/7028', 'diff_url': 'https://github.com/huggingface/datasets/pull/7028.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7028.patch', 'merged_at': '2024-07-04T15:19:16Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7027 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7027/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7027/comments | https://api.github.com/repos/huggingface/datasets/issues/7027/events | https://github.com/huggingface/datasets/pull/7027 | 2391013330 | PR_kwDODunzps50dCsE | 7027 | Missing line from previous pr | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7027). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005612 / 0.011353 (-0.005741) | 0.004023 / 0.011008 (-0.006985) | 0.065578 / 0.038508 (0.027070) | 0.030476 / 0.023109 (0.007367) | 0.237131 / 0.275898 (-0.038767) | 0.269388 / 0.323480 (-0.054092) | 0.003364 / 0.007986 (-0.004622) | 0.002938 / 0.004328 (-0.001390) | 0.050867 / 0.004250 (0.046617) | 0.049456 / 0.037052 (0.012403) | 0.249587 / 0.258489 (-0.008902) | 0.291132 / 0.293841 (-0.002709) | 0.029373 / 0.128546 (-0.099174) | 0.012266 / 0.075646 (-0.063380) | 0.206239 / 0.419271 (-0.213033) | 0.037192 / 0.043533 (-0.006340) | 0.244902 / 0.255139 (-0.010237) | 0.269779 / 0.283200 (-0.013421) | 0.019870 / 0.141683 (-0.121813) | 1.123697 / 1.452155 (-0.328458) | 1.181256 / 1.492716 (-0.311460) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.108535 / 0.018006 (0.090529) | 0.317838 / 0.000490 (0.317348) | 0.000216 / 0.000200 (0.000016) | 0.000043 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019097 / 0.037411 (-0.018315) | 0.063836 / 0.014526 (0.049310) | 0.075446 / 0.176557 (-0.101111) | 0.124503 / 0.737135 (-0.612632) | 0.077730 / 0.296338 (-0.218608) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.284688 / 0.215209 (0.069479) | 2.817832 / 2.077655 (0.740178) | 1.487342 / 1.504120 (-0.016778) | 1.354037 / 1.541195 (-0.187158) | 1.426904 / 1.468490 (-0.041586) | 0.728754 / 4.584777 (-3.856022) | 2.361140 / 3.745712 (-1.384573) | 2.926215 / 5.269862 (-2.343647) | 1.981767 / 4.565676 (-2.583909) | 0.079278 / 0.424275 (-0.344997) | 0.005567 / 0.007607 (-0.002040) | 0.336590 / 0.226044 (0.110546) | 3.371062 / 2.268929 (1.102134) | 1.845343 / 55.444624 (-53.599282) | 1.537699 / 6.876477 (-5.338777) | 1.731407 / 2.142072 (-0.410665) | 0.796148 / 4.805227 (-4.009079) | 0.133830 / 6.500664 (-6.366835) | 0.043117 / 0.075469 (-0.032352) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.980786 / 1.841788 (-0.861001) | 12.653553 / 8.074308 (4.579245) | 9.402636 / 10.191392 (-0.788756) | 0.143756 / 0.680424 (-0.536667) | 0.014896 / 0.534201 (-0.519304) | 0.328796 / 0.579283 (-0.250487) | 0.275108 / 0.434364 (-0.159255) | 0.343397 / 0.540337 (-0.196940) | 0.472301 / 1.386936 (-0.914635) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005882 / 0.011353 (-0.005471) | 0.003982 / 0.011008 (-0.007026) | 0.050484 / 0.038508 (0.011976) | 0.035217 / 0.023109 (0.012108) | 0.271683 / 0.275898 (-0.004215) | 0.291498 / 0.323480 (-0.031982) | 0.004429 / 0.007986 (-0.003557) | 0.002928 / 0.004328 (-0.001401) | 0.049386 / 0.004250 (0.045136) | 0.040868 / 0.037052 (0.003815) | 0.280968 / 0.258489 (0.022479) | 0.314880 / 0.293841 (0.021039) | 0.032590 / 0.128546 (-0.095956) | 0.012319 / 0.075646 (-0.063327) | 0.060354 / 0.419271 (-0.358917) | 0.034138 / 0.043533 (-0.009394) | 0.267491 / 0.255139 (0.012352) | 0.283077 / 0.283200 (-0.000123) | 0.017784 / 0.141683 (-0.123899) | 1.154835 / 1.452155 (-0.297320) | 1.179271 / 1.492716 (-0.313446) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.100519 / 0.018006 (0.082513) | 0.309043 / 0.000490 (0.308553) | 0.000222 / 0.000200 (0.000022) | 0.000055 / 0.000054 (0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.024056 / 0.037411 (-0.013356) | 0.077810 / 0.014526 (0.063284) | 0.092682 / 0.176557 (-0.083875) | 0.132101 / 0.737135 (-0.605034) | 0.091986 / 0.296338 (-0.204352) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.298186 / 0.215209 (0.082977) | 2.905134 / 2.077655 (0.827479) | 1.552364 / 1.504120 (0.048245) | 1.424644 / 1.541195 (-0.116551) | 1.457667 / 1.468490 (-0.010823) | 0.717606 / 4.584777 (-3.867171) | 0.944470 / 3.745712 (-2.801242) | 3.056236 / 5.269862 (-2.213626) | 1.946453 / 4.565676 (-2.619223) | 0.080525 / 0.424275 (-0.343750) | 0.005235 / 0.007607 (-0.002372) | 0.348561 / 0.226044 (0.122516) | 3.449350 / 2.268929 (1.180421) | 1.930165 / 55.444624 (-53.514459) | 1.620883 / 6.876477 (-5.255593) | 1.671963 / 2.142072 (-0.470109) | 0.801978 / 4.805227 (-4.003249) | 0.134494 / 6.500664 (-6.366170) | 0.041888 / 0.075469 (-0.033581) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.005961 / 1.841788 (-0.835826) | 12.687638 / 8.074308 (4.613330) | 10.398730 / 10.191392 (0.207338) | 0.134503 / 0.680424 (-0.545920) | 0.015839 / 0.534201 (-0.518362) | 0.307465 / 0.579283 (-0.271819) | 0.130805 / 0.434364 (-0.303559) | 0.349079 / 0.540337 (-0.191259) | 0.437609 / 1.386936 (-0.949327) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#cc6ac9e5f70811a450198203ddc077c0c7bff206 \"CML watermark\")\n"
] | 2024-07-04T14:34:29 | 2024-07-04T14:40:46 | 2024-07-04 14:34:36+00:00 | MEMBER | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7027/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7027/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7027', 'html_url': 'https://github.com/huggingface/datasets/pull/7027', 'diff_url': 'https://github.com/huggingface/datasets/pull/7027.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7027.patch', 'merged_at': '2024-07-04T14:34:36Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7026 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7026/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7026/comments | https://api.github.com/repos/huggingface/datasets/issues/7026/events | https://github.com/huggingface/datasets/pull/7026 | 2390983889 | PR_kwDODunzps50c8Mf | 7026 | Fix check_library_imports | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7026). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005637 / 0.011353 (-0.005716) | 0.003967 / 0.011008 (-0.007041) | 0.064187 / 0.038508 (0.025679) | 0.031356 / 0.023109 (0.008246) | 0.239203 / 0.275898 (-0.036695) | 0.261033 / 0.323480 (-0.062447) | 0.003256 / 0.007986 (-0.004730) | 0.003416 / 0.004328 (-0.000913) | 0.049673 / 0.004250 (0.045423) | 0.047021 / 0.037052 (0.009969) | 0.252146 / 0.258489 (-0.006343) | 0.283663 / 0.293841 (-0.010178) | 0.030223 / 0.128546 (-0.098324) | 0.012342 / 0.075646 (-0.063304) | 0.213061 / 0.419271 (-0.206211) | 0.036867 / 0.043533 (-0.006665) | 0.242589 / 0.255139 (-0.012550) | 0.265584 / 0.283200 (-0.017616) | 0.019149 / 0.141683 (-0.122533) | 1.108909 / 1.452155 (-0.343246) | 1.148484 / 1.492716 (-0.344232) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096815 / 0.018006 (0.078809) | 0.299633 / 0.000490 (0.299143) | 0.000212 / 0.000200 (0.000013) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018947 / 0.037411 (-0.018464) | 0.061640 / 0.014526 (0.047114) | 0.074621 / 0.176557 (-0.101935) | 0.120830 / 0.737135 (-0.616305) | 0.075472 / 0.296338 (-0.220866) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.284626 / 0.215209 (0.069417) | 2.805299 / 2.077655 (0.727644) | 1.469879 / 1.504120 (-0.034241) | 1.355524 / 1.541195 (-0.185671) | 1.388246 / 1.468490 (-0.080244) | 0.726740 / 4.584777 (-3.858037) | 2.387461 / 3.745712 (-1.358251) | 2.834137 / 5.269862 (-2.435724) | 1.915750 / 4.565676 (-2.649927) | 0.079223 / 0.424275 (-0.345052) | 0.005489 / 0.007607 (-0.002118) | 0.335517 / 0.226044 (0.109473) | 3.299332 / 2.268929 (1.030403) | 1.817726 / 55.444624 (-53.626898) | 1.520834 / 6.876477 (-5.355642) | 1.696285 / 2.142072 (-0.445788) | 0.815147 / 4.805227 (-3.990080) | 0.136566 / 6.500664 (-6.364098) | 0.043482 / 0.075469 (-0.031987) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.981382 / 1.841788 (-0.860406) | 11.472890 / 8.074308 (3.398582) | 9.274181 / 10.191392 (-0.917211) | 0.133051 / 0.680424 (-0.547373) | 0.015417 / 0.534201 (-0.518784) | 0.306098 / 0.579283 (-0.273185) | 0.261424 / 0.434364 (-0.172940) | 0.338946 / 0.540337 (-0.201391) | 0.460776 / 1.386936 (-0.926160) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005806 / 0.011353 (-0.005547) | 0.004274 / 0.011008 (-0.006734) | 0.050831 / 0.038508 (0.012323) | 0.033717 / 0.023109 (0.010607) | 0.280561 / 0.275898 (0.004663) | 0.302437 / 0.323480 (-0.021043) | 0.004543 / 0.007986 (-0.003442) | 0.002905 / 0.004328 (-0.001424) | 0.048897 / 0.004250 (0.044646) | 0.041089 / 0.037052 (0.004037) | 0.291439 / 0.258489 (0.032950) | 0.319762 / 0.293841 (0.025921) | 0.033178 / 0.128546 (-0.095368) | 0.012336 / 0.075646 (-0.063311) | 0.061033 / 0.419271 (-0.358238) | 0.034018 / 0.043533 (-0.009515) | 0.278514 / 0.255139 (0.023375) | 0.295648 / 0.283200 (0.012448) | 0.018621 / 0.141683 (-0.123062) | 1.160250 / 1.452155 (-0.291905) | 1.183867 / 1.492716 (-0.308850) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096354 / 0.018006 (0.078348) | 0.301907 / 0.000490 (0.301417) | 0.000205 / 0.000200 (0.000006) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022357 / 0.037411 (-0.015054) | 0.076218 / 0.014526 (0.061692) | 0.088172 / 0.176557 (-0.088385) | 0.128621 / 0.737135 (-0.608515) | 0.089250 / 0.296338 (-0.207089) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.292633 / 0.215209 (0.077424) | 2.862456 / 2.077655 (0.784801) | 1.581967 / 1.504120 (0.077847) | 1.459822 / 1.541195 (-0.081373) | 1.475896 / 1.468490 (0.007406) | 0.728550 / 4.584777 (-3.856226) | 0.958819 / 3.745712 (-2.786893) | 3.011074 / 5.269862 (-2.258788) | 1.934393 / 4.565676 (-2.631283) | 0.079831 / 0.424275 (-0.344444) | 0.005249 / 0.007607 (-0.002358) | 0.346334 / 0.226044 (0.120290) | 3.438979 / 2.268929 (1.170051) | 1.935567 / 55.444624 (-53.509057) | 1.648723 / 6.876477 (-5.227754) | 1.685489 / 2.142072 (-0.456583) | 0.800992 / 4.805227 (-4.004236) | 0.139388 / 6.500664 (-6.361276) | 0.042518 / 0.075469 (-0.032951) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.031715 / 1.841788 (-0.810072) | 12.486711 / 8.074308 (4.412403) | 10.430191 / 10.191392 (0.238799) | 0.146884 / 0.680424 (-0.533540) | 0.015735 / 0.534201 (-0.518466) | 0.303938 / 0.579283 (-0.275346) | 0.140374 / 0.434364 (-0.293989) | 0.338508 / 0.540337 (-0.201830) | 0.429551 / 1.386936 (-0.957385) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#e32336195f3ea69988148df5f129f9f59d3ab595 \"CML watermark\")\n"
] | 2024-07-04T14:18:38 | 2024-07-04T14:28:36 | 2024-07-04 14:20:02+00:00 | MEMBER | nan | move it to after the `trust_remote_code` check
Note that it only affects local datasets that already exist on disk, not datasets loaded from HF directly | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7026/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7026/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7026', 'html_url': 'https://github.com/huggingface/datasets/pull/7026', 'diff_url': 'https://github.com/huggingface/datasets/pull/7026.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7026.patch', 'merged_at': '2024-07-04T14:20:02Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7025 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7025/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7025/comments | https://api.github.com/repos/huggingface/datasets/issues/7025/events | https://github.com/huggingface/datasets/pull/7025 | 2390488546 | PR_kwDODunzps50bSyD | 7025 | feat: support non streamable arrow file binary format | {'login': 'kmehant', 'id': 15800200, 'node_id': 'MDQ6VXNlcjE1ODAwMjAw', 'avatar_url': 'https://avatars.githubusercontent.com/u/15800200?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/kmehant', 'html_url': 'https://github.com/kmehant', 'followers_url': 'https://api.github.com/users/kmehant/followers', 'following_url': 'https://api.github.com/users/kmehant/following{/other_user}', 'gists_url': 'https://api.github.com/users/kmehant/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/kmehant/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/kmehant/subscriptions', 'organizations_url': 'https://api.github.com/users/kmehant/orgs', 'repos_url': 'https://api.github.com/users/kmehant/repos', 'events_url': 'https://api.github.com/users/kmehant/events{/privacy}', 'received_events_url': 'https://api.github.com/users/kmehant/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"requesting review - @albertvillanova @lhoestq ",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7025). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thank you for the review.\r\n\r\n> Before we merge could you also add a test in tests/packaged_modules/test_arrow.py ?\r\n\r\n> I noticed it's pretty empty right now compared to test_json.py or test_csv.py though, maybe I can take care of it next week if needed\r\n\r\n@lhoestq Would you like to take that up? since it needs adding some test data and I see no supportive examples for similar data formats - parquet pandas etc. Thanks"
] | 2024-07-04T10:11:12 | 2024-07-09T17:08:36 | NaT | NONE | nan | Support Arrow files (`.arrow`) that are in non streamable binary file formats. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7025/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7025/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7025', 'html_url': 'https://github.com/huggingface/datasets/pull/7025', 'diff_url': 'https://github.com/huggingface/datasets/pull/7025.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7025.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/7024 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7024/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7024/comments | https://api.github.com/repos/huggingface/datasets/issues/7024/events | https://github.com/huggingface/datasets/issues/7024 | 2390141626 | I_kwDODunzps6Odqq6 | 7024 | Streaming dataset not returning data | {'login': 'johnwee1', 'id': 91670254, 'node_id': 'U_kgDOBXbG7g', 'avatar_url': 'https://avatars.githubusercontent.com/u/91670254?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/johnwee1', 'html_url': 'https://github.com/johnwee1', 'followers_url': 'https://api.github.com/users/johnwee1/followers', 'following_url': 'https://api.github.com/users/johnwee1/following{/other_user}', 'gists_url': 'https://api.github.com/users/johnwee1/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/johnwee1/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/johnwee1/subscriptions', 'organizations_url': 'https://api.github.com/users/johnwee1/orgs', 'repos_url': 'https://api.github.com/users/johnwee1/repos', 'events_url': 'https://api.github.com/users/johnwee1/events{/privacy}', 'received_events_url': 'https://api.github.com/users/johnwee1/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [] | 2024-07-04T07:21:47 | 2024-07-04T07:21:47 | NaT | NONE | nan | ### Describe the bug
I'm deciding to post here because I'm still not sure what the issue is, or if I am using IterableDatasets wrongly.
I'm following the guide on here https://huggingface.co/learn/cookbook/en/fine_tuning_code_llm_on_single_gpu pretty much to a tee and have verified that it works when I'm fine-tuning on the provided dataset.
However, I'm doing some data preprocessing steps (filtering out entries), when I try to swap out the dataset for mine, it fails to train. However, I eventually fixed this by simply setting `stream=False` in `load_dataset`.
Coud this be some sort of network / firewall issue I'm facing?
### Steps to reproduce the bug
I made a post with greater description about how I reproduced this problem before I found my workaround: https://discuss.huggingface.co/t/problem-with-custom-iterator-of-streaming-dataset-not-returning-anything/94551
Here is the problematic dataset snippet, which works when streaming=False (and with buffer keyword removed from shuffle)
```
commitpackft = load_dataset(
"chargoddard/commitpack-ft-instruct", split="train", streaming=True
).filter(lambda example: example["language"] == "Python")
def form_template(example):
"""Forms a template for each example following the alpaca format for CommitPack"""
example["content"] = (
"### Human: " + example["instruction"] + " " + example["input"] + " ### Assistant: " + example["output"]
)
return example
dataset = commitpackft.map(
form_template,
remove_columns=["id", "language", "license", "instruction", "input", "output"],
).shuffle(
seed=42, buffer_size=10000
) # remove everything since its all inside "content" now
validation_data = dataset.take(4000)
train_data = dataset.skip(4000)
```
The annoying part about this is that it only fails during training and I don't know when it will fail, except that it always fails during evaluation.
### Expected behavior
The expected behavior is that I should be able to get something from the iterator when called instead of getting nothing / stuck in a loop somewhere.
### Environment info
- `datasets` version: 2.20.0
- Platform: Linux-5.4.0-121-generic-x86_64-with-glibc2.31
- Python version: 3.11.7
- `huggingface_hub` version: 0.23.4
- PyArrow version: 16.1.0
- Pandas version: 2.2.2
- `fsspec` version: 2024.5.0
| {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7024/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7024/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7023 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7023/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7023/comments | https://api.github.com/repos/huggingface/datasets/issues/7023/events | https://github.com/huggingface/datasets/pull/7023 | 2388090424 | PR_kwDODunzps50TDot | 7023 | Remove dead code for pyarrow < 15.0.0 | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7023). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005669 / 0.011353 (-0.005684) | 0.004233 / 0.011008 (-0.006775) | 0.063550 / 0.038508 (0.025041) | 0.031269 / 0.023109 (0.008160) | 0.234280 / 0.275898 (-0.041618) | 0.264517 / 0.323480 (-0.058963) | 0.003310 / 0.007986 (-0.004676) | 0.003640 / 0.004328 (-0.000688) | 0.050139 / 0.004250 (0.045889) | 0.046909 / 0.037052 (0.009856) | 0.253101 / 0.258489 (-0.005388) | 0.280281 / 0.293841 (-0.013560) | 0.029558 / 0.128546 (-0.098989) | 0.012537 / 0.075646 (-0.063110) | 0.209624 / 0.419271 (-0.209648) | 0.036857 / 0.043533 (-0.006676) | 0.236957 / 0.255139 (-0.018182) | 0.260510 / 0.283200 (-0.022689) | 0.019802 / 0.141683 (-0.121881) | 1.141747 / 1.452155 (-0.310407) | 1.172617 / 1.492716 (-0.320099) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.107381 / 0.018006 (0.089375) | 0.308401 / 0.000490 (0.307911) | 0.000227 / 0.000200 (0.000027) | 0.000056 / 0.000054 (0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019504 / 0.037411 (-0.017907) | 0.063920 / 0.014526 (0.049394) | 0.075375 / 0.176557 (-0.101181) | 0.122707 / 0.737135 (-0.614428) | 0.080015 / 0.296338 (-0.216324) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.288716 / 0.215209 (0.073507) | 2.862022 / 2.077655 (0.784368) | 1.472510 / 1.504120 (-0.031610) | 1.332989 / 1.541195 (-0.208206) | 1.395140 / 1.468490 (-0.073350) | 0.728042 / 4.584777 (-3.856735) | 2.409914 / 3.745712 (-1.335799) | 2.912514 / 5.269862 (-2.357347) | 1.986980 / 4.565676 (-2.578697) | 0.078587 / 0.424275 (-0.345688) | 0.005601 / 0.007607 (-0.002006) | 0.342510 / 0.226044 (0.116466) | 3.354621 / 2.268929 (1.085692) | 1.852472 / 55.444624 (-53.592153) | 1.542567 / 6.876477 (-5.333910) | 1.726756 / 2.142072 (-0.415317) | 0.794567 / 4.805227 (-4.010660) | 0.135279 / 6.500664 (-6.365386) | 0.042591 / 0.075469 (-0.032878) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.968336 / 1.841788 (-0.873452) | 12.334614 / 8.074308 (4.260305) | 9.638775 / 10.191392 (-0.552617) | 0.143625 / 0.680424 (-0.536799) | 0.015475 / 0.534201 (-0.518726) | 0.313357 / 0.579283 (-0.265926) | 0.271257 / 0.434364 (-0.163107) | 0.362074 / 0.540337 (-0.178263) | 0.468595 / 1.386936 (-0.918341) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.006243 / 0.011353 (-0.005110) | 0.004496 / 0.011008 (-0.006512) | 0.051271 / 0.038508 (0.012763) | 0.035718 / 0.023109 (0.012609) | 0.272623 / 0.275898 (-0.003275) | 0.297060 / 0.323480 (-0.026420) | 0.004801 / 0.007986 (-0.003185) | 0.003060 / 0.004328 (-0.001269) | 0.049990 / 0.004250 (0.045740) | 0.042413 / 0.037052 (0.005360) | 0.281268 / 0.258489 (0.022779) | 0.327224 / 0.293841 (0.033383) | 0.033745 / 0.128546 (-0.094801) | 0.012777 / 0.075646 (-0.062869) | 0.061808 / 0.419271 (-0.357464) | 0.034428 / 0.043533 (-0.009105) | 0.272211 / 0.255139 (0.017072) | 0.327260 / 0.283200 (0.044061) | 0.019756 / 0.141683 (-0.121927) | 1.137768 / 1.452155 (-0.314387) | 1.220347 / 1.492716 (-0.272369) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.099737 / 0.018006 (0.081731) | 0.304627 / 0.000490 (0.304137) | 0.000210 / 0.000200 (0.000011) | 0.000052 / 0.000054 (-0.000002) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023177 / 0.037411 (-0.014234) | 0.077505 / 0.014526 (0.062979) | 0.088957 / 0.176557 (-0.087599) | 0.129187 / 0.737135 (-0.607948) | 0.090386 / 0.296338 (-0.205953) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.291558 / 0.215209 (0.076349) | 2.874297 / 2.077655 (0.796642) | 1.562316 / 1.504120 (0.058196) | 1.439950 / 1.541195 (-0.101244) | 1.492316 / 1.468490 (0.023826) | 0.729885 / 4.584777 (-3.854892) | 0.985075 / 3.745712 (-2.760637) | 3.108313 / 5.269862 (-2.161549) | 1.998072 / 4.565676 (-2.567604) | 0.079367 / 0.424275 (-0.344908) | 0.005210 / 0.007607 (-0.002398) | 0.347335 / 0.226044 (0.121290) | 3.519375 / 2.268929 (1.250446) | 1.949395 / 55.444624 (-53.495229) | 1.650379 / 6.876477 (-5.226097) | 1.691606 / 2.142072 (-0.450466) | 0.816023 / 4.805227 (-3.989204) | 0.135318 / 6.500664 (-6.365346) | 0.041390 / 0.075469 (-0.034079) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.018964 / 1.841788 (-0.822823) | 13.120135 / 8.074308 (5.045827) | 10.618095 / 10.191392 (0.426703) | 0.134507 / 0.680424 (-0.545917) | 0.015895 / 0.534201 (-0.518306) | 0.302864 / 0.579283 (-0.276420) | 0.131117 / 0.434364 (-0.303247) | 0.342374 / 0.540337 (-0.197964) | 0.441640 / 1.386936 (-0.945296) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#c5fdb68cd12d069f05a3db8add8e6feab3c06930 \"CML watermark\")\n"
] | 2024-07-03T09:05:03 | 2024-07-03T09:24:46 | 2024-07-03 09:17:35+00:00 | MEMBER | nan | Remove dead code for pyarrow < 15.0.0.
Code is dead since the merge of:
- #6892
Fix #7022. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7023/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7023/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7023', 'html_url': 'https://github.com/huggingface/datasets/pull/7023', 'diff_url': 'https://github.com/huggingface/datasets/pull/7023.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7023.patch', 'merged_at': '2024-07-03T09:17:35Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7022 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7022/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7022/comments | https://api.github.com/repos/huggingface/datasets/issues/7022/events | https://github.com/huggingface/datasets/issues/7022 | 2388064650 | I_kwDODunzps6OVvmK | 7022 | There is dead code after we require pyarrow >= 15.0.0 | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 4296013012, 'node_id': 'LA_kwDODunzps8AAAABAA_01A', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/maintenance', 'name': 'maintenance', 'color': 'd4c5f9', 'default': False, 'description': 'Maintenance tasks'}] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-07-03T08:52:57 | 2024-07-03T09:17:36 | 2024-07-03 09:17:36+00:00 | MEMBER | nan | There are code lines specific for pyarrow versions < 15.0.0.
However, we require pyarrow >= 15.0.0 since the merge of PR:
- #6892
Those code lines are now dead code and should be removed. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7022/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7022/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7021 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7021/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7021/comments | https://api.github.com/repos/huggingface/datasets/issues/7021/events | https://github.com/huggingface/datasets/pull/7021 | 2387948935 | PR_kwDODunzps50SlKR | 7021 | Fix casting list array to fixed size list | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7021). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005126 / 0.011353 (-0.006227) | 0.003417 / 0.011008 (-0.007591) | 0.063274 / 0.038508 (0.024766) | 0.030896 / 0.023109 (0.007787) | 0.246661 / 0.275898 (-0.029237) | 0.275037 / 0.323480 (-0.048443) | 0.003243 / 0.007986 (-0.004742) | 0.003460 / 0.004328 (-0.000868) | 0.049665 / 0.004250 (0.045414) | 0.045826 / 0.037052 (0.008773) | 0.254360 / 0.258489 (-0.004129) | 0.294934 / 0.293841 (0.001094) | 0.029115 / 0.128546 (-0.099431) | 0.011908 / 0.075646 (-0.063738) | 0.207429 / 0.419271 (-0.211842) | 0.036371 / 0.043533 (-0.007162) | 0.249127 / 0.255139 (-0.006012) | 0.273982 / 0.283200 (-0.009218) | 0.019318 / 0.141683 (-0.122365) | 1.108985 / 1.452155 (-0.343169) | 1.147234 / 1.492716 (-0.345482) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.104830 / 0.018006 (0.086824) | 0.313453 / 0.000490 (0.312964) | 0.000213 / 0.000200 (0.000013) | 0.000043 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019140 / 0.037411 (-0.018271) | 0.062160 / 0.014526 (0.047634) | 0.073537 / 0.176557 (-0.103020) | 0.119605 / 0.737135 (-0.617530) | 0.074707 / 0.296338 (-0.221632) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.282600 / 0.215209 (0.067391) | 2.805560 / 2.077655 (0.727906) | 1.471312 / 1.504120 (-0.032808) | 1.360920 / 1.541195 (-0.180275) | 1.361132 / 1.468490 (-0.107358) | 0.714791 / 4.584777 (-3.869986) | 2.405224 / 3.745712 (-1.340488) | 2.814498 / 5.269862 (-2.455363) | 1.896792 / 4.565676 (-2.668884) | 0.078138 / 0.424275 (-0.346137) | 0.005430 / 0.007607 (-0.002177) | 0.345529 / 0.226044 (0.119485) | 3.366205 / 2.268929 (1.097277) | 1.862820 / 55.444624 (-53.581805) | 1.555970 / 6.876477 (-5.320507) | 1.665102 / 2.142072 (-0.476970) | 0.798679 / 4.805227 (-4.006548) | 0.132601 / 6.500664 (-6.368064) | 0.041819 / 0.075469 (-0.033650) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.972545 / 1.841788 (-0.869242) | 11.250626 / 8.074308 (3.176318) | 9.211127 / 10.191392 (-0.980265) | 0.130818 / 0.680424 (-0.549605) | 0.014123 / 0.534201 (-0.520078) | 0.298384 / 0.579283 (-0.280899) | 0.269736 / 0.434364 (-0.164628) | 0.341322 / 0.540337 (-0.199015) | 0.466915 / 1.386936 (-0.920021) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005884 / 0.011353 (-0.005469) | 0.003983 / 0.011008 (-0.007025) | 0.050295 / 0.038508 (0.011787) | 0.033906 / 0.023109 (0.010797) | 0.271364 / 0.275898 (-0.004534) | 0.290652 / 0.323480 (-0.032828) | 0.004503 / 0.007986 (-0.003483) | 0.002946 / 0.004328 (-0.001382) | 0.049336 / 0.004250 (0.045086) | 0.040987 / 0.037052 (0.003935) | 0.283088 / 0.258489 (0.024599) | 0.313132 / 0.293841 (0.019291) | 0.032545 / 0.128546 (-0.096001) | 0.012622 / 0.075646 (-0.063024) | 0.060574 / 0.419271 (-0.358698) | 0.033625 / 0.043533 (-0.009908) | 0.266765 / 0.255139 (0.011626) | 0.286164 / 0.283200 (0.002964) | 0.018840 / 0.141683 (-0.122843) | 1.167874 / 1.452155 (-0.284281) | 1.170767 / 1.492716 (-0.321950) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.102266 / 0.018006 (0.084260) | 0.309530 / 0.000490 (0.309040) | 0.000210 / 0.000200 (0.000010) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023879 / 0.037411 (-0.013533) | 0.076837 / 0.014526 (0.062311) | 0.088718 / 0.176557 (-0.087839) | 0.129422 / 0.737135 (-0.607714) | 0.090051 / 0.296338 (-0.206287) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.287325 / 0.215209 (0.072116) | 2.844051 / 2.077655 (0.766397) | 1.552338 / 1.504120 (0.048218) | 1.422390 / 1.541195 (-0.118804) | 1.458580 / 1.468490 (-0.009910) | 0.712103 / 4.584777 (-3.872674) | 0.935116 / 3.745712 (-2.810596) | 2.891878 / 5.269862 (-2.377984) | 1.884683 / 4.565676 (-2.680994) | 0.077810 / 0.424275 (-0.346465) | 0.005087 / 0.007607 (-0.002520) | 0.337981 / 0.226044 (0.111937) | 3.346176 / 2.268929 (1.077248) | 1.892525 / 55.444624 (-53.552100) | 1.595472 / 6.876477 (-5.281004) | 1.595617 / 2.142072 (-0.546455) | 0.779581 / 4.805227 (-4.025647) | 0.131042 / 6.500664 (-6.369623) | 0.040665 / 0.075469 (-0.034804) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.063560 / 1.841788 (-0.778227) | 12.030321 / 8.074308 (3.956013) | 10.213963 / 10.191392 (0.022571) | 0.142954 / 0.680424 (-0.537470) | 0.015700 / 0.534201 (-0.518501) | 0.311536 / 0.579283 (-0.267747) | 0.127064 / 0.434364 (-0.307300) | 0.351636 / 0.540337 (-0.188702) | 0.442281 / 1.386936 (-0.944655) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#9ccc1f3d533712baf15cb7a93182add3e5446165 \"CML watermark\")\n"
] | 2024-07-03T07:58:57 | 2024-07-03T08:47:49 | 2024-07-03 08:41:55+00:00 | MEMBER | nan | Fix casting list array to fixed size list.
This bug was introduced in [datasets-2.17.0](https://github.com/huggingface/datasets/releases/tag/2.17.0) by PR: https://github.com/huggingface/datasets/pull/6283/files#diff-1cb2b66aa9311d729cfd83013dad56cf5afcda35b39dfd0bfe9c3813a049eab0R1899
- #6283
Fix #7020. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7021/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7021/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7021', 'html_url': 'https://github.com/huggingface/datasets/pull/7021', 'diff_url': 'https://github.com/huggingface/datasets/pull/7021.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7021.patch', 'merged_at': '2024-07-03T08:41:55Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7020 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7020/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7020/comments | https://api.github.com/repos/huggingface/datasets/issues/7020/events | https://github.com/huggingface/datasets/issues/7020 | 2387940990 | I_kwDODunzps6OVRZ- | 7020 | Casting list array to fixed size list raises error | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892857, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODU3', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/bug', 'name': 'bug', 'color': 'd73a4a', 'default': True, 'description': "Something isn't working"}] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-07-03T07:54:49 | 2024-07-03T08:41:56 | 2024-07-03 08:41:56+00:00 | MEMBER | nan | When trying to cast a list array to fixed size list, an AttributeError is raised:
> AttributeError: 'pyarrow.lib.FixedSizeListType' object has no attribute 'length'
Steps to reproduce the bug:
```python
import pyarrow as pa
from datasets.table import array_cast
arr = pa.array([[0, 1]])
array_cast(arr, pa.list_(pa.int64(), 2))
```
Stack trace:
```
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-12-6cb90a1d8216> in <module>
3
4 arr = pa.array([[0, 1]])
----> 5 array_cast(arr, pa.list_(pa.int64(), 2))
~/huggingface/datasets/src/datasets/table.py in wrapper(array, *args, **kwargs)
1802 return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
1803 else:
-> 1804 return func(array, *args, **kwargs)
1805
1806 return wrapper
~/huggingface/datasets/src/datasets/table.py in array_cast(array, pa_type, allow_primitive_to_str, allow_decimal_to_str)
1920 else:
1921 array_values = array.values[
-> 1922 array.offset * pa_type.length : (array.offset + len(array)) * pa_type.length
1923 ]
1924 return pa.FixedSizeListArray.from_arrays(_c(array_values, pa_type.value_type), pa_type.list_size)
AttributeError: 'pyarrow.lib.FixedSizeListType' object has no attribute 'length'
``` | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7020/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7020/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7019 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7019/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7019/comments | https://api.github.com/repos/huggingface/datasets/issues/7019/events | https://github.com/huggingface/datasets/pull/7019 | 2385793897 | PR_kwDODunzps50LMjW | 7019 | Allow Polars round trip by supporting pyarrow large list | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7019). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-07-02T09:52:52 | 2024-07-08T15:33:31 | NaT | MEMBER | nan | Allow Polars round trip by supporting pyarrow large list.
Fix #6834, fix #6984.
Supersede and close #4800, close #6835, close #6986. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7019/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7019/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7019', 'html_url': 'https://github.com/huggingface/datasets/pull/7019', 'diff_url': 'https://github.com/huggingface/datasets/pull/7019.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7019.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/7018 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7018/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7018/comments | https://api.github.com/repos/huggingface/datasets/issues/7018/events | https://github.com/huggingface/datasets/issues/7018 | 2383700286 | I_kwDODunzps6OFGE- | 7018 | `load_dataset` fails to load dataset saved by `save_to_disk` | {'login': 'sliedes', 'id': 2307997, 'node_id': 'MDQ6VXNlcjIzMDc5OTc=', 'avatar_url': 'https://avatars.githubusercontent.com/u/2307997?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/sliedes', 'html_url': 'https://github.com/sliedes', 'followers_url': 'https://api.github.com/users/sliedes/followers', 'following_url': 'https://api.github.com/users/sliedes/following{/other_user}', 'gists_url': 'https://api.github.com/users/sliedes/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/sliedes/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/sliedes/subscriptions', 'organizations_url': 'https://api.github.com/users/sliedes/orgs', 'repos_url': 'https://api.github.com/users/sliedes/repos', 'events_url': 'https://api.github.com/users/sliedes/events{/privacy}', 'received_events_url': 'https://api.github.com/users/sliedes/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [] | 2024-07-01T12:19:19 | 2024-07-01T12:19:19 | NaT | NONE | nan | ### Describe the bug
This code fails to load the dataset it just saved:
```python
from datasets import load_dataset
from transformers import AutoTokenizer
MODEL = "google-bert/bert-base-cased"
tokenizer = AutoTokenizer.from_pretrained(MODEL)
dataset = load_dataset("yelp_review_full")
def tokenize_function(examples):
return tokenizer(examples["text"], padding="max_length", truncation=True)
tokenized_datasets = dataset.map(tokenize_function, batched=True)
tokenized_datasets.save_to_disk("dataset")
tokenized_datasets = load_dataset("dataset/") # raises
```
It raises `ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): ('arrow', {}), NamedSplit('test'): ('json', {})}`.
I believe this bug is caused by the [logic that tries to infer dataset format](https://github.com/huggingface/datasets/blob/9af8dd3de7626183a9a9ec8973cebc672d690400/src/datasets/load.py#L556). It counts the most common file extension. However, a small dataset can fit in a single `.arrow` file and have two JSON metadata files, causing the format to be inferred as JSON:
```shell
$ ls -l dataset/test
-rw-r--r-- 1 sliedes sliedes 191498784 Jul 1 13:55 data-00000-of-00001.arrow
-rw-r--r-- 1 sliedes sliedes 1730 Jul 1 13:55 dataset_info.json
-rw-r--r-- 1 sliedes sliedes 249 Jul 1 13:55 state.json
```
### Steps to reproduce the bug
Execute the code above.
### Expected behavior
The dataset is loaded successfully.
### Environment info
- `datasets` version: 2.20.0
- Platform: Linux-6.9.3-arch1-1-x86_64-with-glibc2.39
- Python version: 3.12.4
- `huggingface_hub` version: 0.23.4
- PyArrow version: 16.1.0
- Pandas version: 2.2.2
- `fsspec` version: 2024.5.0
| {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7018/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7018/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7017 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7017/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7017/comments | https://api.github.com/repos/huggingface/datasets/issues/7017/events | https://github.com/huggingface/datasets/pull/7017 | 2383647419 | PR_kwDODunzps50D3gi | 7017 | Support fsspec 2024.6.1 | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7017). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005520 / 0.011353 (-0.005832) | 0.004216 / 0.011008 (-0.006792) | 0.063465 / 0.038508 (0.024957) | 0.032116 / 0.023109 (0.009007) | 0.242486 / 0.275898 (-0.033412) | 0.262554 / 0.323480 (-0.060925) | 0.004218 / 0.007986 (-0.003768) | 0.003264 / 0.004328 (-0.001064) | 0.050306 / 0.004250 (0.046056) | 0.044995 / 0.037052 (0.007942) | 0.257797 / 0.258489 (-0.000693) | 0.284595 / 0.293841 (-0.009246) | 0.030623 / 0.128546 (-0.097924) | 0.012245 / 0.075646 (-0.063401) | 0.205496 / 0.419271 (-0.213775) | 0.039327 / 0.043533 (-0.004206) | 0.246834 / 0.255139 (-0.008305) | 0.269296 / 0.283200 (-0.013903) | 0.017714 / 0.141683 (-0.123969) | 1.127246 / 1.452155 (-0.324909) | 1.172147 / 1.492716 (-0.320569) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.137621 / 0.018006 (0.119615) | 0.299843 / 0.000490 (0.299353) | 0.000248 / 0.000200 (0.000048) | 0.000051 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018968 / 0.037411 (-0.018443) | 0.062636 / 0.014526 (0.048111) | 0.074098 / 0.176557 (-0.102459) | 0.121139 / 0.737135 (-0.615996) | 0.075121 / 0.296338 (-0.221217) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.289907 / 0.215209 (0.074698) | 2.872250 / 2.077655 (0.794595) | 1.508635 / 1.504120 (0.004515) | 1.345356 / 1.541195 (-0.195839) | 1.361858 / 1.468490 (-0.106632) | 0.738961 / 4.584777 (-3.845816) | 2.414616 / 3.745712 (-1.331097) | 2.843464 / 5.269862 (-2.426398) | 1.953716 / 4.565676 (-2.611961) | 0.079063 / 0.424275 (-0.345212) | 0.005498 / 0.007607 (-0.002109) | 0.346211 / 0.226044 (0.120166) | 3.446294 / 2.268929 (1.177366) | 1.857191 / 55.444624 (-53.587433) | 1.536924 / 6.876477 (-5.339553) | 1.655782 / 2.142072 (-0.486290) | 0.800508 / 4.805227 (-4.004719) | 0.136116 / 6.500664 (-6.364548) | 0.042648 / 0.075469 (-0.032821) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.964286 / 1.841788 (-0.877501) | 11.574645 / 8.074308 (3.500336) | 9.351631 / 10.191392 (-0.839761) | 0.139693 / 0.680424 (-0.540731) | 0.014368 / 0.534201 (-0.519833) | 0.303953 / 0.579283 (-0.275330) | 0.263302 / 0.434364 (-0.171062) | 0.342436 / 0.540337 (-0.197901) | 0.457195 / 1.386936 (-0.929741) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005526 / 0.011353 (-0.005827) | 0.003959 / 0.011008 (-0.007050) | 0.049979 / 0.038508 (0.011471) | 0.032695 / 0.023109 (0.009586) | 0.269461 / 0.275898 (-0.006437) | 0.296622 / 0.323480 (-0.026858) | 0.004410 / 0.007986 (-0.003576) | 0.002708 / 0.004328 (-0.001621) | 0.048413 / 0.004250 (0.044163) | 0.040567 / 0.037052 (0.003515) | 0.278854 / 0.258489 (0.020364) | 0.318839 / 0.293841 (0.024998) | 0.031228 / 0.128546 (-0.097318) | 0.012411 / 0.075646 (-0.063236) | 0.060077 / 0.419271 (-0.359194) | 0.033072 / 0.043533 (-0.010461) | 0.275281 / 0.255139 (0.020142) | 0.292588 / 0.283200 (0.009388) | 0.018218 / 0.141683 (-0.123465) | 1.124877 / 1.452155 (-0.327278) | 1.164880 / 1.492716 (-0.327836) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095098 / 0.018006 (0.077092) | 0.298341 / 0.000490 (0.297851) | 0.000225 / 0.000200 (0.000025) | 0.000049 / 0.000054 (-0.000005) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022502 / 0.037411 (-0.014909) | 0.076650 / 0.014526 (0.062124) | 0.088851 / 0.176557 (-0.087705) | 0.128261 / 0.737135 (-0.608875) | 0.089305 / 0.296338 (-0.207033) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.298704 / 0.215209 (0.083495) | 2.917605 / 2.077655 (0.839951) | 1.568964 / 1.504120 (0.064844) | 1.437668 / 1.541195 (-0.103527) | 1.458787 / 1.468490 (-0.009704) | 0.732347 / 4.584777 (-3.852430) | 0.960834 / 3.745712 (-2.784878) | 2.947899 / 5.269862 (-2.321963) | 1.885576 / 4.565676 (-2.680100) | 0.079093 / 0.424275 (-0.345182) | 0.005199 / 0.007607 (-0.002408) | 0.353754 / 0.226044 (0.127710) | 3.495197 / 2.268929 (1.226268) | 1.936840 / 55.444624 (-53.507785) | 1.622797 / 6.876477 (-5.253680) | 1.627132 / 2.142072 (-0.514940) | 0.804007 / 4.805227 (-4.001221) | 0.135990 / 6.500664 (-6.364674) | 0.041606 / 0.075469 (-0.033863) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.004860 / 1.841788 (-0.836928) | 12.027573 / 8.074308 (3.953265) | 10.478055 / 10.191392 (0.286663) | 0.143946 / 0.680424 (-0.536477) | 0.015538 / 0.534201 (-0.518663) | 0.302592 / 0.579283 (-0.276691) | 0.123177 / 0.434364 (-0.311187) | 0.340752 / 0.540337 (-0.199585) | 0.436536 / 1.386936 (-0.950400) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#100361d7ccae451a34c6bd9e48dee55d6a3c6006 \"CML watermark\")\n"
] | 2024-07-01T11:57:15 | 2024-07-01T12:12:32 | 2024-07-01 12:06:24+00:00 | MEMBER | nan | Support fsspec 2024.6.1. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7017/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7017/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7017', 'html_url': 'https://github.com/huggingface/datasets/pull/7017', 'diff_url': 'https://github.com/huggingface/datasets/pull/7017.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7017.patch', 'merged_at': '2024-07-01T12:06:24Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7016 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7016/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7016/comments | https://api.github.com/repos/huggingface/datasets/issues/7016/events | https://github.com/huggingface/datasets/issues/7016 | 2383262608 | I_kwDODunzps6ODbOQ | 7016 | `drop_duplicates` method | {'login': 'MohamedAliRashad', 'id': 26205298, 'node_id': 'MDQ6VXNlcjI2MjA1Mjk4', 'avatar_url': 'https://avatars.githubusercontent.com/u/26205298?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/MohamedAliRashad', 'html_url': 'https://github.com/MohamedAliRashad', 'followers_url': 'https://api.github.com/users/MohamedAliRashad/followers', 'following_url': 'https://api.github.com/users/MohamedAliRashad/following{/other_user}', 'gists_url': 'https://api.github.com/users/MohamedAliRashad/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/MohamedAliRashad/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/MohamedAliRashad/subscriptions', 'organizations_url': 'https://api.github.com/users/MohamedAliRashad/orgs', 'repos_url': 'https://api.github.com/users/MohamedAliRashad/repos', 'events_url': 'https://api.github.com/users/MohamedAliRashad/events{/privacy}', 'received_events_url': 'https://api.github.com/users/MohamedAliRashad/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892871, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement', 'name': 'enhancement', 'color': 'a2eeef', 'default': True, 'description': 'New feature or request'}] | open | False | None | [] | None | [
"There is an open issue #2514 about this which also proposes solutions."
] | 2024-07-01T09:01:06 | 2024-07-02T13:54:48 | NaT | NONE | nan | ### Feature request
`drop_duplicates` method for huggingface datasets (similiar in simplicity to the `pandas` one)
### Motivation
Ease of use
### Your contribution
I don't think i am good enough to help | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7016/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7016/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7015 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7015/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7015/comments | https://api.github.com/repos/huggingface/datasets/issues/7015/events | https://github.com/huggingface/datasets/pull/7015 | 2383151220 | PR_kwDODunzps50CJuE | 7015 | add split argument to Generator | {'login': 'piercus', 'id': 156736, 'node_id': 'MDQ6VXNlcjE1NjczNg==', 'avatar_url': 'https://avatars.githubusercontent.com/u/156736?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/piercus', 'html_url': 'https://github.com/piercus', 'followers_url': 'https://api.github.com/users/piercus/followers', 'following_url': 'https://api.github.com/users/piercus/following{/other_user}', 'gists_url': 'https://api.github.com/users/piercus/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/piercus/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/piercus/subscriptions', 'organizations_url': 'https://api.github.com/users/piercus/orgs', 'repos_url': 'https://api.github.com/users/piercus/repos', 'events_url': 'https://api.github.com/users/piercus/events{/privacy}', 'received_events_url': 'https://api.github.com/users/piercus/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7015). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@albertvillanova thanks for the review, please take a look",
"@albertvillanova please take a look"
] | 2024-07-01T08:09:25 | 2024-07-11T08:20:16 | NaT | NONE | nan | ## Actual
When creating a multi-split dataset using generators like
```python
datasets.DatasetDict({
"val": datasets.Dataset.from_generator(
generator=generator_val,
features=features
),
"test": datasets.Dataset.from_generator(
generator=generator_test,
features=features,
)
})
```
It displays (for both test and val)
```
Generating train split
```
## Expected
I would like to be able to improve this behavior by doing
```python
datasets.DatasetDict({
"val": datasets.Dataset.from_generator(
generator=generator_val,
features=features,
split="val"
),
"test": datasets.Dataset.from_generator(
generator=generator_test,
features=features,
split="test"
)
})
```
It would display
```
Generating val split
```
and
```
Generating test split
```
## Proposal
Current PR is adding an explicit `split` argument and replace the implicit "train" split in the following classes/function :
* Generator
* from_generator
* AbstractDatasetInputStream
* GeneratorDatasetInputStream
Please share your feedbacks | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7015/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7015/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7015', 'html_url': 'https://github.com/huggingface/datasets/pull/7015', 'diff_url': 'https://github.com/huggingface/datasets/pull/7015.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7015.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/7014 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7014/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7014/comments | https://api.github.com/repos/huggingface/datasets/issues/7014/events | https://github.com/huggingface/datasets/pull/7014 | 2382985847 | PR_kwDODunzps50BlwV | 7014 | Skip faiss tests on Windows to avoid running CI for 360 minutes | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7014). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"The failing CI tests are unrelated to this PR.\r\n\r\nWe can see that now the integration tests on Windows finish in a reasonable amount of time, e.g. 8m 10s.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005219 / 0.011353 (-0.006134) | 0.003825 / 0.011008 (-0.007183) | 0.063082 / 0.038508 (0.024574) | 0.031258 / 0.023109 (0.008149) | 0.232288 / 0.275898 (-0.043610) | 0.261140 / 0.323480 (-0.062340) | 0.003185 / 0.007986 (-0.004801) | 0.002807 / 0.004328 (-0.001522) | 0.049438 / 0.004250 (0.045188) | 0.045112 / 0.037052 (0.008059) | 0.245327 / 0.258489 (-0.013162) | 0.277941 / 0.293841 (-0.015900) | 0.029190 / 0.128546 (-0.099357) | 0.012071 / 0.075646 (-0.063575) | 0.204351 / 0.419271 (-0.214921) | 0.036546 / 0.043533 (-0.006987) | 0.235999 / 0.255139 (-0.019140) | 0.269069 / 0.283200 (-0.014131) | 0.019047 / 0.141683 (-0.122636) | 1.117213 / 1.452155 (-0.334941) | 1.202807 / 1.492716 (-0.289909) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096680 / 0.018006 (0.078674) | 0.304513 / 0.000490 (0.304023) | 0.000211 / 0.000200 (0.000011) | 0.000070 / 0.000054 (0.000016) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019526 / 0.037411 (-0.017885) | 0.062239 / 0.014526 (0.047713) | 0.073988 / 0.176557 (-0.102569) | 0.122156 / 0.737135 (-0.614980) | 0.075727 / 0.296338 (-0.220611) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.284125 / 0.215209 (0.068916) | 2.804235 / 2.077655 (0.726581) | 1.463729 / 1.504120 (-0.040390) | 1.337854 / 1.541195 (-0.203341) | 1.340435 / 1.468490 (-0.128055) | 0.711647 / 4.584777 (-3.873130) | 2.365194 / 3.745712 (-1.380518) | 2.839193 / 5.269862 (-2.430669) | 1.909730 / 4.565676 (-2.655947) | 0.077399 / 0.424275 (-0.346876) | 0.005432 / 0.007607 (-0.002175) | 0.332281 / 0.226044 (0.106236) | 3.301854 / 2.268929 (1.032925) | 1.836672 / 55.444624 (-53.607952) | 1.511144 / 6.876477 (-5.365333) | 1.624167 / 2.142072 (-0.517905) | 0.803453 / 4.805227 (-4.001775) | 0.132760 / 6.500664 (-6.367904) | 0.042323 / 0.075469 (-0.033146) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.951576 / 1.841788 (-0.890212) | 11.476809 / 8.074308 (3.402501) | 9.208285 / 10.191392 (-0.983107) | 0.131797 / 0.680424 (-0.548626) | 0.014362 / 0.534201 (-0.519839) | 0.316051 / 0.579283 (-0.263232) | 0.269250 / 0.434364 (-0.165114) | 0.366949 / 0.540337 (-0.173388) | 0.471047 / 1.386936 (-0.915889) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005905 / 0.011353 (-0.005448) | 0.003892 / 0.011008 (-0.007116) | 0.050513 / 0.038508 (0.012005) | 0.030903 / 0.023109 (0.007794) | 0.268835 / 0.275898 (-0.007063) | 0.288825 / 0.323480 (-0.034655) | 0.004372 / 0.007986 (-0.003614) | 0.002805 / 0.004328 (-0.001523) | 0.048497 / 0.004250 (0.044246) | 0.040665 / 0.037052 (0.003613) | 0.279842 / 0.258489 (0.021352) | 0.310715 / 0.293841 (0.016874) | 0.032133 / 0.128546 (-0.096413) | 0.012288 / 0.075646 (-0.063358) | 0.059719 / 0.419271 (-0.359552) | 0.033825 / 0.043533 (-0.009708) | 0.264670 / 0.255139 (0.009531) | 0.283799 / 0.283200 (0.000599) | 0.017968 / 0.141683 (-0.123715) | 1.160578 / 1.452155 (-0.291577) | 1.198602 / 1.492716 (-0.294115) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094388 / 0.018006 (0.076382) | 0.301861 / 0.000490 (0.301371) | 0.000212 / 0.000200 (0.000012) | 0.000045 / 0.000054 (-0.000009) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022901 / 0.037411 (-0.014510) | 0.076816 / 0.014526 (0.062290) | 0.089203 / 0.176557 (-0.087354) | 0.129040 / 0.737135 (-0.608096) | 0.090758 / 0.296338 (-0.205580) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.301191 / 0.215209 (0.085982) | 2.962887 / 2.077655 (0.885232) | 1.607134 / 1.504120 (0.103014) | 1.477817 / 1.541195 (-0.063377) | 1.485984 / 1.468490 (0.017494) | 0.717358 / 4.584777 (-3.867419) | 0.976018 / 3.745712 (-2.769694) | 2.951509 / 5.269862 (-2.318352) | 1.910619 / 4.565676 (-2.655057) | 0.078579 / 0.424275 (-0.345697) | 0.005209 / 0.007607 (-0.002398) | 0.345287 / 0.226044 (0.119243) | 3.487012 / 2.268929 (1.218084) | 1.938104 / 55.444624 (-53.506521) | 1.639341 / 6.876477 (-5.237136) | 1.617874 / 2.142072 (-0.524198) | 0.793721 / 4.805227 (-4.011506) | 0.136834 / 6.500664 (-6.363830) | 0.041211 / 0.075469 (-0.034258) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.988106 / 1.841788 (-0.853682) | 12.035176 / 8.074308 (3.960868) | 10.594559 / 10.191392 (0.403167) | 0.149917 / 0.680424 (-0.530507) | 0.015913 / 0.534201 (-0.518288) | 0.307658 / 0.579283 (-0.271625) | 0.130645 / 0.434364 (-0.303719) | 0.348450 / 0.540337 (-0.191887) | 0.443559 / 1.386936 (-0.943377) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#9af8dd3de7626183a9a9ec8973cebc672d690400 \"CML watermark\")\n"
] | 2024-07-01T06:45:35 | 2024-07-01T07:16:36 | 2024-07-01 07:10:27+00:00 | MEMBER | nan | Skip faiss tests on Windows to avoid running CI for 360 minutes.
Fix #7013.
Revert once the underlying issue is fixed. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7014/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7014/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7014', 'html_url': 'https://github.com/huggingface/datasets/pull/7014', 'diff_url': 'https://github.com/huggingface/datasets/pull/7014.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7014.patch', 'merged_at': '2024-07-01T07:10:27Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7013 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7013/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7013/comments | https://api.github.com/repos/huggingface/datasets/issues/7013/events | https://github.com/huggingface/datasets/issues/7013 | 2382976738 | I_kwDODunzps6OCVbi | 7013 | CI is broken for faiss tests on Windows: node down: Not properly terminated | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 4296013012, 'node_id': 'LA_kwDODunzps8AAAABAA_01A', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/maintenance', 'name': 'maintenance', 'color': 'd4c5f9', 'default': False, 'description': 'Maintenance tasks'}] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-07-01T06:40:03 | 2024-07-01T07:10:28 | 2024-07-01 07:10:28+00:00 | MEMBER | nan | Faiss tests on Windows make the CI run indefinitely until maximum execution time (360 minutes) is reached.
See: https://github.com/huggingface/datasets/actions/runs/9712659783
```
test (integration, windows-latest, deps-minimum)
The job running on runner GitHub Actions 60 has exceeded the maximum execution time of 360 minutes.
test (integration, windows-latest, deps-latest)
The job running on runner GitHub Actions 238 has exceeded the maximum execution time of 360 minutes.
```
```
____________________________ tests/test_search.py _____________________________
[gw1] win32 -- Python 3.8.10 C:\hostedtoolcache\windows\Python\3.8.10\x64\python.exe
worker 'gw1' crashed while running 'tests/test_search.py::IndexableDatasetTest::test_add_faiss_index'
____________________________ tests/test_search.py _____________________________
[gw2] win32 -- Python 3.8.10 C:\hostedtoolcache\windows\Python\3.8.10\x64\python.exe
worker 'gw2' crashed while running 'tests/test_search.py::IndexableDatasetTest::test_add_faiss_index'
```
```
tests/test_search.py::IndexableDatasetTest::test_add_faiss_index
[gw0] node down: Not properly terminated
[gw0] FAILED tests/test_search.py::IndexableDatasetTest::test_add_faiss_index
replacing crashed worker gw0
tests/test_search.py::IndexableDatasetTest::test_add_faiss_index
[gw1] node down: Not properly terminated
[gw1] FAILED tests/test_search.py::IndexableDatasetTest::test_add_faiss_index
replacing crashed worker gw1
tests/test_search.py::IndexableDatasetTest::test_add_faiss_index
[gw2] node down: Not properly terminated
[gw2] FAILED tests/test_search.py::IndexableDatasetTest::test_add_faiss_index
replacing crashed worker gw2
``` | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7013/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7013/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7012 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7012/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7012/comments | https://api.github.com/repos/huggingface/datasets/issues/7012/events | https://github.com/huggingface/datasets/pull/7012 | 2380934047 | PR_kwDODunzps5z61A3 | 7012 | Raise an error when a nested object is expected to be a mapping that displays the object | {'login': 'sebbyjp', 'id': 22511797, 'node_id': 'MDQ6VXNlcjIyNTExNzk3', 'avatar_url': 'https://avatars.githubusercontent.com/u/22511797?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/sebbyjp', 'html_url': 'https://github.com/sebbyjp', 'followers_url': 'https://api.github.com/users/sebbyjp/followers', 'following_url': 'https://api.github.com/users/sebbyjp/following{/other_user}', 'gists_url': 'https://api.github.com/users/sebbyjp/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/sebbyjp/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/sebbyjp/subscriptions', 'organizations_url': 'https://api.github.com/users/sebbyjp/orgs', 'repos_url': 'https://api.github.com/users/sebbyjp/repos', 'events_url': 'https://api.github.com/users/sebbyjp/events{/privacy}', 'received_events_url': 'https://api.github.com/users/sebbyjp/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [] | 2024-06-28T18:10:59 | 2024-07-11T02:06:16 | 2024-07-11 02:06:16+00:00 | NONE | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7012/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7012/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7012', 'html_url': 'https://github.com/huggingface/datasets/pull/7012', 'diff_url': 'https://github.com/huggingface/datasets/pull/7012.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7012.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/7011 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7011/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7011/comments | https://api.github.com/repos/huggingface/datasets/issues/7011/events | https://github.com/huggingface/datasets/pull/7011 | 2379785262 | PR_kwDODunzps5z27Fs | 7011 | Re-enable raising error from huggingface-hub FutureWarning in CI | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7011). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005589 / 0.011353 (-0.005764) | 0.003855 / 0.011008 (-0.007153) | 0.063445 / 0.038508 (0.024937) | 0.030815 / 0.023109 (0.007706) | 0.244052 / 0.275898 (-0.031846) | 0.269916 / 0.323480 (-0.053563) | 0.003130 / 0.007986 (-0.004856) | 0.003349 / 0.004328 (-0.000980) | 0.049338 / 0.004250 (0.045088) | 0.045314 / 0.037052 (0.008261) | 0.250646 / 0.258489 (-0.007844) | 0.295828 / 0.293841 (0.001987) | 0.029808 / 0.128546 (-0.098738) | 0.012299 / 0.075646 (-0.063347) | 0.204946 / 0.419271 (-0.214325) | 0.036387 / 0.043533 (-0.007146) | 0.244316 / 0.255139 (-0.010823) | 0.269308 / 0.283200 (-0.013892) | 0.019226 / 0.141683 (-0.122457) | 1.138739 / 1.452155 (-0.313416) | 1.155265 / 1.492716 (-0.337451) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094085 / 0.018006 (0.076078) | 0.299764 / 0.000490 (0.299275) | 0.000205 / 0.000200 (0.000005) | 0.000052 / 0.000054 (-0.000003) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018361 / 0.037411 (-0.019050) | 0.062665 / 0.014526 (0.048139) | 0.075888 / 0.176557 (-0.100668) | 0.120915 / 0.737135 (-0.616221) | 0.075465 / 0.296338 (-0.220873) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.279698 / 0.215209 (0.064489) | 2.784544 / 2.077655 (0.706889) | 1.498441 / 1.504120 (-0.005679) | 1.379789 / 1.541195 (-0.161406) | 1.388480 / 1.468490 (-0.080011) | 0.724249 / 4.584777 (-3.860528) | 2.343139 / 3.745712 (-1.402573) | 2.816179 / 5.269862 (-2.453683) | 1.908737 / 4.565676 (-2.656940) | 0.077686 / 0.424275 (-0.346589) | 0.005444 / 0.007607 (-0.002163) | 0.344084 / 0.226044 (0.118039) | 3.367548 / 2.268929 (1.098619) | 1.849200 / 55.444624 (-53.595424) | 1.556390 / 6.876477 (-5.320087) | 1.672902 / 2.142072 (-0.469170) | 0.795457 / 4.805227 (-4.009770) | 0.133521 / 6.500664 (-6.367143) | 0.042883 / 0.075469 (-0.032586) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.959094 / 1.841788 (-0.882694) | 11.399783 / 8.074308 (3.325475) | 9.075784 / 10.191392 (-1.115608) | 0.142897 / 0.680424 (-0.537527) | 0.014765 / 0.534201 (-0.519436) | 0.302259 / 0.579283 (-0.277024) | 0.261148 / 0.434364 (-0.173216) | 0.340302 / 0.540337 (-0.200035) | 0.459203 / 1.386936 (-0.927733) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005821 / 0.011353 (-0.005532) | 0.003964 / 0.011008 (-0.007044) | 0.049904 / 0.038508 (0.011396) | 0.031061 / 0.023109 (0.007952) | 0.270002 / 0.275898 (-0.005896) | 0.289489 / 0.323480 (-0.033991) | 0.004477 / 0.007986 (-0.003509) | 0.002800 / 0.004328 (-0.001528) | 0.048029 / 0.004250 (0.043779) | 0.040486 / 0.037052 (0.003434) | 0.278442 / 0.258489 (0.019953) | 0.312606 / 0.293841 (0.018765) | 0.032920 / 0.128546 (-0.095626) | 0.012572 / 0.075646 (-0.063075) | 0.060589 / 0.419271 (-0.358682) | 0.034147 / 0.043533 (-0.009386) | 0.275282 / 0.255139 (0.020143) | 0.314073 / 0.283200 (0.030873) | 0.017555 / 0.141683 (-0.124128) | 1.149974 / 1.452155 (-0.302181) | 1.183715 / 1.492716 (-0.309002) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095616 / 0.018006 (0.077610) | 0.302101 / 0.000490 (0.301611) | 0.000201 / 0.000200 (0.000001) | 0.000051 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022245 / 0.037411 (-0.015166) | 0.076890 / 0.014526 (0.062364) | 0.088471 / 0.176557 (-0.088085) | 0.128364 / 0.737135 (-0.608771) | 0.089907 / 0.296338 (-0.206431) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.302662 / 0.215209 (0.087453) | 2.979054 / 2.077655 (0.901399) | 1.576534 / 1.504120 (0.072414) | 1.443784 / 1.541195 (-0.097410) | 1.476000 / 1.468490 (0.007510) | 0.740580 / 4.584777 (-3.844197) | 0.953349 / 3.745712 (-2.792363) | 2.925619 / 5.269862 (-2.344243) | 1.904701 / 4.565676 (-2.660975) | 0.078404 / 0.424275 (-0.345872) | 0.005179 / 0.007607 (-0.002429) | 0.357217 / 0.226044 (0.131173) | 3.494812 / 2.268929 (1.225884) | 1.927345 / 55.444624 (-53.517280) | 1.627162 / 6.876477 (-5.249315) | 1.676748 / 2.142072 (-0.465324) | 0.798826 / 4.805227 (-4.006401) | 0.133617 / 6.500664 (-6.367047) | 0.041229 / 0.075469 (-0.034240) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.017046 / 1.841788 (-0.824742) | 12.045942 / 8.074308 (3.971634) | 10.430383 / 10.191392 (0.238991) | 0.144497 / 0.680424 (-0.535926) | 0.015809 / 0.534201 (-0.518392) | 0.304701 / 0.579283 (-0.274582) | 0.126496 / 0.434364 (-0.307868) | 0.340308 / 0.540337 (-0.200030) | 0.434917 / 1.386936 (-0.952019) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#054e57a8468af9fff5b75c08d2d6adf3e05fa763 \"CML watermark\")\n"
] | 2024-06-28T07:28:32 | 2024-06-28T12:25:25 | 2024-06-28 12:19:28+00:00 | MEMBER | nan | Re-enable raising error from huggingface-hub FutureWarning in tests, once that the fix in transformers
- https://github.com/huggingface/transformers/pull/31007
was just released yesterday in transformers-4.42.0: https://github.com/huggingface/transformers/releases/tag/v4.42.0
Fix #7010. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7011/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7011/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7011', 'html_url': 'https://github.com/huggingface/datasets/pull/7011', 'diff_url': 'https://github.com/huggingface/datasets/pull/7011.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7011.patch', 'merged_at': '2024-06-28T12:19:28Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7010 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7010/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7010/comments | https://api.github.com/repos/huggingface/datasets/issues/7010/events | https://github.com/huggingface/datasets/issues/7010 | 2379777480 | I_kwDODunzps6N2IXI | 7010 | Re-enable raising error from huggingface-hub FutureWarning in CI | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 4296013012, 'node_id': 'LA_kwDODunzps8AAAABAA_01A', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/maintenance', 'name': 'maintenance', 'color': 'd4c5f9', 'default': False, 'description': 'Maintenance tasks'}] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-06-28T07:23:40 | 2024-06-28T12:19:30 | 2024-06-28 12:19:29+00:00 | MEMBER | nan | Re-enable raising error from huggingface-hub FutureWarning in CI, which was disabled by PR:
- #6876
Note that this can only be done once transformers releases the fix:
- https://github.com/huggingface/transformers/pull/31007 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7010/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7010/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7009 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7009/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7009/comments | https://api.github.com/repos/huggingface/datasets/issues/7009/events | https://github.com/huggingface/datasets/pull/7009 | 2379619132 | PR_kwDODunzps5z2Xe6 | 7009 | Support ruff 0.5.0 in CI | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7009). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005481 / 0.011353 (-0.005872) | 0.003580 / 0.011008 (-0.007428) | 0.062682 / 0.038508 (0.024174) | 0.031125 / 0.023109 (0.008015) | 0.239443 / 0.275898 (-0.036455) | 0.262950 / 0.323480 (-0.060529) | 0.003129 / 0.007986 (-0.004857) | 0.003393 / 0.004328 (-0.000935) | 0.048765 / 0.004250 (0.044514) | 0.044363 / 0.037052 (0.007311) | 0.248632 / 0.258489 (-0.009857) | 0.285056 / 0.293841 (-0.008785) | 0.029674 / 0.128546 (-0.098872) | 0.011963 / 0.075646 (-0.063684) | 0.204122 / 0.419271 (-0.215150) | 0.035867 / 0.043533 (-0.007665) | 0.245422 / 0.255139 (-0.009717) | 0.267165 / 0.283200 (-0.016035) | 0.018556 / 0.141683 (-0.123127) | 1.132112 / 1.452155 (-0.320043) | 1.173512 / 1.492716 (-0.319204) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092749 / 0.018006 (0.074743) | 0.298946 / 0.000490 (0.298457) | 0.000211 / 0.000200 (0.000011) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019496 / 0.037411 (-0.017915) | 0.062209 / 0.014526 (0.047683) | 0.074656 / 0.176557 (-0.101901) | 0.121238 / 0.737135 (-0.615897) | 0.075810 / 0.296338 (-0.220528) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.278089 / 0.215209 (0.062880) | 2.725602 / 2.077655 (0.647948) | 1.413346 / 1.504120 (-0.090774) | 1.290352 / 1.541195 (-0.250843) | 1.306732 / 1.468490 (-0.161758) | 0.713945 / 4.584777 (-3.870832) | 2.380131 / 3.745712 (-1.365581) | 2.804548 / 5.269862 (-2.465314) | 1.896506 / 4.565676 (-2.669170) | 0.078303 / 0.424275 (-0.345972) | 0.005475 / 0.007607 (-0.002132) | 0.340162 / 0.226044 (0.114117) | 3.355732 / 2.268929 (1.086803) | 1.776012 / 55.444624 (-53.668613) | 1.507006 / 6.876477 (-5.369471) | 1.607234 / 2.142072 (-0.534838) | 0.796458 / 4.805227 (-4.008769) | 0.135888 / 6.500664 (-6.364776) | 0.042352 / 0.075469 (-0.033118) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.988337 / 1.841788 (-0.853450) | 11.299311 / 8.074308 (3.225003) | 9.166845 / 10.191392 (-1.024547) | 0.140351 / 0.680424 (-0.540073) | 0.013932 / 0.534201 (-0.520269) | 0.302157 / 0.579283 (-0.277126) | 0.259355 / 0.434364 (-0.175009) | 0.339850 / 0.540337 (-0.200488) | 0.465345 / 1.386936 (-0.921591) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005707 / 0.011353 (-0.005646) | 0.003846 / 0.011008 (-0.007162) | 0.050100 / 0.038508 (0.011591) | 0.031810 / 0.023109 (0.008701) | 0.265120 / 0.275898 (-0.010778) | 0.286635 / 0.323480 (-0.036845) | 0.004329 / 0.007986 (-0.003657) | 0.002757 / 0.004328 (-0.001571) | 0.050864 / 0.004250 (0.046614) | 0.039872 / 0.037052 (0.002820) | 0.277675 / 0.258489 (0.019186) | 0.310251 / 0.293841 (0.016410) | 0.032458 / 0.128546 (-0.096088) | 0.012072 / 0.075646 (-0.063574) | 0.060539 / 0.419271 (-0.358733) | 0.033772 / 0.043533 (-0.009761) | 0.265992 / 0.255139 (0.010853) | 0.286152 / 0.283200 (0.002953) | 0.018210 / 0.141683 (-0.123473) | 1.151461 / 1.452155 (-0.300694) | 1.199998 / 1.492716 (-0.292718) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094109 / 0.018006 (0.076103) | 0.298190 / 0.000490 (0.297701) | 0.000199 / 0.000200 (-0.000001) | 0.000045 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022431 / 0.037411 (-0.014980) | 0.076319 / 0.014526 (0.061794) | 0.090023 / 0.176557 (-0.086533) | 0.128189 / 0.737135 (-0.608946) | 0.089564 / 0.296338 (-0.206774) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.298887 / 0.215209 (0.083678) | 2.928580 / 2.077655 (0.850926) | 1.565379 / 1.504120 (0.061259) | 1.424704 / 1.541195 (-0.116490) | 1.446336 / 1.468490 (-0.022154) | 0.716348 / 4.584777 (-3.868429) | 0.967465 / 3.745712 (-2.778247) | 2.967318 / 5.269862 (-2.302544) | 1.918878 / 4.565676 (-2.646798) | 0.077167 / 0.424275 (-0.347108) | 0.005271 / 0.007607 (-0.002336) | 0.342376 / 0.226044 (0.116332) | 3.386044 / 2.268929 (1.117115) | 1.915308 / 55.444624 (-53.529316) | 1.612729 / 6.876477 (-5.263748) | 1.621278 / 2.142072 (-0.520794) | 0.804639 / 4.805227 (-4.000589) | 0.132596 / 6.500664 (-6.368069) | 0.041075 / 0.075469 (-0.034394) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.996521 / 1.841788 (-0.845267) | 12.328856 / 8.074308 (4.254548) | 10.585154 / 10.191392 (0.393762) | 0.131720 / 0.680424 (-0.548704) | 0.016777 / 0.534201 (-0.517424) | 0.300424 / 0.579283 (-0.278860) | 0.128526 / 0.434364 (-0.305838) | 0.339961 / 0.540337 (-0.200377) | 0.441661 / 1.386936 (-0.945275) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#a16477ddf8f96e590e9597225a5d180cce343f26 \"CML watermark\")\n"
] | 2024-06-28T05:37:36 | 2024-06-28T07:17:26 | 2024-06-28 07:11:17+00:00 | MEMBER | nan | Support ruff 0.5.0 in CI and revert:
- #7007
Fix #7008. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7009/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7009/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7009', 'html_url': 'https://github.com/huggingface/datasets/pull/7009', 'diff_url': 'https://github.com/huggingface/datasets/pull/7009.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7009.patch', 'merged_at': '2024-06-28T07:11:17Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7008 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7008/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7008/comments | https://api.github.com/repos/huggingface/datasets/issues/7008/events | https://github.com/huggingface/datasets/issues/7008 | 2379591141 | I_kwDODunzps6N1a3l | 7008 | Support ruff 0.5.0 in CI | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 4296013012, 'node_id': 'LA_kwDODunzps8AAAABAA_01A', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/maintenance', 'name': 'maintenance', 'color': 'd4c5f9', 'default': False, 'description': 'Maintenance tasks'}] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-06-28T05:11:26 | 2024-06-28T07:11:18 | 2024-06-28 07:11:18+00:00 | MEMBER | nan | Support ruff 0.5.0 in CI.
Also revert:
- #7007 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7008/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7008/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7007 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7007/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7007/comments | https://api.github.com/repos/huggingface/datasets/issues/7007/events | https://github.com/huggingface/datasets/pull/7007 | 2379588676 | PR_kwDODunzps5z2Q68 | 7007 | Fix CI by temporarily pinning ruff < 0.5.0 | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7007). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005225 / 0.011353 (-0.006128) | 0.003856 / 0.011008 (-0.007152) | 0.063455 / 0.038508 (0.024947) | 0.030184 / 0.023109 (0.007075) | 0.248518 / 0.275898 (-0.027380) | 0.270596 / 0.323480 (-0.052884) | 0.003185 / 0.007986 (-0.004800) | 0.002739 / 0.004328 (-0.001590) | 0.049379 / 0.004250 (0.045129) | 0.043190 / 0.037052 (0.006138) | 0.257181 / 0.258489 (-0.001308) | 0.283385 / 0.293841 (-0.010456) | 0.029702 / 0.128546 (-0.098844) | 0.012022 / 0.075646 (-0.063624) | 0.204531 / 0.419271 (-0.214741) | 0.035621 / 0.043533 (-0.007912) | 0.257745 / 0.255139 (0.002606) | 0.269033 / 0.283200 (-0.014167) | 0.019283 / 0.141683 (-0.122400) | 1.152477 / 1.452155 (-0.299678) | 1.180929 / 1.492716 (-0.311788) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094520 / 0.018006 (0.076514) | 0.299383 / 0.000490 (0.298893) | 0.000224 / 0.000200 (0.000024) | 0.000052 / 0.000054 (-0.000002) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019267 / 0.037411 (-0.018145) | 0.062458 / 0.014526 (0.047933) | 0.075743 / 0.176557 (-0.100814) | 0.128564 / 0.737135 (-0.608572) | 0.075549 / 0.296338 (-0.220789) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.288809 / 0.215209 (0.073600) | 2.854469 / 2.077655 (0.776814) | 1.581731 / 1.504120 (0.077611) | 1.460196 / 1.541195 (-0.080999) | 1.485567 / 1.468490 (0.017077) | 0.708824 / 4.584777 (-3.875953) | 2.362389 / 3.745712 (-1.383323) | 2.980804 / 5.269862 (-2.289057) | 1.918788 / 4.565676 (-2.646888) | 0.088389 / 0.424275 (-0.335886) | 0.005266 / 0.007607 (-0.002341) | 0.348598 / 0.226044 (0.122554) | 3.443202 / 2.268929 (1.174273) | 1.979311 / 55.444624 (-53.465314) | 1.655774 / 6.876477 (-5.220702) | 1.685538 / 2.142072 (-0.456535) | 0.788695 / 4.805227 (-4.016532) | 0.138403 / 6.500664 (-6.362261) | 0.043288 / 0.075469 (-0.032181) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.975874 / 1.841788 (-0.865913) | 11.506991 / 8.074308 (3.432683) | 9.640619 / 10.191392 (-0.550773) | 0.131897 / 0.680424 (-0.548527) | 0.014912 / 0.534201 (-0.519289) | 0.304173 / 0.579283 (-0.275110) | 0.262483 / 0.434364 (-0.171881) | 0.342636 / 0.540337 (-0.197701) | 0.440337 / 1.386936 (-0.946599) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005961 / 0.011353 (-0.005392) | 0.004023 / 0.011008 (-0.006985) | 0.050230 / 0.038508 (0.011722) | 0.033204 / 0.023109 (0.010095) | 0.263462 / 0.275898 (-0.012436) | 0.287517 / 0.323480 (-0.035963) | 0.004432 / 0.007986 (-0.003553) | 0.002938 / 0.004328 (-0.001390) | 0.049297 / 0.004250 (0.045047) | 0.041166 / 0.037052 (0.004113) | 0.279220 / 0.258489 (0.020731) | 0.312857 / 0.293841 (0.019016) | 0.032567 / 0.128546 (-0.095979) | 0.012566 / 0.075646 (-0.063080) | 0.060579 / 0.419271 (-0.358692) | 0.033760 / 0.043533 (-0.009773) | 0.264219 / 0.255139 (0.009080) | 0.282929 / 0.283200 (-0.000270) | 0.017434 / 0.141683 (-0.124248) | 1.148472 / 1.452155 (-0.303683) | 1.247434 / 1.492716 (-0.245282) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004566 / 0.018006 (-0.013440) | 0.296110 / 0.000490 (0.295621) | 0.000219 / 0.000200 (0.000019) | 0.000051 / 0.000054 (-0.000003) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022514 / 0.037411 (-0.014897) | 0.076554 / 0.014526 (0.062029) | 0.090427 / 0.176557 (-0.086130) | 0.128611 / 0.737135 (-0.608524) | 0.090748 / 0.296338 (-0.205590) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.315051 / 0.215209 (0.099842) | 3.099662 / 2.077655 (1.022007) | 1.706009 / 1.504120 (0.201889) | 1.574637 / 1.541195 (0.033442) | 1.592454 / 1.468490 (0.123964) | 0.724699 / 4.584777 (-3.860078) | 0.949954 / 3.745712 (-2.795758) | 2.818915 / 5.269862 (-2.450946) | 1.931290 / 4.565676 (-2.634386) | 0.079308 / 0.424275 (-0.344967) | 0.005414 / 0.007607 (-0.002193) | 0.373547 / 0.226044 (0.147503) | 3.742222 / 2.268929 (1.473293) | 2.076239 / 55.444624 (-53.368385) | 1.772359 / 6.876477 (-5.104118) | 1.894369 / 2.142072 (-0.247703) | 0.803650 / 4.805227 (-4.001578) | 0.136995 / 6.500664 (-6.363669) | 0.041565 / 0.075469 (-0.033905) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.989806 / 1.841788 (-0.851982) | 12.151497 / 8.074308 (4.077189) | 10.188075 / 10.191392 (-0.003317) | 0.141194 / 0.680424 (-0.539230) | 0.016351 / 0.534201 (-0.517850) | 0.303242 / 0.579283 (-0.276041) | 0.127446 / 0.434364 (-0.306918) | 0.339806 / 0.540337 (-0.200532) | 0.443527 / 1.386936 (-0.943409) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#dd631431cb73c3ca434dfd6b115a6c30c5a665a5 \"CML watermark\")\n"
] | 2024-06-28T05:09:17 | 2024-06-28T05:31:21 | 2024-06-28 05:25:17+00:00 | MEMBER | nan | As a hotfix for CI, temporarily pin ruff upper version < 0.5.0.
Fix #7006.
Revert once root cause is fixed. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7007/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7007/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7007', 'html_url': 'https://github.com/huggingface/datasets/pull/7007', 'diff_url': 'https://github.com/huggingface/datasets/pull/7007.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7007.patch', 'merged_at': '2024-06-28T05:25:17Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7006 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7006/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7006/comments | https://api.github.com/repos/huggingface/datasets/issues/7006/events | https://github.com/huggingface/datasets/issues/7006 | 2379581543 | I_kwDODunzps6N1Yhn | 7006 | CI is broken after ruff-0.5.0: E721 | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 4296013012, 'node_id': 'LA_kwDODunzps8AAAABAA_01A', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/maintenance', 'name': 'maintenance', 'color': 'd4c5f9', 'default': False, 'description': 'Maintenance tasks'}] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-06-28T05:03:28 | 2024-06-28T05:25:18 | 2024-06-28 05:25:18+00:00 | MEMBER | nan | After ruff-0.5.0 release (https://github.com/astral-sh/ruff/releases/tag/0.5.0), our CI is broken due to E721 rule.
See: https://github.com/huggingface/datasets/actions/runs/9707641618/job/26793170961?pr=6983
> src/datasets/features/features.py:844:12: E721 Use `is` and `is not` for type comparisons, or `isinstance()` for isinstance checks | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7006/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7006/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7005 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7005/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7005/comments | https://api.github.com/repos/huggingface/datasets/issues/7005/events | https://github.com/huggingface/datasets/issues/7005 | 2378424349 | I_kwDODunzps6Nw-Ad | 7005 | EmptyDatasetError: The directory at /metadata.jsonl doesn't contain any data files | {'login': 'Aki1991', 'id': 117731544, 'node_id': 'U_kgDOBwRw2A', 'avatar_url': 'https://avatars.githubusercontent.com/u/117731544?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/Aki1991', 'html_url': 'https://github.com/Aki1991', 'followers_url': 'https://api.github.com/users/Aki1991/followers', 'following_url': 'https://api.github.com/users/Aki1991/following{/other_user}', 'gists_url': 'https://api.github.com/users/Aki1991/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/Aki1991/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/Aki1991/subscriptions', 'organizations_url': 'https://api.github.com/users/Aki1991/orgs', 'repos_url': 'https://api.github.com/users/Aki1991/repos', 'events_url': 'https://api.github.com/users/Aki1991/events{/privacy}', 'received_events_url': 'https://api.github.com/users/Aki1991/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"Hi ! `data_dir=` is for directories, can you try using `data_files=` instead ?",
"If you are trying to load your image dataset from a local folder, you should replace \"data_dir=path/to/jsonl/metadata.jsonl\" with the real folder path in your computer.\r\n\r\nhttps://huggingface.co/docs/datasets/en/image_load#imagefolder",
"Ah yes. My bad. I was giving file name. I should have given the folder directory as the path. That solved my issue. Thank you @albertvillanova and @lhoestq. "
] | 2024-06-27T15:08:26 | 2024-06-28T09:56:19 | 2024-06-28 09:56:19+00:00 | NONE | nan | ### Describe the bug
while trying to load custom dataset from jsonl file, I get the error: "metadata.jsonl doesn't contain any data files"
### Steps to reproduce the bug
This is my [metadata_v2.jsonl](https://github.com/user-attachments/files/16016011/metadata_v2.json) file. I have this file in the folder with all images mentioned in that json(l) file.
Through below mentioned command I am trying to load_dataset so that I can upload it as mentioned here on the [official website](https://huggingface.co/docs/datasets/en/image_dataset#upload-dataset-to-the-hub).
````
from datasets import load_dataset
dataset = load_dataset("imagefolder", data_dir="path/to/jsonl/metadata.jsonl")
````
error:
````
EmptyDatasetError Traceback (most recent call last)
Cell In[18], line 3
1 from datasets import load_dataset
----> 3 dataset = load_dataset("imagefolder",
4 data_dir="path/to/jsonl/file/metadata.jsonl")
5 dataset[0]["objects"]
File ~/anaconda3/envs/lvis/lib/python3.11/site-packages/datasets/load.py:2594, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
2589 verification_mode = VerificationMode(
2590 (verification_mode or VerificationMode.BASIC_CHECKS) if not save_infos else VerificationMode.ALL_CHECKS
2591 )
2593 # Create a dataset builder
-> 2594 builder_instance = load_dataset_builder(
2595 path=path,
2596 name=name,
2597 data_dir=data_dir,
2598 data_files=data_files,
2599 cache_dir=cache_dir,
2600 features=features,
2601 download_config=download_config,
2602 download_mode=download_mode,
2603 revision=revision,
2604 token=token,
2605 storage_options=storage_options,
2606 trust_remote_code=trust_remote_code,
2607 _require_default_config_name=name is None,
2608 **config_kwargs,
2609 )
2611 # Return iterable dataset in case of streaming
2612 if streaming:
File ~/anaconda3/envs/lvis/lib/python3.11/site-packages/datasets/load.py:2266, in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, token, use_auth_token, storage_options, trust_remote_code, _require_default_config_name, **config_kwargs)
2264 download_config = download_config.copy() if download_config else DownloadConfig()
2265 download_config.storage_options.update(storage_options)
-> 2266 dataset_module = dataset_module_factory(
2267 path,
2268 revision=revision,
2269 download_config=download_config,
2270 download_mode=download_mode,
2271 data_dir=data_dir,
2272 data_files=data_files,
2273 cache_dir=cache_dir,
2274 trust_remote_code=trust_remote_code,
2275 _require_default_config_name=_require_default_config_name,
2276 _require_custom_configs=bool(config_kwargs),
2277 )
2278 # Get dataset builder class from the processing script
2279 builder_kwargs = dataset_module.builder_kwargs
File ~/anaconda3/envs/lvis/lib/python3.11/site-packages/datasets/load.py:1805, in dataset_module_factory(path, revision, download_config, download_mode, dynamic_modules_path, data_dir, data_files, cache_dir, trust_remote_code, _require_default_config_name, _require_custom_configs, **download_kwargs)
1782 # We have several ways to get a dataset builder:
1783 #
1784 # - if path is the name of a packaged dataset module
(...)
1796
1797 # Try packaged
1798 if path in _PACKAGED_DATASETS_MODULES:
1799 return PackagedDatasetModuleFactory(
1800 path,
1801 data_dir=data_dir,
1802 data_files=data_files,
1803 download_config=download_config,
1804 download_mode=download_mode,
-> 1805 ).get_module()
1806 # Try locally
1807 elif path.endswith(filename):
File ~/anaconda3/envs/lvis/lib/python3.11/site-packages/datasets/load.py:1140, in PackagedDatasetModuleFactory.get_module(self)
1135 def get_module(self) -> DatasetModule:
1136 base_path = Path(self.data_dir or "").expanduser().resolve().as_posix()
1137 patterns = (
1138 sanitize_patterns(self.data_files)
1139 if self.data_files is not None
-> 1140 else get_data_patterns(base_path, download_config=self.download_config)
1141 )
1142 data_files = DataFilesDict.from_patterns(
1143 patterns,
1144 download_config=self.download_config,
1145 base_path=base_path,
1146 )
1147 supports_metadata = self.name in _MODULE_SUPPORTS_METADATA
File ~/anaconda3/envs/lvis/lib/python3.11/site-packages/datasets/data_files.py:503, in get_data_patterns(base_path, download_config)
501 return _get_data_files_patterns(resolver)
502 except FileNotFoundError:
--> 503 raise EmptyDatasetError(f"The directory at {base_path} doesn't contain any data files") from None
EmptyDatasetError: The directory at path/to/jsonl/file/metadata.jsonl doesn't contain any data files`
```
### Expected behavior
It should be able load the whole file in a format of "dataset" inside the dataset variable. But it gives error "The directory at "path/to/jsonl/metadata.jsonl" doesn't contain any data files."
### Environment info
I am using conda environment. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7005/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7005/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7004 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7004/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7004/comments | https://api.github.com/repos/huggingface/datasets/issues/7004/events | https://github.com/huggingface/datasets/pull/7004 | 2376064264 | PR_kwDODunzps5zrIYR | 7004 | Fix WebDatasets KeyError for user-defined Features when a field is missing in an example | {'login': 'ProGamerGov', 'id': 10626398, 'node_id': 'MDQ6VXNlcjEwNjI2Mzk4', 'avatar_url': 'https://avatars.githubusercontent.com/u/10626398?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/ProGamerGov', 'html_url': 'https://github.com/ProGamerGov', 'followers_url': 'https://api.github.com/users/ProGamerGov/followers', 'following_url': 'https://api.github.com/users/ProGamerGov/following{/other_user}', 'gists_url': 'https://api.github.com/users/ProGamerGov/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/ProGamerGov/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/ProGamerGov/subscriptions', 'organizations_url': 'https://api.github.com/users/ProGamerGov/orgs', 'repos_url': 'https://api.github.com/users/ProGamerGov/repos', 'events_url': 'https://api.github.com/users/ProGamerGov/events{/privacy}', 'received_events_url': 'https://api.github.com/users/ProGamerGov/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7004). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005188 / 0.011353 (-0.006165) | 0.003812 / 0.011008 (-0.007196) | 0.062408 / 0.038508 (0.023900) | 0.030734 / 0.023109 (0.007625) | 0.236528 / 0.275898 (-0.039370) | 0.267684 / 0.323480 (-0.055796) | 0.003182 / 0.007986 (-0.004804) | 0.004009 / 0.004328 (-0.000319) | 0.048966 / 0.004250 (0.044715) | 0.045259 / 0.037052 (0.008207) | 0.250586 / 0.258489 (-0.007903) | 0.287079 / 0.293841 (-0.006762) | 0.029235 / 0.128546 (-0.099311) | 0.012216 / 0.075646 (-0.063431) | 0.203864 / 0.419271 (-0.215408) | 0.036324 / 0.043533 (-0.007209) | 0.245180 / 0.255139 (-0.009959) | 0.270327 / 0.283200 (-0.012872) | 0.018676 / 0.141683 (-0.123007) | 1.115568 / 1.452155 (-0.336586) | 1.183267 / 1.492716 (-0.309449) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094307 / 0.018006 (0.076301) | 0.299071 / 0.000490 (0.298581) | 0.000219 / 0.000200 (0.000019) | 0.000042 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018336 / 0.037411 (-0.019076) | 0.062973 / 0.014526 (0.048447) | 0.074137 / 0.176557 (-0.102420) | 0.120553 / 0.737135 (-0.616582) | 0.075411 / 0.296338 (-0.220927) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.284751 / 0.215209 (0.069542) | 2.789294 / 2.077655 (0.711640) | 1.457789 / 1.504120 (-0.046331) | 1.339140 / 1.541195 (-0.202055) | 1.341685 / 1.468490 (-0.126805) | 0.714928 / 4.584777 (-3.869849) | 2.361197 / 3.745712 (-1.384516) | 2.791569 / 5.269862 (-2.478293) | 1.892261 / 4.565676 (-2.673416) | 0.077954 / 0.424275 (-0.346321) | 0.005454 / 0.007607 (-0.002153) | 0.350766 / 0.226044 (0.124721) | 3.416749 / 2.268929 (1.147820) | 1.835377 / 55.444624 (-53.609247) | 1.506456 / 6.876477 (-5.370020) | 1.642728 / 2.142072 (-0.499344) | 0.791543 / 4.805227 (-4.013684) | 0.133102 / 6.500664 (-6.367562) | 0.042572 / 0.075469 (-0.032897) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.977958 / 1.841788 (-0.863830) | 11.438271 / 8.074308 (3.363963) | 9.305719 / 10.191392 (-0.885673) | 0.141239 / 0.680424 (-0.539185) | 0.014330 / 0.534201 (-0.519871) | 0.302201 / 0.579283 (-0.277082) | 0.261688 / 0.434364 (-0.172676) | 0.338752 / 0.540337 (-0.201586) | 0.468466 / 1.386936 (-0.918470) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005629 / 0.011353 (-0.005723) | 0.003997 / 0.011008 (-0.007011) | 0.050447 / 0.038508 (0.011939) | 0.031694 / 0.023109 (0.008585) | 0.277392 / 0.275898 (0.001494) | 0.290440 / 0.323480 (-0.033040) | 0.004403 / 0.007986 (-0.003583) | 0.002851 / 0.004328 (-0.001478) | 0.048593 / 0.004250 (0.044343) | 0.040622 / 0.037052 (0.003570) | 0.282640 / 0.258489 (0.024151) | 0.309390 / 0.293841 (0.015549) | 0.031453 / 0.128546 (-0.097094) | 0.012424 / 0.075646 (-0.063223) | 0.060311 / 0.419271 (-0.358960) | 0.033195 / 0.043533 (-0.010338) | 0.266867 / 0.255139 (0.011728) | 0.281966 / 0.283200 (-0.001234) | 0.018026 / 0.141683 (-0.123657) | 1.136273 / 1.452155 (-0.315882) | 1.141643 / 1.492716 (-0.351073) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095011 / 0.018006 (0.077005) | 0.300571 / 0.000490 (0.300082) | 0.000220 / 0.000200 (0.000020) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022903 / 0.037411 (-0.014508) | 0.077130 / 0.014526 (0.062604) | 0.089576 / 0.176557 (-0.086980) | 0.127156 / 0.737135 (-0.609980) | 0.090008 / 0.296338 (-0.206331) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.289270 / 0.215209 (0.074061) | 2.848239 / 2.077655 (0.770585) | 1.546788 / 1.504120 (0.042668) | 1.417275 / 1.541195 (-0.123920) | 1.456214 / 1.468490 (-0.012276) | 0.716688 / 4.584777 (-3.868088) | 0.940242 / 3.745712 (-2.805470) | 2.911956 / 5.269862 (-2.357906) | 1.871358 / 4.565676 (-2.694318) | 0.077553 / 0.424275 (-0.346722) | 0.005279 / 0.007607 (-0.002328) | 0.343338 / 0.226044 (0.117294) | 3.368694 / 2.268929 (1.099766) | 1.896765 / 55.444624 (-53.547859) | 1.612414 / 6.876477 (-5.264063) | 1.615934 / 2.142072 (-0.526138) | 0.794016 / 4.805227 (-4.011212) | 0.131821 / 6.500664 (-6.368843) | 0.041495 / 0.075469 (-0.033975) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.003418 / 1.841788 (-0.838370) | 12.073906 / 8.074308 (3.999598) | 10.166291 / 10.191392 (-0.025101) | 0.131224 / 0.680424 (-0.549200) | 0.015246 / 0.534201 (-0.518955) | 0.299835 / 0.579283 (-0.279448) | 0.124308 / 0.434364 (-0.310056) | 0.336414 / 0.540337 (-0.203924) | 0.429569 / 1.386936 (-0.957367) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#83d28601fad73755b74314a9bc1e327005514d54 \"CML watermark\")\n",
"@lhoestq Thank you!"
] | 2024-06-26T18:58:05 | 2024-06-29T00:15:49 | 2024-06-28 09:30:12+00:00 | CONTRIBUTOR | nan | Fixes: https://github.com/huggingface/datasets/issues/6900
Not sure if this needs any addition stuff before merging | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7004/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7004/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7004', 'html_url': 'https://github.com/huggingface/datasets/pull/7004', 'diff_url': 'https://github.com/huggingface/datasets/pull/7004.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7004.patch', 'merged_at': '2024-06-28T09:30:12Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7003 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7003/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7003/comments | https://api.github.com/repos/huggingface/datasets/issues/7003/events | https://github.com/huggingface/datasets/pull/7003 | 2373084132 | PR_kwDODunzps5zhRAK | 7003 | minor fix for bfloat16 | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7003). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005633 / 0.011353 (-0.005720) | 0.004366 / 0.011008 (-0.006642) | 0.064081 / 0.038508 (0.025573) | 0.031790 / 0.023109 (0.008681) | 0.239270 / 0.275898 (-0.036628) | 0.267424 / 0.323480 (-0.056055) | 0.003229 / 0.007986 (-0.004756) | 0.002849 / 0.004328 (-0.001479) | 0.050147 / 0.004250 (0.045897) | 0.046119 / 0.037052 (0.009066) | 0.253506 / 0.258489 (-0.004983) | 0.280464 / 0.293841 (-0.013377) | 0.030561 / 0.128546 (-0.097985) | 0.012258 / 0.075646 (-0.063388) | 0.212222 / 0.419271 (-0.207049) | 0.036695 / 0.043533 (-0.006838) | 0.242141 / 0.255139 (-0.012998) | 0.263014 / 0.283200 (-0.020186) | 0.020008 / 0.141683 (-0.121675) | 1.103701 / 1.452155 (-0.348453) | 1.151641 / 1.492716 (-0.341076) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095884 / 0.018006 (0.077878) | 0.300858 / 0.000490 (0.300368) | 0.000209 / 0.000200 (0.000009) | 0.000052 / 0.000054 (-0.000002) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018713 / 0.037411 (-0.018698) | 0.063659 / 0.014526 (0.049134) | 0.074588 / 0.176557 (-0.101968) | 0.120779 / 0.737135 (-0.616356) | 0.077768 / 0.296338 (-0.218570) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.281680 / 0.215209 (0.066471) | 2.754658 / 2.077655 (0.677003) | 1.454036 / 1.504120 (-0.050084) | 1.333153 / 1.541195 (-0.208042) | 1.383616 / 1.468490 (-0.084874) | 0.728933 / 4.584777 (-3.855844) | 2.374989 / 3.745712 (-1.370723) | 2.990824 / 5.269862 (-2.279038) | 1.899065 / 4.565676 (-2.666612) | 0.078657 / 0.424275 (-0.345619) | 0.005162 / 0.007607 (-0.002445) | 0.335883 / 0.226044 (0.109838) | 3.323047 / 2.268929 (1.054119) | 1.848290 / 55.444624 (-53.596335) | 1.519510 / 6.876477 (-5.356966) | 1.563608 / 2.142072 (-0.578465) | 0.807890 / 4.805227 (-3.997337) | 0.134517 / 6.500664 (-6.366147) | 0.042208 / 0.075469 (-0.033262) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.963634 / 1.841788 (-0.878154) | 11.617868 / 8.074308 (3.543560) | 9.804648 / 10.191392 (-0.386744) | 0.142311 / 0.680424 (-0.538113) | 0.013748 / 0.534201 (-0.520453) | 0.300309 / 0.579283 (-0.278974) | 0.268214 / 0.434364 (-0.166150) | 0.342406 / 0.540337 (-0.197931) | 0.430315 / 1.386936 (-0.956621) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005533 / 0.011353 (-0.005820) | 0.004208 / 0.011008 (-0.006800) | 0.051732 / 0.038508 (0.013224) | 0.031296 / 0.023109 (0.008187) | 0.275091 / 0.275898 (-0.000807) | 0.296889 / 0.323480 (-0.026591) | 0.004363 / 0.007986 (-0.003623) | 0.002807 / 0.004328 (-0.001522) | 0.049727 / 0.004250 (0.045476) | 0.039798 / 0.037052 (0.002746) | 0.284379 / 0.258489 (0.025890) | 0.317281 / 0.293841 (0.023440) | 0.031286 / 0.128546 (-0.097261) | 0.012384 / 0.075646 (-0.063263) | 0.061619 / 0.419271 (-0.357652) | 0.032974 / 0.043533 (-0.010559) | 0.274313 / 0.255139 (0.019174) | 0.296142 / 0.283200 (0.012943) | 0.017391 / 0.141683 (-0.124291) | 1.148369 / 1.452155 (-0.303786) | 1.171539 / 1.492716 (-0.321177) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097309 / 0.018006 (0.079302) | 0.304701 / 0.000490 (0.304212) | 0.000208 / 0.000200 (0.000008) | 0.000110 / 0.000054 (0.000055) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022382 / 0.037411 (-0.015030) | 0.077000 / 0.014526 (0.062474) | 0.088165 / 0.176557 (-0.088392) | 0.129060 / 0.737135 (-0.608075) | 0.090128 / 0.296338 (-0.206211) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.285308 / 0.215209 (0.070099) | 2.816680 / 2.077655 (0.739025) | 1.542418 / 1.504120 (0.038298) | 1.418567 / 1.541195 (-0.122628) | 1.447018 / 1.468490 (-0.021472) | 0.737055 / 4.584777 (-3.847722) | 0.968285 / 3.745712 (-2.777427) | 2.880120 / 5.269862 (-2.389741) | 1.921813 / 4.565676 (-2.643864) | 0.079110 / 0.424275 (-0.345165) | 0.005826 / 0.007607 (-0.001781) | 0.336441 / 0.226044 (0.110397) | 3.326384 / 2.268929 (1.057456) | 1.929205 / 55.444624 (-53.515419) | 1.618215 / 6.876477 (-5.258261) | 1.769688 / 2.142072 (-0.372385) | 0.808009 / 4.805227 (-3.997219) | 0.136384 / 6.500664 (-6.364280) | 0.041332 / 0.075469 (-0.034137) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.010884 / 1.841788 (-0.830903) | 12.266118 / 8.074308 (4.191810) | 10.287424 / 10.191392 (0.096032) | 0.143172 / 0.680424 (-0.537251) | 0.015798 / 0.534201 (-0.518403) | 0.301604 / 0.579283 (-0.277679) | 0.131079 / 0.434364 (-0.303285) | 0.338396 / 0.540337 (-0.201941) | 0.460721 / 1.386936 (-0.926215) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#1e1d31387aa594b2e745c8ed8964962c134d203d \"CML watermark\")\n"
] | 2024-06-25T16:10:04 | 2024-06-25T16:16:11 | 2024-06-25 16:10:10+00:00 | MEMBER | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7003/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7003/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7003', 'html_url': 'https://github.com/huggingface/datasets/pull/7003', 'diff_url': 'https://github.com/huggingface/datasets/pull/7003.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7003.patch', 'merged_at': '2024-06-25T16:10:10Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7002 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7002/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7002/comments | https://api.github.com/repos/huggingface/datasets/issues/7002/events | https://github.com/huggingface/datasets/pull/7002 | 2373010351 | PR_kwDODunzps5zhBld | 7002 | Fix dump of bfloat16 torch tensor | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7002). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005321 / 0.011353 (-0.006032) | 0.003495 / 0.011008 (-0.007514) | 0.065577 / 0.038508 (0.027069) | 0.030876 / 0.023109 (0.007767) | 0.255216 / 0.275898 (-0.020682) | 0.265111 / 0.323480 (-0.058368) | 0.003149 / 0.007986 (-0.004837) | 0.004062 / 0.004328 (-0.000267) | 0.051142 / 0.004250 (0.046891) | 0.042460 / 0.037052 (0.005408) | 0.270692 / 0.258489 (0.012203) | 0.284957 / 0.293841 (-0.008884) | 0.030143 / 0.128546 (-0.098403) | 0.012148 / 0.075646 (-0.063498) | 0.203706 / 0.419271 (-0.215565) | 0.035948 / 0.043533 (-0.007584) | 0.251391 / 0.255139 (-0.003748) | 0.270908 / 0.283200 (-0.012292) | 0.018496 / 0.141683 (-0.123187) | 1.118567 / 1.452155 (-0.333587) | 1.157695 / 1.492716 (-0.335021) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.135649 / 0.018006 (0.117643) | 0.281489 / 0.000490 (0.281000) | 0.000244 / 0.000200 (0.000044) | 0.000042 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018700 / 0.037411 (-0.018711) | 0.062305 / 0.014526 (0.047779) | 0.074968 / 0.176557 (-0.101589) | 0.121490 / 0.737135 (-0.615645) | 0.075585 / 0.296338 (-0.220754) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.276929 / 0.215209 (0.061720) | 2.733543 / 2.077655 (0.655888) | 1.414585 / 1.504120 (-0.089535) | 1.301975 / 1.541195 (-0.239220) | 1.336698 / 1.468490 (-0.131792) | 0.720650 / 4.584777 (-3.864127) | 2.374796 / 3.745712 (-1.370917) | 2.866534 / 5.269862 (-2.403327) | 1.819607 / 4.565676 (-2.746069) | 0.077914 / 0.424275 (-0.346361) | 0.005146 / 0.007607 (-0.002461) | 0.331722 / 0.226044 (0.105678) | 3.290875 / 2.268929 (1.021946) | 1.799806 / 55.444624 (-53.644818) | 1.476816 / 6.876477 (-5.399660) | 1.511441 / 2.142072 (-0.630631) | 0.798043 / 4.805227 (-4.007185) | 0.134577 / 6.500664 (-6.366087) | 0.042055 / 0.075469 (-0.033415) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.967908 / 1.841788 (-0.873880) | 11.215688 / 8.074308 (3.141380) | 9.486403 / 10.191392 (-0.704989) | 0.141864 / 0.680424 (-0.538560) | 0.013462 / 0.534201 (-0.520739) | 0.302601 / 0.579283 (-0.276682) | 0.266870 / 0.434364 (-0.167494) | 0.336963 / 0.540337 (-0.203375) | 0.425374 / 1.386936 (-0.961562) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005549 / 0.011353 (-0.005803) | 0.003464 / 0.011008 (-0.007544) | 0.051421 / 0.038508 (0.012913) | 0.032320 / 0.023109 (0.009211) | 0.269591 / 0.275898 (-0.006307) | 0.292015 / 0.323480 (-0.031465) | 0.004351 / 0.007986 (-0.003634) | 0.002772 / 0.004328 (-0.001556) | 0.048836 / 0.004250 (0.044586) | 0.039501 / 0.037052 (0.002449) | 0.282419 / 0.258489 (0.023930) | 0.312289 / 0.293841 (0.018448) | 0.031788 / 0.128546 (-0.096759) | 0.012074 / 0.075646 (-0.063572) | 0.060457 / 0.419271 (-0.358814) | 0.033106 / 0.043533 (-0.010427) | 0.270323 / 0.255139 (0.015184) | 0.287855 / 0.283200 (0.004655) | 0.017865 / 0.141683 (-0.123818) | 1.130406 / 1.452155 (-0.321749) | 1.178679 / 1.492716 (-0.314038) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.093606 / 0.018006 (0.075600) | 0.297328 / 0.000490 (0.296838) | 0.000211 / 0.000200 (0.000011) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022498 / 0.037411 (-0.014913) | 0.076927 / 0.014526 (0.062401) | 0.088013 / 0.176557 (-0.088544) | 0.127279 / 0.737135 (-0.609857) | 0.089424 / 0.296338 (-0.206914) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.296441 / 0.215209 (0.081232) | 2.913051 / 2.077655 (0.835396) | 1.581816 / 1.504120 (0.077696) | 1.451575 / 1.541195 (-0.089620) | 1.458968 / 1.468490 (-0.009522) | 0.727191 / 4.584777 (-3.857586) | 0.954607 / 3.745712 (-2.791106) | 2.824357 / 5.269862 (-2.445505) | 1.886779 / 4.565676 (-2.678898) | 0.079397 / 0.424275 (-0.344878) | 0.005566 / 0.007607 (-0.002041) | 0.351655 / 0.226044 (0.125611) | 3.395790 / 2.268929 (1.126862) | 1.886238 / 55.444624 (-53.558387) | 1.615413 / 6.876477 (-5.261064) | 1.723922 / 2.142072 (-0.418150) | 0.807858 / 4.805227 (-3.997369) | 0.132998 / 6.500664 (-6.367667) | 0.040396 / 0.075469 (-0.035073) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.008527 / 1.841788 (-0.833261) | 11.736104 / 8.074308 (3.661796) | 10.283367 / 10.191392 (0.091975) | 0.141386 / 0.680424 (-0.539038) | 0.015722 / 0.534201 (-0.518479) | 0.301785 / 0.579283 (-0.277498) | 0.123073 / 0.434364 (-0.311291) | 0.340478 / 0.540337 (-0.199859) | 0.462936 / 1.386936 (-0.924000) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#bfb0a414d68e945addf95a9419a8314c372e19ba \"CML watermark\")\n"
] | 2024-06-25T15:38:09 | 2024-06-25T16:10:16 | 2024-06-25 15:51:52+00:00 | MEMBER | nan | close https://github.com/huggingface/datasets/issues/7000 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7002/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7002/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/7002', 'html_url': 'https://github.com/huggingface/datasets/pull/7002', 'diff_url': 'https://github.com/huggingface/datasets/pull/7002.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/7002.patch', 'merged_at': '2024-06-25T15:51:52Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/7001 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7001/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7001/comments | https://api.github.com/repos/huggingface/datasets/issues/7001/events | https://github.com/huggingface/datasets/issues/7001 | 2372930879 | I_kwDODunzps6NcA0_ | 7001 | Datasetbuilder Local Download FileNotFoundError | {'login': 'purefall', 'id': 12601271, 'node_id': 'MDQ6VXNlcjEyNjAxMjcx', 'avatar_url': 'https://avatars.githubusercontent.com/u/12601271?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/purefall', 'html_url': 'https://github.com/purefall', 'followers_url': 'https://api.github.com/users/purefall/followers', 'following_url': 'https://api.github.com/users/purefall/following{/other_user}', 'gists_url': 'https://api.github.com/users/purefall/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/purefall/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/purefall/subscriptions', 'organizations_url': 'https://api.github.com/users/purefall/orgs', 'repos_url': 'https://api.github.com/users/purefall/repos', 'events_url': 'https://api.github.com/users/purefall/events{/privacy}', 'received_events_url': 'https://api.github.com/users/purefall/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"Ok it seems the solution is to use the directory string without the trailing \"/\" which in my case as: \r\n\r\n`parquet_dir = \"~/data/Parquet\" `\r\n\r\nStill i think this is a weird behavior... "
] | 2024-06-25T15:02:34 | 2024-06-25T15:21:19 | NaT | NONE | nan | ### Describe the bug
So I was trying to download a dataset and save it as parquet and I follow the [tutorial](https://huggingface.co/docs/datasets/filesystems#download-and-prepare-a-dataset-into-a-cloud-storage) of Huggingface. However, during the excution I face a FileNotFoundError.
I debug the code and it seems there is a bug there:
So first it creates a .incomplete folder and before moving its contents the following code deletes the directory
[Code](https://github.com/huggingface/datasets/blob/98fdc9e78e6d057ca66e58a37f49d6618aab8130/src/datasets/builder.py#L984)
hence as a result I face with:
``` FileNotFoundError: [Errno 2] No such file or directory: '~/data/Parquet/.incomplete '```
### Steps to reproduce the bug
```
from datasets import load_dataset_builder
from pathlib import Path
parquet_dir = "~/data/Parquet/"
Path(parquet_dir).mkdir(parents=True, exist_ok=True)
builder = load_dataset_builder(
"rotten_tomatoes",
)
builder.download_and_prepare(parquet_dir, file_format="parquet")
```
### Expected behavior
Downloads the files and saves as parquet
### Environment info
Ubuntu,
Python 3.10
```
datasets 2.19.1
``` | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7001/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7001/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/7000 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7000/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7000/comments | https://api.github.com/repos/huggingface/datasets/issues/7000/events | https://github.com/huggingface/datasets/issues/7000 | 2372887585 | I_kwDODunzps6Nb2Qh | 7000 | IterableDataset: Unsupported ScalarType BFloat16 | {'login': 'stoical07', 'id': 170015089, 'node_id': 'U_kgDOCiI5cQ', 'avatar_url': 'https://avatars.githubusercontent.com/u/170015089?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/stoical07', 'html_url': 'https://github.com/stoical07', 'followers_url': 'https://api.github.com/users/stoical07/followers', 'following_url': 'https://api.github.com/users/stoical07/following{/other_user}', 'gists_url': 'https://api.github.com/users/stoical07/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/stoical07/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/stoical07/subscriptions', 'organizations_url': 'https://api.github.com/users/stoical07/orgs', 'repos_url': 'https://api.github.com/users/stoical07/repos', 'events_url': 'https://api.github.com/users/stoical07/events{/privacy}', 'received_events_url': 'https://api.github.com/users/stoical07/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"@lhoestq Thank you for merging #6607, but unfortunately the issue persists for `IterableDataset` :pensive: ",
"Hi ! I opened https://github.com/huggingface/datasets/pull/7002 to fix this bug",
"Amazing, thank you so much @lhoestq! :pray:"
] | 2024-06-25T14:43:26 | 2024-06-25T16:04:00 | 2024-06-25 15:51:53+00:00 | NONE | nan | ### Describe the bug
`IterableDataset.from_generator` crashes when using BFloat16:
```
File "/usr/local/lib/python3.11/site-packages/datasets/utils/_dill.py", line 169, in _save_torchTensor
args = (obj.detach().cpu().numpy(),)
^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: Got unsupported ScalarType BFloat16
```
### Steps to reproduce the bug
```python
import torch
from datasets import IterableDataset
def demo(x):
yield {"x": x}
x = torch.tensor([1.], dtype=torch.bfloat16)
dataset = IterableDataset.from_generator(
demo,
gen_kwargs=dict(x=x),
)
example = next(iter(dataset))
print(example)
```
### Expected behavior
Code sample should print:
```python
{'x': tensor([1.], dtype=torch.bfloat16)}
```
### Environment info
```
datasets==2.20.0
torch==2.2.2
``` | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/7000/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/7000/timeline | nan | completed | nan | None | true |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6999). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-06-25T09:06:16 | 2024-07-03T12:01:42 | NaT | MEMBER | nan | Remove tasks, as part of the 3.0 release. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6999/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6999/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6999', 'html_url': 'https://github.com/huggingface/datasets/pull/6999', 'diff_url': 'https://github.com/huggingface/datasets/pull/6999.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6999.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/6998 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6998/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6998/comments | https://api.github.com/repos/huggingface/datasets/issues/6998/events | https://github.com/huggingface/datasets/pull/6998 | 2371973926 | PR_kwDODunzps5zddYG | 6998 | Fix tests using hf-internal-testing/librispeech_asr_dummy | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6998). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005396 / 0.011353 (-0.005957) | 0.003974 / 0.011008 (-0.007034) | 0.063490 / 0.038508 (0.024982) | 0.030299 / 0.023109 (0.007189) | 0.244489 / 0.275898 (-0.031409) | 0.274116 / 0.323480 (-0.049364) | 0.003187 / 0.007986 (-0.004798) | 0.003433 / 0.004328 (-0.000896) | 0.049313 / 0.004250 (0.045062) | 0.043677 / 0.037052 (0.006624) | 0.260198 / 0.258489 (0.001709) | 0.283558 / 0.293841 (-0.010283) | 0.029728 / 0.128546 (-0.098819) | 0.011950 / 0.075646 (-0.063696) | 0.204371 / 0.419271 (-0.214901) | 0.035712 / 0.043533 (-0.007821) | 0.252715 / 0.255139 (-0.002424) | 0.268906 / 0.283200 (-0.014293) | 0.021153 / 0.141683 (-0.120529) | 1.125599 / 1.452155 (-0.326556) | 1.163122 / 1.492716 (-0.329594) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095089 / 0.018006 (0.077083) | 0.298576 / 0.000490 (0.298086) | 0.000214 / 0.000200 (0.000014) | 0.000051 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018567 / 0.037411 (-0.018844) | 0.062337 / 0.014526 (0.047811) | 0.074231 / 0.176557 (-0.102326) | 0.120960 / 0.737135 (-0.616175) | 0.076124 / 0.296338 (-0.220215) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.286936 / 0.215209 (0.071727) | 2.816656 / 2.077655 (0.739001) | 1.486772 / 1.504120 (-0.017348) | 1.373289 / 1.541195 (-0.167905) | 1.392739 / 1.468490 (-0.075752) | 0.708091 / 4.584777 (-3.876686) | 2.410034 / 3.745712 (-1.335678) | 2.912701 / 5.269862 (-2.357161) | 1.850924 / 4.565676 (-2.714752) | 0.078896 / 0.424275 (-0.345380) | 0.005116 / 0.007607 (-0.002491) | 0.332275 / 0.226044 (0.106231) | 3.306562 / 2.268929 (1.037633) | 1.853051 / 55.444624 (-53.591573) | 1.556210 / 6.876477 (-5.320267) | 1.558892 / 2.142072 (-0.583181) | 0.789917 / 4.805227 (-4.015310) | 0.133683 / 6.500664 (-6.366981) | 0.042566 / 0.075469 (-0.032904) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.957050 / 1.841788 (-0.884738) | 11.401462 / 8.074308 (3.327154) | 9.782988 / 10.191392 (-0.408404) | 0.142127 / 0.680424 (-0.538296) | 0.014730 / 0.534201 (-0.519471) | 0.302647 / 0.579283 (-0.276636) | 0.264654 / 0.434364 (-0.169710) | 0.341340 / 0.540337 (-0.198998) | 0.425808 / 1.386936 (-0.961128) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005679 / 0.011353 (-0.005674) | 0.003513 / 0.011008 (-0.007495) | 0.050135 / 0.038508 (0.011627) | 0.031614 / 0.023109 (0.008505) | 0.260064 / 0.275898 (-0.015834) | 0.285816 / 0.323480 (-0.037664) | 0.004428 / 0.007986 (-0.003558) | 0.002816 / 0.004328 (-0.001512) | 0.048441 / 0.004250 (0.044191) | 0.039622 / 0.037052 (0.002570) | 0.274940 / 0.258489 (0.016451) | 0.311837 / 0.293841 (0.017996) | 0.031439 / 0.128546 (-0.097107) | 0.012056 / 0.075646 (-0.063590) | 0.060109 / 0.419271 (-0.359163) | 0.033123 / 0.043533 (-0.010409) | 0.261563 / 0.255139 (0.006424) | 0.282640 / 0.283200 (-0.000560) | 0.017168 / 0.141683 (-0.124515) | 1.127859 / 1.452155 (-0.324295) | 1.182414 / 1.492716 (-0.310303) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095517 / 0.018006 (0.077510) | 0.300578 / 0.000490 (0.300088) | 0.000212 / 0.000200 (0.000012) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022192 / 0.037411 (-0.015220) | 0.076617 / 0.014526 (0.062091) | 0.087405 / 0.176557 (-0.089151) | 0.127011 / 0.737135 (-0.610124) | 0.088706 / 0.296338 (-0.207632) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.294260 / 0.215209 (0.079051) | 2.872879 / 2.077655 (0.795224) | 1.531374 / 1.504120 (0.027254) | 1.399232 / 1.541195 (-0.141962) | 1.400708 / 1.468490 (-0.067782) | 0.714003 / 4.584777 (-3.870773) | 0.943144 / 3.745712 (-2.802568) | 2.833396 / 5.269862 (-2.436466) | 1.890570 / 4.565676 (-2.675106) | 0.077664 / 0.424275 (-0.346611) | 0.005651 / 0.007607 (-0.001956) | 0.349476 / 0.226044 (0.123431) | 3.405768 / 2.268929 (1.136840) | 1.869739 / 55.444624 (-53.574885) | 1.575293 / 6.876477 (-5.301184) | 1.692981 / 2.142072 (-0.449092) | 0.795363 / 4.805227 (-4.009865) | 0.131532 / 6.500664 (-6.369132) | 0.041183 / 0.075469 (-0.034286) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.000821 / 1.841788 (-0.840967) | 11.987795 / 8.074308 (3.913487) | 10.147652 / 10.191392 (-0.043740) | 0.141314 / 0.680424 (-0.539110) | 0.015506 / 0.534201 (-0.518695) | 0.305090 / 0.579283 (-0.274193) | 0.123403 / 0.434364 (-0.310960) | 0.346507 / 0.540337 (-0.193831) | 0.471318 / 1.386936 (-0.915618) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#186b560eb2393c7d1913f4b3e76e9e04a081e09b \"CML watermark\")\n"
] | 2024-06-25T07:59:44 | 2024-06-25T08:22:38 | 2024-06-25 08:13:42+00:00 | MEMBER | nan | Fix tests using hf-internal-testing/librispeech_asr_dummy once that dataset has been converted to Parquet.
Fix #6997. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6998/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6998/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6998', 'html_url': 'https://github.com/huggingface/datasets/pull/6998', 'diff_url': 'https://github.com/huggingface/datasets/pull/6998.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6998.patch', 'merged_at': '2024-06-25T08:13:42Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6997 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6997/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6997/comments | https://api.github.com/repos/huggingface/datasets/issues/6997/events | https://github.com/huggingface/datasets/issues/6997 | 2371966127 | I_kwDODunzps6NYVSv | 6997 | CI is broken for tests using hf-internal-testing/librispeech_asr_dummy | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 4296013012, 'node_id': 'LA_kwDODunzps8AAAABAA_01A', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/maintenance', 'name': 'maintenance', 'color': 'd4c5f9', 'default': False, 'description': 'Maintenance tasks'}] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-06-25T07:55:44 | 2024-06-25T08:13:43 | 2024-06-25 08:13:43+00:00 | MEMBER | nan | CI is broken: https://github.com/huggingface/datasets/actions/runs/9657882317/job/26637998686?pr=6996
```
FAILED tests/test_inspect.py::test_get_dataset_config_names[hf-internal-testing/librispeech_asr_dummy-expected4] - AssertionError: assert ['clean'] == ['clean', 'other']
Right contains one more item: 'other'
Full diff:
[
'clean',
- 'other',
]
FAILED tests/test_inspect.py::test_get_dataset_default_config_name[hf-internal-testing/librispeech_asr_dummy-None] - AssertionError: assert 'clean' is None
```
Note that repository was recently converted to Parquet: https://huggingface.co/datasets/hf-internal-testing/librispeech_asr_dummy/commit/5be91486e11a2d616f4ec5db8d3fd248585ac07a | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6997/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6997/timeline | nan | completed | nan | None | true |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6996). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-06-25T06:54:40 | 2024-07-01T12:36:59 | NaT | MEMBER | nan | Remove deprecated code, as part of the 3.0 release.
First merge:
- [x] #6983
- [x] #6987
- [ ] #6999 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6996/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6996/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6996', 'html_url': 'https://github.com/huggingface/datasets/pull/6996', 'diff_url': 'https://github.com/huggingface/datasets/pull/6996.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6996.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/6995 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6995/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6995/comments | https://api.github.com/repos/huggingface/datasets/issues/6995/events | https://github.com/huggingface/datasets/issues/6995 | 2370713475 | I_kwDODunzps6NTjeD | 6995 | ImportError when importing datasets.load_dataset | {'login': 'Leo-Lsc', 'id': 124846947, 'node_id': 'U_kgDOB3EDYw', 'avatar_url': 'https://avatars.githubusercontent.com/u/124846947?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/Leo-Lsc', 'html_url': 'https://github.com/Leo-Lsc', 'followers_url': 'https://api.github.com/users/Leo-Lsc/followers', 'following_url': 'https://api.github.com/users/Leo-Lsc/following{/other_user}', 'gists_url': 'https://api.github.com/users/Leo-Lsc/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/Leo-Lsc/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/Leo-Lsc/subscriptions', 'organizations_url': 'https://api.github.com/users/Leo-Lsc/orgs', 'repos_url': 'https://api.github.com/users/Leo-Lsc/repos', 'events_url': 'https://api.github.com/users/Leo-Lsc/events{/privacy}', 'received_events_url': 'https://api.github.com/users/Leo-Lsc/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [
"What is the version of your installed `huggingface-hub`:\r\n```python\r\nimport huggingface_hub\r\nprint(huggingface_hub.__version__)\r\n```\r\n\r\nIt seems you have a very old version of `huggingface-hub`, where `CommitInfo` was not still implemented. You need to update it:\r\n```\r\npip install -U huggingface-hub\r\n```\r\n\r\nNote that `CommitInfo` was implemented in huggingface-hub 0.10.0 and datasets requires \"huggingface-hub>=0.21.2\"",
"The version of my huggingface-hub is 0.23.4.",
"The error message says there is no CommitInfo in your installed huggingface-hub library:\r\n```\r\nImportError: cannot import name 'CommitInfo' from 'huggingface_hub' (D:\\Anaconda3\\envs\\CS224S\\Lib\\site-packages\\huggingface_hub_init_.py)\r\n```\r\n\r\nAnd this is implemented since version 0.10.0:\r\n- https://github.com/huggingface/huggingface_hub/pull/1066"
] | 2024-06-24T17:07:22 | 2024-06-25T07:17:25 | 2024-06-25 06:11:37+00:00 | NONE | nan | ### Describe the bug
I encountered an ImportError while trying to import `load_dataset` from the `datasets` module in Hugging Face. The error message indicates a problem with importing 'CommitInfo' from 'huggingface_hub'.
### Steps to reproduce the bug
1. pip install git+https://github.com/huggingface/datasets
2. from datasets import load_dataset
### Expected behavior
ImportError Traceback (most recent call last)
Cell In[7], [line 1](vscode-notebook-cell:?execution_count=7&line=1)
----> [1](vscode-notebook-cell:?execution_count=7&line=1) from datasets import load_dataset
[3](vscode-notebook-cell:?execution_count=7&line=3) train_set = load_dataset("mispeech/speechocean762", split="train")
[4](vscode-notebook-cell:?execution_count=7&line=4) test_set = load_dataset("mispeech/speechocean762", split="test")
File d:\Anaconda3\envs\CS224S\Lib\site-packages\datasets\__init__.py:[1](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/__init__.py:1)7
1 # Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors.
[2](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/__init__.py:2) #
[3](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/__init__.py:3) # Licensed under the Apache License, Version 2.0 (the "License");
(...)
[12](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/__init__.py:12) # See the License for the specific language governing permissions and
[13](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/__init__.py:13) # limitations under the License.
[15](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/__init__.py:15) __version__ = "2.20.1.dev0"
---> [17](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/__init__.py:17) from .arrow_dataset import Dataset
[18](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/__init__.py:18) from .arrow_reader import ReadInstruction
[19](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/__init__.py:19) from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
File d:\Anaconda3\envs\CS224S\Lib\site-packages\datasets\arrow_dataset.py:63
[61](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/arrow_dataset.py:61) import pyarrow.compute as pc
[62](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/arrow_dataset.py:62) from fsspec.core import url_to_fs
---> [63](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/arrow_dataset.py:63) from huggingface_hub import (
[64](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/arrow_dataset.py:64) CommitInfo,
[65](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/arrow_dataset.py:65) CommitOperationAdd,
...
[70](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/arrow_dataset.py:70) )
[71](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/arrow_dataset.py:71) from huggingface_hub.hf_api import RepoFile
[72](file:///D:/Anaconda3/envs/CS224S/Lib/site-packages/datasets/arrow_dataset.py:72) from multiprocess import Pool
ImportError: cannot import name 'CommitInfo' from 'huggingface_hub' (d:\Anaconda3\envs\CS224S\Lib\site-packages\huggingface_hub\__init__.py)
Output is truncated. View as a [scrollable element](command:cellOutput.enableScrolling?580889ab-0f61-4f37-9214-eaa2b3807f85) or open in a [text editor](command:workbench.action.openLargeOutput?580889ab-0f61-4f37-9214-eaa2b3807f85). Adjust cell output [settings](command:workbench.action.openSettings?%5B%22%40tag%3AnotebookOutputLayout%22%5D)...
### Environment info
Leo@DESKTOP-9NHUAMI MSYS /d/Anaconda3/envs/CS224S/Lib/site-packages/huggingface_hub
$ datasets-cli env
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "D:\Anaconda3\envs\CS224S\Scripts\datasets-cli.exe\__main__.py", line 4, in <module>
File "D:\Anaconda3\envs\CS224S\Lib\site-packages\datasets\__init__.py", line 17, in <module>
from .arrow_dataset import Dataset
File "D:\Anaconda3\envs\CS224S\Lib\site-packages\datasets\arrow_dataset.py", line 63, in <module>
from huggingface_hub import (
ImportError: cannot import name 'CommitInfo' from 'huggingface_hub' (D:\Anaconda3\envs\CS224S\Lib\site-packages\huggingface_hub\__init__.py)
(CS224S) | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6995/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6995/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6994 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6994/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6994/comments | https://api.github.com/repos/huggingface/datasets/issues/6994/events | https://github.com/huggingface/datasets/pull/6994 | 2370491689 | PR_kwDODunzps5zYYXr | 6994 | Fix incorrect rank value in data splitting | {'login': 'yzhangcs', 'id': 18402347, 'node_id': 'MDQ6VXNlcjE4NDAyMzQ3', 'avatar_url': 'https://avatars.githubusercontent.com/u/18402347?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/yzhangcs', 'html_url': 'https://github.com/yzhangcs', 'followers_url': 'https://api.github.com/users/yzhangcs/followers', 'following_url': 'https://api.github.com/users/yzhangcs/following{/other_user}', 'gists_url': 'https://api.github.com/users/yzhangcs/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/yzhangcs/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/yzhangcs/subscriptions', 'organizations_url': 'https://api.github.com/users/yzhangcs/orgs', 'repos_url': 'https://api.github.com/users/yzhangcs/repos', 'events_url': 'https://api.github.com/users/yzhangcs/events{/privacy}', 'received_events_url': 'https://api.github.com/users/yzhangcs/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"Sure~",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6994). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005538 / 0.011353 (-0.005815) | 0.003997 / 0.011008 (-0.007011) | 0.063444 / 0.038508 (0.024935) | 0.032552 / 0.023109 (0.009442) | 0.266574 / 0.275898 (-0.009324) | 0.282841 / 0.323480 (-0.040639) | 0.004279 / 0.007986 (-0.003706) | 0.002788 / 0.004328 (-0.001540) | 0.049226 / 0.004250 (0.044976) | 0.044688 / 0.037052 (0.007636) | 0.275464 / 0.258489 (0.016975) | 0.305278 / 0.293841 (0.011437) | 0.030097 / 0.128546 (-0.098450) | 0.012237 / 0.075646 (-0.063410) | 0.205526 / 0.419271 (-0.213745) | 0.036145 / 0.043533 (-0.007388) | 0.267395 / 0.255139 (0.012256) | 0.289149 / 0.283200 (0.005949) | 0.019044 / 0.141683 (-0.122639) | 1.162294 / 1.452155 (-0.289861) | 1.183642 / 1.492716 (-0.309074) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.139125 / 0.018006 (0.121119) | 0.301743 / 0.000490 (0.301253) | 0.000260 / 0.000200 (0.000061) | 0.000053 / 0.000054 (-0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019494 / 0.037411 (-0.017917) | 0.063078 / 0.014526 (0.048552) | 0.076989 / 0.176557 (-0.099567) | 0.121363 / 0.737135 (-0.615773) | 0.080040 / 0.296338 (-0.216298) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.284401 / 0.215209 (0.069192) | 2.805397 / 2.077655 (0.727742) | 1.555609 / 1.504120 (0.051489) | 1.405662 / 1.541195 (-0.135533) | 1.459492 / 1.468490 (-0.008999) | 0.718376 / 4.584777 (-3.866401) | 2.395918 / 3.745712 (-1.349794) | 2.976753 / 5.269862 (-2.293108) | 1.883938 / 4.565676 (-2.681738) | 0.078867 / 0.424275 (-0.345408) | 0.005207 / 0.007607 (-0.002400) | 0.335178 / 0.226044 (0.109133) | 3.313414 / 2.268929 (1.044485) | 1.856929 / 55.444624 (-53.587696) | 1.565319 / 6.876477 (-5.311158) | 1.592723 / 2.142072 (-0.549350) | 0.793621 / 4.805227 (-4.011606) | 0.134208 / 6.500664 (-6.366456) | 0.042853 / 0.075469 (-0.032616) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.981553 / 1.841788 (-0.860235) | 11.810438 / 8.074308 (3.736130) | 9.529874 / 10.191392 (-0.661518) | 0.142216 / 0.680424 (-0.538207) | 0.014303 / 0.534201 (-0.519898) | 0.304600 / 0.579283 (-0.274684) | 0.261869 / 0.434364 (-0.172495) | 0.347301 / 0.540337 (-0.193036) | 0.437395 / 1.386936 (-0.949541) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005881 / 0.011353 (-0.005472) | 0.004039 / 0.011008 (-0.006969) | 0.050241 / 0.038508 (0.011733) | 0.032670 / 0.023109 (0.009561) | 0.264940 / 0.275898 (-0.010959) | 0.287105 / 0.323480 (-0.036374) | 0.004844 / 0.007986 (-0.003142) | 0.002867 / 0.004328 (-0.001462) | 0.048083 / 0.004250 (0.043833) | 0.040965 / 0.037052 (0.003913) | 0.274390 / 0.258489 (0.015901) | 0.312107 / 0.293841 (0.018266) | 0.031714 / 0.128546 (-0.096832) | 0.012603 / 0.075646 (-0.063043) | 0.060698 / 0.419271 (-0.358573) | 0.033130 / 0.043533 (-0.010402) | 0.264444 / 0.255139 (0.009305) | 0.282797 / 0.283200 (-0.000403) | 0.027872 / 0.141683 (-0.113811) | 1.139026 / 1.452155 (-0.313129) | 1.181431 / 1.492716 (-0.311285) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097314 / 0.018006 (0.079308) | 0.301326 / 0.000490 (0.300836) | 0.000215 / 0.000200 (0.000015) | 0.000049 / 0.000054 (-0.000005) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023394 / 0.037411 (-0.014018) | 0.076270 / 0.014526 (0.061744) | 0.089065 / 0.176557 (-0.087491) | 0.129996 / 0.737135 (-0.607139) | 0.089642 / 0.296338 (-0.206697) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.295390 / 0.215209 (0.080181) | 2.877849 / 2.077655 (0.800194) | 1.537129 / 1.504120 (0.033009) | 1.409441 / 1.541195 (-0.131754) | 1.432468 / 1.468490 (-0.036023) | 0.718054 / 4.584777 (-3.866722) | 0.930872 / 3.745712 (-2.814841) | 2.841028 / 5.269862 (-2.428834) | 1.921990 / 4.565676 (-2.643686) | 0.077638 / 0.424275 (-0.346637) | 0.005494 / 0.007607 (-0.002113) | 0.336331 / 0.226044 (0.110287) | 3.330490 / 2.268929 (1.061561) | 1.887994 / 55.444624 (-53.556630) | 1.593332 / 6.876477 (-5.283144) | 1.726956 / 2.142072 (-0.415116) | 0.783612 / 4.805227 (-4.021615) | 0.129926 / 6.500664 (-6.370738) | 0.040792 / 0.075469 (-0.034677) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.980274 / 1.841788 (-0.861514) | 12.193871 / 8.074308 (4.119563) | 10.348934 / 10.191392 (0.157542) | 0.141584 / 0.680424 (-0.538840) | 0.015737 / 0.534201 (-0.518464) | 0.300725 / 0.579283 (-0.278558) | 0.127190 / 0.434364 (-0.307174) | 0.341142 / 0.540337 (-0.199196) | 0.459523 / 1.386936 (-0.927413) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#637246baf96f07b19b193ed101f34b65cb35cffb \"CML watermark\")\n"
] | 2024-06-24T15:07:47 | 2024-06-26T04:37:35 | 2024-06-25 16:19:17+00:00 | CONTRIBUTOR | nan | Fix #6990. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6994/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6994/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6994', 'html_url': 'https://github.com/huggingface/datasets/pull/6994', 'diff_url': 'https://github.com/huggingface/datasets/pull/6994.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6994.patch', 'merged_at': '2024-06-25T16:19:17Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6993 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6993/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6993/comments | https://api.github.com/repos/huggingface/datasets/issues/6993/events | https://github.com/huggingface/datasets/pull/6993 | 2370444104 | PR_kwDODunzps5zYN7P | 6993 | less script docs | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6993). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005810 / 0.011353 (-0.005543) | 0.003984 / 0.011008 (-0.007024) | 0.064347 / 0.038508 (0.025839) | 0.031943 / 0.023109 (0.008834) | 0.252596 / 0.275898 (-0.023302) | 0.274032 / 0.323480 (-0.049448) | 0.003494 / 0.007986 (-0.004492) | 0.002817 / 0.004328 (-0.001511) | 0.050132 / 0.004250 (0.045881) | 0.048008 / 0.037052 (0.010955) | 0.249037 / 0.258489 (-0.009452) | 0.288526 / 0.293841 (-0.005315) | 0.031038 / 0.128546 (-0.097509) | 0.012542 / 0.075646 (-0.063104) | 0.205682 / 0.419271 (-0.213590) | 0.038022 / 0.043533 (-0.005511) | 0.259001 / 0.255139 (0.003862) | 0.267455 / 0.283200 (-0.015744) | 0.021980 / 0.141683 (-0.119703) | 1.123996 / 1.452155 (-0.328159) | 1.173801 / 1.492716 (-0.318915) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.102827 / 0.018006 (0.084821) | 0.317210 / 0.000490 (0.316720) | 0.000222 / 0.000200 (0.000022) | 0.000052 / 0.000054 (-0.000002) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019483 / 0.037411 (-0.017928) | 0.064098 / 0.014526 (0.049572) | 0.076219 / 0.176557 (-0.100337) | 0.122898 / 0.737135 (-0.614237) | 0.080657 / 0.296338 (-0.215681) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.278378 / 0.215209 (0.063169) | 2.792314 / 2.077655 (0.714659) | 1.516439 / 1.504120 (0.012319) | 1.374052 / 1.541195 (-0.167143) | 1.370848 / 1.468490 (-0.097642) | 0.756002 / 4.584777 (-3.828775) | 2.349581 / 3.745712 (-1.396131) | 2.994094 / 5.269862 (-2.275768) | 1.904242 / 4.565676 (-2.661435) | 0.078769 / 0.424275 (-0.345506) | 0.005103 / 0.007607 (-0.002505) | 0.336331 / 0.226044 (0.110287) | 3.329502 / 2.268929 (1.060574) | 1.863545 / 55.444624 (-53.581079) | 1.554690 / 6.876477 (-5.321787) | 1.588448 / 2.142072 (-0.553624) | 0.787322 / 4.805227 (-4.017905) | 0.138345 / 6.500664 (-6.362320) | 0.042228 / 0.075469 (-0.033241) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.968607 / 1.841788 (-0.873181) | 11.972076 / 8.074308 (3.897768) | 9.927608 / 10.191392 (-0.263784) | 0.141666 / 0.680424 (-0.538758) | 0.014591 / 0.534201 (-0.519610) | 0.301995 / 0.579283 (-0.277288) | 0.274360 / 0.434364 (-0.160004) | 0.338396 / 0.540337 (-0.201941) | 0.431081 / 1.386936 (-0.955855) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.006122 / 0.011353 (-0.005231) | 0.004201 / 0.011008 (-0.006807) | 0.050204 / 0.038508 (0.011695) | 0.033222 / 0.023109 (0.010113) | 0.274357 / 0.275898 (-0.001542) | 0.296238 / 0.323480 (-0.027242) | 0.004542 / 0.007986 (-0.003444) | 0.002880 / 0.004328 (-0.001449) | 0.049103 / 0.004250 (0.044852) | 0.042294 / 0.037052 (0.005242) | 0.286459 / 0.258489 (0.027970) | 0.324988 / 0.293841 (0.031147) | 0.032084 / 0.128546 (-0.096462) | 0.012329 / 0.075646 (-0.063318) | 0.060261 / 0.419271 (-0.359010) | 0.034130 / 0.043533 (-0.009403) | 0.271432 / 0.255139 (0.016293) | 0.306251 / 0.283200 (0.023051) | 0.019744 / 0.141683 (-0.121939) | 1.153483 / 1.452155 (-0.298672) | 1.209126 / 1.492716 (-0.283591) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004737 / 0.018006 (-0.013270) | 0.313458 / 0.000490 (0.312968) | 0.000216 / 0.000200 (0.000017) | 0.000053 / 0.000054 (-0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022472 / 0.037411 (-0.014939) | 0.076725 / 0.014526 (0.062199) | 0.091356 / 0.176557 (-0.085201) | 0.132427 / 0.737135 (-0.604708) | 0.091072 / 0.296338 (-0.205266) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.294414 / 0.215209 (0.079205) | 2.913695 / 2.077655 (0.836040) | 1.567309 / 1.504120 (0.063189) | 1.448664 / 1.541195 (-0.092531) | 1.466386 / 1.468490 (-0.002105) | 0.718605 / 4.584777 (-3.866172) | 0.951963 / 3.745712 (-2.793749) | 2.812565 / 5.269862 (-2.457297) | 1.886483 / 4.565676 (-2.679193) | 0.077912 / 0.424275 (-0.346363) | 0.005371 / 0.007607 (-0.002236) | 0.349528 / 0.226044 (0.123484) | 3.431049 / 2.268929 (1.162121) | 1.920210 / 55.444624 (-53.524414) | 1.637927 / 6.876477 (-5.238549) | 1.767502 / 2.142072 (-0.374570) | 0.808672 / 4.805227 (-3.996555) | 0.134261 / 6.500664 (-6.366403) | 0.041295 / 0.075469 (-0.034174) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.023454 / 1.841788 (-0.818334) | 12.433731 / 8.074308 (4.359423) | 10.413191 / 10.191392 (0.221799) | 0.156813 / 0.680424 (-0.523611) | 0.015446 / 0.534201 (-0.518755) | 0.301935 / 0.579283 (-0.277348) | 0.133655 / 0.434364 (-0.300709) | 0.340296 / 0.540337 (-0.200041) | 0.466314 / 1.386936 (-0.920622) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#6cf563fd57807e923a29ebbe327fecb4ef969877 \"CML watermark\")\n",
"Hi @lhoestq,\r\n\r\nI was confused by `legacy` prefix added to the [image data loading](https://huggingface.co/docs/datasets/main/en/image_dataset#legacy-loading-script) script section. I have a custom image dataset and have looked through the documentation to find something similar but can't find a good alternative What is now the recommend way to create a custom image dataset then? I want the HF format but will not host it on the hub.\r\n\r\nApologies in advance if this is the wrong place to ask such questions...",
"We stopped making new features for datasets with scripts for obvious security reasons, that's why they are marked as \"legacy\". What is blocking you from hosting on HF ?",
"Hi, thanks for the prompt answer :) I am working on proprietary datasets for the company where I am employed. We want to keep the data in-house but would like to investigate the use of the HF ecosystem.",
"I see ! Note that it's possible to have private repos on HF (+ dataset viewer) and you can even choose the storage region, if it can help"
] | 2024-06-24T14:45:28 | 2024-07-08T13:10:53 | 2024-06-27 09:31:21+00:00 | MEMBER | nan | + mark as legacy in some parts of the docs since we'll not build new features for script datasets | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6993/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6993/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6993', 'html_url': 'https://github.com/huggingface/datasets/pull/6993', 'diff_url': 'https://github.com/huggingface/datasets/pull/6993.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6993.patch', 'merged_at': '2024-06-27T09:31:21Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6992 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6992/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6992/comments | https://api.github.com/repos/huggingface/datasets/issues/6992/events | https://github.com/huggingface/datasets/issues/6992 | 2367890622 | I_kwDODunzps6NIyS- | 6992 | Dataset with streaming doesn't work with proxy | {'login': 'YHL04', 'id': 57779173, 'node_id': 'MDQ6VXNlcjU3Nzc5MTcz', 'avatar_url': 'https://avatars.githubusercontent.com/u/57779173?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/YHL04', 'html_url': 'https://github.com/YHL04', 'followers_url': 'https://api.github.com/users/YHL04/followers', 'following_url': 'https://api.github.com/users/YHL04/following{/other_user}', 'gists_url': 'https://api.github.com/users/YHL04/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/YHL04/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/YHL04/subscriptions', 'organizations_url': 'https://api.github.com/users/YHL04/orgs', 'repos_url': 'https://api.github.com/users/YHL04/repos', 'events_url': 'https://api.github.com/users/YHL04/events{/privacy}', 'received_events_url': 'https://api.github.com/users/YHL04/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"Hi ! can you try updating `datasets` and `huggingface_hub` ?\r\n\r\n```\r\npip install -U datasets huggingface_hub\r\n```"
] | 2024-06-22T16:12:08 | 2024-06-25T15:43:05 | NaT | NONE | nan | ### Describe the bug
I'm currently trying to stream data using dataset since the dataset is too big but it hangs indefinitely without loading the first batch. I use AIMOS which is a supercomputer that uses proxy to connect to the internet. I assume it has to do with the network configurations. I've already set up both HTTP_PROXY and HTTPS_PROXY. streaming = False works fine.
### Steps to reproduce the bug
use load_dataset with streaming = True in AIMOS
### Expected behavior
does not hang indefinitely and loads batches to start training run
### Environment info
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
_pytorch_select 2.0 cuda_2 https://ftp.osuosl.org/pub/open-ce/1.10.0
abseil-cpp 20220623.0 h9888cd1_6 conda-forge
absl-py 1.0.0 py311h399429b_0 https://ftp.osuosl.org/pub/open-ce/1.10.0
aiofiles 23.2.1 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.6 py311hf118e41_0
aiosignal 1.2.0 pyhd3eb1b0_0
archspec 0.2.3 pyhd8ed1ab_0 conda-forge
arrow-cpp 11.0.0 ha3edaa6_5_cpu conda-forge
async-timeout 4.0.2 py311h6ffa863_0
attrs 23.1.0 py311h6ffa863_0
av 10.0.0 py311he6153ed_2 https://ftp.osuosl.org/pub/open-ce/1.10.0
aws-c-auth 0.6.24 hb81f6d7_5 conda-forge
aws-c-cal 0.5.20 h3c2b4d9_6 conda-forge
aws-c-common 0.8.11 h4194056_0 conda-forge
aws-c-compression 0.2.16 ha19333d_3 conda-forge
aws-c-event-stream 0.2.18 h12a9399_6 conda-forge
aws-c-http 0.7.4 ha2cde00_2 conda-forge
aws-c-io 0.13.17 h9189062_2 conda-forge
aws-c-mqtt 0.8.6 h40d1a04_6 conda-forge
aws-c-s3 0.2.4 hbdbe4f0_3 conda-forge
aws-c-sdkutils 0.1.7 ha19333d_3 conda-forge
aws-checksums 0.1.14 ha19333d_3 conda-forge
aws-crt-cpp 0.19.7 hd018011_7 conda-forge
aws-sdk-cpp 1.10.57 hb9575ba_4 conda-forge
blas 1.0 openblas
blinker 1.8.2 pyhd8ed1ab_0 conda-forge
boltons 23.0.0 py311h6ffa863_0
boost-cpp 1.82.0 h25e6d66_2
bottleneck 1.3.5 py311h34f6284_0
brotli 1.0.9 hf118e41_7
brotli-bin 1.0.9 hf118e41_7
brotli-python 1.0.9 py311h4a02239_7
bzip2 1.0.8 h7b6447c_0
c-ares 1.19.1 hf118e41_0
ca-certificates 2024.6.2 h0f6029e_0 conda-forge
cachetools 5.3.3 pyhd8ed1ab_0 conda-forge
certifi 2024.6.2 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py311hf118e41_3
charset-normalizer 2.0.4 pyhd3eb1b0_0
click 8.1.7 unix_pyh707e725_0 conda-forge
conda 24.5.0 py311h1af927a_0 conda-forge
conda-content-trust 0.2.0 py311h6ffa863_0
conda-libmamba-solver 23.11.1 py311h6ffa863_0
conda-package-handling 2.2.0 py311h6ffa863_0
conda-package-streaming 0.9.0 py311h6ffa863_0
contourpy 1.0.5 py311h25e6d66_0
cryptography 41.0.3 py311hb0e80e7_0
cudatoolkit 11.8.0 hedcfb66_13 conda-forge
cudnn 8.9.2_11.8 h9ceb136_1 https://ftp.osuosl.org/pub/open-ce/1.10.0
cycler 0.11.0 pyhd3eb1b0_0
datasets 2.12.0 py311h6ffa863_0
dill 0.3.6 py311h6ffa863_0
distro 1.9.0 pyhd8ed1ab_0 conda-forge
ffmpeg 4.2.2 opence_0 https://ftp.osuosl.org/pub/open-ce/1.10.0
filelock 3.9.0 py311h6ffa863_0
fmt 9.1.0 h25e6d66_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 hd23a775_0
frozendict 2.4.4 py311hb02d432_0 conda-forge
frozenlist 1.4.0 py311hf118e41_0
fsspec 2023.9.2 py311h6ffa863_0
gflags 2.2.2 he6710b0_0
giflib 5.2.1 hf118e41_3
glog 0.6.0 hbe088e0_0 conda-forge
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zstd 1.5.5 h57e4825_0 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6992/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6992/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6991 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6991/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6991/comments | https://api.github.com/repos/huggingface/datasets/issues/6991/events | https://github.com/huggingface/datasets/pull/6991 | 2367711094 | PR_kwDODunzps5zPoQs | 6991 | Unblock NumPy 2.0 | {'login': 'NeilGirdhar', 'id': 730137, 'node_id': 'MDQ6VXNlcjczMDEzNw==', 'avatar_url': 'https://avatars.githubusercontent.com/u/730137?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/NeilGirdhar', 'html_url': 'https://github.com/NeilGirdhar', 'followers_url': 'https://api.github.com/users/NeilGirdhar/followers', 'following_url': 'https://api.github.com/users/NeilGirdhar/following{/other_user}', 'gists_url': 'https://api.github.com/users/NeilGirdhar/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/NeilGirdhar/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/NeilGirdhar/subscriptions', 'organizations_url': 'https://api.github.com/users/NeilGirdhar/orgs', 'repos_url': 'https://api.github.com/users/NeilGirdhar/repos', 'events_url': 'https://api.github.com/users/NeilGirdhar/events{/privacy}', 'received_events_url': 'https://api.github.com/users/NeilGirdhar/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6991). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@albertvillanova Any chance we could get this in before the next release? Everything depending on HuggingFace has their NumPy upgrade blocked.",
"The incompatible libraries are:\r\n- faiss-cpu 1.8.0.post1 requires numpy<2.0,>=1.0, but you have numpy 2.0.0 which is incompatible.\r\n- tensorflow 2.16.2 requires numpy<2.0.0,>=1.23.5; python_version <= \"3.11\", but you have numpy 2.0.0 which is incompatible.\r\n- transformers 4.42.3 requires numpy<2.0,>=1.17, but you have numpy 2.0.0 which is incompatible.",
"Why is it installing numpy 2 if the dependencies don't support it?",
"For me, I'm getting:\r\n```\r\n❯ uv pip install --system \"datasets[tests] @ .\"\r\nFound existing alias for \"uv pip install\". You should use: \"pipi\"\r\nResolved 119 packages in 934ms\r\n Built datasets @ file:///Users/neil/src/datasets\r\nPrepared 1 package in 1.28s\r\nUninstalled 1 package in 10ms\r\nInstalled 2 packages in 17ms\r\n - datasets==2.20.1.dev0 (from file:///Users/neil/src/datasets)\r\n + datasets==2.20.1.dev0 (from file:///Users/neil/src/datasets)\r\n + numpy==1.26.4\r\n```",
"Which version on Python do you have?",
"3.12.4 I'll try on 3.10 now.",
"Please, note that I obtained the previous incompatible libraries in my local environment, by forcing the update of numpy.",
"In the Python 3.10 CI, the situation is different:\r\n- for example, they install an older version of tensorflow (2.14.0), where probably the constraint on numpy was not yet implemented. See the details: https://github.com/huggingface/datasets/actions/runs/9879100332/job/27306903343?pr=6991\r\n```\r\n> uv pip install --system \"datasets[tests] @ .\"\r\n...\r\n + faiss-cpu==1.8.0\r\n...\r\n + numpy==2.0.0\r\n...\r\n + tensorflow==2.14.0\r\n```\r\n\r\nSee, CI installs:\r\n- faiss-cpu 1.8.0 instead of 1.8.0.post1\r\n- tensorflow 2.14.0 instead of 2.16.2\r\n- transformers 4.41.2 instead of 4.42.3",
"~~The main point is that we cannot support numpy 2.0 until tensorflow and faiss do.~~\r\n\r\nAlternatively, we should ignore/select tests depending on the installed versions.",
"> Alternatively, we should ignore/select tests depending on the installed versions.\r\n\r\nThat works.\r\n\r\nAlternatively, you could depend on tensorflow >= 2.16.2 (etc.) for the tests?",
"Yes, I was thinking of a workaround solution.\r\n\r\nThe issue I see is that our CI will not test numpy 2.0 indeed.",
"> The issue I see is that our CI will not test numpy 2.0 indeed.\r\n\r\nRight, that's the advantage of the test skipping you wanted, I see your point.\r\n\r\nThing is, it won't be long before tensorflow supports numpy 2.0, and then the situation is resolved and your tests test numpy 2.0. Do you really want to invest a lot of effort into testing numpy 2.0 for a few months benefit?",
"Without testing Numpy 2.0, we do not know if there are some other parts in the code broken.",
"> Without testing Numpy 2.0, we do not know if there are some other parts in the code broken.\r\n\r\nYes, you're right. I understand you're point, but you could say this for anything that your test dependencies don't support.\r\n\r\nI guess the solution is to write tests that don't depend on tensorflow, etc., but still use numpy. You could write some Jax tests for example.\r\n\r\nThat said, blocking numpy 2 isn't a good solution in my opinion. These dependencies are extremely late in supporting Numpy 2. They were supposed to be testing against preview releases over three months ago. I don't think the world should have to wait for them."
] | 2024-06-22T09:19:53 | 2024-07-11T12:38:27 | NaT | NONE | nan | Fixes https://github.com/huggingface/datasets/issues/6980 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6991/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6991/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6991', 'html_url': 'https://github.com/huggingface/datasets/pull/6991', 'diff_url': 'https://github.com/huggingface/datasets/pull/6991.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6991.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/6990 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6990/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6990/comments | https://api.github.com/repos/huggingface/datasets/issues/6990/events | https://github.com/huggingface/datasets/issues/6990 | 2366660785 | I_kwDODunzps6NEGCx | 6990 | Problematic rank after calling `split_dataset_by_node` twice | {'login': 'yzhangcs', 'id': 18402347, 'node_id': 'MDQ6VXNlcjE4NDAyMzQ3', 'avatar_url': 'https://avatars.githubusercontent.com/u/18402347?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/yzhangcs', 'html_url': 'https://github.com/yzhangcs', 'followers_url': 'https://api.github.com/users/yzhangcs/followers', 'following_url': 'https://api.github.com/users/yzhangcs/following{/other_user}', 'gists_url': 'https://api.github.com/users/yzhangcs/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/yzhangcs/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/yzhangcs/subscriptions', 'organizations_url': 'https://api.github.com/users/yzhangcs/orgs', 'repos_url': 'https://api.github.com/users/yzhangcs/repos', 'events_url': 'https://api.github.com/users/yzhangcs/events{/privacy}', 'received_events_url': 'https://api.github.com/users/yzhangcs/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"ah yes good catch ! feel free to open a PR with your suggested fix"
] | 2024-06-21T14:25:26 | 2024-06-25T16:19:19 | 2024-06-25 16:19:19+00:00 | CONTRIBUTOR | nan | ### Describe the bug
I'm trying to split `IterableDataset` by `split_dataset_by_node`.
But when doing split on a already split dataset, the resulting `rank` is greater than `world_size`.
### Steps to reproduce the bug
Here is the minimal code for reproduction:
```py
>>> from datasets import load_dataset
>>> from datasets.distributed import split_dataset_by_node
>>> dataset = load_dataset('fla-hub/slimpajama-test', split='train', streaming=True)
>>> dataset = split_dataset_by_node(dataset, 1, 32)
>>> dataset._distributed
DistributedConfig(rank=1, world_size=32)
>>> dataset = split_dataset_by_node(dataset, 1, 15)
>>> dataset._distributed
DistributedConfig(rank=481, world_size=480)
```
As you can see, the second rank 481 > 480, which is problematic.
### Expected behavior
I think this error comes from this line @lhoestq
https://github.com/huggingface/datasets/blob/a6ccf944e42c1a84de81bf326accab9999b86c90/src/datasets/iterable_dataset.py#L2943-L2944
We may need to obtain the rank first. Then the above code gives
```py
>>> dataset._distributed
DistributedConfig(rank=16, world_size=480)
```
### Environment info
datasets==2.20.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6990/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6990/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6989 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6989/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6989/comments | https://api.github.com/repos/huggingface/datasets/issues/6989/events | https://github.com/huggingface/datasets/issues/6989 | 2365556449 | I_kwDODunzps6M_4bh | 6989 | cache in nfs error | {'login': 'simplew2011', 'id': 66729924, 'node_id': 'MDQ6VXNlcjY2NzI5OTI0', 'avatar_url': 'https://avatars.githubusercontent.com/u/66729924?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/simplew2011', 'html_url': 'https://github.com/simplew2011', 'followers_url': 'https://api.github.com/users/simplew2011/followers', 'following_url': 'https://api.github.com/users/simplew2011/following{/other_user}', 'gists_url': 'https://api.github.com/users/simplew2011/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/simplew2011/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/simplew2011/subscriptions', 'organizations_url': 'https://api.github.com/users/simplew2011/orgs', 'repos_url': 'https://api.github.com/users/simplew2011/repos', 'events_url': 'https://api.github.com/users/simplew2011/events{/privacy}', 'received_events_url': 'https://api.github.com/users/simplew2011/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [] | 2024-06-21T02:09:22 | 2024-06-21T02:12:55 | NaT | NONE | nan | ### Describe the bug
- When reading dataset, a cache will be generated to the ~/. cache/huggingface/datasets directory
- When using .map and .filter operations, runtime cache will be generated to the /tmp/hf_datasets-* directory
- The default is to use the path of tempfile.tempdir
- If I modify this path to the NFS disk, an error will be reported, but the program will continue to run
- https://github.com/huggingface/datasets/blob/main/src/datasets/config.py#L257
```
Traceback (most recent call last):
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/process.py", line 315, in _bootstrap
self.run()
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/managers.py", line 616, in _run_server
server.serve_forever()
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/managers.py", line 182, in serve_forever
sys.exit(0)
SystemExit: 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/util.py", line 300, in _run_finalizers
finalizer()
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/util.py", line 224, in __call__
res = self._callback(*self._args, **self._kwargs)
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/util.py", line 133, in _remove_temp_dir
rmtree(tempdir)
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/shutil.py", line 718, in rmtree
_rmtree_safe_fd(fd, path, onerror)
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/shutil.py", line 675, in _rmtree_safe_fd
onerror(os.unlink, fullname, sys.exc_info())
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/shutil.py", line 673, in _rmtree_safe_fd
os.unlink(entry.name, dir_fd=topfd)
OSError: [Errno 16] Device or resource busy: '.nfs000000038330a012000030b4'
Traceback (most recent call last):
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/process.py", line 315, in _bootstrap
self.run()
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/managers.py", line 616, in _run_server
server.serve_forever()
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/managers.py", line 182, in serve_forever
sys.exit(0)
SystemExit: 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/util.py", line 300, in _run_finalizers
finalizer()
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/util.py", line 224, in __call__
res = self._callback(*self._args, **self._kwargs)
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/site-packages/multiprocess/util.py", line 133, in _remove_temp_dir
rmtree(tempdir)
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/shutil.py", line 718, in rmtree
_rmtree_safe_fd(fd, path, onerror)
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/shutil.py", line 675, in _rmtree_safe_fd
onerror(os.unlink, fullname, sys.exc_info())
File "/home/wzp/miniconda3/envs/dask/lib/python3.8/shutil.py", line 673, in _rmtree_safe_fd
os.unlink(entry.name, dir_fd=topfd)
OSError: [Errno 16] Device or resource busy: '.nfs0000000400064d4a000030e5'
```
### Steps to reproduce the bug
```
import os
import time
import tempfile
from datasets import load_dataset
def add_column(sample):
# print(type(sample))
# time.sleep(0.1)
sample['__ds__stats__'] = {'data': 123}
return sample
def filt_column(sample):
# print(type(sample))
if len(sample['content']) > 10:
return True
else:
return False
if __name__ == '__main__':
input_dir = '/mnt/temp/CN/small' # some json dataset
dataset = load_dataset('json', data_dir=input_dir)
temp_dir = '/media/release/release/temp/temp' # a nfs folder
os.makedirs(temp_dir, exist_ok=True)
# change huggingface-datasets runtime cache in nfs（default in /tmp）
tempfile.tempdir = temp_dir
aa = dataset.map(add_column, num_proc=64)
aa = aa.filter(filt_column, num_proc=64)
print(aa)
```
### Expected behavior
no error occur
### Environment info
datasets==2.18.0
ubuntu 20.04 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6989/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6989/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6988 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6988/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6988/comments | https://api.github.com/repos/huggingface/datasets/issues/6988/events | https://github.com/huggingface/datasets/pull/6988 | 2364129918 | PR_kwDODunzps5zDpXX | 6988 | [`feat`] Move dataset card creation to method for easier overriding | {'login': 'tomaarsen', 'id': 37621491, 'node_id': 'MDQ6VXNlcjM3NjIxNDkx', 'avatar_url': 'https://avatars.githubusercontent.com/u/37621491?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/tomaarsen', 'html_url': 'https://github.com/tomaarsen', 'followers_url': 'https://api.github.com/users/tomaarsen/followers', 'following_url': 'https://api.github.com/users/tomaarsen/following{/other_user}', 'gists_url': 'https://api.github.com/users/tomaarsen/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/tomaarsen/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/tomaarsen/subscriptions', 'organizations_url': 'https://api.github.com/users/tomaarsen/orgs', 'repos_url': 'https://api.github.com/users/tomaarsen/repos', 'events_url': 'https://api.github.com/users/tomaarsen/events{/privacy}', 'received_events_url': 'https://api.github.com/users/tomaarsen/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6988). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"`Dataset` objects are not made to be subclassed, so I don't think going in that direction is a good idea. In particular there is absolutely no test to make sure it works well, and nothing in the internal has been made to anticipate this use case.\r\n\r\nI'd suggest to use a separate function to push changes to the Dataset card, and call it after `push_to_hub()`. This way people can also use a similar logic with other tools that `datasets`. You can also use composition instead of subclassing.",
"Would you consider an alternative where a Dataset instance carries a dataset card template which can be updated?\n\nI don't want to burden my users with having to call another method after `push_to_hub` themselves. If you're not a fan of the template approach above either, then I'll likely subclass `push_to_hub` to once again download the just-uploaded-but-empty dataset card, update it, and reupload it. It'll just be a bit more requests than necessary, but not a big deal overall.\n\n- Tom Aarsen ",
"Actually I find the idea of overriding `_create_dataset_card` better than implementing a templating logic. My main concern is that if we go in that direction we better make sure that subclasses of `Dataset` are working well. \r\n\r\nWell if it's been working fine on your side why not, but make sure you test correctly features that could not work because of subclassing (e.g. I'm pretty sure `map()` won't return your subclass of `Dataset`). Or at least the ones that matter for your lib.\r\n\r\nIf it sounds good to you I'm fine with merging your addition to let you override the dataset card.",
"> e.g. I'm pretty sure map() won't return your subclass of Dataset\r\n\r\nI understand that there's limitations such as this one. The subclass doesn't have to be robust - I'd just like some simple automatic dataset card generation options directly after generating the dataset. This can be removed if the user does additional steps before pushing the model, e.g. mapping, filtering, saving to disk and uploading the loaded dataset, etc.\r\n\r\n> If it sounds good to you I'm fine with merging your addition to let you override the dataset card.\r\n\r\nThat would be quite useful for me! I appreciate it.\r\n\r\nI'm not very sure what the test failures are caused by, I believe the only change in behaviour is that\r\n```python\r\n DatasetInfosDict({config_name: info_to_dump}).to_dataset_card_data(dataset_card_data)\r\n MetadataConfigs({config_name: metadata_config_to_dump}).to_dataset_card_data(dataset_card_data)\r\n```\r\nare not called when `dataset_card` was already defined. Unless these have side-effects other than updating `dataset_card_data`, it shouldn't be any different than `main`.\r\n\r\n- Tom Aarsen",
"Let's try to have this PR merged then !\r\n\r\nIMO your current implementation can be improved since you path both the dataset card data and the dataset card itself, which is redundant. Also I anticipate the failures in the CI to come from your default implementation which doesn't correspond to what it was doing before\r\n\r\n> Unless these have side-effects other than updating dataset_card_data, it shouldn't be any different than main.\r\n\r\nIndeed the dataset_card_data is the value from attribute of the dataset_card from a few lines before your changes, so yes it modifies the dataset_card object too."
] | 2024-06-20T10:47:57 | 2024-06-21T16:04:58 | NaT | MEMBER | nan | Hello!
## Pull Request overview
* Move dataset card creation to method for easier overriding
## Details
It's common for me to fully automatically download, reformat, and upload a dataset (e.g. see https://huggingface.co/datasets?other=sentence-transformers), but one aspect that I cannot easily automate is the dataset card generation. This is because during `push_to_hub`, the dataset card is created in 3 lines of code in a much larger method. To automatically generate a dataset card, I need to either:
1. Subclass `Dataset`/`DatasetDict`, copy the entire `push_to_hub` method to override the ~3 lines used to generate the dataset card. This is not viable as the method is likely to change over time.
2. Use `push_to_hub` normally, then separately download the pushed (but empty) dataset card, update it, and reupload the modified dataset. This works fine, but prevents me from being able to return a `Dataset` to my users which will automatically use a nice dataset card.
So, in this PR I'm proposing to move the dataset generation into another method so that it can be overridden more easily. For example, imagine the following use case:
````python
import json
from typing import Any, Dict, Optional
from datasets import Dataset, load_dataset
from datasets.info import DatasetInfosDict, DatasetInfo
from datasets.utils.metadata import MetadataConfigs
from huggingface_hub import DatasetCardData, DatasetCard
TEMPLATE = r"""---
{dataset_card_data}
---
# Dataset Card for {source_dataset_name} with mined hard negatives
This dataset is a collection of {column_one}-{column_two}-negative triplets from the {source_dataset_name} dataset. See [{source_dataset_name}](https://huggingface.co/datasets/{source_dataset_id}) for additional information. This dataset can be used directly with Sentence Transformers to train embedding models.
## Mining Parameters
The negative samples have been mined using the following parameters:
- `range_min`: {range_min}, i.e. we skip the {range_min} most similar samples
- `range_max`: {range_max}, i.e. we only look at the top {range_max} most similar samples
- `margin`: {margin}, i.e. we require negative similarity + margin < positive similarity, so negative samples can't be more similar than the known true answer
- `sampling_strategy`: {sampling_strategy}, i.e. whether to randomly sample from the candidate negatives or take the "top" negatives
- `num_negatives`: {num_negatives}, i.e. we mine {num_negatives} negatives per question-answer pair
## Dataset Format
- Columns: {column_one}, {column_two}, negative
- Column types: str, str, str
- Example:
```python
{example}
```
"""
class HNMDataset(Dataset):
@classmethod
def from_dict(cls, *args, mining_kwargs: Dict[str, Any], **kwargs) -> "HNMDataset":
dataset = super().from_dict(*args, **kwargs)
dataset.mining_kwargs = mining_kwargs
return dataset
def _create_dataset_card(
self,
dataset_card_data: DatasetCardData,
dataset_card: Optional[DatasetCard],
config_name: str,
info_to_dump: DatasetInfo,
metadata_config_to_dump: MetadataConfigs,
) -> DatasetCard:
if dataset_card:
return dataset_card
DatasetInfosDict({config_name: info_to_dump}).to_dataset_card_data(dataset_card_data)
MetadataConfigs({config_name: metadata_config_to_dump}).to_dataset_card_data(dataset_card_data)
dataset_card_data.tags = ["sentence-transformers"]
dataset_name = self.mining_kwargs["source_dataset"].info.dataset_name
# Very messy, just as an example:
dataset_id = list(self.mining_kwargs["source_dataset"].info.download_checksums.keys())[0].removeprefix("hf://datasets/").split("@")[0]
content = TEMPLATE.format(**{
"dataset_card_data": str(dataset_card_data),
"source_dataset_name": dataset_name,
"source_dataset_id": dataset_id,
"range_min": self.mining_kwargs["range_min"],
"range_max": self.mining_kwargs["range_max"],
"margin": self.mining_kwargs["margin"],
"sampling_strategy": self.mining_kwargs["sampling_strategy"],
"num_negatives": self.mining_kwargs["num_negatives"],
"column_one": self.column_names[0],
"column_two": self.column_names[1],
"example": json.dumps(self[0], indent=4),
})
return DatasetCard(content)
source_dataset = load_dataset("sentence-transformers/gooaq", split="train[:100]")
dataset = HNMDataset.from_dict({
"query": source_dataset["question"],
"answer": source_dataset["answer"],
# "negative": ... <- In my case, this column would be 'mined' automatically with these parameters
}, mining_kwargs={
"range_min": 10,
"range_max": 20,
"max_score": 0.9,
"margin": 0.1,
"sampling_strategy": "random",
"num_negatives": 3,
"source_dataset": source_dataset,
})
dataset.push_to_hub("tomaarsen/mining_demo", private=True)
````
In this script, I've created a subclass which stores some additional information about how the dataset was generated. It's a bit hacky (e.g. setting a `mining_kwargs` parameter in `from_dict` that wasn't created in `__init__`, but that's just a consequence of how the `from_...` methods don't accept kwargs), but it allows me to create a "hard negatives mining" function that returns a dataset which people can use locally like normal, but if they choose to upload it, then it'll automatically include some information, e.g.: https://huggingface.co/datasets/tomaarsen/mining_demo
This allows others to actually find this dataset (e.g. via the `sentence-transformers` tag) and get an idea of the quality, source, etc. by looking at the model card.
## Note
I'm not fixed on this solution whatsoever: I am also completely fine with other solutions, e.g. a `dataset.set_dataset_card_creator` method that allows me to provide a function without even having to subclass anything. I'm open to all ideas :)
cc @albertvillanova @lhoestq
cc @LysandreJik
- Tom Aarsen | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6988/reactions', 'total_count': 1, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 1} | https://api.github.com/repos/huggingface/datasets/issues/6988/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6988', 'html_url': 'https://github.com/huggingface/datasets/pull/6988', 'diff_url': 'https://github.com/huggingface/datasets/pull/6988.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6988.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/6987 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6987/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6987/comments | https://api.github.com/repos/huggingface/datasets/issues/6987/events | https://github.com/huggingface/datasets/pull/6987 | 2363728190 | PR_kwDODunzps5zCRH6 | 6987 | Remove beam | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | {'url': 'https://api.github.com/repos/huggingface/datasets/milestones/10', 'html_url': 'https://github.com/huggingface/datasets/milestone/10', 'labels_url': 'https://api.github.com/repos/huggingface/datasets/milestones/10/labels', 'id': 9038583, 'node_id': 'MI_kwDODunzps4Aier3', 'number': 10, 'title': '3.0', 'description': 'Next major release', 'creator': {'login': 'mariosasko', 'id': 47462742, 'node_id': 'MDQ6VXNlcjQ3NDYyNzQy', 'avatar_url': 'https://avatars.githubusercontent.com/u/47462742?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/mariosasko', 'html_url': 'https://github.com/mariosasko', 'followers_url': 'https://api.github.com/users/mariosasko/followers', 'following_url': 'https://api.github.com/users/mariosasko/following{/other_user}', 'gists_url': 'https://api.github.com/users/mariosasko/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/mariosasko/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/mariosasko/subscriptions', 'organizations_url': 'https://api.github.com/users/mariosasko/orgs', 'repos_url': 'https://api.github.com/users/mariosasko/repos', 'events_url': 'https://api.github.com/users/mariosasko/events{/privacy}', 'received_events_url': 'https://api.github.com/users/mariosasko/received_events', 'type': 'User', 'site_admin': False}, 'open_issues': 5, 'closed_issues': 3, 'state': 'open', 'created_at': '2023-02-13T16:22:42Z', 'updated_at': '2024-06-28T06:51:30Z', 'due_on': None, 'closed_at': None} | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6987). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005931 / 0.011353 (-0.005422) | 0.004127 / 0.011008 (-0.006881) | 0.063854 / 0.038508 (0.025346) | 0.034687 / 0.023109 (0.011577) | 0.251397 / 0.275898 (-0.024501) | 0.280348 / 0.323480 (-0.043132) | 0.005008 / 0.007986 (-0.002977) | 0.002930 / 0.004328 (-0.001398) | 0.050703 / 0.004250 (0.046452) | 0.047109 / 0.037052 (0.010057) | 0.258525 / 0.258489 (0.000035) | 0.288759 / 0.293841 (-0.005081) | 0.030547 / 0.128546 (-0.097999) | 0.102184 / 0.075646 (0.026537) | 0.207934 / 0.419271 (-0.211338) | 0.036477 / 0.043533 (-0.007056) | 0.338160 / 0.255139 (0.083021) | 0.310735 / 0.283200 (0.027535) | 0.018637 / 0.141683 (-0.123045) | 1.228539 / 1.452155 (-0.223616) | 1.168004 / 1.492716 (-0.324713) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.098355 / 0.018006 (0.080348) | 0.302310 / 0.000490 (0.301820) | 0.000215 / 0.000200 (0.000015) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019607 / 0.037411 (-0.017804) | 0.063795 / 0.014526 (0.049269) | 0.075029 / 0.176557 (-0.101528) | 0.121293 / 0.737135 (-0.615842) | 0.076480 / 0.296338 (-0.219858) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.285285 / 0.215209 (0.070076) | 2.747455 / 2.077655 (0.669801) | 1.454190 / 1.504120 (-0.049929) | 1.330777 / 1.541195 (-0.210418) | 1.358292 / 1.468490 (-0.110198) | 0.724991 / 4.584777 (-3.859786) | 2.374889 / 3.745712 (-1.370823) | 2.985868 / 5.269862 (-2.283994) | 1.921521 / 4.565676 (-2.644156) | 0.078589 / 0.424275 (-0.345686) | 0.005104 / 0.007607 (-0.002503) | 0.333898 / 0.226044 (0.107853) | 3.317702 / 2.268929 (1.048773) | 1.887161 / 55.444624 (-53.557463) | 1.510700 / 6.876477 (-5.365777) | 1.544175 / 2.142072 (-0.597898) | 0.804262 / 4.805227 (-4.000965) | 0.134015 / 6.500664 (-6.366649) | 0.042819 / 0.075469 (-0.032650) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.012142 / 1.841788 (-0.829645) | 11.861780 / 8.074308 (3.787472) | 9.797285 / 10.191392 (-0.394107) | 0.142114 / 0.680424 (-0.538310) | 0.013984 / 0.534201 (-0.520217) | 0.302412 / 0.579283 (-0.276871) | 0.265060 / 0.434364 (-0.169304) | 0.337510 / 0.540337 (-0.202828) | 0.432197 / 1.386936 (-0.954739) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005920 / 0.011353 (-0.005433) | 0.003991 / 0.011008 (-0.007017) | 0.049874 / 0.038508 (0.011366) | 0.033771 / 0.023109 (0.010662) | 0.264789 / 0.275898 (-0.011109) | 0.287554 / 0.323480 (-0.035926) | 0.004341 / 0.007986 (-0.003644) | 0.002888 / 0.004328 (-0.001441) | 0.049383 / 0.004250 (0.045133) | 0.040757 / 0.037052 (0.003704) | 0.286067 / 0.258489 (0.027578) | 0.311105 / 0.293841 (0.017264) | 0.031482 / 0.128546 (-0.097064) | 0.012358 / 0.075646 (-0.063288) | 0.060298 / 0.419271 (-0.358973) | 0.033237 / 0.043533 (-0.010296) | 0.265804 / 0.255139 (0.010665) | 0.281273 / 0.283200 (-0.001927) | 0.017879 / 0.141683 (-0.123804) | 1.154059 / 1.452155 (-0.298096) | 1.156758 / 1.492716 (-0.335958) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004677 / 0.018006 (-0.013329) | 0.300768 / 0.000490 (0.300278) | 0.000212 / 0.000200 (0.000013) | 0.000043 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023032 / 0.037411 (-0.014379) | 0.077498 / 0.014526 (0.062973) | 0.089134 / 0.176557 (-0.087422) | 0.129691 / 0.737135 (-0.607444) | 0.091372 / 0.296338 (-0.204967) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.290823 / 0.215209 (0.075613) | 2.873159 / 2.077655 (0.795504) | 1.563361 / 1.504120 (0.059241) | 1.447048 / 1.541195 (-0.094147) | 1.490473 / 1.468490 (0.021983) | 0.715642 / 4.584777 (-3.869135) | 0.996223 / 3.745712 (-2.749489) | 2.861466 / 5.269862 (-2.408396) | 1.915581 / 4.565676 (-2.650096) | 0.077892 / 0.424275 (-0.346383) | 0.005463 / 0.007607 (-0.002144) | 0.339670 / 0.226044 (0.113626) | 3.412830 / 2.268929 (1.143902) | 1.908676 / 55.444624 (-53.535949) | 1.625358 / 6.876477 (-5.251119) | 1.769437 / 2.142072 (-0.372635) | 0.792505 / 4.805227 (-4.012722) | 0.133007 / 6.500664 (-6.367657) | 0.041305 / 0.075469 (-0.034164) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.986882 / 1.841788 (-0.854905) | 12.368101 / 8.074308 (4.293793) | 10.367439 / 10.191392 (0.176047) | 0.141248 / 0.680424 (-0.539176) | 0.016144 / 0.534201 (-0.518057) | 0.300962 / 0.579283 (-0.278321) | 0.126863 / 0.434364 (-0.307501) | 0.341107 / 0.540337 (-0.199230) | 0.439819 / 1.386936 (-0.947117) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#b2754625d45e153bd9758af40e65e7545321fc2a \"CML watermark\")\n"
] | 2024-06-20T07:27:14 | 2024-06-26T19:41:55 | 2024-06-26 19:35:42+00:00 | MEMBER | nan | Remove beam, as part of the 3.0 release. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6987/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6987/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6987', 'html_url': 'https://github.com/huggingface/datasets/pull/6987', 'diff_url': 'https://github.com/huggingface/datasets/pull/6987.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6987.patch', 'merged_at': '2024-06-26T19:35:42Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6986 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6986/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6986/comments | https://api.github.com/repos/huggingface/datasets/issues/6986/events | https://github.com/huggingface/datasets/pull/6986 | 2362584179 | PR_kwDODunzps5y-Zi0 | 6986 | Add large_list type support in string_to_arrow | {'login': 'arthasking123', 'id': 16257131, 'node_id': 'MDQ6VXNlcjE2MjU3MTMx', 'avatar_url': 'https://avatars.githubusercontent.com/u/16257131?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/arthasking123', 'html_url': 'https://github.com/arthasking123', 'followers_url': 'https://api.github.com/users/arthasking123/followers', 'following_url': 'https://api.github.com/users/arthasking123/following{/other_user}', 'gists_url': 'https://api.github.com/users/arthasking123/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/arthasking123/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/arthasking123/subscriptions', 'organizations_url': 'https://api.github.com/users/arthasking123/orgs', 'repos_url': 'https://api.github.com/users/arthasking123/repos', 'events_url': 'https://api.github.com/users/arthasking123/events{/privacy}', 'received_events_url': 'https://api.github.com/users/arthasking123/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [
"@albertvillanova @KennethEnevoldsen"
] | 2024-06-19T14:54:25 | 2024-06-20T05:57:58 | NaT | NONE | nan | add large_list type support in string_to_arrow() and _arrow_to_datasets_dtype() in features.py
Fix #6984
| {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6986/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6986/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6986', 'html_url': 'https://github.com/huggingface/datasets/pull/6986', 'diff_url': 'https://github.com/huggingface/datasets/pull/6986.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6986.patch', 'merged_at': None} | true |
https://api.github.com/repos/huggingface/datasets/issues/6985 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6985/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6985/comments | https://api.github.com/repos/huggingface/datasets/issues/6985/events | https://github.com/huggingface/datasets/issues/6985 | 2362378276 | I_kwDODunzps6Mzwgk | 6985 | AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType' | {'login': 'firmai', 'id': 26666267, 'node_id': 'MDQ6VXNlcjI2NjY2MjY3', 'avatar_url': 'https://avatars.githubusercontent.com/u/26666267?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/firmai', 'html_url': 'https://github.com/firmai', 'followers_url': 'https://api.github.com/users/firmai/followers', 'following_url': 'https://api.github.com/users/firmai/following{/other_user}', 'gists_url': 'https://api.github.com/users/firmai/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/firmai/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/firmai/subscriptions', 'organizations_url': 'https://api.github.com/users/firmai/orgs', 'repos_url': 'https://api.github.com/users/firmai/repos', 'events_url': 'https://api.github.com/users/firmai/events{/privacy}', 'received_events_url': 'https://api.github.com/users/firmai/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"Please note that the error is raised just at import:\r\n```python\r\nimport pyarrow.parquet as pq\r\n```\r\n\r\nTherefore it must be caused by some problem with your pyarrow installation. I would recommend you uninstall and install pyarrow again.\r\n\r\nI also see that it seems you use conda to install pyarrow. Please note that pyarrow offers 3 different packages in conda-forge: https://arrow.apache.org/docs/python/install.html#using-conda\r\n```\r\nconda install -c conda-forge pyarrow\r\n```\r\n> While the pyarrow [conda-forge](https://conda-forge.org/) package is the right choice for most users, both a minimal and maximal variant of the package exist, either of which may be better for your use case. See [Differences between conda-forge packages](https://arrow.apache.org/docs/python/install.html#python-conda-differences).\r\n\r\nPlease, make sure you install the right one: I guess it is either `pyarrow` (or `pyarrow-all`).",
"I have same issue, please downgrade pyarrow==15.0.2, it seem datasets library need to be fix",
"It is not a problem with the `datasets` library: we support latest version of `pyarrow` and our Continuous Integration tests are using pyarrow 16.1.0 without any problem.\r\n\r\nThe error reported here is raised when importing pyarrow.parquet:\r\n```\r\n---> 29 import pyarrow.parquet as pq\r\n```\r\n```\r\nFile /opt/conda/lib/python3.10/site-packages/pyarrow/parquet/__init__.py:20\r\n 1 # Licensed to the Apache Software Foundation (ASF) under one\r\n 2 # or more contributor license agreements. See the NOTICE file\r\n 3 # distributed with this work for additional information\r\n (...)\r\n 17 \r\n 18 # flake8: noqa\r\n---> 20 from .core import *\r\n\r\nFile /opt/conda/lib/python3.10/site-packages/pyarrow/parquet/core.py:33\r\n 30 import pyarrow as pa\r\n 32 try:\r\n---> 33 import pyarrow._parquet as _parquet\r\n 34 except ImportError as exc:\r\n 35 raise ImportError(\r\n 36 \"The pyarrow installation is not built with support \"\r\n 37 f\"for the Parquet file format ({str(exc)})\"\r\n 38 ) from None\r\n\r\nFile /opt/conda/lib/python3.10/site-packages/pyarrow/_parquet.pyx:1, in init pyarrow._parquet()\r\n\r\nAttributeError: module 'pyarrow.lib' has no attribute 'ListViewType'\r\n```\r\n\r\nThis can only be explained if pyarrow was not properly installed. \r\n\r\nIf the user just installed `pyarrow-core` from conda-forge, then its parquet subpackage is not installed and cannot be imported. You can check pyarrow docs:\r\n- Differences between conda-forge packages: https://arrow.apache.org/docs/python/install.html#python-conda-differences\r\n> The `pyarrow-core` package includes the following functionality:\r\n> ...\r\n> The `pyarrow` package adds the following:\r\n> ...\r\n> Parquet (i.e., `pyarrow.parquet`)"
] | 2024-06-19T13:22:28 | 2024-06-25T11:28:38 | 2024-06-25 05:40:51+00:00 | NONE | nan | ### Describe the bug
I have been struggling with this for two days, any help would be appreciated. Python 3.10
```
from setfit import SetFitModel
from huggingface_hub import login
access_token_read = "cccxxxccc"
# Authenticate with the Hugging Face Hub
login(token=access_token_read)
# Load the models from the Hugging Face Hub
trainer_relv = SetFitModel.from_pretrained("snowdere/trainer_relevance")
trainer_trust = SetFitModel.from_pretrained("snowdere/trainer_trust")
trainer_sent = SetFitModel.from_pretrained("snowdere/trainer_sent")
trainer_topic = SetFitModel.from_pretrained("snowdere/trainer_topic")
```
```
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[6], line 1
----> 1 from setfit import SetFitModel
2 from huggingface_hub import login
4 access_token_read = "ccsddsds"
File /opt/conda/lib/python3.10/site-packages/setfit/__init__.py:7
4 import os
5 import warnings
----> 7 from .data import get_templated_dataset, sample_dataset
8 from .model_card import SetFitModelCardData
9 from .modeling import SetFitHead, SetFitModel
File /opt/conda/lib/python3.10/site-packages/setfit/data.py:5
3 import pandas as pd
4 import torch
----> 5 from datasets import Dataset, DatasetDict, load_dataset
6 from torch.utils.data import Dataset as TorchDataset
8 from . import logging
File /opt/conda/lib/python3.10/site-packages/datasets/__init__.py:18
1 # ruff: noqa
2 # Copyright 2020 The HuggingFace Datasets Authors and the TensorFlow Datasets Authors.
3 #
(...)
13 # See the License for the specific language governing permissions and
14 # limitations under the License.
16 __version__ = "2.19.0"
---> 18 from .arrow_dataset import Dataset
19 from .arrow_reader import ReadInstruction
20 from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_dataset.py:76
73 from tqdm.contrib.concurrent import thread_map
75 from . import config
---> 76 from .arrow_reader import ArrowReader
77 from .arrow_writer import ArrowWriter, OptimizedTypedSequence
78 from .data_files import sanitize_patterns
File /opt/conda/lib/python3.10/site-packages/datasets/arrow_reader.py:29
26 from typing import TYPE_CHECKING, List, Optional, Union
28 import pyarrow as pa
---> 29 import pyarrow.parquet as pq
30 from tqdm.contrib.concurrent import thread_map
32 from .download.download_config import DownloadConfig
File /opt/conda/lib/python3.10/site-packages/pyarrow/parquet/__init__.py:20
1 # Licensed to the Apache Software Foundation (ASF) under one
2 # or more contributor license agreements. See the NOTICE file
3 # distributed with this work for additional information
(...)
17
18 # flake8: noqa
---> 20 from .core import *
File /opt/conda/lib/python3.10/site-packages/pyarrow/parquet/core.py:33
30 import pyarrow as pa
32 try:
---> 33 import pyarrow._parquet as _parquet
34 except ImportError as exc:
35 raise ImportError(
36 "The pyarrow installation is not built with support "
37 f"for the Parquet file format ({str(exc)})"
38 ) from None
File /opt/conda/lib/python3.10/site-packages/pyarrow/_parquet.pyx:1, in init pyarrow._parquet()
AttributeError: module 'pyarrow.lib' has no attribute 'ListViewType'
```
setfit: 1.0.3
transformers: 4.41.2
lingua-language-detector: 2.0.2
polars: 0.20.31
lightning: None
google-cloud-bigquery: 3.24.0
shapely: 2.0.4
pyarrow: 16.0.0
### Steps to reproduce the bug
I have tried all version combinations for Dataset and Pyarrow, the all have the same error since a few days ago. This is accross multiple scripts I have.
### Expected behavior
Just ron normally.
### Environment info
3.10 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6985/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6985/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6984 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6984/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6984/comments | https://api.github.com/repos/huggingface/datasets/issues/6984/events | https://github.com/huggingface/datasets/issues/6984 | 2362143554 | I_kwDODunzps6My3NC | 6984 | Convert polars DataFrame back to datasets | {'login': 'ljw20180420', 'id': 38550511, 'node_id': 'MDQ6VXNlcjM4NTUwNTEx', 'avatar_url': 'https://avatars.githubusercontent.com/u/38550511?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/ljw20180420', 'html_url': 'https://github.com/ljw20180420', 'followers_url': 'https://api.github.com/users/ljw20180420/followers', 'following_url': 'https://api.github.com/users/ljw20180420/following{/other_user}', 'gists_url': 'https://api.github.com/users/ljw20180420/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/ljw20180420/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/ljw20180420/subscriptions', 'organizations_url': 'https://api.github.com/users/ljw20180420/orgs', 'repos_url': 'https://api.github.com/users/ljw20180420/repos', 'events_url': 'https://api.github.com/users/ljw20180420/events{/privacy}', 'received_events_url': 'https://api.github.com/users/ljw20180420/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892871, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement', 'name': 'enhancement', 'color': 'a2eeef', 'default': True, 'description': 'New feature or request'}] | open | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [
"Hi ! Thanks for reporting :)\r\n\r\nWe don't support `large_list` yet, though it should be added to `Sequence` IMO (maybe with a parameter `large=True` ?)"
] | 2024-06-19T11:38:48 | 2024-07-01T12:48:18 | NaT | NONE | nan | ### Feature request
This returns error.
```python
from datasets import Dataset
dsdf = Dataset.from_dict({"x": [[1, 2], [3, 4, 5]], "y": ["a", "b"]})
Dataset.from_polars(dsdf.to_polars())
```
ValueError: Arrow type large_list<item: int64> does not have a datasets dtype equivalent.
### Motivation
When datasets contain Sequence data type, it will be converted to Arrow type large_list. However, the reverse (from large_list to Sequence) does not work.
### Your contribution
No | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6984/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6984/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6983 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6983/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6983/comments | https://api.github.com/repos/huggingface/datasets/issues/6983/events | https://github.com/huggingface/datasets/pull/6983 | 2361806201 | PR_kwDODunzps5y7tK7 | 6983 | Remove metrics | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | {'url': 'https://api.github.com/repos/huggingface/datasets/milestones/10', 'html_url': 'https://github.com/huggingface/datasets/milestone/10', 'labels_url': 'https://api.github.com/repos/huggingface/datasets/milestones/10/labels', 'id': 9038583, 'node_id': 'MI_kwDODunzps4Aier3', 'number': 10, 'title': '3.0', 'description': 'Next major release', 'creator': {'login': 'mariosasko', 'id': 47462742, 'node_id': 'MDQ6VXNlcjQ3NDYyNzQy', 'avatar_url': 'https://avatars.githubusercontent.com/u/47462742?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/mariosasko', 'html_url': 'https://github.com/mariosasko', 'followers_url': 'https://api.github.com/users/mariosasko/followers', 'following_url': 'https://api.github.com/users/mariosasko/following{/other_user}', 'gists_url': 'https://api.github.com/users/mariosasko/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/mariosasko/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/mariosasko/subscriptions', 'organizations_url': 'https://api.github.com/users/mariosasko/orgs', 'repos_url': 'https://api.github.com/users/mariosasko/repos', 'events_url': 'https://api.github.com/users/mariosasko/events{/privacy}', 'received_events_url': 'https://api.github.com/users/mariosasko/received_events', 'type': 'User', 'site_admin': False}, 'open_issues': 5, 'closed_issues': 3, 'state': 'open', 'created_at': '2023-02-13T16:22:42Z', 'updated_at': '2024-06-28T06:51:30Z', 'due_on': None, 'closed_at': None} | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6983). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005566 / 0.011353 (-0.005787) | 0.003977 / 0.011008 (-0.007031) | 0.063250 / 0.038508 (0.024742) | 0.030907 / 0.023109 (0.007798) | 0.244989 / 0.275898 (-0.030909) | 0.272139 / 0.323480 (-0.051341) | 0.004332 / 0.007986 (-0.003653) | 0.002960 / 0.004328 (-0.001368) | 0.050147 / 0.004250 (0.045896) | 0.044740 / 0.037052 (0.007688) | 0.256947 / 0.258489 (-0.001542) | 0.290372 / 0.293841 (-0.003469) | 0.030444 / 0.128546 (-0.098102) | 0.012675 / 0.075646 (-0.062971) | 0.203852 / 0.419271 (-0.215420) | 0.036977 / 0.043533 (-0.006556) | 0.244401 / 0.255139 (-0.010738) | 0.270020 / 0.283200 (-0.013179) | 0.018177 / 0.141683 (-0.123506) | 1.122189 / 1.452155 (-0.329966) | 1.176688 / 1.492716 (-0.316028) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.100721 / 0.018006 (0.082715) | 0.311824 / 0.000490 (0.311335) | 0.000222 / 0.000200 (0.000022) | 0.000043 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.020039 / 0.037411 (-0.017373) | 0.062084 / 0.014526 (0.047558) | 0.074317 / 0.176557 (-0.102240) | 0.123935 / 0.737135 (-0.613200) | 0.076186 / 0.296338 (-0.220153) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.284827 / 0.215209 (0.069618) | 2.782727 / 2.077655 (0.705072) | 1.417624 / 1.504120 (-0.086496) | 1.294476 / 1.541195 (-0.246718) | 1.332658 / 1.468490 (-0.135832) | 0.724820 / 4.584777 (-3.859957) | 2.384546 / 3.745712 (-1.361166) | 2.866759 / 5.269862 (-2.403103) | 1.930756 / 4.565676 (-2.634921) | 0.083090 / 0.424275 (-0.341185) | 0.005566 / 0.007607 (-0.002041) | 0.340117 / 0.226044 (0.114072) | 3.342417 / 2.268929 (1.073488) | 1.807842 / 55.444624 (-53.636782) | 1.511647 / 6.876477 (-5.364830) | 1.653893 / 2.142072 (-0.488179) | 0.803983 / 4.805227 (-4.001244) | 0.136205 / 6.500664 (-6.364459) | 0.042815 / 0.075469 (-0.032654) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.962346 / 1.841788 (-0.879442) | 11.792239 / 8.074308 (3.717931) | 9.236256 / 10.191392 (-0.955136) | 0.143200 / 0.680424 (-0.537224) | 0.015050 / 0.534201 (-0.519151) | 0.304623 / 0.579283 (-0.274660) | 0.266417 / 0.434364 (-0.167947) | 0.341213 / 0.540337 (-0.199124) | 0.454258 / 1.386936 (-0.932678) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005917 / 0.011353 (-0.005436) | 0.004005 / 0.011008 (-0.007003) | 0.049781 / 0.038508 (0.011273) | 0.033310 / 0.023109 (0.010200) | 0.271881 / 0.275898 (-0.004017) | 0.296855 / 0.323480 (-0.026625) | 0.004479 / 0.007986 (-0.003507) | 0.002818 / 0.004328 (-0.001510) | 0.048213 / 0.004250 (0.043962) | 0.043480 / 0.037052 (0.006428) | 0.285963 / 0.258489 (0.027473) | 0.317304 / 0.293841 (0.023463) | 0.031619 / 0.128546 (-0.096928) | 0.012312 / 0.075646 (-0.063335) | 0.059904 / 0.419271 (-0.359368) | 0.033152 / 0.043533 (-0.010381) | 0.274198 / 0.255139 (0.019059) | 0.290469 / 0.283200 (0.007269) | 0.019424 / 0.141683 (-0.122258) | 1.133669 / 1.452155 (-0.318485) | 1.194427 / 1.492716 (-0.298290) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.101561 / 0.018006 (0.083555) | 0.312617 / 0.000490 (0.312127) | 0.000216 / 0.000200 (0.000016) | 0.000045 / 0.000054 (-0.000009) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023705 / 0.037411 (-0.013706) | 0.076781 / 0.014526 (0.062255) | 0.089922 / 0.176557 (-0.086634) | 0.129182 / 0.737135 (-0.607953) | 0.092022 / 0.296338 (-0.204317) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.300977 / 0.215209 (0.085768) | 2.909088 / 2.077655 (0.831433) | 1.592821 / 1.504120 (0.088701) | 1.466627 / 1.541195 (-0.074568) | 1.497558 / 1.468490 (0.029068) | 0.720986 / 4.584777 (-3.863791) | 0.958039 / 3.745712 (-2.787673) | 3.023413 / 5.269862 (-2.246448) | 1.933245 / 4.565676 (-2.632432) | 0.080500 / 0.424275 (-0.343775) | 0.005243 / 0.007607 (-0.002364) | 0.361259 / 0.226044 (0.135215) | 3.447317 / 2.268929 (1.178389) | 1.938234 / 55.444624 (-53.506390) | 1.671563 / 6.876477 (-5.204913) | 1.674647 / 2.142072 (-0.467425) | 0.790606 / 4.805227 (-4.014621) | 0.133312 / 6.500664 (-6.367352) | 0.041241 / 0.075469 (-0.034228) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.996167 / 1.841788 (-0.845621) | 12.460877 / 8.074308 (4.386569) | 10.608415 / 10.191392 (0.417023) | 0.134076 / 0.680424 (-0.546348) | 0.016166 / 0.534201 (-0.518035) | 0.301218 / 0.579283 (-0.278065) | 0.128979 / 0.434364 (-0.305385) | 0.336453 / 0.540337 (-0.203884) | 0.435561 / 1.386936 (-0.951375) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#70e7355b7125fb792107ef5128ee3ad15cbec26c \"CML watermark\")\n"
] | 2024-06-19T09:08:55 | 2024-06-28T06:57:38 | 2024-06-28 06:51:30+00:00 | MEMBER | nan | Remove all metrics, as part of the 3.0 release.
Note they are deprecated since 2.5.0 version. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6983/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6983/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6983', 'html_url': 'https://github.com/huggingface/datasets/pull/6983', 'diff_url': 'https://github.com/huggingface/datasets/pull/6983.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6983.patch', 'merged_at': '2024-06-28T06:51:30Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6982 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6982/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6982/comments | https://api.github.com/repos/huggingface/datasets/issues/6982/events | https://github.com/huggingface/datasets/issues/6982 | 2361661469 | I_kwDODunzps6MxBgd | 6982 | cannot split dataset when using load_dataset | {'login': 'cybest0608', 'id': 17721894, 'node_id': 'MDQ6VXNlcjE3NzIxODk0', 'avatar_url': 'https://avatars.githubusercontent.com/u/17721894?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/cybest0608', 'html_url': 'https://github.com/cybest0608', 'followers_url': 'https://api.github.com/users/cybest0608/followers', 'following_url': 'https://api.github.com/users/cybest0608/following{/other_user}', 'gists_url': 'https://api.github.com/users/cybest0608/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/cybest0608/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/cybest0608/subscriptions', 'organizations_url': 'https://api.github.com/users/cybest0608/orgs', 'repos_url': 'https://api.github.com/users/cybest0608/repos', 'events_url': 'https://api.github.com/users/cybest0608/events{/privacy}', 'received_events_url': 'https://api.github.com/users/cybest0608/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"it seems the bug will happened in all windows system, I tried it in windows8.1, 10, 11 and all of them failed. But it won't happened in the Linux(Ubuntu and Centos7) and Mac (both my virtual and physical machine). I still don't know what the problem is. May be related to the path? I cannot run the split file in my windows server which created in Linux (even I replace the path in the arrow document)....work for it for a week but still cannot fix it .....upset",
"Have you properly logged in? Are you using the a valid token?\r\n\r\nNote that this dataset is gated and you must follow the right procedure to be able to access it. You can find more info in the docs: https://huggingface.co/docs/hub/datasets-gated#access-gated-datasets-as-a-user",
"> Have you properly logged in? Are you using the a valid token?\r\n> \r\n> Note that this dataset is gated and you must follow the right procedure to be able to access it. You can find more info in the docs: https://huggingface.co/docs/hub/datasets-gated#access-gated-datasets-as-a-user\r\n\r\nI finally found it what happened. It is not about the logging. When I copy the dataset from its original path (C:/Users/cybes/.cache/huggingface/datasets/downloads/extracted/XXX/cv-corpus-7.0-2021-07-21) to the desktop and load each tsv in it one by one , when I load the test spilt, the following warning occurs:\r\n\"ArrowInvalid: Failed to parse string: 'Benchmark' as a scalar of type double\"\r\n\r\nThen I manually deleted them in the \"segment\", the error won't happen anymore, even I replace the original path with these revised tsv and use the previous loading method (common_voice_train = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"ja\", split=\"train\", trust_remote_code=True)). It can work properly."
] | 2024-06-19T08:07:16 | 2024-07-08T06:20:16 | 2024-07-08 06:20:16+00:00 | NONE | nan | ### Describe the bug
when I use load_dataset methods to load mozilla-foundation/common_voice_7_0, it can successfully download and extracted the dataset but It cannot generating the arrow document,
This bug happened in my server, my laptop, so as #6906 , but it won't happen in the google colab. I work for it for days, even I load the datasets from local path, it can Generating train split and validation split but bug happen again in test split.
### Steps to reproduce the bug
from datasets import load_dataset, load_metric, Audio
common_voice_train = load_dataset("mozilla-foundation/common_voice_7_0", "ja", split="train", token=selftoken, trust_remote_code=True)
### Expected behavior
```
{
"name": "ValueError",
"message": "Instruction \"train\" corresponds to no data!",
"stack": "---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In[2], line 3
1 from datasets import load_dataset, load_metric, Audio
----> 3 common_voice_train = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"ja\", split=\"train\",token='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')#,trust_remote_code=True)#,streaming=True)
4 common_voice_test = load_dataset(\"mozilla-foundation/common_voice_7_0\", \"ja\", split=\"test\",token='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')#,trust_remote_code=True)#,streaming=True)
File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\load.py:2626, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, trust_remote_code, **config_kwargs)
2622 # Build dataset for splits
2623 keep_in_memory = (
2624 keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
2625 )
-> 2626 ds = builder_instance.as_dataset(split=split, verification_mode=verification_mode, in_memory=keep_in_memory)
2627 # Rename and cast features to match task schema
2628 if task is not None:
2629 # To avoid issuing the same warning twice
File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\builder.py:1266, in DatasetBuilder.as_dataset(self, split, run_post_process, verification_mode, ignore_verifications, in_memory)
1263 verification_mode = VerificationMode(verification_mode or VerificationMode.BASIC_CHECKS)
1265 # Create a dataset for each of the given splits
-> 1266 datasets = map_nested(
1267 partial(
1268 self._build_single_dataset,
1269 run_post_process=run_post_process,
1270 verification_mode=verification_mode,
1271 in_memory=in_memory,
1272 ),
1273 split,
1274 map_tuple=True,
1275 disable_tqdm=True,
1276 )
1277 if isinstance(datasets, dict):
1278 datasets = DatasetDict(datasets)
File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\utils\\py_utils.py:484, in map_nested(function, data_struct, dict_only, map_list, map_tuple, map_numpy, num_proc, parallel_min_length, batched, batch_size, types, disable_tqdm, desc)
482 if batched:
483 data_struct = [data_struct]
--> 484 mapped = function(data_struct)
485 if batched:
486 mapped = mapped[0]
File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\builder.py:1296, in DatasetBuilder._build_single_dataset(self, split, run_post_process, verification_mode, in_memory)
1293 split = Split(split)
1295 # Build base dataset
-> 1296 ds = self._as_dataset(
1297 split=split,
1298 in_memory=in_memory,
1299 )
1300 if run_post_process:
1301 for resource_file_name in self._post_processing_resources(split).values():
File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\builder.py:1370, in DatasetBuilder._as_dataset(self, split, in_memory)
1368 if self._check_legacy_cache():
1369 dataset_name = self.name
-> 1370 dataset_kwargs = ArrowReader(cache_dir, self.info).read(
1371 name=dataset_name,
1372 instructions=split,
1373 split_infos=self.info.splits.values(),
1374 in_memory=in_memory,
1375 )
1376 fingerprint = self._get_dataset_fingerprint(split)
1377 return Dataset(fingerprint=fingerprint, **dataset_kwargs)
File c:\\Users\\cybes\\.conda\\envs\\ECoG\\lib\\site-packages\\datasets\\arrow_reader.py:256, in BaseReader.read(self, name, instructions, split_infos, in_memory)
254 msg = f'Instruction \"{instructions}\" corresponds to no data!'
255 #msg = f'Instruction \"{self._path}\",\"{name}\",\"{instructions}\",\"{split_infos}\" corresponds to no data!'
--> 256 raise ValueError(msg)
257 return self.read_files(files=files, original_instructions=instructions, in_memory=in_memory)
ValueError: Instruction \"train\" corresponds to no data!"
}
```
### Environment info
Environment:
python 3.9
windows 11 pro
VScode+jupyter | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6982/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6982/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6981 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6981/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6981/comments | https://api.github.com/repos/huggingface/datasets/issues/6981/events | https://github.com/huggingface/datasets/pull/6981 | 2361520022 | PR_kwDODunzps5y6tnN | 6981 | Update docs on trust_remote_code defaults to False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6981). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005578 / 0.011353 (-0.005775) | 0.003946 / 0.011008 (-0.007062) | 0.063317 / 0.038508 (0.024808) | 0.031878 / 0.023109 (0.008769) | 0.312571 / 0.275898 (0.036673) | 0.281415 / 0.323480 (-0.042065) | 0.004139 / 0.007986 (-0.003846) | 0.002730 / 0.004328 (-0.001598) | 0.049539 / 0.004250 (0.045289) | 0.045056 / 0.037052 (0.008003) | 0.263820 / 0.258489 (0.005330) | 0.297817 / 0.293841 (0.003976) | 0.029490 / 0.128546 (-0.099056) | 0.012467 / 0.075646 (-0.063179) | 0.204607 / 0.419271 (-0.214664) | 0.036305 / 0.043533 (-0.007228) | 0.244102 / 0.255139 (-0.011037) | 0.267855 / 0.283200 (-0.015345) | 0.019794 / 0.141683 (-0.121889) | 1.130784 / 1.452155 (-0.321371) | 1.172507 / 1.492716 (-0.320209) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092430 / 0.018006 (0.074424) | 0.296460 / 0.000490 (0.295970) | 0.000210 / 0.000200 (0.000010) | 0.000042 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019467 / 0.037411 (-0.017944) | 0.062850 / 0.014526 (0.048324) | 0.074067 / 0.176557 (-0.102490) | 0.123280 / 0.737135 (-0.613856) | 0.077036 / 0.296338 (-0.219302) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.282687 / 0.215209 (0.067478) | 2.786715 / 2.077655 (0.709060) | 1.492028 / 1.504120 (-0.012092) | 1.373603 / 1.541195 (-0.167592) | 1.405004 / 1.468490 (-0.063486) | 0.714408 / 4.584777 (-3.870369) | 2.376785 / 3.745712 (-1.368927) | 2.916150 / 5.269862 (-2.353712) | 1.921184 / 4.565676 (-2.644493) | 0.078354 / 0.424275 (-0.345921) | 0.005236 / 0.007607 (-0.002371) | 0.334647 / 0.226044 (0.108603) | 3.262069 / 2.268929 (0.993140) | 1.858300 / 55.444624 (-53.586324) | 1.572968 / 6.876477 (-5.303509) | 1.659145 / 2.142072 (-0.482927) | 0.779546 / 4.805227 (-4.025681) | 0.132623 / 6.500664 (-6.368041) | 0.042423 / 0.075469 (-0.033046) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.985516 / 1.841788 (-0.856271) | 12.001321 / 8.074308 (3.927013) | 9.927011 / 10.191392 (-0.264381) | 0.142645 / 0.680424 (-0.537779) | 0.013808 / 0.534201 (-0.520393) | 0.303422 / 0.579283 (-0.275861) | 0.262666 / 0.434364 (-0.171698) | 0.339369 / 0.540337 (-0.200969) | 0.431028 / 1.386936 (-0.955908) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005848 / 0.011353 (-0.005505) | 0.003971 / 0.011008 (-0.007037) | 0.050746 / 0.038508 (0.012238) | 0.031554 / 0.023109 (0.008445) | 0.277678 / 0.275898 (0.001780) | 0.300776 / 0.323480 (-0.022704) | 0.004428 / 0.007986 (-0.003558) | 0.002773 / 0.004328 (-0.001555) | 0.049882 / 0.004250 (0.045632) | 0.039833 / 0.037052 (0.002780) | 0.289143 / 0.258489 (0.030654) | 0.321425 / 0.293841 (0.027584) | 0.031701 / 0.128546 (-0.096845) | 0.012687 / 0.075646 (-0.062960) | 0.060650 / 0.419271 (-0.358621) | 0.033318 / 0.043533 (-0.010215) | 0.277019 / 0.255139 (0.021880) | 0.292345 / 0.283200 (0.009145) | 0.018520 / 0.141683 (-0.123163) | 1.143933 / 1.452155 (-0.308222) | 1.183913 / 1.492716 (-0.308803) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094467 / 0.018006 (0.076461) | 0.298822 / 0.000490 (0.298332) | 0.000201 / 0.000200 (0.000001) | 0.000045 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022811 / 0.037411 (-0.014601) | 0.078084 / 0.014526 (0.063558) | 0.089079 / 0.176557 (-0.087477) | 0.130229 / 0.737135 (-0.606906) | 0.090851 / 0.296338 (-0.205487) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.294981 / 0.215209 (0.079772) | 2.908294 / 2.077655 (0.830639) | 1.591281 / 1.504120 (0.087161) | 1.446032 / 1.541195 (-0.095162) | 1.469441 / 1.468490 (0.000951) | 0.726477 / 4.584777 (-3.858300) | 0.983086 / 3.745712 (-2.762626) | 2.892715 / 5.269862 (-2.377147) | 1.974092 / 4.565676 (-2.591584) | 0.079500 / 0.424275 (-0.344775) | 0.005497 / 0.007607 (-0.002110) | 0.342220 / 0.226044 (0.116176) | 3.414508 / 2.268929 (1.145579) | 1.941550 / 55.444624 (-53.503074) | 1.645268 / 6.876477 (-5.231209) | 1.805909 / 2.142072 (-0.336163) | 0.814483 / 4.805227 (-3.990744) | 0.135867 / 6.500664 (-6.364797) | 0.041718 / 0.075469 (-0.033751) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.999751 / 1.841788 (-0.842036) | 12.488263 / 8.074308 (4.413954) | 10.867040 / 10.191392 (0.675648) | 0.143999 / 0.680424 (-0.536425) | 0.015496 / 0.534201 (-0.518705) | 0.302170 / 0.579283 (-0.277113) | 0.123753 / 0.434364 (-0.310611) | 0.340424 / 0.540337 (-0.199913) | 0.458339 / 1.386936 (-0.928597) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#a6ccf944e42c1a84de81bf326accab9999b86c90 \"CML watermark\")\n"
] | 2024-06-19T07:12:21 | 2024-06-19T14:32:59 | 2024-06-19 14:26:37+00:00 | MEMBER | nan | Update docs on trust_remote_code defaults to False.
The docs needed to be updated due to this PR:
- #6954 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6981/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6981/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6981', 'html_url': 'https://github.com/huggingface/datasets/pull/6981', 'diff_url': 'https://github.com/huggingface/datasets/pull/6981.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6981.patch', 'merged_at': '2024-06-19T14:26:37Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6980 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6980/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6980/comments | https://api.github.com/repos/huggingface/datasets/issues/6980/events | https://github.com/huggingface/datasets/issues/6980 | 2360909930 | I_kwDODunzps6MuKBq | 6980 | Support NumPy 2.0 | {'login': 'NeilGirdhar', 'id': 730137, 'node_id': 'MDQ6VXNlcjczMDEzNw==', 'avatar_url': 'https://avatars.githubusercontent.com/u/730137?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/NeilGirdhar', 'html_url': 'https://github.com/NeilGirdhar', 'followers_url': 'https://api.github.com/users/NeilGirdhar/followers', 'following_url': 'https://api.github.com/users/NeilGirdhar/following{/other_user}', 'gists_url': 'https://api.github.com/users/NeilGirdhar/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/NeilGirdhar/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/NeilGirdhar/subscriptions', 'organizations_url': 'https://api.github.com/users/NeilGirdhar/orgs', 'repos_url': 'https://api.github.com/users/NeilGirdhar/repos', 'events_url': 'https://api.github.com/users/NeilGirdhar/events{/privacy}', 'received_events_url': 'https://api.github.com/users/NeilGirdhar/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892871, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement', 'name': 'enhancement', 'color': 'a2eeef', 'default': True, 'description': 'New feature or request'}] | open | False | None | [] | None | [] | 2024-06-18T23:30:22 | 2024-06-22T09:20:17 | NaT | NONE | nan | ### Feature request
Support NumPy 2.0.
### Motivation
NumPy introduces the Array API, which bridges the gap between machine learning libraries. Many clients of HuggingFace are eager to start using the Array API.
Besides that, NumPy 2 provides a cleaner interface than NumPy 1.
### Tasks
NumPy 2.0 was released for testing so that libraries could ensure compatibility [since mid-March](https://github.com/numpy/numpy/issues/24300#issuecomment-1986815755). What needs to be done for HuggingFace to support Numpy 2?
- [x] Fix use of `array`: https://github.com/huggingface/datasets/pull/6976
- [ ] Remove [NumPy version limit](https://github.com/huggingface/datasets/pull/6975): https://github.com/huggingface/datasets/pull/6991 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6980/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6980/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6979 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6979/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6979/comments | https://api.github.com/repos/huggingface/datasets/issues/6979/events | https://github.com/huggingface/datasets/issues/6979 | 2360175363 | I_kwDODunzps6MrWsD | 6979 | How can I load partial parquet files only? | {'login': 'lucasjinreal', 'id': 21303438, 'node_id': 'MDQ6VXNlcjIxMzAzNDM4', 'avatar_url': 'https://avatars.githubusercontent.com/u/21303438?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lucasjinreal', 'html_url': 'https://github.com/lucasjinreal', 'followers_url': 'https://api.github.com/users/lucasjinreal/followers', 'following_url': 'https://api.github.com/users/lucasjinreal/following{/other_user}', 'gists_url': 'https://api.github.com/users/lucasjinreal/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lucasjinreal/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lucasjinreal/subscriptions', 'organizations_url': 'https://api.github.com/users/lucasjinreal/orgs', 'repos_url': 'https://api.github.com/users/lucasjinreal/repos', 'events_url': 'https://api.github.com/users/lucasjinreal/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lucasjinreal/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"Hello,\r\n\r\nHave you tried loading the dataset in streaming mode? [Documentation](https://huggingface.co/docs/datasets/v2.20.0/stream)\r\n\r\nThis way you wouldn't have to load it all. Also, let's be nice to Parquet, it's a really nice technology and we don't need to be mean :)",
"I have downloaded part of it, just want to know how to load part of it, stream mode is not work for me since my network (in china) not stable, I don't want do it all again and again.\r\n\r\nJust curious, doesn't there a way to load part of it?",
"Could you convert the IterableDataset to a Dataset after taking the first 100 rows with `.take`? This way, you would have a local copy of the first 100 rows on your system and thus won't need to download. Would that work?\r\n\r\nHere is a [SO question](https://stackoverflow.com/questions/76227219/can-i-convert-an-iterabledataset-to-dataset) detailing how to do the conversion.",
"I mean, the parquet is like:\r\n\r\n00000-0143554\r\n00001-0143554\r\n00002-0143554\r\n...\r\n00100-0143554\r\n...\r\n09100-0143554\r\n\r\nI just downloaded the first 9900 part of it. \r\n\r\nI can not load with load_dataset, it throw an error says my file is not same as parquet all amount.\r\n\r\nHow could I load the only I have? \r\n\r\n( I really don't want downlaod them all, cause, I don't need all, and pulus, its huge.... )\r\n\r\nAs I said, I have donwloaded about 9999... It's not about stream... I just wnat to konw how to load offline... part....",
"Hi, @lucasjinreal.\r\n\r\nI am not sure of understanding your issue. What is the error message and stack trace you get? What version of `datasets` are you using? Could you provide a reproducible example?\r\n\r\nWithout knowing all those details, I would naively say that you can load whatever number of Parquet files by using the \"parquet\" loader: https://huggingface.co/docs/datasets/loading#parquet\r\n```python\r\nds = load_dataset(\"parquet\", data_files=\"data/train-001*-of-00314.parquet\", split=\"train\")\r\n```",
"@albertvillanova Not sure you have tested with this or not, but I have tried,\r\n\r\nthe only error I got is it still laodding all parquet with a progress bar maxium to the whole number 014354, and it loads my 0 - 000999 part, then throws an error.\r\n\r\nSays Numinfo is not same.\r\n\r\nI am so confused,",
"Yes, my code snippet works.\n\nCould you copy-paste your code and the output? Otherwise we are not able to know what the issue is.",
"@albertvillanova Hi, thanks for the tracing of the issue.\r\n\r\nThis is the output:\r\n\r\n```\r\nython get_llava_recap_cc3m.py\r\nGenerating train split: 3%|███▋ | 101910/3199866 [00:16<08:30, 6065.67 examples/s]\r\nTraceback (most recent call last):\r\n File \"get_llava_recap_cc3m.py\", line 31, in <module>\r\n dataset = load_dataset(\"llava-recap-cc3m/\", data_files=\"data/train-0000*-of-00314.parquet\")\r\n File \"/usr/local/lib/python3.8/dist-packages/datasets/load.py\", line 2582, in load_dataset\r\n builder_instance.download_and_prepare(\r\n File \"/usr/local/lib/python3.8/dist-packages/datasets/builder.py\", line 1005, in download_and_prepare\r\n self._download_and_prepare(\r\n File \"/usr/local/lib/python3.8/dist-packages/datasets/builder.py\", line 1118, in _download_and_prepare\r\n verify_splits(self.info.splits, split_dict)\r\n File \"/usr/local/lib/python3.8/dist-packages/datasets/utils/info_utils.py\", line 101, in verify_splits\r\n raise NonMatchingSplitsSizesError(str(bad_splits))\r\ndatasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=156885281898.75, num_examples=3199866, shard_lengths=None, dataset_name=None), 'recorded': SplitInfo(name='train', num_bytes=4994080770, num_examples=101910, shard_lengths=[10191, 10291, 10291, 10291, 10291, 10191, 10191, 10291, 10291, 9591], dataset_name='llava-recap-cc3m')}]\r\n```\r\n\r\nthis is my code:\r\n\r\n```\r\ndataset = load_dataset(\"llava-recap-cc3m/\", data_files=\"data/train-0000*-of-00314.parquet\")\r\n```\r\n\r\nMy situation and requirements:\r\n\r\n00314 is all, but I downlaode about 150, half of it, as you can see, i used `0000*-of-00314.` which should be at most 99 file being loaded.\r\n\r\nBut it just fail.\r\n\r\nCan u understand my issue now?\r\n\r\nIf so, then **do not** suggest me with stream, Just want to know, is there a way to load part if it...... **and please don't say you can not replicate my issue when you have downloaded them all**, my english is not good, but I think all situations and all prerequists I have addressed already.\r\n\r\n",
"I see you did not use the \"parquet\" loader as I suggested in my code snippet above: https://github.com/huggingface/datasets/issues/6979#issuecomment-2182031415\r\nPlease try passing \"parquet\" instead of \"llava-recap-cc3m/\" to `load_dataset`, and the complete path to data files in `data_files`:\r\n```python\r\nload_dataset(\"parquet\", data_files=\"llava-recap-cc3m/data/train-001*-of-00314.parquet\")\r\n```",
"Let me explain that you get the error because of this content within the `dataset_info` YAML tag in the `llava-recap-cc3m/README.md`:\r\n```\r\n - name: train\r\n num_bytes: 156885281898.75\r\n num_examples: 3199866\r\n```\r\n\r\nBy default, if there is that content in the README file, `load_dataset` performs a basic check to verify it the generated number of examples matches the expected one and raises a `NonMatchingSplitsSizesError` if that is not the case. \r\n\r\nYou can avoid this basic check by passing `verification_mode=\"no_checks\"`:\r\n```python\r\nload_dataset(\"llava-recap-cc3m/\", data_files=\"data/train-0000*-of-00314.parquet\", verification_mode=\"no_checks\")\r\n```",
"And please, next time you have an issue, please fill the Bug template issue with all the necessary information: https://github.com/huggingface/datasets/issues/new?assignees=&labels=&projects=&template=bug-report.yml\r\n\r\nOtherwise it is very difficult for us to understand the underlying problem and to propose a pertinent solution.",
"thank u albert!\r\n\r\nIt solved my issue!"
] | 2024-06-18T15:44:16 | 2024-06-21T17:09:32 | 2024-06-21 13:32:50+00:00 | NONE | nan | I have a HUGE dataset about 14TB, I unable to download all parquet all. I just take about 100 from it.
dataset = load_dataset("xx/", data_files="data/train-001*-of-00314.parquet")
How can I just using 000 - 100 from a 00314 from all partially?
I search whole net didn't found a solution, **this is stupid if they didn't support it, and I swear I wont using stupid parquet any more**
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https://api.github.com/repos/huggingface/datasets/issues/6978 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6978/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6978/comments | https://api.github.com/repos/huggingface/datasets/issues/6978/events | https://github.com/huggingface/datasets/pull/6978 | 2359511469 | PR_kwDODunzps5yz0h6 | 6978 | Fix regression for pandas < 2.0.0 in JSON loader | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6978). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005144 / 0.011353 (-0.006209) | 0.003500 / 0.011008 (-0.007509) | 0.063670 / 0.038508 (0.025162) | 0.031793 / 0.023109 (0.008683) | 0.239611 / 0.275898 (-0.036287) | 0.276681 / 0.323480 (-0.046799) | 0.004148 / 0.007986 (-0.003838) | 0.002713 / 0.004328 (-0.001615) | 0.048832 / 0.004250 (0.044582) | 0.043066 / 0.037052 (0.006014) | 0.256835 / 0.258489 (-0.001655) | 0.292224 / 0.293841 (-0.001617) | 0.027530 / 0.128546 (-0.101017) | 0.010509 / 0.075646 (-0.065137) | 0.203370 / 0.419271 (-0.215901) | 0.035643 / 0.043533 (-0.007890) | 0.252161 / 0.255139 (-0.002978) | 0.271883 / 0.283200 (-0.011316) | 0.018658 / 0.141683 (-0.123024) | 1.081676 / 1.452155 (-0.370479) | 1.142146 / 1.492716 (-0.350571) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.093484 / 0.018006 (0.075477) | 0.298607 / 0.000490 (0.298117) | 0.000220 / 0.000200 (0.000020) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019021 / 0.037411 (-0.018390) | 0.062471 / 0.014526 (0.047946) | 0.075393 / 0.176557 (-0.101163) | 0.121040 / 0.737135 (-0.616095) | 0.077613 / 0.296338 (-0.218726) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.294857 / 0.215209 (0.079648) | 2.931143 / 2.077655 (0.853489) | 1.510866 / 1.504120 (0.006746) | 1.379574 / 1.541195 (-0.161621) | 1.352358 / 1.468490 (-0.116133) | 0.561670 / 4.584777 (-4.023107) | 2.378434 / 3.745712 (-1.367278) | 2.713203 / 5.269862 (-2.556658) | 1.706416 / 4.565676 (-2.859260) | 0.062355 / 0.424275 (-0.361920) | 0.004971 / 0.007607 (-0.002636) | 0.336498 / 0.226044 (0.110453) | 3.316464 / 2.268929 (1.047535) | 1.833035 / 55.444624 (-53.611589) | 1.532808 / 6.876477 (-5.343668) | 1.537323 / 2.142072 (-0.604749) | 0.639430 / 4.805227 (-4.165798) | 0.115808 / 6.500664 (-6.384856) | 0.043545 / 0.075469 (-0.031924) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.974428 / 1.841788 (-0.867360) | 11.368914 / 8.074308 (3.294606) | 9.754488 / 10.191392 (-0.436904) | 0.146277 / 0.680424 (-0.534146) | 0.013917 / 0.534201 (-0.520284) | 0.286809 / 0.579283 (-0.292474) | 0.267144 / 0.434364 (-0.167219) | 0.326161 / 0.540337 (-0.214177) | 0.418059 / 1.386936 (-0.968877) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005341 / 0.011353 (-0.006012) | 0.003460 / 0.011008 (-0.007548) | 0.050135 / 0.038508 (0.011627) | 0.032014 / 0.023109 (0.008905) | 0.259835 / 0.275898 (-0.016063) | 0.286275 / 0.323480 (-0.037205) | 0.004350 / 0.007986 (-0.003636) | 0.002800 / 0.004328 (-0.001529) | 0.049358 / 0.004250 (0.045107) | 0.040182 / 0.037052 (0.003130) | 0.278352 / 0.258489 (0.019863) | 0.307869 / 0.293841 (0.014028) | 0.029151 / 0.128546 (-0.099395) | 0.010091 / 0.075646 (-0.065555) | 0.058814 / 0.419271 (-0.360458) | 0.033150 / 0.043533 (-0.010383) | 0.263594 / 0.255139 (0.008455) | 0.284065 / 0.283200 (0.000866) | 0.017968 / 0.141683 (-0.123714) | 1.145605 / 1.452155 (-0.306550) | 1.196884 / 1.492716 (-0.295832) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094045 / 0.018006 (0.076039) | 0.299031 / 0.000490 (0.298541) | 0.000210 / 0.000200 (0.000011) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022510 / 0.037411 (-0.014901) | 0.077478 / 0.014526 (0.062953) | 0.087746 / 0.176557 (-0.088811) | 0.129311 / 0.737135 (-0.607825) | 0.089921 / 0.296338 (-0.206418) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.290279 / 0.215209 (0.075070) | 2.880725 / 2.077655 (0.803070) | 1.541262 / 1.504120 (0.037142) | 1.424475 / 1.541195 (-0.116719) | 1.436397 / 1.468490 (-0.032093) | 0.578237 / 4.584777 (-4.006540) | 0.965249 / 3.745712 (-2.780463) | 2.682534 / 5.269862 (-2.587327) | 1.732859 / 4.565676 (-2.832817) | 0.065523 / 0.424275 (-0.358752) | 0.005466 / 0.007607 (-0.002141) | 0.343985 / 0.226044 (0.117940) | 3.397463 / 2.268929 (1.128534) | 1.929370 / 55.444624 (-53.515255) | 1.605135 / 6.876477 (-5.271342) | 1.753926 / 2.142072 (-0.388146) | 0.659929 / 4.805227 (-4.145298) | 0.118093 / 6.500664 (-6.382571) | 0.041252 / 0.075469 (-0.034217) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.009177 / 1.841788 (-0.832610) | 11.959624 / 8.074308 (3.885316) | 10.484672 / 10.191392 (0.293280) | 0.142085 / 0.680424 (-0.538339) | 0.015955 / 0.534201 (-0.518245) | 0.283649 / 0.579283 (-0.295634) | 0.125681 / 0.434364 (-0.308683) | 0.320490 / 0.540337 (-0.219847) | 0.440353 / 1.386936 (-0.946583) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#e47a746bcda4b97db2467542b76d3215b3569ff0 \"CML watermark\")\n",
"Maybe a patch release will be needed with this fix."
] | 2024-06-18T10:26:34 | 2024-06-19T06:23:24 | 2024-06-19 05:50:18+00:00 | MEMBER | nan | A regression was introduced for pandas < 2.0.0 in PR:
- #6914
As described in pandas docs, the `dtype_backend` parameter was first added in pandas 2.0.0: https://pandas.pydata.org/docs/reference/api/pandas.read_json.html
This PR fixes the regression by passing (or not) the `dtype_backend` parameter depending on pandas version.
Maybe, in a future 3.0 `datasets` release, we could just require pandas > 2.0.
Reported by:
- #6977 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6978/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6978/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6978', 'html_url': 'https://github.com/huggingface/datasets/pull/6978', 'diff_url': 'https://github.com/huggingface/datasets/pull/6978.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6978.patch', 'merged_at': '2024-06-19T05:50:18Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6977 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6977/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6977/comments | https://api.github.com/repos/huggingface/datasets/issues/6977/events | https://github.com/huggingface/datasets/issues/6977 | 2359295045 | I_kwDODunzps6Mn_xF | 6977 | load json file error with v2.20.0 | {'login': 'xiaoyaolangzhi', 'id': 15037766, 'node_id': 'MDQ6VXNlcjE1MDM3NzY2', 'avatar_url': 'https://avatars.githubusercontent.com/u/15037766?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/xiaoyaolangzhi', 'html_url': 'https://github.com/xiaoyaolangzhi', 'followers_url': 'https://api.github.com/users/xiaoyaolangzhi/followers', 'following_url': 'https://api.github.com/users/xiaoyaolangzhi/following{/other_user}', 'gists_url': 'https://api.github.com/users/xiaoyaolangzhi/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/xiaoyaolangzhi/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/xiaoyaolangzhi/subscriptions', 'organizations_url': 'https://api.github.com/users/xiaoyaolangzhi/orgs', 'repos_url': 'https://api.github.com/users/xiaoyaolangzhi/repos', 'events_url': 'https://api.github.com/users/xiaoyaolangzhi/events{/privacy}', 'received_events_url': 'https://api.github.com/users/xiaoyaolangzhi/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [
"Thanks for reporting, @xiaoyaolangzhi.\r\n\r\nIndeed, we are currently requiring `pandas` >= 2.0.0.\r\n\r\nYou will need to update pandas in your local environment:\r\n```\r\npip install -U pandas\r\n``` ",
"Thank you very much."
] | 2024-06-18T08:41:01 | 2024-06-18T10:06:10 | 2024-06-18 10:06:09+00:00 | NONE | nan | ### Describe the bug
```
load_dataset(path="json", data_files="./test.json")
```
```
Generating train split: 0 examples [00:00, ? examples/s]
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/json/json.py", line 132, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to array in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1997, in _prepare_split_single
for _, table in generator:
File "/usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/json/json.py", line 155, in _generate_tables
df = pd.read_json(f, dtype_backend="pyarrow")
File "/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py", line 211, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py", line 331, in wrapper
return func(*args, **kwargs)
TypeError: read_json() got an unexpected keyword argument 'dtype_backend'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/app/t1.py", line 11, in <module>
load_dataset(path=data_path, data_files="./t2.json")
File "/usr/local/lib/python3.10/dist-packages/datasets/load.py", line 2616, in load_dataset
builder_instance.download_and_prepare(
File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1029, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1124, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 1884, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/usr/local/lib/python3.10/dist-packages/datasets/builder.py", line 2040, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
```
```
import pandas as pd
with open("./test.json", "r") as f:
df = pd.read_json(f, dtype_backend="pyarrow")
```
```
Traceback (most recent call last):
File "/app/t3.py", line 3, in <module>
df = pd.read_json(f, dtype_backend="pyarrow")
File "/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py", line 211, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py", line 331, in wrapper
return func(*args, **kwargs)
TypeError: read_json() got an unexpected keyword argument 'dtype_backend'
```
### Steps to reproduce the bug
.
### Expected behavior
.
### Environment info
```
datasets 2.20.0
pandas 1.5.3
``` | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6977/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6977/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6976 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6976/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6976/comments | https://api.github.com/repos/huggingface/datasets/issues/6976/events | https://github.com/huggingface/datasets/pull/6976 | 2357107203 | PR_kwDODunzps5yrmNP | 6976 | Ensure compatibility with numpy 2.0.0 | {'login': 'KennethEnevoldsen', 'id': 23721977, 'node_id': 'MDQ6VXNlcjIzNzIxOTc3', 'avatar_url': 'https://avatars.githubusercontent.com/u/23721977?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/KennethEnevoldsen', 'html_url': 'https://github.com/KennethEnevoldsen', 'followers_url': 'https://api.github.com/users/KennethEnevoldsen/followers', 'following_url': 'https://api.github.com/users/KennethEnevoldsen/following{/other_user}', 'gists_url': 'https://api.github.com/users/KennethEnevoldsen/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/KennethEnevoldsen/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/KennethEnevoldsen/subscriptions', 'organizations_url': 'https://api.github.com/users/KennethEnevoldsen/orgs', 'repos_url': 'https://api.github.com/users/KennethEnevoldsen/repos', 'events_url': 'https://api.github.com/users/KennethEnevoldsen/events{/privacy}', 'received_events_url': 'https://api.github.com/users/KennethEnevoldsen/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6976). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005361 / 0.011353 (-0.005992) | 0.003983 / 0.011008 (-0.007025) | 0.062865 / 0.038508 (0.024357) | 0.029880 / 0.023109 (0.006771) | 0.261465 / 0.275898 (-0.014433) | 0.269791 / 0.323480 (-0.053689) | 0.004198 / 0.007986 (-0.003788) | 0.002942 / 0.004328 (-0.001387) | 0.049002 / 0.004250 (0.044751) | 0.043232 / 0.037052 (0.006180) | 0.328774 / 0.258489 (0.070285) | 0.297308 / 0.293841 (0.003467) | 0.030552 / 0.128546 (-0.097994) | 0.012632 / 0.075646 (-0.063015) | 0.204156 / 0.419271 (-0.215116) | 0.036014 / 0.043533 (-0.007519) | 0.241224 / 0.255139 (-0.013915) | 0.268358 / 0.283200 (-0.014842) | 0.019227 / 0.141683 (-0.122456) | 1.114515 / 1.452155 (-0.337639) | 1.147029 / 1.492716 (-0.345688) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094925 / 0.018006 (0.076919) | 0.301548 / 0.000490 (0.301059) | 0.000211 / 0.000200 (0.000011) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018875 / 0.037411 (-0.018536) | 0.062824 / 0.014526 (0.048298) | 0.075657 / 0.176557 (-0.100900) | 0.121926 / 0.737135 (-0.615209) | 0.077102 / 0.296338 (-0.219236) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.286018 / 0.215209 (0.070808) | 2.832222 / 2.077655 (0.754567) | 1.462629 / 1.504120 (-0.041491) | 1.354746 / 1.541195 (-0.186449) | 1.339504 / 1.468490 (-0.128986) | 0.718381 / 4.584777 (-3.866396) | 2.401456 / 3.745712 (-1.344256) | 3.013518 / 5.269862 (-2.256343) | 1.944892 / 4.565676 (-2.620784) | 0.078793 / 0.424275 (-0.345482) | 0.005219 / 0.007607 (-0.002388) | 0.349551 / 0.226044 (0.123507) | 3.417844 / 2.268929 (1.148916) | 1.830669 / 55.444624 (-53.613956) | 1.502134 / 6.876477 (-5.374343) | 1.529242 / 2.142072 (-0.612830) | 0.793732 / 4.805227 (-4.011495) | 0.133571 / 6.500664 (-6.367093) | 0.042588 / 0.075469 (-0.032881) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.988167 / 1.841788 (-0.853620) | 11.926728 / 8.074308 (3.852420) | 9.806971 / 10.191392 (-0.384421) | 0.173951 / 0.680424 (-0.506473) | 0.015308 / 0.534201 (-0.518893) | 0.310768 / 0.579283 (-0.268515) | 0.268261 / 0.434364 (-0.166103) | 0.342962 / 0.540337 (-0.197375) | 0.431255 / 1.386936 (-0.955681) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005680 / 0.011353 (-0.005673) | 0.004231 / 0.011008 (-0.006778) | 0.051009 / 0.038508 (0.012501) | 0.031431 / 0.023109 (0.008322) | 0.268582 / 0.275898 (-0.007316) | 0.287942 / 0.323480 (-0.035538) | 0.004442 / 0.007986 (-0.003543) | 0.002818 / 0.004328 (-0.001511) | 0.050241 / 0.004250 (0.045991) | 0.039933 / 0.037052 (0.002881) | 0.285814 / 0.258489 (0.027325) | 0.316082 / 0.293841 (0.022241) | 0.032416 / 0.128546 (-0.096130) | 0.012398 / 0.075646 (-0.063248) | 0.060779 / 0.419271 (-0.358493) | 0.033706 / 0.043533 (-0.009827) | 0.273915 / 0.255139 (0.018776) | 0.289752 / 0.283200 (0.006553) | 0.017859 / 0.141683 (-0.123824) | 1.150224 / 1.452155 (-0.301930) | 1.197467 / 1.492716 (-0.295250) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.093810 / 0.018006 (0.075803) | 0.302529 / 0.000490 (0.302039) | 0.000221 / 0.000200 (0.000021) | 0.000047 / 0.000054 (-0.000008) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022903 / 0.037411 (-0.014508) | 0.077445 / 0.014526 (0.062919) | 0.089335 / 0.176557 (-0.087222) | 0.130848 / 0.737135 (-0.606287) | 0.091106 / 0.296338 (-0.205232) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.294194 / 0.215209 (0.078985) | 2.886983 / 2.077655 (0.809328) | 1.557768 / 1.504120 (0.053648) | 1.424467 / 1.541195 (-0.116727) | 1.440625 / 1.468490 (-0.027865) | 0.724793 / 4.584777 (-3.859984) | 0.985216 / 3.745712 (-2.760496) | 2.856826 / 5.269862 (-2.413036) | 1.911638 / 4.565676 (-2.654039) | 0.080350 / 0.424275 (-0.343925) | 0.005616 / 0.007607 (-0.001991) | 0.348713 / 0.226044 (0.122668) | 3.414764 / 2.268929 (1.145835) | 1.925056 / 55.444624 (-53.519568) | 1.635752 / 6.876477 (-5.240725) | 1.761117 / 2.142072 (-0.380955) | 0.808309 / 4.805227 (-3.996918) | 0.136893 / 6.500664 (-6.363771) | 0.042116 / 0.075469 (-0.033354) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.004740 / 1.841788 (-0.837048) | 12.495859 / 8.074308 (4.421550) | 10.681233 / 10.191392 (0.489841) | 0.133320 / 0.680424 (-0.547104) | 0.015943 / 0.534201 (-0.518258) | 0.304869 / 0.579283 (-0.274414) | 0.128616 / 0.434364 (-0.305748) | 0.345930 / 0.540337 (-0.194407) | 0.457434 / 1.386936 (-0.929502) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#84d9dea52098c9403efb43d5b542dd6d45000bec \"CML watermark\")\n"
] | 2024-06-17T11:29:22 | 2024-06-19T14:30:32 | 2024-06-19 14:04:34+00:00 | CONTRIBUTOR | nan | Following the conversion guide, copy=False is no longer required and will result in an error: https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.
The following fix should resolve the issue.
error found during testing on the MTEB repository e.g. [here](https://github.com/embeddings-benchmark/mteb/pull/938) | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6976/reactions', 'total_count': 2, '+1': 2, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6976/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6976', 'html_url': 'https://github.com/huggingface/datasets/pull/6976', 'diff_url': 'https://github.com/huggingface/datasets/pull/6976.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6976.patch', 'merged_at': '2024-06-19T14:04:34Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6975 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6975/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6975/comments | https://api.github.com/repos/huggingface/datasets/issues/6975/events | https://github.com/huggingface/datasets/pull/6975 | 2357003959 | PR_kwDODunzps5yrPct | 6975 | Set temporary numpy upper version < 2.0.0 to fix CI | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6975). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005168 / 0.011353 (-0.006185) | 0.003720 / 0.011008 (-0.007288) | 0.063347 / 0.038508 (0.024839) | 0.031474 / 0.023109 (0.008364) | 0.243233 / 0.275898 (-0.032665) | 0.276695 / 0.323480 (-0.046785) | 0.004109 / 0.007986 (-0.003877) | 0.002689 / 0.004328 (-0.001639) | 0.049522 / 0.004250 (0.045271) | 0.043477 / 0.037052 (0.006425) | 0.258578 / 0.258489 (0.000088) | 0.288134 / 0.293841 (-0.005707) | 0.027836 / 0.128546 (-0.100710) | 0.010677 / 0.075646 (-0.064969) | 0.206412 / 0.419271 (-0.212860) | 0.036204 / 0.043533 (-0.007329) | 0.250588 / 0.255139 (-0.004551) | 0.272354 / 0.283200 (-0.010846) | 0.018359 / 0.141683 (-0.123324) | 1.118867 / 1.452155 (-0.333288) | 1.157318 / 1.492716 (-0.335399) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092927 / 0.018006 (0.074921) | 0.298252 / 0.000490 (0.297762) | 0.000228 / 0.000200 (0.000028) | 0.000042 / 0.000054 (-0.000013) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018824 / 0.037411 (-0.018588) | 0.069304 / 0.014526 (0.054778) | 0.075094 / 0.176557 (-0.101462) | 0.122546 / 0.737135 (-0.614590) | 0.076453 / 0.296338 (-0.219885) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.287131 / 0.215209 (0.071922) | 2.838945 / 2.077655 (0.761291) | 1.473578 / 1.504120 (-0.030542) | 1.351214 / 1.541195 (-0.189981) | 1.354924 / 1.468490 (-0.113566) | 0.577092 / 4.584777 (-4.007685) | 2.348072 / 3.745712 (-1.397640) | 2.762130 / 5.269862 (-2.507732) | 1.725195 / 4.565676 (-2.840482) | 0.063596 / 0.424275 (-0.360679) | 0.004921 / 0.007607 (-0.002686) | 0.335422 / 0.226044 (0.109377) | 3.340398 / 2.268929 (1.071469) | 1.789390 / 55.444624 (-53.655234) | 1.516247 / 6.876477 (-5.360229) | 1.529653 / 2.142072 (-0.612420) | 0.643547 / 4.805227 (-4.161680) | 0.116491 / 6.500664 (-6.384173) | 0.042404 / 0.075469 (-0.033065) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.959839 / 1.841788 (-0.881948) | 11.269778 / 8.074308 (3.195470) | 9.574898 / 10.191392 (-0.616494) | 0.128979 / 0.680424 (-0.551444) | 0.013901 / 0.534201 (-0.520300) | 0.280778 / 0.579283 (-0.298505) | 0.256511 / 0.434364 (-0.177853) | 0.319361 / 0.540337 (-0.220977) | 0.411803 / 1.386936 (-0.975133) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005453 / 0.011353 (-0.005899) | 0.003478 / 0.011008 (-0.007530) | 0.050055 / 0.038508 (0.011547) | 0.031415 / 0.023109 (0.008306) | 0.275057 / 0.275898 (-0.000841) | 0.296690 / 0.323480 (-0.026789) | 0.004253 / 0.007986 (-0.003732) | 0.002777 / 0.004328 (-0.001551) | 0.049553 / 0.004250 (0.045303) | 0.039843 / 0.037052 (0.002791) | 0.286938 / 0.258489 (0.028449) | 0.318579 / 0.293841 (0.024738) | 0.029773 / 0.128546 (-0.098774) | 0.010404 / 0.075646 (-0.065242) | 0.057915 / 0.419271 (-0.361356) | 0.033486 / 0.043533 (-0.010047) | 0.273293 / 0.255139 (0.018154) | 0.293155 / 0.283200 (0.009955) | 0.017843 / 0.141683 (-0.123839) | 1.131130 / 1.452155 (-0.321024) | 1.167412 / 1.492716 (-0.325304) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092553 / 0.018006 (0.074547) | 0.298888 / 0.000490 (0.298399) | 0.000201 / 0.000200 (0.000001) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022646 / 0.037411 (-0.014765) | 0.076921 / 0.014526 (0.062395) | 0.089238 / 0.176557 (-0.087318) | 0.128793 / 0.737135 (-0.608342) | 0.089190 / 0.296338 (-0.207148) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.292552 / 0.215209 (0.077343) | 2.884277 / 2.077655 (0.806622) | 1.568798 / 1.504120 (0.064678) | 1.441819 / 1.541195 (-0.099375) | 1.435766 / 1.468490 (-0.032724) | 0.572435 / 4.584777 (-4.012342) | 0.957387 / 3.745712 (-2.788326) | 2.650843 / 5.269862 (-2.619019) | 1.727424 / 4.565676 (-2.838252) | 0.063470 / 0.424275 (-0.360805) | 0.005314 / 0.007607 (-0.002293) | 0.345881 / 0.226044 (0.119836) | 3.395463 / 2.268929 (1.126535) | 1.921340 / 55.444624 (-53.523285) | 1.621563 / 6.876477 (-5.254914) | 1.742561 / 2.142072 (-0.399512) | 0.639948 / 4.805227 (-4.165279) | 0.116091 / 6.500664 (-6.384573) | 0.041218 / 0.075469 (-0.034251) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.991506 / 1.841788 (-0.850281) | 11.897462 / 8.074308 (3.823154) | 10.083008 / 10.191392 (-0.108384) | 0.140626 / 0.680424 (-0.539798) | 0.015454 / 0.534201 (-0.518747) | 0.283856 / 0.579283 (-0.295427) | 0.125935 / 0.434364 (-0.308429) | 0.323884 / 0.540337 (-0.216454) | 0.438348 / 1.386936 (-0.948588) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#e59582adc7fcb53a86a8ca8eda7e04a4e7b25bd2 \"CML watermark\")\n"
] | 2024-06-17T10:36:54 | 2024-06-17T12:49:53 | 2024-06-17 12:43:56+00:00 | MEMBER | nan | Set temporary numpy upper version < 2.0.0 to fix CI. See: https://github.com/huggingface/datasets/actions/runs/9546031216/job/26308072017
```
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.0 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
``` | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6975/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6975/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6975', 'html_url': 'https://github.com/huggingface/datasets/pull/6975', 'diff_url': 'https://github.com/huggingface/datasets/pull/6975.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6975.patch', 'merged_at': '2024-06-17T12:43:56Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6973 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6973/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6973/comments | https://api.github.com/repos/huggingface/datasets/issues/6973/events | https://github.com/huggingface/datasets/issues/6973 | 2355517362 | I_kwDODunzps6MZley | 6973 | IndexError during training with Squad dataset and T5-small model | {'login': 'ramtunguturi36', 'id': 151521233, 'node_id': 'U_kgDOCQgH0Q', 'avatar_url': 'https://avatars.githubusercontent.com/u/151521233?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/ramtunguturi36', 'html_url': 'https://github.com/ramtunguturi36', 'followers_url': 'https://api.github.com/users/ramtunguturi36/followers', 'following_url': 'https://api.github.com/users/ramtunguturi36/following{/other_user}', 'gists_url': 'https://api.github.com/users/ramtunguturi36/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/ramtunguturi36/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/ramtunguturi36/subscriptions', 'organizations_url': 'https://api.github.com/users/ramtunguturi36/orgs', 'repos_url': 'https://api.github.com/users/ramtunguturi36/repos', 'events_url': 'https://api.github.com/users/ramtunguturi36/events{/privacy}', 'received_events_url': 'https://api.github.com/users/ramtunguturi36/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"add remove_unused_columns=False to training_args\r\nhttps://github.com/huggingface/datasets/issues/6535#issuecomment-1874024704",
"Closing this issue because it was a reported and fixed in transformers."
] | 2024-06-16T07:53:54 | 2024-07-01T11:25:40 | 2024-07-01 11:25:40+00:00 | NONE | nan | ### Describe the bug
I am encountering an IndexError while training a T5-small model on the Squad dataset using the transformers and datasets libraries. The error occurs even with a minimal reproducible example, suggesting a potential bug or incompatibility.
### Steps to reproduce the bug
1.Install the required libraries: !pip install transformers datasets
2.Run the following code:
!pip install transformers datasets
import torch
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, TrainingArguments, Trainer, DataCollatorWithPadding
# Load a small, publicly available dataset
from datasets import load_dataset
dataset = load_dataset("squad", split="train[:100]") # Use a small subset for testing
# Load a pre-trained model and tokenizer
model_name = "t5-small"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
# Define a basic data collator
data_collator = DataCollatorWithPadding(tokenizer=tokenizer)
# Define training arguments
training_args = TrainingArguments(
output_dir="./results",
per_device_train_batch_size=2,
num_train_epochs=1,
)
# Create a trainer
trainer = Trainer(
model=model,
args=training_args,
train_dataset=dataset,
data_collator=data_collator,
)
# Train the model
trainer.train()
### Expected behavior
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
[<ipython-input-23-f13a4b23c001>](https://localhost:8080/#) in <cell line: 34>()
32
33 # Train the model
---> 34 trainer.train()
10 frames
[/usr/local/lib/python3.10/dist-packages/datasets/formatting/formatting.py](https://localhost:8080/#) in _check_valid_index_key(key, size)
427 if isinstance(key, int):
428 if (key < 0 and key + size < 0) or (key >= size):
--> 429 raise IndexError(f"Invalid key: {key} is out of bounds for size {size}")
430 return
431 elif isinstance(key, slice):
IndexError: Invalid key: 42 is out of bounds for size 0
### Environment info
transformers version:4.41.2
datasets version:1.18.4
Python version:3.10.12
| {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6973/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6973/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6972 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6972/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6972/comments | https://api.github.com/repos/huggingface/datasets/issues/6972/events | https://github.com/huggingface/datasets/pull/6972 | 2353531912 | PR_kwDODunzps5yfa_e | 6972 | Fix webdataset pickling | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6972). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005195 / 0.011353 (-0.006157) | 0.003734 / 0.011008 (-0.007275) | 0.063087 / 0.038508 (0.024579) | 0.031467 / 0.023109 (0.008358) | 0.245183 / 0.275898 (-0.030715) | 0.280071 / 0.323480 (-0.043409) | 0.003205 / 0.007986 (-0.004780) | 0.003311 / 0.004328 (-0.001018) | 0.049967 / 0.004250 (0.045717) | 0.044927 / 0.037052 (0.007875) | 0.262244 / 0.258489 (0.003755) | 0.284549 / 0.293841 (-0.009292) | 0.027595 / 0.128546 (-0.100952) | 0.010521 / 0.075646 (-0.065126) | 0.206928 / 0.419271 (-0.212343) | 0.036179 / 0.043533 (-0.007354) | 0.254256 / 0.255139 (-0.000883) | 0.272733 / 0.283200 (-0.010467) | 0.020456 / 0.141683 (-0.121226) | 1.118527 / 1.452155 (-0.333628) | 1.152741 / 1.492716 (-0.339975) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096642 / 0.018006 (0.078636) | 0.306981 / 0.000490 (0.306491) | 0.000220 / 0.000200 (0.000020) | 0.000042 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019031 / 0.037411 (-0.018380) | 0.063960 / 0.014526 (0.049435) | 0.074428 / 0.176557 (-0.102129) | 0.121226 / 0.737135 (-0.615909) | 0.077111 / 0.296338 (-0.219228) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.279830 / 0.215209 (0.064621) | 2.748243 / 2.077655 (0.670588) | 1.481554 / 1.504120 (-0.022566) | 1.355015 / 1.541195 (-0.186180) | 1.379655 / 1.468490 (-0.088835) | 0.560378 / 4.584777 (-4.024399) | 2.407241 / 3.745712 (-1.338471) | 2.837090 / 5.269862 (-2.432771) | 1.767084 / 4.565676 (-2.798593) | 0.063517 / 0.424275 (-0.360758) | 0.005024 / 0.007607 (-0.002584) | 0.334845 / 0.226044 (0.108800) | 3.290712 / 2.268929 (1.021783) | 1.836923 / 55.444624 (-53.607702) | 1.543671 / 6.876477 (-5.332806) | 1.582319 / 2.142072 (-0.559754) | 0.637689 / 4.805227 (-4.167538) | 0.119515 / 6.500664 (-6.381149) | 0.042191 / 0.075469 (-0.033278) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.980018 / 1.841788 (-0.861770) | 11.620211 / 8.074308 (3.545903) | 9.697799 / 10.191392 (-0.493593) | 0.131733 / 0.680424 (-0.548691) | 0.014007 / 0.534201 (-0.520193) | 0.286046 / 0.579283 (-0.293237) | 0.264776 / 0.434364 (-0.169588) | 0.325041 / 0.540337 (-0.215296) | 0.452740 / 1.386936 (-0.934196) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005603 / 0.011353 (-0.005750) | 0.003810 / 0.011008 (-0.007199) | 0.050773 / 0.038508 (0.012265) | 0.032601 / 0.023109 (0.009492) | 0.268035 / 0.275898 (-0.007863) | 0.292614 / 0.323480 (-0.030866) | 0.005076 / 0.007986 (-0.002910) | 0.004487 / 0.004328 (0.000159) | 0.049988 / 0.004250 (0.045737) | 0.040258 / 0.037052 (0.003205) | 0.284145 / 0.258489 (0.025656) | 0.318291 / 0.293841 (0.024450) | 0.029672 / 0.128546 (-0.098875) | 0.010534 / 0.075646 (-0.065113) | 0.059020 / 0.419271 (-0.360252) | 0.033451 / 0.043533 (-0.010082) | 0.270220 / 0.255139 (0.015081) | 0.290500 / 0.283200 (0.007300) | 0.017123 / 0.141683 (-0.124560) | 1.130870 / 1.452155 (-0.321285) | 1.160038 / 1.492716 (-0.332678) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097045 / 0.018006 (0.079039) | 0.314573 / 0.000490 (0.314083) | 0.000203 / 0.000200 (0.000003) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022396 / 0.037411 (-0.015015) | 0.079393 / 0.014526 (0.064867) | 0.088460 / 0.176557 (-0.088097) | 0.128050 / 0.737135 (-0.609085) | 0.093070 / 0.296338 (-0.203268) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.293858 / 0.215209 (0.078649) | 2.819956 / 2.077655 (0.742301) | 1.540181 / 1.504120 (0.036061) | 1.419671 / 1.541195 (-0.121524) | 1.441594 / 1.468490 (-0.026897) | 0.565200 / 4.584777 (-4.019577) | 0.963967 / 3.745712 (-2.781745) | 2.752137 / 5.269862 (-2.517725) | 1.779239 / 4.565676 (-2.786438) | 0.063787 / 0.424275 (-0.360488) | 0.005344 / 0.007607 (-0.002263) | 0.344283 / 0.226044 (0.118239) | 3.353263 / 2.268929 (1.084334) | 1.898678 / 55.444624 (-53.545947) | 1.607868 / 6.876477 (-5.268609) | 1.781938 / 2.142072 (-0.360134) | 0.652119 / 4.805227 (-4.153108) | 0.117883 / 6.500664 (-6.382781) | 0.048811 / 0.075469 (-0.026658) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.013154 / 1.841788 (-0.828634) | 12.421963 / 8.074308 (4.347655) | 10.352056 / 10.191392 (0.160664) | 0.143784 / 0.680424 (-0.536640) | 0.016370 / 0.534201 (-0.517831) | 0.283668 / 0.579283 (-0.295615) | 0.127070 / 0.434364 (-0.307294) | 0.326199 / 0.540337 (-0.214138) | 0.432776 / 1.386936 (-0.954160) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#5e72fb13b4824dcb27aedb807e4e28c420dec244 \"CML watermark\")\n"
] | 2024-06-14T14:43:02 | 2024-06-14T15:43:43 | 2024-06-14 15:37:35+00:00 | MEMBER | nan | ...by making tracked iterables picklable.
This is important to make streaming datasets compatible with multiprocessing e.g. for parallel data loading | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6972/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6972/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6972', 'html_url': 'https://github.com/huggingface/datasets/pull/6972', 'diff_url': 'https://github.com/huggingface/datasets/pull/6972.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6972.patch', 'merged_at': '2024-06-14T15:37:35Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6971 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6971/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6971/comments | https://api.github.com/repos/huggingface/datasets/issues/6971/events | https://github.com/huggingface/datasets/pull/6971 | 2351830856 | PR_kwDODunzps5yZoc3 | 6971 | packaging: Remove useless dependencies | {'login': 'daskol', 'id': 9336514, 'node_id': 'MDQ6VXNlcjkzMzY1MTQ=', 'avatar_url': 'https://avatars.githubusercontent.com/u/9336514?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/daskol', 'html_url': 'https://github.com/daskol', 'followers_url': 'https://api.github.com/users/daskol/followers', 'following_url': 'https://api.github.com/users/daskol/following{/other_user}', 'gists_url': 'https://api.github.com/users/daskol/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/daskol/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/daskol/subscriptions', 'organizations_url': 'https://api.github.com/users/daskol/orgs', 'repos_url': 'https://api.github.com/users/daskol/repos', 'events_url': 'https://api.github.com/users/daskol/events{/privacy}', 'received_events_url': 'https://api.github.com/users/daskol/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6971). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@HuggingFaceDocBuilderDev There is no doc for this change. Call a human.",
"Haha it was me who triggered the CI for your PR",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005051 / 0.011353 (-0.006302) | 0.004831 / 0.011008 (-0.006178) | 0.063006 / 0.038508 (0.024498) | 0.031589 / 0.023109 (0.008480) | 0.296202 / 0.275898 (0.020304) | 0.274274 / 0.323480 (-0.049205) | 0.003199 / 0.007986 (-0.004786) | 0.002768 / 0.004328 (-0.001561) | 0.049422 / 0.004250 (0.045172) | 0.045174 / 0.037052 (0.008121) | 0.263814 / 0.258489 (0.005325) | 0.288125 / 0.293841 (-0.005716) | 0.027641 / 0.128546 (-0.100905) | 0.010439 / 0.075646 (-0.065207) | 0.203075 / 0.419271 (-0.216196) | 0.036259 / 0.043533 (-0.007274) | 0.245159 / 0.255139 (-0.009980) | 0.268897 / 0.283200 (-0.014303) | 0.019493 / 0.141683 (-0.122190) | 1.108330 / 1.452155 (-0.343824) | 1.155835 / 1.492716 (-0.336881) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096860 / 0.018006 (0.078854) | 0.309428 / 0.000490 (0.308938) | 0.000197 / 0.000200 (-0.000003) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019275 / 0.037411 (-0.018136) | 0.062623 / 0.014526 (0.048098) | 0.073871 / 0.176557 (-0.102686) | 0.120410 / 0.737135 (-0.616726) | 0.075766 / 0.296338 (-0.220572) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.279876 / 0.215209 (0.064667) | 2.742429 / 2.077655 (0.664774) | 1.414368 / 1.504120 (-0.089752) | 1.293194 / 1.541195 (-0.248001) | 1.318043 / 1.468490 (-0.150447) | 0.570904 / 4.584777 (-4.013873) | 2.384386 / 3.745712 (-1.361326) | 2.757953 / 5.269862 (-2.511908) | 1.728766 / 4.565676 (-2.836910) | 0.062699 / 0.424275 (-0.361576) | 0.004951 / 0.007607 (-0.002656) | 0.332222 / 0.226044 (0.106177) | 3.407429 / 2.268929 (1.138500) | 1.777136 / 55.444624 (-53.667488) | 1.521269 / 6.876477 (-5.355207) | 1.544814 / 2.142072 (-0.597258) | 0.646249 / 4.805227 (-4.158978) | 0.117032 / 6.500664 (-6.383632) | 0.042274 / 0.075469 (-0.033195) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.016249 / 1.841788 (-0.825539) | 11.794003 / 8.074308 (3.719695) | 9.871925 / 10.191392 (-0.319467) | 0.133694 / 0.680424 (-0.546730) | 0.014904 / 0.534201 (-0.519297) | 0.287453 / 0.579283 (-0.291831) | 0.271802 / 0.434364 (-0.162561) | 0.324711 / 0.540337 (-0.215626) | 0.411812 / 1.386936 (-0.975124) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005376 / 0.011353 (-0.005977) | 0.003631 / 0.011008 (-0.007377) | 0.050154 / 0.038508 (0.011646) | 0.033665 / 0.023109 (0.010556) | 0.279062 / 0.275898 (0.003164) | 0.298899 / 0.323480 (-0.024581) | 0.004388 / 0.007986 (-0.003598) | 0.002810 / 0.004328 (-0.001518) | 0.049032 / 0.004250 (0.044781) | 0.040531 / 0.037052 (0.003478) | 0.287220 / 0.258489 (0.028731) | 0.319060 / 0.293841 (0.025219) | 0.029473 / 0.128546 (-0.099073) | 0.010317 / 0.075646 (-0.065329) | 0.058483 / 0.419271 (-0.360789) | 0.033359 / 0.043533 (-0.010174) | 0.276404 / 0.255139 (0.021265) | 0.295013 / 0.283200 (0.011813) | 0.019372 / 0.141683 (-0.122311) | 1.172624 / 1.452155 (-0.279531) | 1.176815 / 1.492716 (-0.315902) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097347 / 0.018006 (0.079341) | 0.306959 / 0.000490 (0.306469) | 0.000200 / 0.000200 (-0.000000) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022776 / 0.037411 (-0.014635) | 0.077865 / 0.014526 (0.063340) | 0.088806 / 0.176557 (-0.087751) | 0.130448 / 0.737135 (-0.606687) | 0.090973 / 0.296338 (-0.205365) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.301168 / 0.215209 (0.085959) | 2.957634 / 2.077655 (0.879979) | 1.556999 / 1.504120 (0.052879) | 1.413940 / 1.541195 (-0.127255) | 1.427970 / 1.468490 (-0.040520) | 0.587653 / 4.584777 (-3.997124) | 0.951295 / 3.745712 (-2.794417) | 2.691004 / 5.269862 (-2.578858) | 1.755826 / 4.565676 (-2.809851) | 0.064883 / 0.424275 (-0.359392) | 0.005379 / 0.007607 (-0.002228) | 0.353790 / 0.226044 (0.127745) | 3.457747 / 2.268929 (1.188818) | 1.891884 / 55.444624 (-53.552740) | 1.616619 / 6.876477 (-5.259858) | 1.736167 / 2.142072 (-0.405906) | 0.669257 / 4.805227 (-4.135970) | 0.119620 / 6.500664 (-6.381044) | 0.041390 / 0.075469 (-0.034080) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.008851 / 1.841788 (-0.832937) | 13.151216 / 8.074308 (5.076908) | 10.398371 / 10.191392 (0.206979) | 0.143420 / 0.680424 (-0.537004) | 0.015759 / 0.534201 (-0.518442) | 0.293068 / 0.579283 (-0.286215) | 0.131449 / 0.434364 (-0.302914) | 0.334715 / 0.540337 (-0.205623) | 0.445824 / 1.386936 (-0.941112) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#087671dcaf817c906a8649404c07b0440e2732ea \"CML watermark\")\n"
] | 2024-06-13T18:43:43 | 2024-06-14T14:03:34 | 2024-06-14 13:57:24+00:00 | CONTRIBUTOR | nan | Revert changes in #6396 and #6404. CVE-2023-47248 has been fixed since PyArrow v14.0.1. Meanwhile Python requirements requires `pyarrow>=15.0.0`. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6971/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6971/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6971', 'html_url': 'https://github.com/huggingface/datasets/pull/6971', 'diff_url': 'https://github.com/huggingface/datasets/pull/6971.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6971.patch', 'merged_at': '2024-06-14T13:57:24Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6970 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6970/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6970/comments | https://api.github.com/repos/huggingface/datasets/issues/6970/events | https://github.com/huggingface/datasets/pull/6970 | 2351380029 | PR_kwDODunzps5yYF37 | 6970 | Set dev version | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6970). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005450 / 0.011353 (-0.005902) | 0.003911 / 0.011008 (-0.007098) | 0.063467 / 0.038508 (0.024959) | 0.031029 / 0.023109 (0.007920) | 0.247916 / 0.275898 (-0.027982) | 0.274737 / 0.323480 (-0.048743) | 0.003255 / 0.007986 (-0.004731) | 0.002842 / 0.004328 (-0.001487) | 0.049617 / 0.004250 (0.045366) | 0.046689 / 0.037052 (0.009637) | 0.255152 / 0.258489 (-0.003337) | 0.288630 / 0.293841 (-0.005211) | 0.028174 / 0.128546 (-0.100372) | 0.010773 / 0.075646 (-0.064873) | 0.202119 / 0.419271 (-0.217153) | 0.035914 / 0.043533 (-0.007619) | 0.248197 / 0.255139 (-0.006942) | 0.273508 / 0.283200 (-0.009691) | 0.020626 / 0.141683 (-0.121057) | 1.125668 / 1.452155 (-0.326487) | 1.156678 / 1.492716 (-0.336038) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.098294 / 0.018006 (0.080288) | 0.306661 / 0.000490 (0.306172) | 0.000227 / 0.000200 (0.000027) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019118 / 0.037411 (-0.018293) | 0.063086 / 0.014526 (0.048560) | 0.077735 / 0.176557 (-0.098822) | 0.123159 / 0.737135 (-0.613976) | 0.077228 / 0.296338 (-0.219111) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.280031 / 0.215209 (0.064822) | 2.762524 / 2.077655 (0.684870) | 1.444571 / 1.504120 (-0.059549) | 1.330590 / 1.541195 (-0.210604) | 1.371937 / 1.468490 (-0.096553) | 0.563847 / 4.584777 (-4.020930) | 2.369908 / 3.745712 (-1.375804) | 2.827441 / 5.269862 (-2.442420) | 1.749864 / 4.565676 (-2.815812) | 0.063996 / 0.424275 (-0.360279) | 0.005060 / 0.007607 (-0.002547) | 0.326067 / 0.226044 (0.100023) | 3.270170 / 2.268929 (1.001242) | 1.785164 / 55.444624 (-53.659460) | 1.560432 / 6.876477 (-5.316045) | 1.587005 / 2.142072 (-0.555068) | 0.645714 / 4.805227 (-4.159513) | 0.119975 / 6.500664 (-6.380689) | 0.043962 / 0.075469 (-0.031507) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.979003 / 1.841788 (-0.862785) | 11.988701 / 8.074308 (3.914393) | 9.788564 / 10.191392 (-0.402828) | 0.142644 / 0.680424 (-0.537780) | 0.014924 / 0.534201 (-0.519277) | 0.285942 / 0.579283 (-0.293341) | 0.264086 / 0.434364 (-0.170278) | 0.343360 / 0.540337 (-0.196977) | 0.413467 / 1.386936 (-0.973469) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005818 / 0.011353 (-0.005535) | 0.003726 / 0.011008 (-0.007283) | 0.050936 / 0.038508 (0.012428) | 0.032000 / 0.023109 (0.008890) | 0.273282 / 0.275898 (-0.002616) | 0.293889 / 0.323480 (-0.029591) | 0.004287 / 0.007986 (-0.003699) | 0.002797 / 0.004328 (-0.001531) | 0.049088 / 0.004250 (0.044838) | 0.040235 / 0.037052 (0.003183) | 0.280240 / 0.258489 (0.021751) | 0.315749 / 0.293841 (0.021908) | 0.029986 / 0.128546 (-0.098560) | 0.010440 / 0.075646 (-0.065206) | 0.058935 / 0.419271 (-0.360336) | 0.033198 / 0.043533 (-0.010335) | 0.274321 / 0.255139 (0.019182) | 0.288039 / 0.283200 (0.004840) | 0.018865 / 0.141683 (-0.122818) | 1.114915 / 1.452155 (-0.337240) | 1.180548 / 1.492716 (-0.312169) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095028 / 0.018006 (0.077022) | 0.304797 / 0.000490 (0.304307) | 0.000221 / 0.000200 (0.000021) | 0.000056 / 0.000054 (0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022556 / 0.037411 (-0.014855) | 0.076839 / 0.014526 (0.062313) | 0.090255 / 0.176557 (-0.086302) | 0.128748 / 0.737135 (-0.608387) | 0.091718 / 0.296338 (-0.204621) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.296061 / 0.215209 (0.080852) | 2.851376 / 2.077655 (0.773722) | 1.548084 / 1.504120 (0.043964) | 1.428589 / 1.541195 (-0.112606) | 1.467244 / 1.468490 (-0.001246) | 0.583533 / 4.584777 (-4.001244) | 0.967436 / 3.745712 (-2.778277) | 2.774775 / 5.269862 (-2.495087) | 1.800435 / 4.565676 (-2.765242) | 0.063998 / 0.424275 (-0.360277) | 0.005420 / 0.007607 (-0.002187) | 0.346353 / 0.226044 (0.120308) | 3.383885 / 2.268929 (1.114956) | 1.902914 / 55.444624 (-53.541710) | 1.599545 / 6.876477 (-5.276932) | 1.772754 / 2.142072 (-0.369318) | 0.651804 / 4.805227 (-4.153423) | 0.120380 / 6.500664 (-6.380284) | 0.043311 / 0.075469 (-0.032159) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.004414 / 1.841788 (-0.837374) | 12.356077 / 8.074308 (4.281769) | 10.513420 / 10.191392 (0.322028) | 0.132419 / 0.680424 (-0.548005) | 0.015470 / 0.534201 (-0.518731) | 0.284883 / 0.579283 (-0.294400) | 0.130763 / 0.434364 (-0.303601) | 0.320068 / 0.540337 (-0.220270) | 0.430284 / 1.386936 (-0.956652) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#574791e0a0cf57ba761f679a054b9e89e4a3ee22 \"CML watermark\")\n"
] | 2024-06-13T14:59:45 | 2024-06-13T15:06:18 | 2024-06-13 14:59:56+00:00 | MEMBER | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6970/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6970/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6970', 'html_url': 'https://github.com/huggingface/datasets/pull/6970', 'diff_url': 'https://github.com/huggingface/datasets/pull/6970.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6970.patch', 'merged_at': '2024-06-13T14:59:56Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6969 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6969/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6969/comments | https://api.github.com/repos/huggingface/datasets/issues/6969/events | https://github.com/huggingface/datasets/pull/6969 | 2351351436 | PR_kwDODunzps5yX_nC | 6969 | Release: 2.20.0 | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6969). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005414 / 0.011353 (-0.005939) | 0.003936 / 0.011008 (-0.007073) | 0.064129 / 0.038508 (0.025621) | 0.032985 / 0.023109 (0.009875) | 0.244051 / 0.275898 (-0.031847) | 0.273500 / 0.323480 (-0.049980) | 0.003227 / 0.007986 (-0.004759) | 0.002858 / 0.004328 (-0.001470) | 0.049212 / 0.004250 (0.044962) | 0.046432 / 0.037052 (0.009380) | 0.249543 / 0.258489 (-0.008946) | 0.297339 / 0.293841 (0.003498) | 0.027880 / 0.128546 (-0.100666) | 0.010582 / 0.075646 (-0.065065) | 0.202345 / 0.419271 (-0.216927) | 0.036402 / 0.043533 (-0.007131) | 0.253157 / 0.255139 (-0.001982) | 0.283355 / 0.283200 (0.000155) | 0.021907 / 0.141683 (-0.119776) | 1.174431 / 1.452155 (-0.277723) | 1.172103 / 1.492716 (-0.320613) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097942 / 0.018006 (0.079936) | 0.307114 / 0.000490 (0.306624) | 0.000230 / 0.000200 (0.000030) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019149 / 0.037411 (-0.018262) | 0.064283 / 0.014526 (0.049758) | 0.075643 / 0.176557 (-0.100913) | 0.122531 / 0.737135 (-0.614604) | 0.077360 / 0.296338 (-0.218978) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.291790 / 0.215209 (0.076581) | 2.869234 / 2.077655 (0.791580) | 1.550266 / 1.504120 (0.046146) | 1.392392 / 1.541195 (-0.148802) | 1.375700 / 1.468490 (-0.092790) | 0.574963 / 4.584777 (-4.009814) | 2.444746 / 3.745712 (-1.300966) | 2.920602 / 5.269862 (-2.349259) | 1.812720 / 4.565676 (-2.752957) | 0.064811 / 0.424275 (-0.359464) | 0.005163 / 0.007607 (-0.002444) | 0.341306 / 0.226044 (0.115261) | 3.443177 / 2.268929 (1.174249) | 1.843510 / 55.444624 (-53.601115) | 1.534023 / 6.876477 (-5.342454) | 1.603575 / 2.142072 (-0.538498) | 0.656923 / 4.805227 (-4.148304) | 0.120338 / 6.500664 (-6.380326) | 0.042958 / 0.075469 (-0.032511) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.975993 / 1.841788 (-0.865795) | 11.942335 / 8.074308 (3.868027) | 9.964277 / 10.191392 (-0.227115) | 0.131247 / 0.680424 (-0.549176) | 0.014166 / 0.534201 (-0.520035) | 0.283994 / 0.579283 (-0.295290) | 0.267516 / 0.434364 (-0.166848) | 0.328363 / 0.540337 (-0.211974) | 0.412204 / 1.386936 (-0.974732) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005867 / 0.011353 (-0.005486) | 0.003860 / 0.011008 (-0.007148) | 0.050247 / 0.038508 (0.011739) | 0.033819 / 0.023109 (0.010710) | 0.264840 / 0.275898 (-0.011058) | 0.291253 / 0.323480 (-0.032227) | 0.004481 / 0.007986 (-0.003504) | 0.002880 / 0.004328 (-0.001449) | 0.048528 / 0.004250 (0.044278) | 0.041720 / 0.037052 (0.004667) | 0.280467 / 0.258489 (0.021978) | 0.315244 / 0.293841 (0.021404) | 0.030569 / 0.128546 (-0.097977) | 0.010494 / 0.075646 (-0.065152) | 0.058652 / 0.419271 (-0.360620) | 0.034181 / 0.043533 (-0.009352) | 0.266466 / 0.255139 (0.011327) | 0.292038 / 0.283200 (0.008838) | 0.018501 / 0.141683 (-0.123182) | 1.115965 / 1.452155 (-0.336189) | 1.162753 / 1.492716 (-0.329963) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.101301 / 0.018006 (0.083295) | 0.296812 / 0.000490 (0.296322) | 0.000212 / 0.000200 (0.000012) | 0.000049 / 0.000054 (-0.000006) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023662 / 0.037411 (-0.013749) | 0.080678 / 0.014526 (0.066153) | 0.089867 / 0.176557 (-0.086689) | 0.130803 / 0.737135 (-0.606332) | 0.091479 / 0.296338 (-0.204860) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.286028 / 0.215209 (0.070819) | 2.780072 / 2.077655 (0.702418) | 1.520146 / 1.504120 (0.016026) | 1.372952 / 1.541195 (-0.168243) | 1.428734 / 1.468490 (-0.039756) | 0.571484 / 4.584777 (-4.013293) | 0.969643 / 3.745712 (-2.776069) | 2.788157 / 5.269862 (-2.481705) | 1.841166 / 4.565676 (-2.724511) | 0.063311 / 0.424275 (-0.360964) | 0.005320 / 0.007607 (-0.002287) | 0.333341 / 0.226044 (0.107296) | 3.295141 / 2.268929 (1.026213) | 1.865537 / 55.444624 (-53.579088) | 1.584655 / 6.876477 (-5.291821) | 1.747417 / 2.142072 (-0.394655) | 0.634549 / 4.805227 (-4.170678) | 0.116373 / 6.500664 (-6.384291) | 0.041567 / 0.075469 (-0.033902) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.023086 / 1.841788 (-0.818702) | 13.091905 / 8.074308 (5.017597) | 10.572164 / 10.191392 (0.380772) | 0.142208 / 0.680424 (-0.538216) | 0.015692 / 0.534201 (-0.518509) | 0.284309 / 0.579283 (-0.294974) | 0.126467 / 0.434364 (-0.307897) | 0.322719 / 0.540337 (-0.217618) | 0.439952 / 1.386936 (-0.946985) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#98fdc9e78e6d057ca66e58a37f49d6618aab8130 \"CML watermark\")\n"
] | 2024-06-13T14:48:20 | 2024-06-13T15:04:39 | 2024-06-13 14:55:53+00:00 | MEMBER | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6969/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6969/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6969', 'html_url': 'https://github.com/huggingface/datasets/pull/6969', 'diff_url': 'https://github.com/huggingface/datasets/pull/6969.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6969.patch', 'merged_at': '2024-06-13T14:55:53Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6968 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6968/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6968/comments | https://api.github.com/repos/huggingface/datasets/issues/6968/events | https://github.com/huggingface/datasets/pull/6968 | 2351331417 | PR_kwDODunzps5yX7Qr | 6968 | Use `HF_HUB_OFFLINE` instead of `HF_DATASETS_OFFLINE` | {'login': 'Wauplin', 'id': 11801849, 'node_id': 'MDQ6VXNlcjExODAxODQ5', 'avatar_url': 'https://avatars.githubusercontent.com/u/11801849?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/Wauplin', 'html_url': 'https://github.com/Wauplin', 'followers_url': 'https://api.github.com/users/Wauplin/followers', 'following_url': 'https://api.github.com/users/Wauplin/following{/other_user}', 'gists_url': 'https://api.github.com/users/Wauplin/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/Wauplin/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/Wauplin/subscriptions', 'organizations_url': 'https://api.github.com/users/Wauplin/orgs', 'repos_url': 'https://api.github.com/users/Wauplin/repos', 'events_url': 'https://api.github.com/users/Wauplin/events{/privacy}', 'received_events_url': 'https://api.github.com/users/Wauplin/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6968). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Oops, sorry for the style issue. Fixed in https://github.com/huggingface/datasets/pull/6968/commits/a4e2b28fa647b28190ae2615d7271e6ac63c8499.\r\n\r\nRegarding docs, I can't find mentions of `HF_DATASETS_OFFLINE` anywhere else in `datasets`/`hub-docs`. Once this is merged and released, I'm planning to update some `transformers` docs that briefly mention it.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005173 / 0.011353 (-0.006180) | 0.003485 / 0.011008 (-0.007524) | 0.063867 / 0.038508 (0.025359) | 0.031338 / 0.023109 (0.008229) | 0.242093 / 0.275898 (-0.033805) | 0.266606 / 0.323480 (-0.056874) | 0.003069 / 0.007986 (-0.004916) | 0.003307 / 0.004328 (-0.001022) | 0.051059 / 0.004250 (0.046808) | 0.044396 / 0.037052 (0.007344) | 0.254896 / 0.258489 (-0.003593) | 0.282835 / 0.293841 (-0.011006) | 0.027548 / 0.128546 (-0.100998) | 0.010520 / 0.075646 (-0.065126) | 0.201701 / 0.419271 (-0.217570) | 0.035613 / 0.043533 (-0.007920) | 0.240955 / 0.255139 (-0.014184) | 0.271902 / 0.283200 (-0.011298) | 0.019826 / 0.141683 (-0.121857) | 1.116994 / 1.452155 (-0.335161) | 1.162886 / 1.492716 (-0.329831) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.093683 / 0.018006 (0.075677) | 0.297970 / 0.000490 (0.297480) | 0.000211 / 0.000200 (0.000011) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018952 / 0.037411 (-0.018459) | 0.062710 / 0.014526 (0.048184) | 0.073641 / 0.176557 (-0.102916) | 0.121200 / 0.737135 (-0.615935) | 0.075723 / 0.296338 (-0.220616) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.286056 / 0.215209 (0.070847) | 2.811424 / 2.077655 (0.733770) | 1.448045 / 1.504120 (-0.056075) | 1.338309 / 1.541195 (-0.202885) | 1.328371 / 1.468490 (-0.140119) | 0.557282 / 4.584777 (-4.027495) | 2.362235 / 3.745712 (-1.383477) | 2.732108 / 5.269862 (-2.537754) | 1.730911 / 4.565676 (-2.834765) | 0.061689 / 0.424275 (-0.362586) | 0.004947 / 0.007607 (-0.002660) | 0.346700 / 0.226044 (0.120656) | 3.355989 / 2.268929 (1.087060) | 1.828078 / 55.444624 (-53.616546) | 1.511531 / 6.876477 (-5.364946) | 1.535897 / 2.142072 (-0.606175) | 0.630276 / 4.805227 (-4.174951) | 0.115808 / 6.500664 (-6.384857) | 0.042199 / 0.075469 (-0.033270) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.969203 / 1.841788 (-0.872584) | 11.282997 / 8.074308 (3.208689) | 9.538914 / 10.191392 (-0.652478) | 0.140072 / 0.680424 (-0.540352) | 0.014021 / 0.534201 (-0.520180) | 0.283784 / 0.579283 (-0.295499) | 0.255973 / 0.434364 (-0.178391) | 0.320284 / 0.540337 (-0.220053) | 0.412689 / 1.386936 (-0.974247) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005201 / 0.011353 (-0.006152) | 0.003312 / 0.011008 (-0.007697) | 0.050044 / 0.038508 (0.011536) | 0.033610 / 0.023109 (0.010501) | 0.266429 / 0.275898 (-0.009469) | 0.287782 / 0.323480 (-0.035698) | 0.004316 / 0.007986 (-0.003670) | 0.002696 / 0.004328 (-0.001633) | 0.049667 / 0.004250 (0.045417) | 0.040244 / 0.037052 (0.003192) | 0.278870 / 0.258489 (0.020381) | 0.311415 / 0.293841 (0.017574) | 0.029150 / 0.128546 (-0.099396) | 0.010046 / 0.075646 (-0.065600) | 0.058527 / 0.419271 (-0.360744) | 0.032871 / 0.043533 (-0.010662) | 0.266582 / 0.255139 (0.011443) | 0.286157 / 0.283200 (0.002957) | 0.017197 / 0.141683 (-0.124486) | 1.120944 / 1.452155 (-0.331211) | 1.161111 / 1.492716 (-0.331606) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092679 / 0.018006 (0.074672) | 0.299195 / 0.000490 (0.298705) | 0.000204 / 0.000200 (0.000004) | 0.000048 / 0.000054 (-0.000007) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022212 / 0.037411 (-0.015199) | 0.076734 / 0.014526 (0.062208) | 0.088326 / 0.176557 (-0.088230) | 0.128209 / 0.737135 (-0.608926) | 0.088807 / 0.296338 (-0.207531) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.291782 / 0.215209 (0.076573) | 2.882990 / 2.077655 (0.805335) | 1.601638 / 1.504120 (0.097518) | 1.457560 / 1.541195 (-0.083635) | 1.470517 / 1.468490 (0.002027) | 0.565738 / 4.584777 (-4.019039) | 0.949235 / 3.745712 (-2.796478) | 2.661927 / 5.269862 (-2.607934) | 1.722178 / 4.565676 (-2.843498) | 0.063680 / 0.424275 (-0.360595) | 0.005339 / 0.007607 (-0.002268) | 0.344280 / 0.226044 (0.118235) | 3.432998 / 2.268929 (1.164070) | 1.985516 / 55.444624 (-53.459108) | 1.651826 / 6.876477 (-5.224651) | 1.764541 / 2.142072 (-0.377531) | 0.640219 / 4.805227 (-4.165008) | 0.116541 / 6.500664 (-6.384124) | 0.041237 / 0.075469 (-0.034232) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.013927 / 1.841788 (-0.827861) | 11.876661 / 8.074308 (3.802353) | 10.264144 / 10.191392 (0.072752) | 0.131151 / 0.680424 (-0.549273) | 0.015774 / 0.534201 (-0.518427) | 0.284948 / 0.579283 (-0.294335) | 0.125924 / 0.434364 (-0.308439) | 0.319845 / 0.540337 (-0.220493) | 0.431978 / 1.386936 (-0.954958) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#68f67741ffde68c98d0a2f59ac4d8e3a7bc03065 \"CML watermark\")\n"
] | 2024-06-13T14:39:40 | 2024-06-13T17:31:37 | 2024-06-13 17:25:37+00:00 | CONTRIBUTOR | nan | To use `datasets` offline, one can use the `HF_DATASETS_OFFLINE` environment variable. This PR makes `HF_HUB_OFFLINE` the recommended environment variable for offline training. Goal is to be more consistent with the rest of HF ecosystem and have a single config value to set.
The changes are backward-compatible meaning that:
- `HF_DATASETS_OFFLINE` environment is still taken into account, though not documented
- `datasets.config.HF_DATASETS_OFFLINE` still exists, though it is not used anymore (in favor of `datasets.config.HF_HUB_OFFLINE`)
**Note:** it might break things in downstream libraries if they were monkeypatching `datasets.config.HF_DATASETS_OFFLINE` in their CI tests (for instance). Not much of a problem IMO. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6968/reactions', 'total_count': 1, '+1': 1, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6968/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6968', 'html_url': 'https://github.com/huggingface/datasets/pull/6968', 'diff_url': 'https://github.com/huggingface/datasets/pull/6968.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6968.patch', 'merged_at': '2024-06-13T17:25:37Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6967 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6967/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6967/comments | https://api.github.com/repos/huggingface/datasets/issues/6967/events | https://github.com/huggingface/datasets/issues/6967 | 2349146398 | I_kwDODunzps6MBSEe | 6967 | Method to load Laion400m | {'login': 'humanely', 'id': 6862868, 'node_id': 'MDQ6VXNlcjY4NjI4Njg=', 'avatar_url': 'https://avatars.githubusercontent.com/u/6862868?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/humanely', 'html_url': 'https://github.com/humanely', 'followers_url': 'https://api.github.com/users/humanely/followers', 'following_url': 'https://api.github.com/users/humanely/following{/other_user}', 'gists_url': 'https://api.github.com/users/humanely/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/humanely/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/humanely/subscriptions', 'organizations_url': 'https://api.github.com/users/humanely/orgs', 'repos_url': 'https://api.github.com/users/humanely/repos', 'events_url': 'https://api.github.com/users/humanely/events{/privacy}', 'received_events_url': 'https://api.github.com/users/humanely/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892871, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement', 'name': 'enhancement', 'color': 'a2eeef', 'default': True, 'description': 'New feature or request'}] | open | False | None | [] | None | [] | 2024-06-12T16:04:04 | 2024-06-12T16:04:04 | NaT | NONE | nan | ### Feature request
Large datasets like Laion400m are provided as embeddings. The provided methods in load_dataset are not straightforward for loading embedding files, i.e. img_emb_XX.npy ; XX = 0 to 99
### Motivation
The trial and experimentation is the key pivot of HF. It would be great if HF can load embeddings files s,ealessly.
### Your contribution
I cam write the loader with some help. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6967/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6967/timeline | nan | None | nan | None | true |
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005326 / 0.011353 (-0.006027) | 0.003448 / 0.011008 (-0.007560) | 0.062516 / 0.038508 (0.024008) | 0.030222 / 0.023109 (0.007113) | 0.237006 / 0.275898 (-0.038892) | 0.258224 / 0.323480 (-0.065256) | 0.003191 / 0.007986 (-0.004795) | 0.002768 / 0.004328 (-0.001560) | 0.048754 / 0.004250 (0.044504) | 0.043694 / 0.037052 (0.006641) | 0.248832 / 0.258489 (-0.009657) | 0.272217 / 0.293841 (-0.021624) | 0.029684 / 0.128546 (-0.098862) | 0.011997 / 0.075646 (-0.063650) | 0.204047 / 0.419271 (-0.215225) | 0.035944 / 0.043533 (-0.007589) | 0.242094 / 0.255139 (-0.013045) | 0.258897 / 0.283200 (-0.024303) | 0.019228 / 0.141683 (-0.122455) | 1.110193 / 1.452155 (-0.341961) | 1.166780 / 1.492716 (-0.325937) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097162 / 0.018006 (0.079156) | 0.303148 / 0.000490 (0.302659) | 0.000229 / 0.000200 (0.000029) | 0.000050 / 0.000054 (-0.000005) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019981 / 0.037411 (-0.017431) | 0.062669 / 0.014526 (0.048144) | 0.074801 / 0.176557 (-0.101756) | 0.120509 / 0.737135 (-0.616626) | 0.075957 / 0.296338 (-0.220382) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.279527 / 0.215209 (0.064318) | 2.722749 / 2.077655 (0.645094) | 1.441770 / 1.504120 (-0.062350) | 1.312172 / 1.541195 (-0.229023) | 1.329418 / 1.468490 (-0.139072) | 0.723939 / 4.584777 (-3.860838) | 2.359146 / 3.745712 (-1.386566) | 2.963445 / 5.269862 (-2.306416) | 1.881974 / 4.565676 (-2.683702) | 0.078189 / 0.424275 (-0.346086) | 0.005249 / 0.007607 (-0.002358) | 0.334508 / 0.226044 (0.108463) | 3.271961 / 2.268929 (1.003032) | 1.817365 / 55.444624 (-53.627259) | 1.522755 / 6.876477 (-5.353721) | 1.514203 / 2.142072 (-0.627870) | 0.803486 / 4.805227 (-4.001741) | 0.134189 / 6.500664 (-6.366475) | 0.042761 / 0.075469 (-0.032708) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.971126 / 1.841788 (-0.870662) | 11.367159 / 8.074308 (3.292851) | 9.520174 / 10.191392 (-0.671218) | 0.142705 / 0.680424 (-0.537719) | 0.014586 / 0.534201 (-0.519615) | 0.300869 / 0.579283 (-0.278414) | 0.263161 / 0.434364 (-0.171203) | 0.336403 / 0.540337 (-0.203935) | 0.436088 / 1.386936 (-0.950848) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005800 / 0.011353 (-0.005553) | 0.003906 / 0.011008 (-0.007103) | 0.050197 / 0.038508 (0.011689) | 0.031348 / 0.023109 (0.008238) | 0.265636 / 0.275898 (-0.010262) | 0.286550 / 0.323480 (-0.036930) | 0.004502 / 0.007986 (-0.003484) | 0.002828 / 0.004328 (-0.001501) | 0.049668 / 0.004250 (0.045417) | 0.039552 / 0.037052 (0.002499) | 0.279091 / 0.258489 (0.020602) | 0.309987 / 0.293841 (0.016146) | 0.032104 / 0.128546 (-0.096442) | 0.011989 / 0.075646 (-0.063657) | 0.059875 / 0.419271 (-0.359397) | 0.033446 / 0.043533 (-0.010087) | 0.265256 / 0.255139 (0.010117) | 0.285649 / 0.283200 (0.002449) | 0.018330 / 0.141683 (-0.123353) | 1.140073 / 1.452155 (-0.312081) | 1.194538 / 1.492716 (-0.298178) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.093692 / 0.018006 (0.075685) | 0.301422 / 0.000490 (0.300932) | 0.000216 / 0.000200 (0.000016) | 0.000051 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022844 / 0.037411 (-0.014568) | 0.077129 / 0.014526 (0.062603) | 0.087948 / 0.176557 (-0.088608) | 0.129905 / 0.737135 (-0.607230) | 0.089872 / 0.296338 (-0.206466) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.293135 / 0.215209 (0.077926) | 2.880280 / 2.077655 (0.802626) | 1.554250 / 1.504120 (0.050130) | 1.428005 / 1.541195 (-0.113190) | 1.520863 / 1.468490 (0.052373) | 0.759903 / 4.584777 (-3.824874) | 0.959674 / 3.745712 (-2.786038) | 2.848914 / 5.269862 (-2.420948) | 1.900355 / 4.565676 (-2.665322) | 0.079434 / 0.424275 (-0.344841) | 0.005487 / 0.007607 (-0.002121) | 0.344837 / 0.226044 (0.118793) | 3.401730 / 2.268929 (1.132802) | 1.887526 / 55.444624 (-53.557098) | 1.596821 / 6.876477 (-5.279655) | 1.732190 / 2.142072 (-0.409882) | 0.800929 / 4.805227 (-4.004299) | 0.132763 / 6.500664 (-6.367901) | 0.041185 / 0.075469 (-0.034284) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.994396 / 1.841788 (-0.847391) | 12.488692 / 8.074308 (4.414384) | 10.365952 / 10.191392 (0.174560) | 0.142951 / 0.680424 (-0.537472) | 0.015448 / 0.534201 (-0.518753) | 0.305577 / 0.579283 (-0.273706) | 0.126897 / 0.434364 (-0.307467) | 0.340784 / 0.540337 (-0.199554) | 0.461955 / 1.386936 (-0.924981) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#1d65718438ac4bc401468e57d5358e69012ed0c8 \"CML watermark\")\n"
] | 2024-06-12T14:32:11 | 2024-06-19T14:16:21 | 2024-06-19 14:10:11+00:00 | CONTRIBUTOR | nan | ## Before:
<img width="935" alt="image" src="https://github.com/huggingface/datasets/assets/35881688/93666e72-059b-4180-9e1d-ff176a3d9dac">
## After:
<img width="956" alt="image" src="https://github.com/huggingface/datasets/assets/35881688/75df7c3e-f473-44f0-a872-eeecf6a85fe2">
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https://api.github.com/repos/huggingface/datasets/issues/6965 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6965/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6965/comments | https://api.github.com/repos/huggingface/datasets/issues/6965/events | https://github.com/huggingface/datasets/pull/6965 | 2348653895 | PR_kwDODunzps5yOyNG | 6965 | Improve skip take shuffling and distributed | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6965). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005879 / 0.011353 (-0.005474) | 0.004144 / 0.011008 (-0.006865) | 0.063327 / 0.038508 (0.024819) | 0.032577 / 0.023109 (0.009468) | 0.242936 / 0.275898 (-0.032962) | 0.269882 / 0.323480 (-0.053598) | 0.003339 / 0.007986 (-0.004647) | 0.002901 / 0.004328 (-0.001428) | 0.049163 / 0.004250 (0.044912) | 0.047072 / 0.037052 (0.010019) | 0.261120 / 0.258489 (0.002631) | 0.287857 / 0.293841 (-0.005984) | 0.029688 / 0.128546 (-0.098858) | 0.012702 / 0.075646 (-0.062944) | 0.204040 / 0.419271 (-0.215231) | 0.036012 / 0.043533 (-0.007521) | 0.244210 / 0.255139 (-0.010929) | 0.267600 / 0.283200 (-0.015599) | 0.019627 / 0.141683 (-0.122056) | 1.103770 / 1.452155 (-0.348385) | 1.197710 / 1.492716 (-0.295006) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.101683 / 0.018006 (0.083677) | 0.311825 / 0.000490 (0.311335) | 0.000236 / 0.000200 (0.000036) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019642 / 0.037411 (-0.017769) | 0.061618 / 0.014526 (0.047092) | 0.075237 / 0.176557 (-0.101320) | 0.122250 / 0.737135 (-0.614886) | 0.076087 / 0.296338 (-0.220251) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.285120 / 0.215209 (0.069911) | 2.811527 / 2.077655 (0.733872) | 1.457961 / 1.504120 (-0.046159) | 1.333819 / 1.541195 (-0.207376) | 1.387863 / 1.468490 (-0.080627) | 0.730828 / 4.584777 (-3.853949) | 2.417224 / 3.745712 (-1.328488) | 2.994842 / 5.269862 (-2.275020) | 1.922079 / 4.565676 (-2.643598) | 0.087486 / 0.424275 (-0.336789) | 0.005211 / 0.007607 (-0.002396) | 0.335585 / 0.226044 (0.109541) | 3.297664 / 2.268929 (1.028735) | 1.809391 / 55.444624 (-53.635233) | 1.501646 / 6.876477 (-5.374831) | 1.567573 / 2.142072 (-0.574500) | 0.800816 / 4.805227 (-4.004411) | 0.134204 / 6.500664 (-6.366460) | 0.043156 / 0.075469 (-0.032313) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.982955 / 1.841788 (-0.858833) | 12.256850 / 8.074308 (4.182542) | 9.821500 / 10.191392 (-0.369892) | 0.143739 / 0.680424 (-0.536685) | 0.014425 / 0.534201 (-0.519776) | 0.302718 / 0.579283 (-0.276565) | 0.267746 / 0.434364 (-0.166618) | 0.340036 / 0.540337 (-0.200301) | 0.436211 / 1.386936 (-0.950725) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.006136 / 0.011353 (-0.005217) | 0.004125 / 0.011008 (-0.006883) | 0.050341 / 0.038508 (0.011833) | 0.034547 / 0.023109 (0.011438) | 0.270237 / 0.275898 (-0.005661) | 0.294503 / 0.323480 (-0.028977) | 0.004528 / 0.007986 (-0.003458) | 0.003103 / 0.004328 (-0.001225) | 0.048817 / 0.004250 (0.044566) | 0.041301 / 0.037052 (0.004249) | 0.279461 / 0.258489 (0.020972) | 0.319376 / 0.293841 (0.025535) | 0.032733 / 0.128546 (-0.095813) | 0.012426 / 0.075646 (-0.063221) | 0.060543 / 0.419271 (-0.358729) | 0.034015 / 0.043533 (-0.009518) | 0.267387 / 0.255139 (0.012248) | 0.288590 / 0.283200 (0.005390) | 0.019697 / 0.141683 (-0.121986) | 1.145994 / 1.452155 (-0.306161) | 1.198122 / 1.492716 (-0.294595) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.099091 / 0.018006 (0.081085) | 0.313767 / 0.000490 (0.313277) | 0.000220 / 0.000200 (0.000020) | 0.000054 / 0.000054 (-0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023219 / 0.037411 (-0.014192) | 0.083609 / 0.014526 (0.069084) | 0.089529 / 0.176557 (-0.087028) | 0.131025 / 0.737135 (-0.606110) | 0.091947 / 0.296338 (-0.204391) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.283711 / 0.215209 (0.068502) | 2.811702 / 2.077655 (0.734047) | 1.577720 / 1.504120 (0.073600) | 1.415700 / 1.541195 (-0.125495) | 1.436097 / 1.468490 (-0.032393) | 0.732090 / 4.584777 (-3.852687) | 0.990552 / 3.745712 (-2.755160) | 2.887319 / 5.269862 (-2.382543) | 1.923707 / 4.565676 (-2.641969) | 0.079361 / 0.424275 (-0.344915) | 0.005520 / 0.007607 (-0.002087) | 0.336684 / 0.226044 (0.110639) | 3.325342 / 2.268929 (1.056413) | 1.911853 / 55.444624 (-53.532771) | 1.621450 / 6.876477 (-5.255027) | 1.807964 / 2.142072 (-0.334109) | 0.813958 / 4.805227 (-3.991269) | 0.137564 / 6.500664 (-6.363100) | 0.043151 / 0.075469 (-0.032318) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.002775 / 1.841788 (-0.839013) | 12.526367 / 8.074308 (4.452058) | 10.426992 / 10.191392 (0.235600) | 0.134902 / 0.680424 (-0.545522) | 0.016726 / 0.534201 (-0.517475) | 0.303549 / 0.579283 (-0.275734) | 0.129334 / 0.434364 (-0.305030) | 0.339254 / 0.540337 (-0.201084) | 0.456845 / 1.386936 (-0.930091) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#c5464b32ce03739431235c13f314732201abcfac \"CML watermark\")\n"
] | 2024-06-12T12:30:27 | 2024-06-24T15:22:21 | 2024-06-24 15:16:16+00:00 | MEMBER | nan | set the right behavior of skip/take depending on whether it's called after or before shuffle/split_by_node | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6965/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6965/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6965', 'html_url': 'https://github.com/huggingface/datasets/pull/6965', 'diff_url': 'https://github.com/huggingface/datasets/pull/6965.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6965.patch', 'merged_at': '2024-06-24T15:16:16Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6964 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6964/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6964/comments | https://api.github.com/repos/huggingface/datasets/issues/6964/events | https://github.com/huggingface/datasets/pull/6964 | 2344973229 | PR_kwDODunzps5yCNGa | 6964 | Fix resuming arrow format | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6964). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005735 / 0.011353 (-0.005618) | 0.003746 / 0.011008 (-0.007263) | 0.063115 / 0.038508 (0.024606) | 0.033557 / 0.023109 (0.010447) | 0.247599 / 0.275898 (-0.028299) | 0.275310 / 0.323480 (-0.048170) | 0.004203 / 0.007986 (-0.003783) | 0.002770 / 0.004328 (-0.001558) | 0.050951 / 0.004250 (0.046700) | 0.046609 / 0.037052 (0.009557) | 0.256237 / 0.258489 (-0.002252) | 0.292050 / 0.293841 (-0.001791) | 0.027991 / 0.128546 (-0.100556) | 0.010367 / 0.075646 (-0.065279) | 0.202295 / 0.419271 (-0.216977) | 0.037287 / 0.043533 (-0.006246) | 0.250330 / 0.255139 (-0.004809) | 0.281250 / 0.283200 (-0.001950) | 0.018832 / 0.141683 (-0.122851) | 1.117303 / 1.452155 (-0.334852) | 1.141593 / 1.492716 (-0.351123) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097318 / 0.018006 (0.079312) | 0.304853 / 0.000490 (0.304364) | 0.000220 / 0.000200 (0.000020) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.020353 / 0.037411 (-0.017058) | 0.065497 / 0.014526 (0.050971) | 0.076205 / 0.176557 (-0.100351) | 0.122471 / 0.737135 (-0.614665) | 0.079522 / 0.296338 (-0.216816) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.282604 / 0.215209 (0.067395) | 2.743198 / 2.077655 (0.665543) | 1.480436 / 1.504120 (-0.023684) | 1.373935 / 1.541195 (-0.167260) | 1.388901 / 1.468490 (-0.079589) | 0.571961 / 4.584777 (-4.012816) | 2.431790 / 3.745712 (-1.313922) | 2.942126 / 5.269862 (-2.327736) | 1.857361 / 4.565676 (-2.708316) | 0.063535 / 0.424275 (-0.360740) | 0.005039 / 0.007607 (-0.002568) | 0.331726 / 0.226044 (0.105682) | 3.282504 / 2.268929 (1.013576) | 1.852303 / 55.444624 (-53.592321) | 1.506665 / 6.876477 (-5.369812) | 1.577524 / 2.142072 (-0.564548) | 0.646267 / 4.805227 (-4.158960) | 0.118706 / 6.500664 (-6.381958) | 0.043437 / 0.075469 (-0.032033) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.978073 / 1.841788 (-0.863714) | 12.028575 / 8.074308 (3.954267) | 10.066303 / 10.191392 (-0.125090) | 0.131763 / 0.680424 (-0.548661) | 0.016479 / 0.534201 (-0.517722) | 0.286012 / 0.579283 (-0.293271) | 0.266824 / 0.434364 (-0.167540) | 0.328452 / 0.540337 (-0.211885) | 0.414562 / 1.386936 (-0.972374) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005943 / 0.011353 (-0.005409) | 0.003992 / 0.011008 (-0.007016) | 0.051159 / 0.038508 (0.012651) | 0.033805 / 0.023109 (0.010695) | 0.268425 / 0.275898 (-0.007474) | 0.295662 / 0.323480 (-0.027818) | 0.004473 / 0.007986 (-0.003512) | 0.002910 / 0.004328 (-0.001418) | 0.048595 / 0.004250 (0.044345) | 0.043724 / 0.037052 (0.006671) | 0.280552 / 0.258489 (0.022063) | 0.319052 / 0.293841 (0.025211) | 0.031269 / 0.128546 (-0.097278) | 0.010976 / 0.075646 (-0.064671) | 0.060128 / 0.419271 (-0.359144) | 0.034198 / 0.043533 (-0.009335) | 0.269664 / 0.255139 (0.014525) | 0.292249 / 0.283200 (0.009049) | 0.019950 / 0.141683 (-0.121733) | 1.143073 / 1.452155 (-0.309082) | 1.188553 / 1.492716 (-0.304164) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095188 / 0.018006 (0.077182) | 0.300207 / 0.000490 (0.299717) | 0.000205 / 0.000200 (0.000005) | 0.000051 / 0.000054 (-0.000003) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023610 / 0.037411 (-0.013802) | 0.082868 / 0.014526 (0.068342) | 0.089059 / 0.176557 (-0.087498) | 0.131735 / 0.737135 (-0.605401) | 0.091467 / 0.296338 (-0.204872) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.302497 / 0.215209 (0.087287) | 2.985794 / 2.077655 (0.908140) | 1.590783 / 1.504120 (0.086663) | 1.468819 / 1.541195 (-0.072375) | 1.503115 / 1.468490 (0.034625) | 0.575109 / 4.584777 (-4.009668) | 0.972370 / 3.745712 (-2.773342) | 2.727976 / 5.269862 (-2.541886) | 1.793438 / 4.565676 (-2.772238) | 0.068840 / 0.424275 (-0.355435) | 0.005440 / 0.007607 (-0.002167) | 0.351843 / 0.226044 (0.125799) | 3.523108 / 2.268929 (1.254180) | 1.928576 / 55.444624 (-53.516049) | 1.627939 / 6.876477 (-5.248538) | 1.837618 / 2.142072 (-0.304454) | 0.669351 / 4.805227 (-4.135876) | 0.121822 / 6.500664 (-6.378842) | 0.042056 / 0.075469 (-0.033413) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.020081 / 1.841788 (-0.821707) | 13.417448 / 8.074308 (5.343140) | 10.974516 / 10.191392 (0.783124) | 0.135240 / 0.680424 (-0.545184) | 0.017581 / 0.534201 (-0.516620) | 0.289080 / 0.579283 (-0.290203) | 0.127679 / 0.434364 (-0.306685) | 0.331818 / 0.540337 (-0.208520) | 0.453143 / 1.386936 (-0.933793) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#ef2fb358433678b322d275c0bdee3239fa6485b2 \"CML watermark\")\n"
] | 2024-06-10T22:40:33 | 2024-06-14T15:04:49 | 2024-06-14 14:58:37+00:00 | MEMBER | nan | following https://github.com/huggingface/datasets/pull/6658 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6964/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6964/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6964', 'html_url': 'https://github.com/huggingface/datasets/pull/6964', 'diff_url': 'https://github.com/huggingface/datasets/pull/6964.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6964.patch', 'merged_at': '2024-06-14T14:58:37Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6963 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6963/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6963/comments | https://api.github.com/repos/huggingface/datasets/issues/6963/events | https://github.com/huggingface/datasets/pull/6963 | 2344269477 | PR_kwDODunzps5x_yu- | 6963 | [Streaming] retry on requests errors | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6963). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"ci failures are r-unrelated to this PR, merging",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005532 / 0.011353 (-0.005821) | 0.004018 / 0.011008 (-0.006991) | 0.064685 / 0.038508 (0.026177) | 0.031303 / 0.023109 (0.008194) | 0.254670 / 0.275898 (-0.021228) | 0.271357 / 0.323480 (-0.052123) | 0.003372 / 0.007986 (-0.004614) | 0.004153 / 0.004328 (-0.000175) | 0.050381 / 0.004250 (0.046131) | 0.046837 / 0.037052 (0.009784) | 0.253166 / 0.258489 (-0.005323) | 0.294257 / 0.293841 (0.000416) | 0.029746 / 0.128546 (-0.098800) | 0.012519 / 0.075646 (-0.063127) | 0.208822 / 0.419271 (-0.210449) | 0.036925 / 0.043533 (-0.006608) | 0.247636 / 0.255139 (-0.007503) | 0.269102 / 0.283200 (-0.014097) | 0.019021 / 0.141683 (-0.122662) | 1.138825 / 1.452155 (-0.313330) | 1.203301 / 1.492716 (-0.289415) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095950 / 0.018006 (0.077944) | 0.303347 / 0.000490 (0.302857) | 0.000221 / 0.000200 (0.000022) | 0.000042 / 0.000054 (-0.000012) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019014 / 0.037411 (-0.018397) | 0.062220 / 0.014526 (0.047694) | 0.074811 / 0.176557 (-0.101745) | 0.122917 / 0.737135 (-0.614218) | 0.075765 / 0.296338 (-0.220574) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.288359 / 0.215209 (0.073150) | 2.849491 / 2.077655 (0.771837) | 1.479448 / 1.504120 (-0.024672) | 1.350560 / 1.541195 (-0.190635) | 1.366079 / 1.468490 (-0.102411) | 0.733609 / 4.584777 (-3.851168) | 2.416014 / 3.745712 (-1.329698) | 2.954834 / 5.269862 (-2.315028) | 1.985703 / 4.565676 (-2.579974) | 0.080589 / 0.424275 (-0.343686) | 0.005581 / 0.007607 (-0.002026) | 0.343706 / 0.226044 (0.117661) | 3.416257 / 2.268929 (1.147329) | 1.865937 / 55.444624 (-53.578687) | 1.545911 / 6.876477 (-5.330566) | 1.711004 / 2.142072 (-0.431069) | 0.821231 / 4.805227 (-3.983996) | 0.138865 / 6.500664 (-6.361799) | 0.046466 / 0.075469 (-0.029003) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.965632 / 1.841788 (-0.876155) | 11.812101 / 8.074308 (3.737792) | 9.399156 / 10.191392 (-0.792236) | 0.143325 / 0.680424 (-0.537099) | 0.014824 / 0.534201 (-0.519377) | 0.306143 / 0.579283 (-0.273140) | 0.264063 / 0.434364 (-0.170301) | 0.347820 / 0.540337 (-0.192517) | 0.476818 / 1.386936 (-0.910118) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005978 / 0.011353 (-0.005375) | 0.004482 / 0.011008 (-0.006526) | 0.053788 / 0.038508 (0.015280) | 0.033963 / 0.023109 (0.010853) | 0.267258 / 0.275898 (-0.008640) | 0.290916 / 0.323480 (-0.032563) | 0.004485 / 0.007986 (-0.003500) | 0.002876 / 0.004328 (-0.001453) | 0.048637 / 0.004250 (0.044386) | 0.042050 / 0.037052 (0.004997) | 0.278607 / 0.258489 (0.020118) | 0.315411 / 0.293841 (0.021570) | 0.032059 / 0.128546 (-0.096487) | 0.012851 / 0.075646 (-0.062795) | 0.061672 / 0.419271 (-0.357600) | 0.034545 / 0.043533 (-0.008988) | 0.262068 / 0.255139 (0.006929) | 0.291197 / 0.283200 (0.007997) | 0.019092 / 0.141683 (-0.122591) | 1.108690 / 1.452155 (-0.343464) | 1.161025 / 1.492716 (-0.331691) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096775 / 0.018006 (0.078768) | 0.306825 / 0.000490 (0.306335) | 0.000210 / 0.000200 (0.000010) | 0.000054 / 0.000054 (-0.000000) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023160 / 0.037411 (-0.014251) | 0.078794 / 0.014526 (0.064268) | 0.088954 / 0.176557 (-0.087602) | 0.129488 / 0.737135 (-0.607648) | 0.091239 / 0.296338 (-0.205099) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.292911 / 0.215209 (0.077702) | 2.910802 / 2.077655 (0.833148) | 1.569310 / 1.504120 (0.065191) | 1.433807 / 1.541195 (-0.107388) | 1.478619 / 1.468490 (0.010129) | 0.720982 / 4.584777 (-3.863795) | 0.972104 / 3.745712 (-2.773608) | 3.026941 / 5.269862 (-2.242921) | 1.919170 / 4.565676 (-2.646506) | 0.079292 / 0.424275 (-0.344983) | 0.005227 / 0.007607 (-0.002380) | 0.345363 / 0.226044 (0.119319) | 3.416149 / 2.268929 (1.147221) | 1.938377 / 55.444624 (-53.506248) | 1.626037 / 6.876477 (-5.250440) | 1.644405 / 2.142072 (-0.497668) | 0.802485 / 4.805227 (-4.002742) | 0.135114 / 6.500664 (-6.365550) | 0.042015 / 0.075469 (-0.033454) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.014812 / 1.841788 (-0.826976) | 12.583844 / 8.074308 (4.509536) | 10.522495 / 10.191392 (0.331103) | 0.143336 / 0.680424 (-0.537088) | 0.015843 / 0.534201 (-0.518357) | 0.306556 / 0.579283 (-0.272727) | 0.129654 / 0.434364 (-0.304710) | 0.340442 / 0.540337 (-0.199896) | 0.445220 / 1.386936 (-0.941716) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#5cab892dcd26fb51938634e13e300c6611ab66e0 \"CML watermark\")\n"
] | 2024-06-10T15:51:56 | 2024-06-28T09:53:11 | 2024-06-28 09:46:52+00:00 | MEMBER | nan | reported in https://discuss.huggingface.co/t/speeding-up-streaming-of-large-datasets-fineweb/90714/6 when training using a streaming a dataloader
cc @Wauplin it looks like the retries from `hfh` are not always enough. In this PR I let `datasets` do additional retries (that users can configure in `datasets.config`) since I couldn't find an easy way to increase the max_retries for `hfh` users in general. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6963/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6963/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6963', 'html_url': 'https://github.com/huggingface/datasets/pull/6963', 'diff_url': 'https://github.com/huggingface/datasets/pull/6963.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6963.patch', 'merged_at': '2024-06-28T09:46:52Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6962 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6962/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6962/comments | https://api.github.com/repos/huggingface/datasets/issues/6962/events | https://github.com/huggingface/datasets/pull/6962 | 2343394378 | PR_kwDODunzps5x8yHt | 6962 | fix(ci): remove unnecessary permissions | {'login': 'McPatate', 'id': 9112841, 'node_id': 'MDQ6VXNlcjkxMTI4NDE=', 'avatar_url': 'https://avatars.githubusercontent.com/u/9112841?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/McPatate', 'html_url': 'https://github.com/McPatate', 'followers_url': 'https://api.github.com/users/McPatate/followers', 'following_url': 'https://api.github.com/users/McPatate/following{/other_user}', 'gists_url': 'https://api.github.com/users/McPatate/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/McPatate/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/McPatate/subscriptions', 'organizations_url': 'https://api.github.com/users/McPatate/orgs', 'repos_url': 'https://api.github.com/users/McPatate/repos', 'events_url': 'https://api.github.com/users/McPatate/events{/privacy}', 'received_events_url': 'https://api.github.com/users/McPatate/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6962). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005520 / 0.011353 (-0.005833) | 0.003989 / 0.011008 (-0.007019) | 0.064786 / 0.038508 (0.026278) | 0.031075 / 0.023109 (0.007966) | 0.241619 / 0.275898 (-0.034279) | 0.275341 / 0.323480 (-0.048139) | 0.003139 / 0.007986 (-0.004847) | 0.002820 / 0.004328 (-0.001508) | 0.049766 / 0.004250 (0.045515) | 0.045047 / 0.037052 (0.007995) | 0.251906 / 0.258489 (-0.006583) | 0.285889 / 0.293841 (-0.007952) | 0.028297 / 0.128546 (-0.100249) | 0.010683 / 0.075646 (-0.064963) | 0.206467 / 0.419271 (-0.212805) | 0.036267 / 0.043533 (-0.007266) | 0.250720 / 0.255139 (-0.004419) | 0.268565 / 0.283200 (-0.014635) | 0.020394 / 0.141683 (-0.121289) | 1.114283 / 1.452155 (-0.337872) | 1.163884 / 1.492716 (-0.328833) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.112698 / 0.018006 (0.094692) | 0.302740 / 0.000490 (0.302251) | 0.000209 / 0.000200 (0.000009) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019337 / 0.037411 (-0.018075) | 0.062854 / 0.014526 (0.048328) | 0.077088 / 0.176557 (-0.099468) | 0.120926 / 0.737135 (-0.616209) | 0.075594 / 0.296338 (-0.220744) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.290787 / 0.215209 (0.075578) | 2.867894 / 2.077655 (0.790239) | 1.490043 / 1.504120 (-0.014076) | 1.356383 / 1.541195 (-0.184812) | 1.400229 / 1.468490 (-0.068261) | 0.582076 / 4.584777 (-4.002701) | 2.398270 / 3.745712 (-1.347442) | 2.856459 / 5.269862 (-2.413403) | 1.815545 / 4.565676 (-2.750131) | 0.063259 / 0.424275 (-0.361016) | 0.005056 / 0.007607 (-0.002551) | 0.347699 / 0.226044 (0.121655) | 3.466511 / 2.268929 (1.197582) | 1.862096 / 55.444624 (-53.582528) | 1.532324 / 6.876477 (-5.344152) | 1.599411 / 2.142072 (-0.542661) | 0.657350 / 4.805227 (-4.147878) | 0.118981 / 6.500664 (-6.381683) | 0.042224 / 0.075469 (-0.033245) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.965649 / 1.841788 (-0.876139) | 11.896501 / 8.074308 (3.822193) | 9.873923 / 10.191392 (-0.317469) | 0.141165 / 0.680424 (-0.539258) | 0.013885 / 0.534201 (-0.520316) | 0.291464 / 0.579283 (-0.287819) | 0.273153 / 0.434364 (-0.161211) | 0.324395 / 0.540337 (-0.215942) | 0.422040 / 1.386936 (-0.964897) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005640 / 0.011353 (-0.005713) | 0.004035 / 0.011008 (-0.006973) | 0.050831 / 0.038508 (0.012323) | 0.032841 / 0.023109 (0.009732) | 0.272226 / 0.275898 (-0.003672) | 0.297880 / 0.323480 (-0.025599) | 0.004397 / 0.007986 (-0.003588) | 0.002762 / 0.004328 (-0.001566) | 0.049887 / 0.004250 (0.045637) | 0.040372 / 0.037052 (0.003320) | 0.286337 / 0.258489 (0.027848) | 0.320015 / 0.293841 (0.026174) | 0.029992 / 0.128546 (-0.098554) | 0.010781 / 0.075646 (-0.064865) | 0.059391 / 0.419271 (-0.359880) | 0.034410 / 0.043533 (-0.009123) | 0.273024 / 0.255139 (0.017885) | 0.288953 / 0.283200 (0.005754) | 0.018072 / 0.141683 (-0.123611) | 1.125742 / 1.452155 (-0.326413) | 1.175233 / 1.492716 (-0.317483) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.093470 / 0.018006 (0.075463) | 0.313248 / 0.000490 (0.312758) | 0.000324 / 0.000200 (0.000124) | 0.000081 / 0.000054 (0.000026) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023529 / 0.037411 (-0.013882) | 0.077305 / 0.014526 (0.062779) | 0.088916 / 0.176557 (-0.087640) | 0.128792 / 0.737135 (-0.608344) | 0.090141 / 0.296338 (-0.206197) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.291110 / 0.215209 (0.075901) | 2.848118 / 2.077655 (0.770464) | 1.581664 / 1.504120 (0.077544) | 1.446390 / 1.541195 (-0.094804) | 1.452594 / 1.468490 (-0.015896) | 0.571213 / 4.584777 (-4.013564) | 0.976382 / 3.745712 (-2.769330) | 2.756192 / 5.269862 (-2.513670) | 1.770274 / 4.565676 (-2.795403) | 0.064513 / 0.424275 (-0.359763) | 0.005334 / 0.007607 (-0.002273) | 0.347380 / 0.226044 (0.121335) | 3.424800 / 2.268929 (1.155871) | 1.942374 / 55.444624 (-53.502250) | 1.636069 / 6.876477 (-5.240407) | 1.795327 / 2.142072 (-0.346745) | 0.658942 / 4.805227 (-4.146285) | 0.119542 / 6.500664 (-6.381123) | 0.041826 / 0.075469 (-0.033643) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.007230 / 1.841788 (-0.834558) | 12.293084 / 8.074308 (4.218776) | 10.618104 / 10.191392 (0.426712) | 0.133691 / 0.680424 (-0.546733) | 0.015725 / 0.534201 (-0.518476) | 0.288860 / 0.579283 (-0.290423) | 0.130546 / 0.434364 (-0.303818) | 0.327279 / 0.540337 (-0.213059) | 0.428768 / 1.386936 (-0.958168) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#af3acfdfcf76bb980dbac871540e30c2cade0cf9 \"CML watermark\")\n"
] | 2024-06-10T09:28:02 | 2024-06-11T08:31:52 | 2024-06-11 08:25:47+00:00 | MEMBER | nan | ### What does this PR do?
Remove unnecessary permissions granted to the actions workflow.
Sorry for the mishap. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6962/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6962/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6962', 'html_url': 'https://github.com/huggingface/datasets/pull/6962', 'diff_url': 'https://github.com/huggingface/datasets/pull/6962.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6962.patch', 'merged_at': '2024-06-11T08:25:47Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6961 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6961/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6961/comments | https://api.github.com/repos/huggingface/datasets/issues/6961/events | https://github.com/huggingface/datasets/issues/6961 | 2342022418 | I_kwDODunzps6LmG0S | 6961 | Manual downloads should count as downloads | {'login': 'umarbutler', 'id': 8473183, 'node_id': 'MDQ6VXNlcjg0NzMxODM=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8473183?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/umarbutler', 'html_url': 'https://github.com/umarbutler', 'followers_url': 'https://api.github.com/users/umarbutler/followers', 'following_url': 'https://api.github.com/users/umarbutler/following{/other_user}', 'gists_url': 'https://api.github.com/users/umarbutler/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/umarbutler/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/umarbutler/subscriptions', 'organizations_url': 'https://api.github.com/users/umarbutler/orgs', 'repos_url': 'https://api.github.com/users/umarbutler/repos', 'events_url': 'https://api.github.com/users/umarbutler/events{/privacy}', 'received_events_url': 'https://api.github.com/users/umarbutler/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892871, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement', 'name': 'enhancement', 'color': 'a2eeef', 'default': True, 'description': 'New feature or request'}] | open | False | None | [] | None | [
"We're unlikely to add more features/support for datasets with python loading scripts, which include datasets with manual download. Sorry for the inconvenience"
] | 2024-06-09T04:52:06 | 2024-06-13T16:05:00 | NaT | NONE | nan | ### Feature request
I would like to request that manual downloads of data files from Hugging Face dataset repositories count as downloads of a dataset. According to the documentation for the Hugging Face Hub, that is currently not the case: https://huggingface.co/docs/hub/en/datasets-download-stats
### Motivation
This would ensure that downloads are accurately reported to end users.
### Your contribution
N/A | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6961/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6961/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6960 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6960/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6960/comments | https://api.github.com/repos/huggingface/datasets/issues/6960/events | https://github.com/huggingface/datasets/pull/6960 | 2340791685 | PR_kwDODunzps5x0R3T | 6960 | feat(ci): add trufflehog secrets detection | {'login': 'McPatate', 'id': 9112841, 'node_id': 'MDQ6VXNlcjkxMTI4NDE=', 'avatar_url': 'https://avatars.githubusercontent.com/u/9112841?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/McPatate', 'html_url': 'https://github.com/McPatate', 'followers_url': 'https://api.github.com/users/McPatate/followers', 'following_url': 'https://api.github.com/users/McPatate/following{/other_user}', 'gists_url': 'https://api.github.com/users/McPatate/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/McPatate/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/McPatate/subscriptions', 'organizations_url': 'https://api.github.com/users/McPatate/orgs', 'repos_url': 'https://api.github.com/users/McPatate/repos', 'events_url': 'https://api.github.com/users/McPatate/events{/privacy}', 'received_events_url': 'https://api.github.com/users/McPatate/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6960). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Yes!",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005007 / 0.011353 (-0.006346) | 0.003603 / 0.011008 (-0.007405) | 0.062719 / 0.038508 (0.024211) | 0.029327 / 0.023109 (0.006217) | 0.250360 / 0.275898 (-0.025538) | 0.265095 / 0.323480 (-0.058385) | 0.004205 / 0.007986 (-0.003781) | 0.002713 / 0.004328 (-0.001616) | 0.049209 / 0.004250 (0.044958) | 0.045162 / 0.037052 (0.008110) | 0.260439 / 0.258489 (0.001950) | 0.287778 / 0.293841 (-0.006063) | 0.027458 / 0.128546 (-0.101088) | 0.010169 / 0.075646 (-0.065477) | 0.199487 / 0.419271 (-0.219784) | 0.036584 / 0.043533 (-0.006949) | 0.254523 / 0.255139 (-0.000616) | 0.269902 / 0.283200 (-0.013298) | 0.017138 / 0.141683 (-0.124545) | 1.099285 / 1.452155 (-0.352869) | 1.150878 / 1.492716 (-0.341839) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092868 / 0.018006 (0.074862) | 0.300421 / 0.000490 (0.299932) | 0.000213 / 0.000200 (0.000013) | 0.000053 / 0.000054 (-0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018810 / 0.037411 (-0.018601) | 0.062341 / 0.014526 (0.047815) | 0.074779 / 0.176557 (-0.101777) | 0.120641 / 0.737135 (-0.616494) | 0.075020 / 0.296338 (-0.221318) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.277782 / 0.215209 (0.062573) | 2.716427 / 2.077655 (0.638772) | 1.434204 / 1.504120 (-0.069916) | 1.335990 / 1.541195 (-0.205205) | 1.336636 / 1.468490 (-0.131854) | 0.557562 / 4.584777 (-4.027215) | 2.323517 / 3.745712 (-1.422196) | 2.647937 / 5.269862 (-2.621925) | 1.728735 / 4.565676 (-2.836941) | 0.061888 / 0.424275 (-0.362387) | 0.004981 / 0.007607 (-0.002627) | 0.329429 / 0.226044 (0.103385) | 3.324708 / 2.268929 (1.055779) | 1.832641 / 55.444624 (-53.611983) | 1.514386 / 6.876477 (-5.362091) | 1.656912 / 2.142072 (-0.485160) | 0.630706 / 4.805227 (-4.174521) | 0.116250 / 6.500664 (-6.384414) | 0.042598 / 0.075469 (-0.032871) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.969217 / 1.841788 (-0.872570) | 11.232580 / 8.074308 (3.158272) | 9.541306 / 10.191392 (-0.650086) | 0.139544 / 0.680424 (-0.540880) | 0.014441 / 0.534201 (-0.519760) | 0.285834 / 0.579283 (-0.293449) | 0.261950 / 0.434364 (-0.172414) | 0.325449 / 0.540337 (-0.214889) | 0.415501 / 1.386936 (-0.971435) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005422 / 0.011353 (-0.005931) | 0.003528 / 0.011008 (-0.007480) | 0.049582 / 0.038508 (0.011074) | 0.032683 / 0.023109 (0.009574) | 0.277309 / 0.275898 (0.001411) | 0.298598 / 0.323480 (-0.024882) | 0.004325 / 0.007986 (-0.003661) | 0.002741 / 0.004328 (-0.001588) | 0.047933 / 0.004250 (0.043683) | 0.040778 / 0.037052 (0.003726) | 0.287492 / 0.258489 (0.029003) | 0.311408 / 0.293841 (0.017567) | 0.029482 / 0.128546 (-0.099064) | 0.010630 / 0.075646 (-0.065016) | 0.057745 / 0.419271 (-0.361526) | 0.033501 / 0.043533 (-0.010031) | 0.279880 / 0.255139 (0.024741) | 0.297421 / 0.283200 (0.014221) | 0.017907 / 0.141683 (-0.123776) | 1.152221 / 1.452155 (-0.299934) | 1.189332 / 1.492716 (-0.303385) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094464 / 0.018006 (0.076457) | 0.300769 / 0.000490 (0.300279) | 0.000196 / 0.000200 (-0.000004) | 0.000050 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022232 / 0.037411 (-0.015179) | 0.076626 / 0.014526 (0.062100) | 0.087807 / 0.176557 (-0.088750) | 0.128847 / 0.737135 (-0.608288) | 0.092135 / 0.296338 (-0.204203) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.299013 / 0.215209 (0.083804) | 2.929788 / 2.077655 (0.852133) | 1.614185 / 1.504120 (0.110065) | 1.486720 / 1.541195 (-0.054475) | 1.492473 / 1.468490 (0.023983) | 0.563699 / 4.584777 (-4.021078) | 0.928820 / 3.745712 (-2.816892) | 2.597271 / 5.269862 (-2.672590) | 1.716534 / 4.565676 (-2.849142) | 0.062568 / 0.424275 (-0.361707) | 0.005168 / 0.007607 (-0.002439) | 0.353781 / 0.226044 (0.127737) | 3.493732 / 2.268929 (1.224803) | 2.018343 / 55.444624 (-53.426282) | 1.694516 / 6.876477 (-5.181961) | 1.796950 / 2.142072 (-0.345123) | 0.634846 / 4.805227 (-4.170382) | 0.115230 / 6.500664 (-6.385434) | 0.040816 / 0.075469 (-0.034654) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.986212 / 1.841788 (-0.855575) | 11.954392 / 8.074308 (3.880084) | 10.299670 / 10.191392 (0.108278) | 0.128358 / 0.680424 (-0.552066) | 0.016313 / 0.534201 (-0.517888) | 0.289621 / 0.579283 (-0.289662) | 0.124708 / 0.434364 (-0.309656) | 0.325269 / 0.540337 (-0.215068) | 0.415133 / 1.386936 (-0.971803) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#97513be330114a8aa07e5199ec252ac662aeb76d \"CML watermark\")\n"
] | 2024-06-07T16:18:23 | 2024-06-08T14:58:27 | 2024-06-08 14:52:18+00:00 | MEMBER | nan | ### What does this PR do?
Adding a GH action to scan for leaked secrets on each commit.
| {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6960/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6960/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6960', 'html_url': 'https://github.com/huggingface/datasets/pull/6960', 'diff_url': 'https://github.com/huggingface/datasets/pull/6960.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6960.patch', 'merged_at': '2024-06-08T14:52:18Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6959 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6959/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6959/comments | https://api.github.com/repos/huggingface/datasets/issues/6959/events | https://github.com/huggingface/datasets/pull/6959 | 2340229908 | PR_kwDODunzps5xyVt6 | 6959 | Better error handling in `dataset_module_factory` | {'login': 'Wauplin', 'id': 11801849, 'node_id': 'MDQ6VXNlcjExODAxODQ5', 'avatar_url': 'https://avatars.githubusercontent.com/u/11801849?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/Wauplin', 'html_url': 'https://github.com/Wauplin', 'followers_url': 'https://api.github.com/users/Wauplin/followers', 'following_url': 'https://api.github.com/users/Wauplin/following{/other_user}', 'gists_url': 'https://api.github.com/users/Wauplin/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/Wauplin/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/Wauplin/subscriptions', 'organizations_url': 'https://api.github.com/users/Wauplin/orgs', 'repos_url': 'https://api.github.com/users/Wauplin/repos', 'events_url': 'https://api.github.com/users/Wauplin/events{/privacy}', 'received_events_url': 'https://api.github.com/users/Wauplin/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6959). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Test should be fixed by https://github.com/huggingface/datasets/pull/6959/commits/ef8f7cee79ffb070d9b5190f21128fc523b3d3ee (tested locally). Let's see what CI says :crossed_fingers: ",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005678 / 0.011353 (-0.005675) | 0.004119 / 0.011008 (-0.006889) | 0.063901 / 0.038508 (0.025393) | 0.032071 / 0.023109 (0.008961) | 0.243182 / 0.275898 (-0.032716) | 0.280709 / 0.323480 (-0.042770) | 0.004195 / 0.007986 (-0.003791) | 0.002810 / 0.004328 (-0.001518) | 0.048722 / 0.004250 (0.044472) | 0.049381 / 0.037052 (0.012328) | 0.257816 / 0.258489 (-0.000673) | 0.288460 / 0.293841 (-0.005381) | 0.028518 / 0.128546 (-0.100029) | 0.010775 / 0.075646 (-0.064871) | 0.203149 / 0.419271 (-0.216122) | 0.038792 / 0.043533 (-0.004741) | 0.248502 / 0.255139 (-0.006637) | 0.268251 / 0.283200 (-0.014949) | 0.019536 / 0.141683 (-0.122147) | 1.133935 / 1.452155 (-0.318220) | 1.182855 / 1.492716 (-0.309862) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097531 / 0.018006 (0.079525) | 0.303612 / 0.000490 (0.303122) | 0.000222 / 0.000200 (0.000022) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019670 / 0.037411 (-0.017741) | 0.063439 / 0.014526 (0.048913) | 0.075119 / 0.176557 (-0.101438) | 0.122419 / 0.737135 (-0.614717) | 0.076965 / 0.296338 (-0.219374) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.286780 / 0.215209 (0.071571) | 2.811860 / 2.077655 (0.734206) | 1.485165 / 1.504120 (-0.018954) | 1.373296 / 1.541195 (-0.167898) | 1.412700 / 1.468490 (-0.055790) | 0.566442 / 4.584777 (-4.018335) | 2.382616 / 3.745712 (-1.363096) | 2.677214 / 5.269862 (-2.592647) | 1.760073 / 4.565676 (-2.805603) | 0.062673 / 0.424275 (-0.361602) | 0.005050 / 0.007607 (-0.002557) | 0.341701 / 0.226044 (0.115657) | 3.321182 / 2.268929 (1.052253) | 1.811715 / 55.444624 (-53.632909) | 1.554986 / 6.876477 (-5.321491) | 1.727448 / 2.142072 (-0.414624) | 0.642193 / 4.805227 (-4.163034) | 0.117878 / 6.500664 (-6.382786) | 0.042814 / 0.075469 (-0.032655) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.985894 / 1.841788 (-0.855894) | 12.195975 / 8.074308 (4.121667) | 9.890180 / 10.191392 (-0.301212) | 0.142638 / 0.680424 (-0.537786) | 0.015207 / 0.534201 (-0.518994) | 0.283140 / 0.579283 (-0.296143) | 0.266016 / 0.434364 (-0.168348) | 0.325518 / 0.540337 (-0.214820) | 0.418994 / 1.386936 (-0.967942) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005978 / 0.011353 (-0.005374) | 0.003915 / 0.011008 (-0.007093) | 0.051592 / 0.038508 (0.013084) | 0.033338 / 0.023109 (0.010229) | 0.267925 / 0.275898 (-0.007973) | 0.296011 / 0.323480 (-0.027469) | 0.004503 / 0.007986 (-0.003483) | 0.002854 / 0.004328 (-0.001475) | 0.049958 / 0.004250 (0.045707) | 0.041708 / 0.037052 (0.004656) | 0.287185 / 0.258489 (0.028696) | 0.322715 / 0.293841 (0.028874) | 0.030088 / 0.128546 (-0.098458) | 0.010709 / 0.075646 (-0.064938) | 0.059736 / 0.419271 (-0.359536) | 0.034294 / 0.043533 (-0.009239) | 0.264316 / 0.255139 (0.009177) | 0.285471 / 0.283200 (0.002272) | 0.019197 / 0.141683 (-0.122486) | 1.135571 / 1.452155 (-0.316583) | 1.190019 / 1.492716 (-0.302698) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.099251 / 0.018006 (0.081245) | 0.305357 / 0.000490 (0.304867) | 0.000215 / 0.000200 (0.000015) | 0.000045 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023206 / 0.037411 (-0.014205) | 0.077835 / 0.014526 (0.063310) | 0.090242 / 0.176557 (-0.086315) | 0.131208 / 0.737135 (-0.605928) | 0.091726 / 0.296338 (-0.204612) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.292487 / 0.215209 (0.077278) | 2.837044 / 2.077655 (0.759389) | 1.553155 / 1.504120 (0.049035) | 1.433645 / 1.541195 (-0.107550) | 1.476702 / 1.468490 (0.008212) | 0.561926 / 4.584777 (-4.022851) | 0.954630 / 3.745712 (-2.791082) | 2.752286 / 5.269862 (-2.517575) | 1.782746 / 4.565676 (-2.782931) | 0.062984 / 0.424275 (-0.361291) | 0.005056 / 0.007607 (-0.002551) | 0.341700 / 0.226044 (0.115656) | 3.343726 / 2.268929 (1.074798) | 1.953390 / 55.444624 (-53.491234) | 1.616989 / 6.876477 (-5.259488) | 1.785104 / 2.142072 (-0.356969) | 0.643465 / 4.805227 (-4.161763) | 0.115905 / 6.500664 (-6.384759) | 0.041678 / 0.075469 (-0.033791) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.000237 / 1.841788 (-0.841550) | 12.633517 / 8.074308 (4.559208) | 10.553485 / 10.191392 (0.362092) | 0.143188 / 0.680424 (-0.537236) | 0.016020 / 0.534201 (-0.518181) | 0.286739 / 0.579283 (-0.292544) | 0.128488 / 0.434364 (-0.305876) | 0.321932 / 0.540337 (-0.218405) | 0.418635 / 1.386936 (-0.968301) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#9510252f03fded02b8cc87ca6dfa3195d17594ba \"CML watermark\")\n"
] | 2024-06-07T11:24:15 | 2024-06-10T07:33:53 | 2024-06-10 07:27:43+00:00 | CONTRIBUTOR | nan | cc @cakiki who reported it on [slack](https://huggingface.slack.com/archives/C039P47V1L5/p1717754405578539) (private link)
This PR updates how errors are handled in `dataset_module_factory` when the `dataset_info` cannot be accessed:
1. Use multiple `except ... as e` instead of using `isinstance(e, ...)`
2. Always raise `DatasetNotFoundError` with `from e` so that the initial error is explicitly logged in the stacktrace.
3. Differentiate `RepoNotFoundError` / `GatedRepoError` / `RevisionNotFoundError` cases | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6959/reactions', 'total_count': 2, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 2, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6959/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6959', 'html_url': 'https://github.com/huggingface/datasets/pull/6959', 'diff_url': 'https://github.com/huggingface/datasets/pull/6959.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6959.patch', 'merged_at': '2024-06-10T07:27:43Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6958 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6958/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6958/comments | https://api.github.com/repos/huggingface/datasets/issues/6958/events | https://github.com/huggingface/datasets/issues/6958 | 2337476383 | I_kwDODunzps6LUw8f | 6958 | My Private Dataset doesn't exist on the Hub or cannot be accessed | {'login': 'wangguan1995', 'id': 39621324, 'node_id': 'MDQ6VXNlcjM5NjIxMzI0', 'avatar_url': 'https://avatars.githubusercontent.com/u/39621324?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/wangguan1995', 'html_url': 'https://github.com/wangguan1995', 'followers_url': 'https://api.github.com/users/wangguan1995/followers', 'following_url': 'https://api.github.com/users/wangguan1995/following{/other_user}', 'gists_url': 'https://api.github.com/users/wangguan1995/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/wangguan1995/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/wangguan1995/subscriptions', 'organizations_url': 'https://api.github.com/users/wangguan1995/orgs', 'repos_url': 'https://api.github.com/users/wangguan1995/repos', 'events_url': 'https://api.github.com/users/wangguan1995/events{/privacy}', 'received_events_url': 'https://api.github.com/users/wangguan1995/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"I can load public dataset, but for my private dataset it fails",
"https://huggingface.co/docs/datasets/upload_dataset",
"I have checked the API HTTP link. Repository Not Found for url: https://huggingface.co/api/datasets/xxx/xxx.\r\n\r\n\r\n\r\nIt just works fine.",
"It seems that everything is in a mass huh....\r\n\r\n\r\n",
"https://huggingface.co/datasets/rajpurkar/squad/blob/main/squad.py fails again",
"https://github.com/huggingface/datasets/blob/main/templates/new_dataset_script.py#L81 can not use this, too complex. I just need a def to load my file to a dict",
"I am facing the same issue. Did you find a fix?",
"You should authenticate to be able to access private or gated repos: https://huggingface.co/docs/hub/datasets-gated#access-gated-datasets-as-a-user"
] | 2024-06-06T06:52:19 | 2024-07-01T11:27:46 | 2024-07-01 11:27:46+00:00 | NONE | nan | ### Describe the bug
```
File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 1852, in dataset_module_factory
raise DatasetNotFoundError(msg + f" at revision '{revision}'" if revision else msg)
datasets.exceptions.DatasetNotFoundError: Dataset 'xxx' doesn't exist on the Hub or cannot be accessed
>>> dataset = load_dataset("xxxx", token=True)
404 error 404 Client Error. (Request ID: Root=xxxx)
Repository Not Found for url: https://huggingface.co/api/datasets/xxx/xxx.
Please make sure you specified the correct `repo_id` and `repo_type`.
If you are trying to access a private or gated repo, make sure you are authenticated.
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 2593, in load_dataset
builder_instance = load_dataset_builder(
File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 2265, in load_dataset_builder
dataset_module = dataset_module_factory(
File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 1910, in dataset_module_factory
raise e1 from None
File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 1852, in dataset_module_factory
raise DatasetNotFoundError(msg + f" at revision '{revision}'" if revision else msg)
datasets.exceptions.DatasetNotFoundError: Dataset 'xxx' doesn't exist on the Hub or cannot be accessed
```
### Steps to reproduce the bug
123
### Expected behavior
123
### Environment info
123 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6958/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6958/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6957 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6957/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6957/comments | https://api.github.com/repos/huggingface/datasets/issues/6957/events | https://github.com/huggingface/datasets/pull/6957 | 2335559400 | PR_kwDODunzps5xiTwJ | 6957 | Fix typos in docs | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6957). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005371 / 0.011353 (-0.005982) | 0.003834 / 0.011008 (-0.007174) | 0.063032 / 0.038508 (0.024524) | 0.031623 / 0.023109 (0.008514) | 0.250008 / 0.275898 (-0.025890) | 0.273998 / 0.323480 (-0.049482) | 0.004114 / 0.007986 (-0.003871) | 0.002821 / 0.004328 (-0.001508) | 0.049470 / 0.004250 (0.045220) | 0.046586 / 0.037052 (0.009534) | 0.276807 / 0.258489 (0.018318) | 0.288607 / 0.293841 (-0.005234) | 0.027427 / 0.128546 (-0.101119) | 0.010634 / 0.075646 (-0.065012) | 0.202451 / 0.419271 (-0.216821) | 0.036346 / 0.043533 (-0.007187) | 0.250426 / 0.255139 (-0.004713) | 0.274104 / 0.283200 (-0.009096) | 0.018461 / 0.141683 (-0.123222) | 1.120326 / 1.452155 (-0.331829) | 1.157635 / 1.492716 (-0.335081) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.102287 / 0.018006 (0.084281) | 0.313145 / 0.000490 (0.312655) | 0.000255 / 0.000200 (0.000055) | 0.000044 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019494 / 0.037411 (-0.017917) | 0.063252 / 0.014526 (0.048727) | 0.075318 / 0.176557 (-0.101239) | 0.122194 / 0.737135 (-0.614942) | 0.076837 / 0.296338 (-0.219501) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.284098 / 0.215209 (0.068889) | 2.822301 / 2.077655 (0.744647) | 1.490185 / 1.504120 (-0.013935) | 1.366723 / 1.541195 (-0.174472) | 1.398832 / 1.468490 (-0.069658) | 0.563661 / 4.584777 (-4.021116) | 2.385129 / 3.745712 (-1.360583) | 2.689823 / 5.269862 (-2.580039) | 1.731271 / 4.565676 (-2.834405) | 0.063351 / 0.424275 (-0.360924) | 0.004974 / 0.007607 (-0.002633) | 0.332163 / 0.226044 (0.106119) | 3.314906 / 2.268929 (1.045977) | 1.811331 / 55.444624 (-53.633294) | 1.513357 / 6.876477 (-5.363120) | 1.718454 / 2.142072 (-0.423618) | 0.639663 / 4.805227 (-4.165564) | 0.120377 / 6.500664 (-6.380287) | 0.043254 / 0.075469 (-0.032215) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.978534 / 1.841788 (-0.863253) | 11.622313 / 8.074308 (3.548005) | 9.608732 / 10.191392 (-0.582660) | 0.131339 / 0.680424 (-0.549085) | 0.015226 / 0.534201 (-0.518975) | 0.287317 / 0.579283 (-0.291966) | 0.266647 / 0.434364 (-0.167717) | 0.324243 / 0.540337 (-0.216094) | 0.442025 / 1.386936 (-0.944911) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005673 / 0.011353 (-0.005680) | 0.003722 / 0.011008 (-0.007286) | 0.049483 / 0.038508 (0.010975) | 0.033308 / 0.023109 (0.010199) | 0.261912 / 0.275898 (-0.013986) | 0.291151 / 0.323480 (-0.032329) | 0.004389 / 0.007986 (-0.003596) | 0.002762 / 0.004328 (-0.001567) | 0.048970 / 0.004250 (0.044719) | 0.041509 / 0.037052 (0.004457) | 0.273288 / 0.258489 (0.014798) | 0.308351 / 0.293841 (0.014510) | 0.029958 / 0.128546 (-0.098589) | 0.010500 / 0.075646 (-0.065146) | 0.058253 / 0.419271 (-0.361019) | 0.033820 / 0.043533 (-0.009713) | 0.261089 / 0.255139 (0.005950) | 0.282179 / 0.283200 (-0.001021) | 0.018543 / 0.141683 (-0.123140) | 1.121303 / 1.452155 (-0.330852) | 1.166141 / 1.492716 (-0.326575) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.099209 / 0.018006 (0.081203) | 0.316920 / 0.000490 (0.316430) | 0.000216 / 0.000200 (0.000016) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023339 / 0.037411 (-0.014072) | 0.077127 / 0.014526 (0.062602) | 0.088160 / 0.176557 (-0.088396) | 0.129449 / 0.737135 (-0.607686) | 0.093159 / 0.296338 (-0.203180) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.281262 / 0.215209 (0.066053) | 2.797504 / 2.077655 (0.719850) | 1.513354 / 1.504120 (0.009234) | 1.383034 / 1.541195 (-0.158161) | 1.395202 / 1.468490 (-0.073288) | 0.563180 / 4.584777 (-4.021597) | 0.979330 / 3.745712 (-2.766383) | 2.674008 / 5.269862 (-2.595853) | 1.762174 / 4.565676 (-2.803502) | 0.062333 / 0.424275 (-0.361942) | 0.004991 / 0.007607 (-0.002616) | 0.336043 / 0.226044 (0.109999) | 3.313500 / 2.268929 (1.044571) | 1.848083 / 55.444624 (-53.596541) | 1.554723 / 6.876477 (-5.321754) | 1.743485 / 2.142072 (-0.398587) | 0.657117 / 4.805227 (-4.148111) | 0.115736 / 6.500664 (-6.384928) | 0.040527 / 0.075469 (-0.034942) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.005876 / 1.841788 (-0.835911) | 12.525895 / 8.074308 (4.451587) | 10.492961 / 10.191392 (0.301569) | 0.143443 / 0.680424 (-0.536981) | 0.016652 / 0.534201 (-0.517548) | 0.288236 / 0.579283 (-0.291047) | 0.131401 / 0.434364 (-0.302963) | 0.322885 / 0.540337 (-0.217452) | 0.416048 / 1.386936 (-0.970888) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#6548e0e282aeeda7bfb18beafbc65ebecd780c63 \"CML watermark\")\n"
] | 2024-06-05T10:46:47 | 2024-06-05T13:01:07 | 2024-06-05 12:43:26+00:00 | MEMBER | nan | Fix typos in docs introduced by:
- #6956
Typos:
- `comparisions` => `comparisons`
- two consecutive sentences both ending in colon
- split one sentence into two
Sorry, I did not have time to review that PR.
CC: @lhoestq | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6957/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6957/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6957', 'html_url': 'https://github.com/huggingface/datasets/pull/6957', 'diff_url': 'https://github.com/huggingface/datasets/pull/6957.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6957.patch', 'merged_at': '2024-06-05T12:43:26Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6956 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6956/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6956/comments | https://api.github.com/repos/huggingface/datasets/issues/6956/events | https://github.com/huggingface/datasets/pull/6956 | 2333940021 | PR_kwDODunzps5xcwXz | 6956 | update docs on N-dim arrays | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6956). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005348 / 0.011353 (-0.006005) | 0.003785 / 0.011008 (-0.007223) | 0.061674 / 0.038508 (0.023166) | 0.032127 / 0.023109 (0.009017) | 0.247095 / 0.275898 (-0.028803) | 0.276466 / 0.323480 (-0.047014) | 0.004197 / 0.007986 (-0.003789) | 0.002734 / 0.004328 (-0.001594) | 0.049604 / 0.004250 (0.045354) | 0.048553 / 0.037052 (0.011500) | 0.253230 / 0.258489 (-0.005259) | 0.286954 / 0.293841 (-0.006887) | 0.028181 / 0.128546 (-0.100365) | 0.010602 / 0.075646 (-0.065044) | 0.200719 / 0.419271 (-0.218552) | 0.037278 / 0.043533 (-0.006254) | 0.251565 / 0.255139 (-0.003574) | 0.269026 / 0.283200 (-0.014174) | 0.017632 / 0.141683 (-0.124050) | 1.136216 / 1.452155 (-0.315939) | 1.181158 / 1.492716 (-0.311559) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004892 / 0.018006 (-0.013114) | 0.312921 / 0.000490 (0.312431) | 0.000247 / 0.000200 (0.000047) | 0.000054 / 0.000054 (-0.000000) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019303 / 0.037411 (-0.018108) | 0.062699 / 0.014526 (0.048174) | 0.075227 / 0.176557 (-0.101329) | 0.122919 / 0.737135 (-0.614217) | 0.076506 / 0.296338 (-0.219833) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.277299 / 0.215209 (0.062090) | 2.754771 / 2.077655 (0.677116) | 1.457164 / 1.504120 (-0.046956) | 1.318878 / 1.541195 (-0.222317) | 1.374245 / 1.468490 (-0.094245) | 0.566253 / 4.584777 (-4.018524) | 2.352589 / 3.745712 (-1.393123) | 2.764263 / 5.269862 (-2.505599) | 1.843141 / 4.565676 (-2.722535) | 0.063996 / 0.424275 (-0.360279) | 0.005045 / 0.007607 (-0.002562) | 0.336703 / 0.226044 (0.110658) | 3.342538 / 2.268929 (1.073609) | 1.836664 / 55.444624 (-53.607960) | 1.528901 / 6.876477 (-5.347576) | 1.769562 / 2.142072 (-0.372511) | 0.674192 / 4.805227 (-4.131035) | 0.122421 / 6.500664 (-6.378243) | 0.043714 / 0.075469 (-0.031756) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.989432 / 1.841788 (-0.852356) | 12.178341 / 8.074308 (4.104033) | 9.730838 / 10.191392 (-0.460554) | 0.146751 / 0.680424 (-0.533673) | 0.014720 / 0.534201 (-0.519481) | 0.285821 / 0.579283 (-0.293462) | 0.266474 / 0.434364 (-0.167889) | 0.327886 / 0.540337 (-0.212451) | 0.455672 / 1.386936 (-0.931264) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005691 / 0.011353 (-0.005662) | 0.004089 / 0.011008 (-0.006919) | 0.049878 / 0.038508 (0.011370) | 0.033578 / 0.023109 (0.010469) | 0.268295 / 0.275898 (-0.007603) | 0.288918 / 0.323480 (-0.034561) | 0.005092 / 0.007986 (-0.002894) | 0.002916 / 0.004328 (-0.001412) | 0.049489 / 0.004250 (0.045239) | 0.042495 / 0.037052 (0.005442) | 0.276253 / 0.258489 (0.017764) | 0.313321 / 0.293841 (0.019480) | 0.029386 / 0.128546 (-0.099160) | 0.010926 / 0.075646 (-0.064720) | 0.071747 / 0.419271 (-0.347525) | 0.033642 / 0.043533 (-0.009891) | 0.264950 / 0.255139 (0.009811) | 0.282962 / 0.283200 (-0.000238) | 0.018878 / 0.141683 (-0.122805) | 1.170685 / 1.452155 (-0.281470) | 1.198321 / 1.492716 (-0.294396) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.100422 / 0.018006 (0.082415) | 0.311750 / 0.000490 (0.311260) | 0.000235 / 0.000200 (0.000035) | 0.000063 / 0.000054 (0.000008) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023093 / 0.037411 (-0.014318) | 0.076934 / 0.014526 (0.062408) | 0.088959 / 0.176557 (-0.087598) | 0.129511 / 0.737135 (-0.607624) | 0.090151 / 0.296338 (-0.206187) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.301646 / 0.215209 (0.086437) | 2.961780 / 2.077655 (0.884126) | 1.656051 / 1.504120 (0.151931) | 1.533154 / 1.541195 (-0.008041) | 1.585152 / 1.468490 (0.116662) | 0.582157 / 4.584777 (-4.002620) | 0.954881 / 3.745712 (-2.790831) | 2.813174 / 5.269862 (-2.456688) | 1.842840 / 4.565676 (-2.722837) | 0.065598 / 0.424275 (-0.358677) | 0.005306 / 0.007607 (-0.002301) | 0.359610 / 0.226044 (0.133565) | 3.575320 / 2.268929 (1.306391) | 2.015327 / 55.444624 (-53.429297) | 1.734086 / 6.876477 (-5.142391) | 1.919081 / 2.142072 (-0.222991) | 0.671178 / 4.805227 (-4.134049) | 0.120109 / 6.500664 (-6.380555) | 0.042353 / 0.075469 (-0.033116) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.011726 / 1.841788 (-0.830062) | 13.007806 / 8.074308 (4.933498) | 10.632486 / 10.191392 (0.441094) | 0.148535 / 0.680424 (-0.531889) | 0.015988 / 0.534201 (-0.518213) | 0.290023 / 0.579283 (-0.289260) | 0.130685 / 0.434364 (-0.303679) | 0.322912 / 0.540337 (-0.217425) | 0.420596 / 1.386936 (-0.966340) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#336512dcba4fdb4c349d5ecb632b6ced80e038d5 \"CML watermark\")\n"
] | 2024-06-04T16:32:19 | 2024-06-04T16:46:34 | 2024-06-04 16:40:27+00:00 | MEMBER | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6956/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6956/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6956', 'html_url': 'https://github.com/huggingface/datasets/pull/6956', 'diff_url': 'https://github.com/huggingface/datasets/pull/6956.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6956.patch', 'merged_at': '2024-06-04T16:40:27Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6955 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6955/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6955/comments | https://api.github.com/repos/huggingface/datasets/issues/6955/events | https://github.com/huggingface/datasets/pull/6955 | 2333802815 | PR_kwDODunzps5xcSYm | 6955 | Fix small typo | {'login': 'marcenacp', 'id': 17081356, 'node_id': 'MDQ6VXNlcjE3MDgxMzU2', 'avatar_url': 'https://avatars.githubusercontent.com/u/17081356?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/marcenacp', 'html_url': 'https://github.com/marcenacp', 'followers_url': 'https://api.github.com/users/marcenacp/followers', 'following_url': 'https://api.github.com/users/marcenacp/following{/other_user}', 'gists_url': 'https://api.github.com/users/marcenacp/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/marcenacp/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/marcenacp/subscriptions', 'organizations_url': 'https://api.github.com/users/marcenacp/orgs', 'repos_url': 'https://api.github.com/users/marcenacp/repos', 'events_url': 'https://api.github.com/users/marcenacp/events{/privacy}', 'received_events_url': 'https://api.github.com/users/marcenacp/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005507 / 0.011353 (-0.005845) | 0.003757 / 0.011008 (-0.007251) | 0.063274 / 0.038508 (0.024766) | 0.029720 / 0.023109 (0.006610) | 0.247974 / 0.275898 (-0.027924) | 0.272283 / 0.323480 (-0.051197) | 0.004186 / 0.007986 (-0.003799) | 0.002820 / 0.004328 (-0.001508) | 0.049070 / 0.004250 (0.044820) | 0.050026 / 0.037052 (0.012973) | 0.256501 / 0.258489 (-0.001988) | 0.297082 / 0.293841 (0.003241) | 0.028549 / 0.128546 (-0.099997) | 0.010361 / 0.075646 (-0.065285) | 0.213202 / 0.419271 (-0.206070) | 0.038117 / 0.043533 (-0.005416) | 0.258878 / 0.255139 (0.003739) | 0.282980 / 0.283200 (-0.000220) | 0.018911 / 0.141683 (-0.122772) | 1.118857 / 1.452155 (-0.333298) | 1.157763 / 1.492716 (-0.334953) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004499 / 0.018006 (-0.013507) | 0.310445 / 0.000490 (0.309956) | 0.000218 / 0.000200 (0.000018) | 0.000044 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.019275 / 0.037411 (-0.018137) | 0.063257 / 0.014526 (0.048731) | 0.075833 / 0.176557 (-0.100724) | 0.122323 / 0.737135 (-0.614812) | 0.079046 / 0.296338 (-0.217292) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.292811 / 0.215209 (0.077602) | 2.903501 / 2.077655 (0.825846) | 1.592434 / 1.504120 (0.088314) | 1.450833 / 1.541195 (-0.090362) | 1.481285 / 1.468490 (0.012795) | 0.570150 / 4.584777 (-4.014627) | 2.388618 / 3.745712 (-1.357094) | 2.699322 / 5.269862 (-2.570540) | 1.781405 / 4.565676 (-2.784272) | 0.063451 / 0.424275 (-0.360824) | 0.004979 / 0.007607 (-0.002628) | 0.353346 / 0.226044 (0.127302) | 3.541217 / 2.268929 (1.272289) | 1.972335 / 55.444624 (-53.472289) | 1.634780 / 6.876477 (-5.241697) | 1.815944 / 2.142072 (-0.326128) | 0.651559 / 4.805227 (-4.153669) | 0.118398 / 6.500664 (-6.382266) | 0.041962 / 0.075469 (-0.033507) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.971435 / 1.841788 (-0.870352) | 11.843740 / 8.074308 (3.769431) | 9.716333 / 10.191392 (-0.475059) | 0.145923 / 0.680424 (-0.534501) | 0.015073 / 0.534201 (-0.519128) | 0.293307 / 0.579283 (-0.285976) | 0.265505 / 0.434364 (-0.168859) | 0.327578 / 0.540337 (-0.212760) | 0.436409 / 1.386936 (-0.950527) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005647 / 0.011353 (-0.005706) | 0.003669 / 0.011008 (-0.007339) | 0.050234 / 0.038508 (0.011726) | 0.033033 / 0.023109 (0.009924) | 0.269303 / 0.275898 (-0.006595) | 0.282472 / 0.323480 (-0.041008) | 0.004283 / 0.007986 (-0.003703) | 0.002821 / 0.004328 (-0.001507) | 0.050887 / 0.004250 (0.046637) | 0.041618 / 0.037052 (0.004565) | 0.277628 / 0.258489 (0.019139) | 0.310539 / 0.293841 (0.016698) | 0.030036 / 0.128546 (-0.098511) | 0.010401 / 0.075646 (-0.065245) | 0.058845 / 0.419271 (-0.360427) | 0.033676 / 0.043533 (-0.009857) | 0.261148 / 0.255139 (0.006009) | 0.295232 / 0.283200 (0.012032) | 0.018603 / 0.141683 (-0.123080) | 1.132182 / 1.452155 (-0.319972) | 1.173763 / 1.492716 (-0.318953) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.100594 / 0.018006 (0.082588) | 0.308101 / 0.000490 (0.307611) | 0.000217 / 0.000200 (0.000017) | 0.000055 / 0.000054 (0.000000) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023040 / 0.037411 (-0.014371) | 0.080676 / 0.014526 (0.066150) | 0.094687 / 0.176557 (-0.081870) | 0.129780 / 0.737135 (-0.607356) | 0.092241 / 0.296338 (-0.204097) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.294799 / 0.215209 (0.079590) | 2.957570 / 2.077655 (0.879915) | 1.576795 / 1.504120 (0.072675) | 1.446869 / 1.541195 (-0.094326) | 1.463133 / 1.468490 (-0.005357) | 0.568511 / 4.584777 (-4.016266) | 1.011502 / 3.745712 (-2.734211) | 2.759571 / 5.269862 (-2.510291) | 1.771738 / 4.565676 (-2.793939) | 0.064104 / 0.424275 (-0.360171) | 0.005160 / 0.007607 (-0.002448) | 0.347554 / 0.226044 (0.121510) | 3.463905 / 2.268929 (1.194976) | 1.931843 / 55.444624 (-53.512781) | 1.622765 / 6.876477 (-5.253712) | 1.809146 / 2.142072 (-0.332926) | 0.653388 / 4.805227 (-4.151839) | 0.122703 / 6.500664 (-6.377961) | 0.041680 / 0.075469 (-0.033790) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.000428 / 1.841788 (-0.841359) | 12.503003 / 8.074308 (4.428695) | 10.434802 / 10.191392 (0.243410) | 0.144684 / 0.680424 (-0.535740) | 0.015988 / 0.534201 (-0.518213) | 0.287179 / 0.579283 (-0.292104) | 0.124811 / 0.434364 (-0.309553) | 0.327855 / 0.540337 (-0.212482) | 0.425144 / 1.386936 (-0.961792) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#f7170067f819222153fcd45682db61279bdfe673 \"CML watermark\")\n"
] | 2024-06-04T15:19:02 | 2024-06-05T10:18:56 | 2024-06-04 15:20:55+00:00 | CONTRIBUTOR | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6955/reactions', 'total_count': 1, '+1': 1, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6955/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6955', 'html_url': 'https://github.com/huggingface/datasets/pull/6955', 'diff_url': 'https://github.com/huggingface/datasets/pull/6955.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6955.patch', 'merged_at': '2024-06-04T15:20:55Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6954 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6954/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6954/comments | https://api.github.com/repos/huggingface/datasets/issues/6954/events | https://github.com/huggingface/datasets/pull/6954 | 2333530558 | PR_kwDODunzps5xbWtU | 6954 | Remove default `trust_remote_code=True` | {'login': 'lhoestq', 'id': 42851186, 'node_id': 'MDQ6VXNlcjQyODUxMTg2', 'avatar_url': 'https://avatars.githubusercontent.com/u/42851186?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lhoestq', 'html_url': 'https://github.com/lhoestq', 'followers_url': 'https://api.github.com/users/lhoestq/followers', 'following_url': 'https://api.github.com/users/lhoestq/following{/other_user}', 'gists_url': 'https://api.github.com/users/lhoestq/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lhoestq/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lhoestq/subscriptions', 'organizations_url': 'https://api.github.com/users/lhoestq/orgs', 'repos_url': 'https://api.github.com/users/lhoestq/repos', 'events_url': 'https://api.github.com/users/lhoestq/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lhoestq/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6954). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"yay! 🎉 ",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.004881 / 0.011353 (-0.006472) | 0.003246 / 0.011008 (-0.007762) | 0.062496 / 0.038508 (0.023988) | 0.030760 / 0.023109 (0.007651) | 0.241500 / 0.275898 (-0.034398) | 0.272073 / 0.323480 (-0.051407) | 0.004123 / 0.007986 (-0.003863) | 0.002796 / 0.004328 (-0.001533) | 0.049015 / 0.004250 (0.044764) | 0.047095 / 0.037052 (0.010043) | 0.257002 / 0.258489 (-0.001487) | 0.287602 / 0.293841 (-0.006239) | 0.027281 / 0.128546 (-0.101265) | 0.010132 / 0.075646 (-0.065514) | 0.203699 / 0.419271 (-0.215572) | 0.036553 / 0.043533 (-0.006980) | 0.246221 / 0.255139 (-0.008918) | 0.268137 / 0.283200 (-0.015062) | 0.017260 / 0.141683 (-0.124423) | 1.100677 / 1.452155 (-0.351478) | 1.148367 / 1.492716 (-0.344349) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.102519 / 0.018006 (0.084513) | 0.301929 / 0.000490 (0.301439) | 0.000223 / 0.000200 (0.000023) | 0.000046 / 0.000054 (-0.000009) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018590 / 0.037411 (-0.018821) | 0.061615 / 0.014526 (0.047089) | 0.074579 / 0.176557 (-0.101978) | 0.121415 / 0.737135 (-0.615720) | 0.075696 / 0.296338 (-0.220642) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.283842 / 0.215209 (0.068633) | 2.788321 / 2.077655 (0.710666) | 1.481376 / 1.504120 (-0.022743) | 1.356064 / 1.541195 (-0.185131) | 1.380592 / 1.468490 (-0.087898) | 0.575577 / 4.584777 (-4.009199) | 2.471858 / 3.745712 (-1.273854) | 2.760769 / 5.269862 (-2.509093) | 1.808638 / 4.565676 (-2.757038) | 0.064930 / 0.424275 (-0.359345) | 0.005056 / 0.007607 (-0.002551) | 0.337794 / 0.226044 (0.111750) | 3.359444 / 2.268929 (1.090515) | 1.829540 / 55.444624 (-53.615084) | 1.518660 / 6.876477 (-5.357817) | 1.671612 / 2.142072 (-0.470460) | 0.664286 / 4.805227 (-4.140941) | 0.119593 / 6.500664 (-6.381071) | 0.042519 / 0.075469 (-0.032950) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.993152 / 1.841788 (-0.848636) | 11.733054 / 8.074308 (3.658746) | 9.746734 / 10.191392 (-0.444658) | 0.143026 / 0.680424 (-0.537398) | 0.014900 / 0.534201 (-0.519301) | 0.292243 / 0.579283 (-0.287040) | 0.261301 / 0.434364 (-0.173063) | 0.330838 / 0.540337 (-0.209500) | 0.523719 / 1.386936 (-0.863217) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005707 / 0.011353 (-0.005646) | 0.003523 / 0.011008 (-0.007485) | 0.052265 / 0.038508 (0.013757) | 0.034296 / 0.023109 (0.011187) | 0.266589 / 0.275898 (-0.009309) | 0.288441 / 0.323480 (-0.035039) | 0.004507 / 0.007986 (-0.003478) | 0.002745 / 0.004328 (-0.001583) | 0.049417 / 0.004250 (0.045167) | 0.042679 / 0.037052 (0.005627) | 0.278518 / 0.258489 (0.020029) | 0.328751 / 0.293841 (0.034911) | 0.029530 / 0.128546 (-0.099016) | 0.010373 / 0.075646 (-0.065274) | 0.058207 / 0.419271 (-0.361064) | 0.033434 / 0.043533 (-0.010099) | 0.267902 / 0.255139 (0.012763) | 0.288192 / 0.283200 (0.004993) | 0.018866 / 0.141683 (-0.122817) | 1.132734 / 1.452155 (-0.319421) | 1.172879 / 1.492716 (-0.319837) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.097787 / 0.018006 (0.079780) | 0.305509 / 0.000490 (0.305019) | 0.000268 / 0.000200 (0.000068) | 0.000060 / 0.000054 (0.000006) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023230 / 0.037411 (-0.014181) | 0.076637 / 0.014526 (0.062111) | 0.088386 / 0.176557 (-0.088171) | 0.131079 / 0.737135 (-0.606057) | 0.091142 / 0.296338 (-0.205197) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.295586 / 0.215209 (0.080377) | 2.872090 / 2.077655 (0.794435) | 1.538152 / 1.504120 (0.034032) | 1.405695 / 1.541195 (-0.135500) | 1.421058 / 1.468490 (-0.047432) | 0.561179 / 4.584777 (-4.023598) | 0.943954 / 3.745712 (-2.801758) | 2.684381 / 5.269862 (-2.585481) | 1.757457 / 4.565676 (-2.808220) | 0.062903 / 0.424275 (-0.361372) | 0.004998 / 0.007607 (-0.002610) | 0.370290 / 0.226044 (0.144245) | 3.374988 / 2.268929 (1.106059) | 1.899282 / 55.444624 (-53.545342) | 1.598787 / 6.876477 (-5.277690) | 1.735371 / 2.142072 (-0.406702) | 0.647367 / 4.805227 (-4.157860) | 0.116975 / 6.500664 (-6.383689) | 0.040811 / 0.075469 (-0.034658) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.996380 / 1.841788 (-0.845408) | 12.225657 / 8.074308 (4.151349) | 10.291221 / 10.191392 (0.099829) | 0.142791 / 0.680424 (-0.537633) | 0.016087 / 0.534201 (-0.518114) | 0.299978 / 0.579283 (-0.279305) | 0.149444 / 0.434364 (-0.284920) | 0.321354 / 0.540337 (-0.218984) | 0.414492 / 1.386936 (-0.972444) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#a2dc287cbef5311cf1a32ad4e3685f4052db227c \"CML watermark\")\n",
"@lhoestq Thanks for the PR, Is there a way to detect if `trust_remote_code=True` will be required for loading the dataset, without loading it? It would be great if you could please point me to the relevant documentation.",
"You can check the presence of a python loading script in the repository.\r\n\r\nIf there is a .py file named after the repository name, then it requires trust_remote_code.",
"Thanks @lhoestq for the reference."
] | 2024-06-04T13:22:56 | 2024-06-17T16:32:24 | 2024-06-07 12:20:29+00:00 | MEMBER | nan | TODO:
- [x] fix tests | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6954/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6954/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6954', 'html_url': 'https://github.com/huggingface/datasets/pull/6954', 'diff_url': 'https://github.com/huggingface/datasets/pull/6954.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6954.patch', 'merged_at': '2024-06-07T12:20:29Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6953 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6953/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6953/comments | https://api.github.com/repos/huggingface/datasets/issues/6953/events | https://github.com/huggingface/datasets/issues/6953 | 2333366120 | I_kwDODunzps6LFFdo | 6953 | Remove canonical datasets from docs | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892861, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODYx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/documentation', 'name': 'documentation', 'color': '0075ca', 'default': True, 'description': 'Improvements or additions to documentation'}] | closed | False | None | [] | None | [
"Canonical datasets are no longer mentioned in the docs."
] | 2024-06-04T12:09:03 | 2024-07-01T11:31:25 | 2024-07-01 11:31:25+00:00 | MEMBER | nan | Remove canonical datasets from docs, now that we no longer have canonical datasets. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6953/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6953/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6952 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6952/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6952/comments | https://api.github.com/repos/huggingface/datasets/issues/6952/events | https://github.com/huggingface/datasets/pull/6952 | 2333320411 | PR_kwDODunzps5xaosH | 6952 | Move info_utils errors to exceptions module | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6952). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005232 / 0.011353 (-0.006121) | 0.003744 / 0.011008 (-0.007264) | 0.064089 / 0.038508 (0.025581) | 0.032409 / 0.023109 (0.009300) | 0.255886 / 0.275898 (-0.020013) | 0.276033 / 0.323480 (-0.047447) | 0.004165 / 0.007986 (-0.003821) | 0.002741 / 0.004328 (-0.001588) | 0.052145 / 0.004250 (0.047894) | 0.043863 / 0.037052 (0.006811) | 0.258844 / 0.258489 (0.000355) | 0.290108 / 0.293841 (-0.003733) | 0.027390 / 0.128546 (-0.101156) | 0.010543 / 0.075646 (-0.065103) | 0.206936 / 0.419271 (-0.212335) | 0.036778 / 0.043533 (-0.006755) | 0.254331 / 0.255139 (-0.000808) | 0.279037 / 0.283200 (-0.004163) | 0.018564 / 0.141683 (-0.123119) | 1.112765 / 1.452155 (-0.339390) | 1.160099 / 1.492716 (-0.332617) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.092148 / 0.018006 (0.074142) | 0.297156 / 0.000490 (0.296667) | 0.000211 / 0.000200 (0.000011) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018797 / 0.037411 (-0.018615) | 0.062992 / 0.014526 (0.048466) | 0.076361 / 0.176557 (-0.100195) | 0.121168 / 0.737135 (-0.615968) | 0.075845 / 0.296338 (-0.220494) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.293842 / 0.215209 (0.078633) | 2.880720 / 2.077655 (0.803065) | 1.477779 / 1.504120 (-0.026341) | 1.345136 / 1.541195 (-0.196059) | 1.352153 / 1.468490 (-0.116337) | 0.574722 / 4.584777 (-4.010055) | 2.373925 / 3.745712 (-1.371787) | 2.750704 / 5.269862 (-2.519157) | 1.725979 / 4.565676 (-2.839697) | 0.063006 / 0.424275 (-0.361269) | 0.005019 / 0.007607 (-0.002588) | 0.341228 / 0.226044 (0.115184) | 3.352576 / 2.268929 (1.083647) | 1.821363 / 55.444624 (-53.623261) | 1.529441 / 6.876477 (-5.347036) | 1.543401 / 2.142072 (-0.598671) | 0.634282 / 4.805227 (-4.170945) | 0.115565 / 6.500664 (-6.385099) | 0.042514 / 0.075469 (-0.032956) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.987532 / 1.841788 (-0.854255) | 11.483853 / 8.074308 (3.409545) | 9.565657 / 10.191392 (-0.625735) | 0.141247 / 0.680424 (-0.539176) | 0.015026 / 0.534201 (-0.519175) | 0.299905 / 0.579283 (-0.279378) | 0.267667 / 0.434364 (-0.166697) | 0.320661 / 0.540337 (-0.219676) | 0.427368 / 1.386936 (-0.959568) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005448 / 0.011353 (-0.005905) | 0.003726 / 0.011008 (-0.007283) | 0.049776 / 0.038508 (0.011268) | 0.032733 / 0.023109 (0.009624) | 0.261387 / 0.275898 (-0.014511) | 0.280087 / 0.323480 (-0.043393) | 0.004351 / 0.007986 (-0.003634) | 0.002842 / 0.004328 (-0.001487) | 0.049440 / 0.004250 (0.045190) | 0.039585 / 0.037052 (0.002533) | 0.266331 / 0.258489 (0.007842) | 0.299643 / 0.293841 (0.005802) | 0.029649 / 0.128546 (-0.098897) | 0.010381 / 0.075646 (-0.065265) | 0.058596 / 0.419271 (-0.360676) | 0.033271 / 0.043533 (-0.010262) | 0.251070 / 0.255139 (-0.004069) | 0.272850 / 0.283200 (-0.010349) | 0.016728 / 0.141683 (-0.124955) | 1.146952 / 1.452155 (-0.305202) | 1.182602 / 1.492716 (-0.310114) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.091673 / 0.018006 (0.073667) | 0.297228 / 0.000490 (0.296738) | 0.000197 / 0.000200 (-0.000003) | 0.000051 / 0.000054 (-0.000003) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.023174 / 0.037411 (-0.014237) | 0.078866 / 0.014526 (0.064341) | 0.088436 / 0.176557 (-0.088121) | 0.129650 / 0.737135 (-0.607485) | 0.091100 / 0.296338 (-0.205238) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.293882 / 0.215209 (0.078673) | 2.882667 / 2.077655 (0.805012) | 1.562949 / 1.504120 (0.058829) | 1.435104 / 1.541195 (-0.106090) | 1.450815 / 1.468490 (-0.017675) | 0.584090 / 4.584777 (-4.000687) | 0.984176 / 3.745712 (-2.761536) | 2.668740 / 5.269862 (-2.601121) | 1.766993 / 4.565676 (-2.798683) | 0.064710 / 0.424275 (-0.359565) | 0.005329 / 0.007607 (-0.002278) | 0.346008 / 0.226044 (0.119964) | 3.414576 / 2.268929 (1.145647) | 1.911388 / 55.444624 (-53.533236) | 1.660357 / 6.876477 (-5.216120) | 1.818628 / 2.142072 (-0.323444) | 0.659585 / 4.805227 (-4.145643) | 0.116980 / 6.500664 (-6.383684) | 0.041364 / 0.075469 (-0.034105) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.005659 / 1.841788 (-0.836129) | 12.023761 / 8.074308 (3.949453) | 10.351086 / 10.191392 (0.159694) | 0.143261 / 0.680424 (-0.537162) | 0.016143 / 0.534201 (-0.518058) | 0.287793 / 0.579283 (-0.291490) | 0.123698 / 0.434364 (-0.310666) | 0.325241 / 0.540337 (-0.215097) | 0.418772 / 1.386936 (-0.968164) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#37a603679f451826cfafd8aae00738b01dcb9d58 \"CML watermark\")\n"
] | 2024-06-04T11:48:32 | 2024-06-10T14:09:59 | 2024-06-10 14:03:55+00:00 | MEMBER | nan | Move `info_utils` errors to `exceptions` module.
Additionally rename some of them, deprecate the former ones, and make the deprecation backward compatible (by making the new errors inherit from the former ones). | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6952/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6952/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6952', 'html_url': 'https://github.com/huggingface/datasets/pull/6952', 'diff_url': 'https://github.com/huggingface/datasets/pull/6952.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6952.patch', 'merged_at': '2024-06-10T14:03:55Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6951 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6951/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6951/comments | https://api.github.com/repos/huggingface/datasets/issues/6951/events | https://github.com/huggingface/datasets/issues/6951 | 2333231042 | I_kwDODunzps6LEkfC | 6951 | load_dataset() should load all subsets, if no specific subset is specified | {'login': 'windmaple', 'id': 5577741, 'node_id': 'MDQ6VXNlcjU1Nzc3NDE=', 'avatar_url': 'https://avatars.githubusercontent.com/u/5577741?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/windmaple', 'html_url': 'https://github.com/windmaple', 'followers_url': 'https://api.github.com/users/windmaple/followers', 'following_url': 'https://api.github.com/users/windmaple/following{/other_user}', 'gists_url': 'https://api.github.com/users/windmaple/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/windmaple/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/windmaple/subscriptions', 'organizations_url': 'https://api.github.com/users/windmaple/orgs', 'repos_url': 'https://api.github.com/users/windmaple/repos', 'events_url': 'https://api.github.com/users/windmaple/events{/privacy}', 'received_events_url': 'https://api.github.com/users/windmaple/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892871, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement', 'name': 'enhancement', 'color': 'a2eeef', 'default': True, 'description': 'New feature or request'}] | closed | False | None | [] | None | [
"@xianbaoqian ",
"Feel free to open a PR in `m-a-p/COIG-CQIA` to define a default subset. Currently there is no default.\r\n\r\nYou can find some documentation at https://huggingface.co/docs/hub/datasets-manual-configuration#multiple-configurations",
"@lhoestq \r\n\r\nWhilst having a default subset readily available (e.g. `all`) by the dataset author is an ideal solution, it is not always the reality.\r\n\r\nWithout the ability to fork the dataset, this can be problematic.\r\n\r\nAs far as I know, it is not possible at all to specify multiple subsets in a generalized programmatic way without hard coding subset names for a specific dataset.\r\n\r\nEven the ability to fetch subset names and loop over them would be sufficient.",
"Please note that each subset can have different feature columns, thus making it impossible to load them all into a unique Dataset instance.\r\n\r\nThat is why subsets were created: to support different but related datasets to coexist in a single dataset repository.\r\n\r\nIf you would like to programmatically get the list of subset names, you can use `datasets.get_dataset_config_names`: https://huggingface.co/docs/datasets/v2.20.0/en/load_hub#configurations"
] | 2024-06-04T11:02:33 | 2024-07-01T11:33:10 | 2024-07-01 11:33:10+00:00 | NONE | nan | ### Feature request
Currently load_dataset() is forcing users to specify a subset. Example
`from datasets import load_dataset
dataset = load_dataset("m-a-p/COIG-CQIA")`
```---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
[<ipython-input-10-c0cb49385da6>](https://localhost:8080/#) in <cell line: 2>()
1 from datasets import load_dataset
----> 2 dataset = load_dataset("m-a-p/COIG-CQIA")
3 frames
[/usr/local/lib/python3.10/dist-packages/datasets/builder.py](https://localhost:8080/#) in _create_builder_config(self, config_name, custom_features, **config_kwargs)
582 if not config_kwargs:
583 example_of_usage = f"load_dataset('{self.dataset_name}', '{self.BUILDER_CONFIGS[0].name}')"
--> 584 raise ValueError(
585 "Config name is missing."
586 f"\nPlease pick one among the available configs: {list(self.builder_configs.keys())}"
ValueError: Config name is missing.
Please pick one among the available configs: ['chinese_traditional', 'coig_pc', 'exam', 'finance', 'douban', 'human_value', 'logi_qa', 'ruozhiba', 'segmentfault', 'wiki', 'wikihow', 'xhs', 'zhihu']
Example of usage:
`load_dataset('coig-cqia', 'chinese_traditional')`
```
This means a dataset cannot contain all the subsets at the same time. I guess one workaround is to manually specify the subset files like in [here](https://huggingface.co/datasets/m-a-p/COIG-CQIA/discussions/1#658698b44bb41498f75c5622), which is clumsy.
### Motivation
Ideally, if not subset is specified, the API should just try to load all subsets. This makes it much easier to handle datasets w/ subsets.
### Your contribution
Not sure since I'm not familiar w/ the lib src. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6951/reactions', 'total_count': 1, '+1': 1, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6951/timeline | nan | not_planned | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6950 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6950/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6950/comments | https://api.github.com/repos/huggingface/datasets/issues/6950/events | https://github.com/huggingface/datasets/issues/6950 | 2333005974 | I_kwDODunzps6LDtiW | 6950 | `Dataset.with_format` behaves inconsistently with documentation | {'login': 'iansheng', 'id': 42494185, 'node_id': 'MDQ6VXNlcjQyNDk0MTg1', 'avatar_url': 'https://avatars.githubusercontent.com/u/42494185?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/iansheng', 'html_url': 'https://github.com/iansheng', 'followers_url': 'https://api.github.com/users/iansheng/followers', 'following_url': 'https://api.github.com/users/iansheng/following{/other_user}', 'gists_url': 'https://api.github.com/users/iansheng/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/iansheng/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/iansheng/subscriptions', 'organizations_url': 'https://api.github.com/users/iansheng/orgs', 'repos_url': 'https://api.github.com/users/iansheng/repos', 'events_url': 'https://api.github.com/users/iansheng/events{/privacy}', 'received_events_url': 'https://api.github.com/users/iansheng/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892861, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODYx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/documentation', 'name': 'documentation', 'color': '0075ca', 'default': True, 'description': 'Improvements or additions to documentation'}] | closed | False | None | [] | None | [
"Hi ! It seems the documentation was outdated in this paragraph\r\n\r\nI fixed it here: https://github.com/huggingface/datasets/pull/6956",
"Fixed."
] | 2024-06-04T09:18:32 | 2024-06-25T08:05:49 | 2024-06-25 08:05:49+00:00 | NONE | nan | ### Describe the bug
The actual behavior of the interface `Dataset.with_format` is inconsistent with the documentation.
https://huggingface.co/docs/datasets/use_with_pytorch#n-dimensional-arrays
https://huggingface.co/docs/datasets/v2.19.0/en/use_with_tensorflow#n-dimensional-arrays
> If your dataset consists of N-dimensional arrays, you will see that by default they are considered as nested lists.
> In particular, a PyTorch formatted dataset outputs nested lists instead of a single tensor.
> A TensorFlow formatted dataset outputs a RaggedTensor instead of a single tensor.
But I get a single tensor by default, which is inconsistent with the description.
Actually the current behavior seems more reasonable to me. Therefore, the document needs to be modified.
### Steps to reproduce the bug
```python
>>> from datasets import Dataset
>>> data = [[[1, 2],[3, 4]],[[5, 6],[7, 8]]]
>>> ds = Dataset.from_dict({"data": data})
>>> ds = ds.with_format("torch")
>>> ds[0]
{'data': tensor([[1, 2],
[3, 4]])}
>>> ds = ds.with_format("tf")
>>> ds[0]
{'data': <tf.Tensor: shape=(2, 2), dtype=int64, numpy=
array([[1, 2],
[3, 4]])>}
```
### Expected behavior
```python
>>> from datasets import Dataset
>>> data = [[[1, 2],[3, 4]],[[5, 6],[7, 8]]]
>>> ds = Dataset.from_dict({"data": data})
>>> ds = ds.with_format("torch")
>>> ds[0]
{'data': [tensor([1, 2]), tensor([3, 4])]}
>>> ds = ds.with_format("tf")
>>> ds[0]
{'data': <tf.RaggedTensor [[1, 2], [3, 4]]>}
```
### Environment info
datasets==2.19.1
torch==2.1.0
tensorflow==2.13.1 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6950/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6950/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6949 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6949/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6949/comments | https://api.github.com/repos/huggingface/datasets/issues/6949/events | https://github.com/huggingface/datasets/issues/6949 | 2332336573 | I_kwDODunzps6LBKG9 | 6949 | load_dataset error | {'login': 'lion-ops', 'id': 27952522, 'node_id': 'MDQ6VXNlcjI3OTUyNTIy', 'avatar_url': 'https://avatars.githubusercontent.com/u/27952522?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/lion-ops', 'html_url': 'https://github.com/lion-ops', 'followers_url': 'https://api.github.com/users/lion-ops/followers', 'following_url': 'https://api.github.com/users/lion-ops/following{/other_user}', 'gists_url': 'https://api.github.com/users/lion-ops/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/lion-ops/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/lion-ops/subscriptions', 'organizations_url': 'https://api.github.com/users/lion-ops/orgs', 'repos_url': 'https://api.github.com/users/lion-ops/repos', 'events_url': 'https://api.github.com/users/lion-ops/events{/privacy}', 'received_events_url': 'https://api.github.com/users/lion-ops/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"Hi, @lion-ops.\r\n\r\nIn our Continuous Integration we have many tests on loading JSON files and all of them work properly.\r\n\r\nCould you please share your \"train.json\" file, so that we can try to reproduce the issue you have? ",
"> Hi, @lion-ops.\r\n> \r\n> In our Continuous Integration we have many tests on loading JSON files and all of them work properly.\r\n> \r\n> Could you please share your \"train.json\" file, so that we can try to reproduce the issue you have?\r\n\r\nThank you for your reply. I can load it normally in another server. Is it possible that the disk of my server is a network disk in the LAN, so it will be downloaded from the LAN and get stuck?"
] | 2024-06-04T01:24:45 | 2024-07-01T11:33:46 | 2024-07-01 11:33:46+00:00 | NONE | nan | ### Describe the bug
Why does the program get stuck when I use load_dataset method, and it still gets stuck after loading for several hours? In fact, my json file is only 21m, and I can load it in one go using open('', 'r').
### Steps to reproduce the bug
1. pip install datasets==2.19.2
2. from datasets import Dataset, DatasetDict, NamedSplit, Split, load_dataset
3. data = load_dataset('json', data_files='train.json')
### Expected behavior
It is able to load my json correctly
### Environment info
datasets==2.19.2 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6949/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6949/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6948 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6948/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6948/comments | https://api.github.com/repos/huggingface/datasets/issues/6948/events | https://github.com/huggingface/datasets/issues/6948 | 2331758300 | I_kwDODunzps6K-87c | 6948 | to_tf_dataset: Visible devices cannot be modified after being initialized | {'login': 'logasja', 'id': 7151661, 'node_id': 'MDQ6VXNlcjcxNTE2NjE=', 'avatar_url': 'https://avatars.githubusercontent.com/u/7151661?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/logasja', 'html_url': 'https://github.com/logasja', 'followers_url': 'https://api.github.com/users/logasja/followers', 'following_url': 'https://api.github.com/users/logasja/following{/other_user}', 'gists_url': 'https://api.github.com/users/logasja/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/logasja/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/logasja/subscriptions', 'organizations_url': 'https://api.github.com/users/logasja/orgs', 'repos_url': 'https://api.github.com/users/logasja/repos', 'events_url': 'https://api.github.com/users/logasja/events{/privacy}', 'received_events_url': 'https://api.github.com/users/logasja/received_events', 'type': 'User', 'site_admin': False} | [] | open | False | None | [] | None | [] | 2024-06-03T18:10:57 | 2024-06-03T18:10:57 | NaT | NONE | nan | ### Describe the bug
When trying to use to_tf_dataset with a custom data_loader collate_fn when I use parallelism I am met with the following error as many times as number of workers there were in ``num_workers``.
File "/opt/miniconda/envs/env/lib/python3.11/site-packages/multiprocess/process.py", line 314, in _bootstrap
self.run()
File "/opt/miniconda/envs/env/lib/python3.11/site-packages/multiprocess/process.py", line 108, in run
self._target(*self._args, **self._kwargs)
File "/opt/miniconda/envs/env/lib/python3.11/site-packages/datasets/utils/tf_utils.py", line 438, in worker_loop
tf.config.set_visible_devices([], "GPU") # Make sure workers don't try to allocate GPU memory
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/opt/miniconda/envs/env/lib/python3.11/site-packages/tensorflow/python/framework/config.py", line 566, in set_visible_devices
context.context().set_visible_devices(devices, device_type)
File "/opt/miniconda/envs/env/lib/python3.11/site-packages/tensorflow/python/eager/context.py", line 1737, in set_visible_devices
raise RuntimeError(
RuntimeError: Visible devices cannot be modified after being initialized
### Steps to reproduce the bug
1. Download a dataset using HuggingFace load_dataset
2. Define a function that transforms the data in some way to be used in the collate_fn argument
3. Provide a ``batch_size`` and ``num_workers`` value in the ``to_tf_dataset`` function
4. Either retrieve directly or use tfds benchmark to test the dataset
``` python
from datasets import load_datasets
import tensorflow_datasets as tfds
from keras_cv.layers import Resizing
def data_loader(examples):
x = Resizing(examples[0]['image'], 256, 256, crop_to_aspect_ratio=True)
return {X[0]: x}
ds = load_datasets("logasja/FDF", split="test")
ds = ds.to_tf_dataset(collate_fn=data_loader, batch_size=16, num_workers=2)
tfds.benchmark(ds)
```
### Expected behavior
Use multiple processes to apply transformations from the collate_fn to the tf dataset on the CPU.
### Environment info
- `datasets` version: 2.19.1
- Platform: Linux-6.5.0-1023-oracle-x86_64-with-glibc2.35
- Python version: 3.11.8
- `huggingface_hub` version: 0.22.2
- PyArrow version: 15.0.2
- Pandas version: 2.2.1
- `fsspec` version: 2024.2.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6948/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6948/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6947 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6947/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6947/comments | https://api.github.com/repos/huggingface/datasets/issues/6947/events | https://github.com/huggingface/datasets/issues/6947 | 2331114055 | I_kwDODunzps6K8fpH | 6947 | FileNotFoundError：error when loading C4 dataset | {'login': 'W-215', 'id': 62374585, 'node_id': 'MDQ6VXNlcjYyMzc0NTg1', 'avatar_url': 'https://avatars.githubusercontent.com/u/62374585?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/W-215', 'html_url': 'https://github.com/W-215', 'followers_url': 'https://api.github.com/users/W-215/followers', 'following_url': 'https://api.github.com/users/W-215/following{/other_user}', 'gists_url': 'https://api.github.com/users/W-215/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/W-215/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/W-215/subscriptions', 'organizations_url': 'https://api.github.com/users/W-215/orgs', 'repos_url': 'https://api.github.com/users/W-215/repos', 'events_url': 'https://api.github.com/users/W-215/events{/privacy}', 'received_events_url': 'https://api.github.com/users/W-215/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"same problem here",
"Hello,\r\n\r\nAre you sure you are really using datasets version 2.19.2? We just made the patch release yesterday specifically to fix this issue:\r\n- #6925\r\n\r\nI can't reproduce the error:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation')\r\nDownloading readme: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 41.1k/41.1k [00:00<00:00, 596kB/s]\r\nDownloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40.7M/40.7M [00:04<00:00, 8.50MB/s]\r\nGenerating validation split: 45576 examples [00:01, 44956.75 examples/s]\r\n\r\nIn [3]: ds\r\nOut[3]: \r\nDataset({\r\n features: ['text', 'timestamp', 'url'],\r\n num_rows: 45576\r\n})\r\n```",
"> Hello,\r\n> \r\n> Are you sure you are really using datasets version 2.19.2? We just made the patch release yesterday specifically to fix this issue:\r\n> \r\n> * [Fix NonMatchingSplitsSizesError/ExpectedMoreSplits when passing data_dir/data_files in no-code Hub datasets #6925](https://github.com/huggingface/datasets/pull/6925)\r\n> \r\n> I can't reproduce the error:\r\n> \r\n> ```python\r\n> In [1]: from datasets import load_dataset\r\n> \r\n> In [2]: ds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation')\r\n> Downloading readme: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 41.1k/41.1k [00:00<00:00, 596kB/s]\r\n> Downloading data: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 40.7M/40.7M [00:04<00:00, 8.50MB/s]\r\n> Generating validation split: 45576 examples [00:01, 44956.75 examples/s]\r\n> \r\n> In [3]: ds\r\n> Out[3]: \r\n> Dataset({\r\n> features: ['text', 'timestamp', 'url'],\r\n> num_rows: 45576\r\n> })\r\n> ```\r\nThank you for your reply,ExpectedMoreSplits was encountered in datasets version 2.12.2. After I updated the version, that is, datasets version 2.19.2, I encountered the FileNotFoundError problem mentioned above.",
"That might be due to a corrupted cache.\r\n\r\nPlease, retry loading the dataset passing: `download_mode=\"force_redownload\"`\r\n```python\r\nds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation', download_mode=\"force_redownload\")\r\n```\r\n\r\nIt the above command does not fix the issue, then you will need to fix the cache manually, by removing the corresponding directory inside `~/.cache/huggingface/`.\r\n",
"> That might be due to a corrupted cache.\r\n> \r\n> Please, retry loading the dataset passing: `download_mode=\"force_redownload\"`\r\n> \r\n> ```python\r\n> ds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation', download_mode=\"force_redownload\")\r\n> ```\r\n> \r\n> It the above command does not fix the issue, then you will need to fix the cache manually, by removing the corresponding directory inside `~/.cache/huggingface/`.\r\n\r\nThe two methods you mentioned above can not solve this problem, but the command line interface shows Downloading readme: 41.1kB [00:00, 281kB/s], and then FileNotFoundError appears. It is worth noting that I have no problem loading other datasets with the initial method, such as wikitext datasets",
"> The two methods you mentioned above can not solve this problem, but the command line interface shows Downloading readme: 41.1kB [00:00, 281kB/s], and then FileNotFoundError appears.\r\n\r\nSame issue encountered.\r\n",
"I really think the issue is caused by a corrupted cache, between versions 2.12.0 (there does not exist 2.12.2 version) and 2.19.2.\r\n\r\nAre you sure you removed all the corresponding corrupted directories within the cache?\r\n\r\nYou can easily check if the issue is caused by a corrupted cache by removing the entire cache:\r\n```shell\r\nmv ~/.cache/huggingface ~/.cache/huggingface.bak\r\n```\r\nand then reloading the dataset:\r\n```python\r\nds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation', download_mode=\"force_redownload\")\r\n```",
"@albertvillanova Thanks for the reply. I tried removing the entire cache and reloading the dataset as you suggest. However, the same issue still exists. \r\n\r\nAs a test, I switch to a new platform, which (is a Windows system and) hasn't downloaded huggingface dataset before, and the dataset is loaded successfully. So I think \"a corrupted cache\" explanation makes sense. I wonder, besides `~/.cache/huggingface`, is there any other directory that may save the cache thing?\r\n\r\nAs a side note, I am using `datasets==2.20.0` and proxy `export HF_ENDPOINT=https://hf-mirror.com`.",
"Ho @ZhangGe6,\r\n\r\nAs far as I know, that directory is the only one where the cache is saved, unless you configured another one. You can check it:\r\n```python\r\nimport datasets.config\r\n\r\nprint(datasets.config.HF_CACHE_HOME)\r\n# ~/.cache/huggingface\r\n\r\nprint(datasets.config.HF_DATASETS_CACHE)\r\n# ~/.cache/huggingface/datasets\r\n\r\nprint(datasets.config.HF_MODULES_CACHE)\r\n# ~/.cache/huggingface/modules\r\n\r\nprint(datasets.config.DOWNLOADED_DATASETS_PATH)\r\n# ~/.cache/huggingface/datasets/downloads\r\n\r\nprint(datasets.config.EXTRACTED_DATASETS_PATH)\r\n# ~/.cache/huggingface/datasets/downloads/extracted\r\n```\r\n\r\nAdditionally, `datasets` uses `huggingface_hub`, but its cache directory should also be inside `~/.cache/huggingface`, unless you configured another one. You can check it:\r\n```python\r\nimport huggingface_hub.constants\r\n\r\nprint(huggingface_hub.constants.HF_HOME)\r\n# ~/.cache/huggingface\r\n\r\nprint(huggingface_hub.constants.HF_HUB_CACHE)\r\n# ~/.cache/huggingface/hub\r\n```",
"@albertvillanova I checked the directories you listed, and find that they are the same as the ones you provided. I am going to find more clues and will update what I find here.",
"I've had a similar problem, and for some reason decreasing the number of workers in the dataloader solved it",
"Same issue.\r\n",
"Hi folks. Finally, I find it is a network issue that causes huggingface hub unreachable (in China).\r\n\r\nTo run the following script \r\n```python\r\nfrom datasets import load_dataset\r\n\r\nds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation', download_mode=\"force_redownload\")\r\n```\r\nWithout setting `export HF_ENDPOINT=https://hf-mirror.com`, I get the following error log\r\n```bash\r\nTraceback (most recent call last):\r\n File \".\\demo.py\", line 8, in <module>\r\n ds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation', download_mode=\"force_redownload\")\r\n File \"D:\\SoftwareInstall\\Python\\lib\\site-packages\\datasets\\load.py\", line 2594, in load_dataset\r\n builder_instance = load_dataset_builder(\r\n File \"D:\\SoftwareInstall\\Python\\lib\\site-packages\\datasets\\load.py\", line 2266, in load_dataset_builder\r\n dataset_module = dataset_module_factory(\r\n File \"D:\\SoftwareInstall\\Python\\lib\\site-packages\\datasets\\load.py\", line 1914, in dataset_module_factory\r\n raise e1 from None\r\n File \"D:\\SoftwareInstall\\Python\\lib\\site-packages\\datasets\\load.py\", line 1845, in dataset_module_factory\r\n raise ConnectionError(f\"Couldn't reach '{path}' on the Hub ({e.__class__.__name__})\") from e\r\nConnectionError: Couldn't reach 'allenai/c4' on the Hub (ConnectionError)\r\n```\r\nAfter setting `export HF_ENDPOINT=https://hf-mirror.com`, I get the following error, which is exactly the same as what we are debugging in this issue\r\n```bash\r\nDownloading readme: 41.1kB [00:00, 41.1MB/s]\r\nTraceback (most recent call last):\r\n File \".\\demo.py\", line 8, in <module>\r\n ds = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation', download_mode=\"force_redownload\")\r\n File \"D:\\SoftwareInstall\\Python\\lib\\site-packages\\datasets\\load.py\", line 2594, in loa builder_instance = load_dataset_builder(\r\n File \"D:\\SoftwareInstall\\Python\\lib\\site-packages\\datasets\\load.py\", line 2266, in load_dataset_builder\r\n dataset_module = dataset_module_factory(\r\n raise FileNotFoundError(\r\nFileNotFoundError: Couldn't find a dataset script at C:\\Users\\ZhangGe\\Desktop\\allenai\\c4\\c4.py or any data file in the same directory. Couldn't find 'allenai/c4' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/allenai/c4@1588ec454eed extension ['.csv', '.tsv', '.json', '.jsonl', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.tar', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', \r\n'.h5', '.hdf', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns',pm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.H5', '.HDF', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', \r\n'.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.zip']\r\n```\r\n\r\n**Using a proxy software that avoids the internet access restrictions imposed by China, I can download the dataset using the same script**\r\n```bash\r\nDownloading readme: 100%|███████████████████████████████████████████| 41.1k/41.1k [00:00<00:00, 312kB/s] \r\nDownloading data: 100%|████████████████████████████████████████████| 40.7M/40.7M [00:19<00:00, 2.07MB/s] \r\nGenerating validation split: 45576 examples [00:00, 54883.48 examples/s]\r\n```\r\nSo `allenai/c4` is still unreachable even after setting `export HF_ENDPOINT=https://hf-mirror.com`.",
"I have created an issue to inform the maintainers of `hf-mirror`：https://github.com/padeoe/hf-mirror-site/issues/30",
"Thanks for the investigation: so finally it is an issue with the specific endpoint you are using.\r\n\r\nYou properly opened an issue in their repo, so they can fix it.\r\n\r\nI am closing this issue here."
] | 2024-06-03T13:06:33 | 2024-06-25T06:21:28 | 2024-06-25 06:21:28+00:00 | NONE | nan | ### Describe the bug
can't load c4 datasets
When I replace the datasets package to 2.12.2 I get raise datasets.utils.info_utils.ExpectedMoreSplits: {'train'}
How can I fix this？
### Steps to reproduce the bug
1.from datasets import load_dataset
2.dataset = load_dataset('allenai/c4', data_files={'validation': 'en/c4-validation.00003-of-00008.json.gz'}, split='validation')
3. raise FileNotFoundError(
FileNotFoundError: Couldn't find a dataset script at local_path/c4_val/allenai/c4/c4.py or any data file in the same directory. Couldn't find 'allenai/c4' on the Hugging Face Hub either: FileNotFoundError: Unable to find 'hf://datasets/allenai/c4@1588ec454efa1a09f29cd18ddd04fe05fc8653a2/en/c4-validation.00003-of-00008.json.gz' with any supported extension ['.csv', '.tsv', '.json', '.jsonl', '.parquet', '.geoparquet', '.gpq', '.arrow', '.txt', '.tar', '.blp', '.bmp', '.dib', '.bufr', '.cur', '.pcx', '.dcx', '.dds', '.ps', '.eps', '.fit', '.fits', '.fli', '.flc', '.ftc', '.ftu', '.gbr', '.gif', '.grib', '.h5', '.hdf', '.png', '.apng', '.jp2', '.j2k', '.jpc', '.jpf', '.jpx', '.j2c', '.icns', '.ico', '.im', '.iim', '.tif', '.tiff', '.jfif', '.jpe', '.jpg', '.jpeg', '.mpg', '.mpeg', '.msp', '.pcd', '.pxr', '.pbm', '.pgm', '.ppm', '.pnm', '.psd', '.bw', '.rgb', '.rgba', '.sgi', '.ras', '.tga', '.icb', '.vda', '.vst', '.webp', '.wmf', '.emf', '.xbm', '.xpm', '.BLP', '.BMP', '.DIB', '.BUFR', '.CUR', '.PCX', '.DCX', '.DDS', '.PS', '.EPS', '.FIT', '.FITS', '.FLI', '.FLC', '.FTC', '.FTU', '.GBR', '.GIF', '.GRIB', '.H5', '.HDF', '.PNG', '.APNG', '.JP2', '.J2K', '.JPC', '.JPF', '.JPX', '.J2C', '.ICNS', '.ICO', '.IM', '.IIM', '.TIF', '.TIFF', '.JFIF', '.JPE', '.JPG', '.JPEG', '.MPG', '.MPEG', '.MSP', '.PCD', '.PXR', '.PBM', '.PGM', '.PPM', '.PNM', '.PSD', '.BW', '.RGB', '.RGBA', '.SGI', '.RAS', '.TGA', '.ICB', '.VDA', '.VST', '.WEBP', '.WMF', '.EMF', '.XBM', '.XPM', '.aiff', '.au', '.avr', '.caf', '.flac', '.htk', '.svx', '.mat4', '.mat5', '.mpc2k', '.ogg', '.paf', '.pvf', '.raw', '.rf64', '.sd2', '.sds', '.ircam', '.voc', '.w64', '.wav', '.nist', '.wavex', '.wve', '.xi', '.mp3', '.opus', '.AIFF', '.AU', '.AVR', '.CAF', '.FLAC', '.HTK', '.SVX', '.MAT4', '.MAT5', '.MPC2K', '.OGG', '.PAF', '.PVF', '.RAW', '.RF64', '.SD2', '.SDS', '.IRCAM', '.VOC', '.W64', '.WAV', '.NIST', '.WAVEX', '.WVE', '.XI', '.MP3', '.OPUS', '.zip']
### Expected behavior
The data was successfully imported
### Environment info
python version 3.9
datasets version 2.19.2 | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6947/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6947/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6946 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6946/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6946/comments | https://api.github.com/repos/huggingface/datasets/issues/6946/events | https://github.com/huggingface/datasets/pull/6946 | 2330276848 | PR_kwDODunzps5xQNao | 6946 | Re-enable import sorting disabled by flake8:noqa directive when using ruff linter | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6946). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.004847 / 0.011353 (-0.006506) | 0.003199 / 0.011008 (-0.007810) | 0.060677 / 0.038508 (0.022169) | 0.030544 / 0.023109 (0.007435) | 0.240870 / 0.275898 (-0.035028) | 0.261320 / 0.323480 (-0.062160) | 0.002816 / 0.007986 (-0.005170) | 0.002483 / 0.004328 (-0.001845) | 0.048527 / 0.004250 (0.044277) | 0.045496 / 0.037052 (0.008444) | 0.251296 / 0.258489 (-0.007193) | 0.285746 / 0.293841 (-0.008095) | 0.025076 / 0.128546 (-0.103470) | 0.009417 / 0.075646 (-0.066229) | 0.191361 / 0.419271 (-0.227911) | 0.033778 / 0.043533 (-0.009755) | 0.235581 / 0.255139 (-0.019558) | 0.261069 / 0.283200 (-0.022131) | 0.018255 / 0.141683 (-0.123428) | 1.098437 / 1.452155 (-0.353718) | 1.127124 / 1.492716 (-0.365592) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.004479 / 0.018006 (-0.013527) | 0.283706 / 0.000490 (0.283216) | 0.000214 / 0.000200 (0.000014) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018364 / 0.037411 (-0.019048) | 0.058398 / 0.014526 (0.043872) | 0.073056 / 0.176557 (-0.103501) | 0.117147 / 0.737135 (-0.619989) | 0.073683 / 0.296338 (-0.222656) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.265121 / 0.215209 (0.049912) | 2.636981 / 2.077655 (0.559327) | 1.380192 / 1.504120 (-0.123928) | 1.270779 / 1.541195 (-0.270416) | 1.295729 / 1.468490 (-0.172762) | 0.523768 / 4.584777 (-4.061009) | 2.295720 / 3.745712 (-1.449992) | 2.519211 / 5.269862 (-2.750650) | 1.618712 / 4.565676 (-2.946965) | 0.058321 / 0.424275 (-0.365954) | 0.004492 / 0.007607 (-0.003115) | 0.316101 / 0.226044 (0.090057) | 3.169913 / 2.268929 (0.900984) | 1.793412 / 55.444624 (-53.651213) | 1.473784 / 6.876477 (-5.402693) | 1.565325 / 2.142072 (-0.576748) | 0.592734 / 4.805227 (-4.212493) | 0.109333 / 6.500664 (-6.391331) | 0.039063 / 0.075469 (-0.036406) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.935504 / 1.841788 (-0.906284) | 10.865520 / 8.074308 (2.791212) | 9.219337 / 10.191392 (-0.972055) | 0.135284 / 0.680424 (-0.545140) | 0.013664 / 0.534201 (-0.520537) | 0.271601 / 0.579283 (-0.307682) | 0.260456 / 0.434364 (-0.173908) | 0.302931 / 0.540337 (-0.237406) | 0.414643 / 1.386936 (-0.972293) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.004801 / 0.011353 (-0.006552) | 0.003092 / 0.011008 (-0.007917) | 0.046471 / 0.038508 (0.007963) | 0.031337 / 0.023109 (0.008228) | 0.258920 / 0.275898 (-0.016978) | 0.269842 / 0.323480 (-0.053638) | 0.003976 / 0.007986 (-0.004009) | 0.002661 / 0.004328 (-0.001668) | 0.045676 / 0.004250 (0.041426) | 0.038199 / 0.037052 (0.001146) | 0.277382 / 0.258489 (0.018893) | 0.289351 / 0.293841 (-0.004490) | 0.028452 / 0.128546 (-0.100094) | 0.009737 / 0.075646 (-0.065910) | 0.055201 / 0.419271 (-0.364071) | 0.032686 / 0.043533 (-0.010847) | 0.259617 / 0.255139 (0.004478) | 0.277163 / 0.283200 (-0.006037) | 0.017825 / 0.141683 (-0.123858) | 1.102797 / 1.452155 (-0.349357) | 1.105018 / 1.492716 (-0.387699) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.094844 / 0.018006 (0.076838) | 0.290519 / 0.000490 (0.290029) | 0.000211 / 0.000200 (0.000012) | 0.000050 / 0.000054 (-0.000004) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.021917 / 0.037411 (-0.015494) | 0.075278 / 0.014526 (0.060753) | 0.085971 / 0.176557 (-0.090586) | 0.127072 / 0.737135 (-0.610063) | 0.088244 / 0.296338 (-0.208095) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.276704 / 0.215209 (0.061495) | 2.736960 / 2.077655 (0.659305) | 1.519634 / 1.504120 (0.015514) | 1.403026 / 1.541195 (-0.138168) | 1.418465 / 1.468490 (-0.050025) | 0.552425 / 4.584777 (-4.032352) | 0.955244 / 3.745712 (-2.790468) | 2.556563 / 5.269862 (-2.713298) | 1.705095 / 4.565676 (-2.860582) | 0.061212 / 0.424275 (-0.363063) | 0.004707 / 0.007607 (-0.002900) | 0.326284 / 0.226044 (0.100239) | 3.253911 / 2.268929 (0.984983) | 1.868649 / 55.444624 (-53.575976) | 1.598697 / 6.876477 (-5.277780) | 1.682617 / 2.142072 (-0.459455) | 0.606379 / 4.805227 (-4.198848) | 0.114126 / 6.500664 (-6.386538) | 0.038869 / 0.075469 (-0.036601) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.966354 / 1.841788 (-0.875433) | 11.575918 / 8.074308 (3.501609) | 9.816597 / 10.191392 (-0.374795) | 0.141492 / 0.680424 (-0.538932) | 0.015375 / 0.534201 (-0.518826) | 0.276027 / 0.579283 (-0.303256) | 0.118979 / 0.434364 (-0.315385) | 0.313467 / 0.540337 (-0.226870) | 0.403539 / 1.386936 (-0.983397) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#1b59c75856d765e60b66a5216062102d001c6612 \"CML watermark\")\n"
] | 2024-06-03T06:24:47 | 2024-06-04T10:00:08 | 2024-06-04 09:54:23+00:00 | MEMBER | nan | Re-enable import sorting that was wrongly disabled by `flake8: noqa` directive after switching to `ruff` linter in datasets-2.10.0 PR:
- #5519
Note that after the linter switch, we wrongly replaced `flake8: noqa` with `ruff: noqa` in datasets-2.17.0 PR:
- #6619
That replacement was wrong because we kept the `isort: skip` directives although they were indeed disabled by `flake8: noqa` first and by `ruff: noqa` afterwards. See for example `__init__.py` file after the linter switch:
- We kept the `flake8: noqa` directive
https://github.com/huggingface/datasets/blob/06ae3f678651bfbb3ca7dd3274ee2f38e0e0237e/src/datasets/__init__.py#L1
- Whereas we also kept the `isort: skip` directives (that were disabled)
https://github.com/huggingface/datasets/blob/06ae3f678651bfbb3ca7dd3274ee2f38e0e0237e/src/datasets/__init__.py#L82-L84
Fix #6942. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6946/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6946/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6946', 'html_url': 'https://github.com/huggingface/datasets/pull/6946', 'diff_url': 'https://github.com/huggingface/datasets/pull/6946.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6946.patch', 'merged_at': '2024-06-04T09:54:23Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6945 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6945/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6945/comments | https://api.github.com/repos/huggingface/datasets/issues/6945/events | https://github.com/huggingface/datasets/pull/6945 | 2330224869 | PR_kwDODunzps5xQCCx | 6945 | Update yanked version of minimum requests requirement | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6945). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005725 / 0.011353 (-0.005627) | 0.003788 / 0.011008 (-0.007220) | 0.063059 / 0.038508 (0.024551) | 0.031364 / 0.023109 (0.008255) | 0.259209 / 0.275898 (-0.016689) | 0.278805 / 0.323480 (-0.044675) | 0.003032 / 0.007986 (-0.004953) | 0.002633 / 0.004328 (-0.001696) | 0.049804 / 0.004250 (0.045554) | 0.046717 / 0.037052 (0.009665) | 0.267246 / 0.258489 (0.008757) | 0.299271 / 0.293841 (0.005430) | 0.027687 / 0.128546 (-0.100860) | 0.010524 / 0.075646 (-0.065123) | 0.201736 / 0.419271 (-0.217536) | 0.036192 / 0.043533 (-0.007341) | 0.264492 / 0.255139 (0.009353) | 0.280809 / 0.283200 (-0.002391) | 0.018187 / 0.141683 (-0.123496) | 1.170751 / 1.452155 (-0.281404) | 1.223450 / 1.492716 (-0.269266) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.096610 / 0.018006 (0.078604) | 0.297122 / 0.000490 (0.296632) | 0.000211 / 0.000200 (0.000011) | 0.000046 / 0.000054 (-0.000008) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018380 / 0.037411 (-0.019031) | 0.062214 / 0.014526 (0.047688) | 0.075833 / 0.176557 (-0.100723) | 0.121825 / 0.737135 (-0.615310) | 0.075475 / 0.296338 (-0.220864) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.275601 / 0.215209 (0.060392) | 2.698014 / 2.077655 (0.620359) | 1.434043 / 1.504120 (-0.070077) | 1.313217 / 1.541195 (-0.227978) | 1.339014 / 1.468490 (-0.129476) | 0.566703 / 4.584777 (-4.018074) | 2.367794 / 3.745712 (-1.377918) | 2.660787 / 5.269862 (-2.609074) | 1.738503 / 4.565676 (-2.827174) | 0.061693 / 0.424275 (-0.362582) | 0.004978 / 0.007607 (-0.002629) | 0.334719 / 0.226044 (0.108675) | 3.300889 / 2.268929 (1.031960) | 1.764493 / 55.444624 (-53.680131) | 1.475956 / 6.876477 (-5.400521) | 1.635988 / 2.142072 (-0.506084) | 0.643906 / 4.805227 (-4.161321) | 0.118002 / 6.500664 (-6.382662) | 0.042593 / 0.075469 (-0.032876) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.953511 / 1.841788 (-0.888276) | 11.489727 / 8.074308 (3.415419) | 9.775017 / 10.191392 (-0.416375) | 0.139864 / 0.680424 (-0.540560) | 0.014219 / 0.534201 (-0.519982) | 0.284389 / 0.579283 (-0.294894) | 0.264250 / 0.434364 (-0.170113) | 0.323471 / 0.540337 (-0.216866) | 0.415189 / 1.386936 (-0.971747) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005437 / 0.011353 (-0.005916) | 0.003710 / 0.011008 (-0.007298) | 0.049940 / 0.038508 (0.011432) | 0.032565 / 0.023109 (0.009456) | 0.266374 / 0.275898 (-0.009524) | 0.288069 / 0.323480 (-0.035411) | 0.004140 / 0.007986 (-0.003845) | 0.002669 / 0.004328 (-0.001660) | 0.049646 / 0.004250 (0.045395) | 0.040926 / 0.037052 (0.003874) | 0.278805 / 0.258489 (0.020316) | 0.311396 / 0.293841 (0.017555) | 0.029363 / 0.128546 (-0.099183) | 0.010260 / 0.075646 (-0.065386) | 0.058222 / 0.419271 (-0.361049) | 0.033063 / 0.043533 (-0.010470) | 0.266798 / 0.255139 (0.011659) | 0.283091 / 0.283200 (-0.000109) | 0.017904 / 0.141683 (-0.123779) | 1.139531 / 1.452155 (-0.312624) | 1.163909 / 1.492716 (-0.328808) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.089063 / 0.018006 (0.071057) | 0.296757 / 0.000490 (0.296268) | 0.000202 / 0.000200 (0.000002) | 0.000054 / 0.000054 (-0.000001) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022843 / 0.037411 (-0.014568) | 0.076032 / 0.014526 (0.061507) | 0.087545 / 0.176557 (-0.089012) | 0.128870 / 0.737135 (-0.608266) | 0.089359 / 0.296338 (-0.206980) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.285213 / 0.215209 (0.070004) | 2.854950 / 2.077655 (0.777295) | 1.539311 / 1.504120 (0.035191) | 1.413753 / 1.541195 (-0.127442) | 1.440819 / 1.468490 (-0.027671) | 0.564734 / 4.584777 (-4.020043) | 0.944924 / 3.745712 (-2.800788) | 2.703612 / 5.269862 (-2.566249) | 1.749429 / 4.565676 (-2.816247) | 0.063239 / 0.424275 (-0.361036) | 0.005024 / 0.007607 (-0.002583) | 0.340866 / 0.226044 (0.114821) | 3.359511 / 2.268929 (1.090582) | 1.895794 / 55.444624 (-53.548831) | 1.606613 / 6.876477 (-5.269864) | 1.756539 / 2.142072 (-0.385533) | 0.646553 / 4.805227 (-4.158675) | 0.121278 / 6.500664 (-6.379386) | 0.041066 / 0.075469 (-0.034403) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.005548 / 1.841788 (-0.836240) | 12.080103 / 8.074308 (4.005794) | 10.444822 / 10.191392 (0.253430) | 0.145024 / 0.680424 (-0.535400) | 0.015287 / 0.534201 (-0.518914) | 0.288567 / 0.579283 (-0.290716) | 0.118034 / 0.434364 (-0.316330) | 0.333474 / 0.540337 (-0.206864) | 0.421716 / 1.386936 (-0.965220) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#3d95159dbd918009e1ff710dba0cd15d96d4264e \"CML watermark\")\n",
"@albertvillanova could I ask why we should use latest `requests` here? we are using `docker` and `datasets` in the same time. However, docker requires requests<2.32.0.",
"Hi @pingsutw,\r\n\r\nWe updated the minimum required `requests` version for security reasons: https://www.cve.org/CVERecord?id=CVE-2024-35195\r\n- affected versions < 2.32.0 \r\n\r\nLatest version of `docker` should normally support `requests` >= 2.32.0: https://github.com/docker/docker-py/releases/tag/7.1.0\r\n> Fixed an issue due to an update in the [requests](https://github.com/psf/requests) package breaking docker-py by applying the https://github.com/psf/requests/pull/6710\r\n- https://github.com/docker/docker-py/pull/3257\r\n\r\nI guess you need to update your `docker` library as well:\r\n```\r\npip install -U docker\r\n```",
"> I guess you need to update your docker library as well:\r\n\r\nThank you! it works for me 👍 "
] | 2024-06-03T05:45:50 | 2024-06-18T07:36:15 | 2024-06-03 06:09:43+00:00 | MEMBER | nan | Update yanked version of minimum requests requirement.
Version 2.32.1 was yanked: https://pypi.org/project/requests/2.32.1/ | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6945/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6945/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6945', 'html_url': 'https://github.com/huggingface/datasets/pull/6945', 'diff_url': 'https://github.com/huggingface/datasets/pull/6945.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6945.patch', 'merged_at': '2024-06-03T06:09:43Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6944 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6944/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6944/comments | https://api.github.com/repos/huggingface/datasets/issues/6944/events | https://github.com/huggingface/datasets/pull/6944 | 2330207120 | PR_kwDODunzps5xP-KD | 6944 | Set dev version | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6944). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005150 / 0.011353 (-0.006203) | 0.003663 / 0.011008 (-0.007346) | 0.062832 / 0.038508 (0.024324) | 0.031928 / 0.023109 (0.008819) | 0.246455 / 0.275898 (-0.029443) | 0.272121 / 0.323480 (-0.051359) | 0.004220 / 0.007986 (-0.003765) | 0.002756 / 0.004328 (-0.001573) | 0.050071 / 0.004250 (0.045821) | 0.046074 / 0.037052 (0.009022) | 0.259676 / 0.258489 (0.001187) | 0.290674 / 0.293841 (-0.003167) | 0.027822 / 0.128546 (-0.100724) | 0.010791 / 0.075646 (-0.064855) | 0.202827 / 0.419271 (-0.216445) | 0.037057 / 0.043533 (-0.006476) | 0.256128 / 0.255139 (0.000989) | 0.269422 / 0.283200 (-0.013777) | 0.017395 / 0.141683 (-0.124288) | 1.125919 / 1.452155 (-0.326236) | 1.177708 / 1.492716 (-0.315008) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.098466 / 0.018006 (0.080460) | 0.305508 / 0.000490 (0.305018) | 0.000232 / 0.000200 (0.000032) | 0.000043 / 0.000054 (-0.000011) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.018866 / 0.037411 (-0.018545) | 0.062079 / 0.014526 (0.047553) | 0.074670 / 0.176557 (-0.101886) | 0.121025 / 0.737135 (-0.616111) | 0.075883 / 0.296338 (-0.220455) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.291880 / 0.215209 (0.076671) | 2.874064 / 2.077655 (0.796409) | 1.477040 / 1.504120 (-0.027080) | 1.356198 / 1.541195 (-0.184997) | 1.354676 / 1.468490 (-0.113814) | 0.559731 / 4.584777 (-4.025046) | 2.362746 / 3.745712 (-1.382966) | 2.678838 / 5.269862 (-2.591024) | 1.752633 / 4.565676 (-2.813044) | 0.064023 / 0.424275 (-0.360252) | 0.005035 / 0.007607 (-0.002572) | 0.354807 / 0.226044 (0.128762) | 3.424463 / 2.268929 (1.155534) | 1.810476 / 55.444624 (-53.634149) | 1.519031 / 6.876477 (-5.357446) | 1.693957 / 2.142072 (-0.448116) | 0.647987 / 4.805227 (-4.157240) | 0.118993 / 6.500664 (-6.381671) | 0.042186 / 0.075469 (-0.033283) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.982565 / 1.841788 (-0.859223) | 11.645075 / 8.074308 (3.570767) | 9.588360 / 10.191392 (-0.603032) | 0.142369 / 0.680424 (-0.538055) | 0.014025 / 0.534201 (-0.520176) | 0.285668 / 0.579283 (-0.293616) | 0.265825 / 0.434364 (-0.168539) | 0.323371 / 0.540337 (-0.216966) | 0.421227 / 1.386936 (-0.965709) |\n\n</details>\nPyArrow==latest\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_as_numpy after write_nested_sequence | read_batch_unformated after write_array2d | read_batch_unformated after write_flattened_sequence | read_batch_unformated after write_nested_sequence | read_col_formatted_as_numpy after write_array2d | read_col_formatted_as_numpy after write_flattened_sequence | read_col_formatted_as_numpy after write_nested_sequence | read_col_unformated after write_array2d | read_col_unformated after write_flattened_sequence | read_col_unformated after write_nested_sequence | read_formatted_as_numpy after write_array2d | read_formatted_as_numpy after write_flattened_sequence | read_formatted_as_numpy after write_nested_sequence | read_unformated after write_array2d | read_unformated after write_flattened_sequence | read_unformated after write_nested_sequence | write_array2d | write_flattened_sequence | write_nested_sequence |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.005587 / 0.011353 (-0.005766) | 0.003664 / 0.011008 (-0.007345) | 0.050411 / 0.038508 (0.011903) | 0.033268 / 0.023109 (0.010159) | 0.266631 / 0.275898 (-0.009267) | 0.291135 / 0.323480 (-0.032345) | 0.004275 / 0.007986 (-0.003710) | 0.002822 / 0.004328 (-0.001506) | 0.049349 / 0.004250 (0.045099) | 0.040653 / 0.037052 (0.003601) | 0.282641 / 0.258489 (0.024152) | 0.315460 / 0.293841 (0.021619) | 0.029343 / 0.128546 (-0.099203) | 0.010606 / 0.075646 (-0.065040) | 0.058783 / 0.419271 (-0.360489) | 0.033205 / 0.043533 (-0.010327) | 0.266805 / 0.255139 (0.011666) | 0.288907 / 0.283200 (0.005707) | 0.017817 / 0.141683 (-0.123866) | 1.128132 / 1.452155 (-0.324023) | 1.175120 / 1.492716 (-0.317597) |\n\n### Benchmark: benchmark_getitem\\_100B.json\n\n| metric | get_batch_of\\_1024\\_random_rows | get_batch_of\\_1024\\_rows | get_first_row | get_last_row |\n|--------|---|---|---|---|\n| new / old (diff) | 0.095653 / 0.018006 (0.077647) | 0.304825 / 0.000490 (0.304335) | 0.000212 / 0.000200 (0.000012) | 0.000045 / 0.000054 (-0.000010) |\n\n### Benchmark: benchmark_indices_mapping.json\n\n| metric | select | shard | shuffle | sort | train_test_split |\n|--------|---|---|---|---|---|\n| new / old (diff) | 0.022766 / 0.037411 (-0.014645) | 0.076598 / 0.014526 (0.062072) | 0.088314 / 0.176557 (-0.088242) | 0.127888 / 0.737135 (-0.609247) | 0.090391 / 0.296338 (-0.205947) |\n\n### Benchmark: benchmark_iterating.json\n\n| metric | read 5000 | read 50000 | read_batch 50000 10 | read_batch 50000 100 | read_batch 50000 1000 | read_formatted numpy 5000 | read_formatted pandas 5000 | read_formatted tensorflow 5000 | read_formatted torch 5000 | read_formatted_batch numpy 5000 10 | read_formatted_batch numpy 5000 1000 | shuffled read 5000 | shuffled read 50000 | shuffled read_batch 50000 10 | shuffled read_batch 50000 100 | shuffled read_batch 50000 1000 | shuffled read_formatted numpy 5000 | shuffled read_formatted_batch numpy 5000 10 | shuffled read_formatted_batch numpy 5000 1000 |\n|--------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 0.293384 / 0.215209 (0.078175) | 2.883742 / 2.077655 (0.806087) | 1.533868 / 1.504120 (0.029748) | 1.391964 / 1.541195 (-0.149231) | 1.423732 / 1.468490 (-0.044759) | 0.575457 / 4.584777 (-4.009320) | 0.970860 / 3.745712 (-2.774852) | 2.711405 / 5.269862 (-2.558457) | 1.774468 / 4.565676 (-2.791208) | 0.064611 / 0.424275 (-0.359664) | 0.005120 / 0.007607 (-0.002487) | 0.343892 / 0.226044 (0.117847) | 3.362579 / 2.268929 (1.093650) | 1.880200 / 55.444624 (-53.564424) | 1.587435 / 6.876477 (-5.289042) | 1.756464 / 2.142072 (-0.385609) | 0.661469 / 4.805227 (-4.143759) | 0.119030 / 6.500664 (-6.381634) | 0.041704 / 0.075469 (-0.033765) |\n\n### Benchmark: benchmark_map_filter.json\n\n| metric | filter | map fast-tokenizer batched | map identity | map identity batched | map no-op batched | map no-op batched numpy | map no-op batched pandas | map no-op batched pytorch | map no-op batched tensorflow |\n|--------|---|---|---|---|---|---|---|---|---|\n| new / old (diff) | 1.025008 / 1.841788 (-0.816780) | 12.146244 / 8.074308 (4.071936) | 10.397267 / 10.191392 (0.205875) | 0.145917 / 0.680424 (-0.534507) | 0.015779 / 0.534201 (-0.518422) | 0.287122 / 0.579283 (-0.292161) | 0.125464 / 0.434364 (-0.308900) | 0.323315 / 0.540337 (-0.217023) | 0.416761 / 1.386936 (-0.970175) |\n\n</details>\n</details>\n\n![](https://cml.dev/watermark.png#e2d15a6b1871f3998986853298e4338d72891491 \"CML watermark\")\n"
] | 2024-06-03T05:29:59 | 2024-06-03T05:37:51 | 2024-06-03 05:31:47+00:00 | MEMBER | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6944/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6944/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6944', 'html_url': 'https://github.com/huggingface/datasets/pull/6944', 'diff_url': 'https://github.com/huggingface/datasets/pull/6944.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6944.patch', 'merged_at': '2024-06-03T05:31:46Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6943 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6943/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6943/comments | https://api.github.com/repos/huggingface/datasets/issues/6943/events | https://github.com/huggingface/datasets/pull/6943 | 2330176890 | PR_kwDODunzps5xP3jp | 6943 | Release 2.19.2 | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [] | closed | False | None | [] | None | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6943). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | 2024-06-03T05:01:50 | 2024-06-03T05:17:41 | 2024-06-03 05:17:40+00:00 | MEMBER | nan | None | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6943/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6943/timeline | nan | None | 0.0 | {'url': 'https://api.github.com/repos/huggingface/datasets/pulls/6943', 'html_url': 'https://github.com/huggingface/datasets/pull/6943', 'diff_url': 'https://github.com/huggingface/datasets/pull/6943.diff', 'patch_url': 'https://github.com/huggingface/datasets/pull/6943.patch', 'merged_at': '2024-06-03T05:17:40Z'} | true |
https://api.github.com/repos/huggingface/datasets/issues/6942 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6942/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6942/comments | https://api.github.com/repos/huggingface/datasets/issues/6942/events | https://github.com/huggingface/datasets/issues/6942 | 2329562382 | I_kwDODunzps6K2k0O | 6942 | Import sorting is disabled by flake8 noqa directive after switching to ruff linter | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'id': 4296013012, 'node_id': 'LA_kwDODunzps8AAAABAA_01A', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/maintenance', 'name': 'maintenance', 'color': 'd4c5f9', 'default': False, 'description': 'Maintenance tasks'}] | closed | False | {'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False} | [{'login': 'albertvillanova', 'id': 8515462, 'node_id': 'MDQ6VXNlcjg1MTU0NjI=', 'avatar_url': 'https://avatars.githubusercontent.com/u/8515462?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/albertvillanova', 'html_url': 'https://github.com/albertvillanova', 'followers_url': 'https://api.github.com/users/albertvillanova/followers', 'following_url': 'https://api.github.com/users/albertvillanova/following{/other_user}', 'gists_url': 'https://api.github.com/users/albertvillanova/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/albertvillanova/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/albertvillanova/subscriptions', 'organizations_url': 'https://api.github.com/users/albertvillanova/orgs', 'repos_url': 'https://api.github.com/users/albertvillanova/repos', 'events_url': 'https://api.github.com/users/albertvillanova/events{/privacy}', 'received_events_url': 'https://api.github.com/users/albertvillanova/received_events', 'type': 'User', 'site_admin': False}] | None | [] | 2024-06-02T09:43:34 | 2024-06-04T09:54:24 | 2024-06-04 09:54:24+00:00 | MEMBER | nan | When we switched to `ruff` linter in PR:
- #5519
import sorting was disabled in all files containing the `# flake8: noqa` directive
- https://github.com/astral-sh/ruff/issues/11679
We should re-enable import sorting on those files. | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6942/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6942/timeline | nan | completed | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6941/comments | https://api.github.com/repos/huggingface/datasets/issues/6941/events | https://github.com/huggingface/datasets/issues/6941 | 2328930165 | I_kwDODunzps6K0Kd1 | 6941 | Supporting FFCV: Fast Forward Computer Vision | {'login': 'Luciennnnnnn', 'id': 20135317, 'node_id': 'MDQ6VXNlcjIwMTM1MzE3', 'avatar_url': 'https://avatars.githubusercontent.com/u/20135317?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/Luciennnnnnn', 'html_url': 'https://github.com/Luciennnnnnn', 'followers_url': 'https://api.github.com/users/Luciennnnnnn/followers', 'following_url': 'https://api.github.com/users/Luciennnnnnn/following{/other_user}', 'gists_url': 'https://api.github.com/users/Luciennnnnnn/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/Luciennnnnnn/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/Luciennnnnnn/subscriptions', 'organizations_url': 'https://api.github.com/users/Luciennnnnnn/orgs', 'repos_url': 'https://api.github.com/users/Luciennnnnnn/repos', 'events_url': 'https://api.github.com/users/Luciennnnnnn/events{/privacy}', 'received_events_url': 'https://api.github.com/users/Luciennnnnnn/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892871, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement', 'name': 'enhancement', 'color': 'a2eeef', 'default': True, 'description': 'New feature or request'}] | open | False | None | [] | None | [] | 2024-06-01T05:34:52 | 2024-06-01T05:34:52 | NaT | NONE | nan | ### Feature request
Supporting FFCV, https://github.com/libffcv/ffcv
### Motivation
According to the benchmark, FFCV seems to be fastest image loading method.
### Your contribution
no | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6941/reactions', 'total_count': 1, '+1': 1, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6941/timeline | nan | None | nan | None | true |
https://api.github.com/repos/huggingface/datasets/issues/6940 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6940/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6940/comments | https://api.github.com/repos/huggingface/datasets/issues/6940/events | https://github.com/huggingface/datasets/issues/6940 | 2328637831 | I_kwDODunzps6KzDGH | 6940 | Enable Sharding to Equal Sized Shards | {'login': 'yuvalkirstain', 'id': 57996478, 'node_id': 'MDQ6VXNlcjU3OTk2NDc4', 'avatar_url': 'https://avatars.githubusercontent.com/u/57996478?v=4', 'gravatar_id': '', 'url': 'https://api.github.com/users/yuvalkirstain', 'html_url': 'https://github.com/yuvalkirstain', 'followers_url': 'https://api.github.com/users/yuvalkirstain/followers', 'following_url': 'https://api.github.com/users/yuvalkirstain/following{/other_user}', 'gists_url': 'https://api.github.com/users/yuvalkirstain/gists{/gist_id}', 'starred_url': 'https://api.github.com/users/yuvalkirstain/starred{/owner}{/repo}', 'subscriptions_url': 'https://api.github.com/users/yuvalkirstain/subscriptions', 'organizations_url': 'https://api.github.com/users/yuvalkirstain/orgs', 'repos_url': 'https://api.github.com/users/yuvalkirstain/repos', 'events_url': 'https://api.github.com/users/yuvalkirstain/events{/privacy}', 'received_events_url': 'https://api.github.com/users/yuvalkirstain/received_events', 'type': 'User', 'site_admin': False} | [{'id': 1935892871, 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx', 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement', 'name': 'enhancement', 'color': 'a2eeef', 'default': True, 'description': 'New feature or request'}] | open | False | None | [] | None | [] | 2024-05-31T21:55:50 | 2024-06-01T07:34:12 | NaT | NONE | nan | ### Feature request
Add an option when sharding a dataset to have all shards the same size. Will be good to provide both an option of duplication, and by truncation.
### Motivation
Currently the behavior of sharding is "If n % i == l, then the first l shards will have length (n // i) + 1, and the remaining shards will have length (n // i).". However, when using FSDP we want the shards to have the same size. This requires the user to manually handle this situation, but it will be nice if we had an option to shard the dataset into equally sized shards.
### Your contribution
For now just a PR. I can also add code that does what is needed, but probably not efficient.
Shard to equal size by duplication:
```
remainder = len(dataset) % num_shards
num_missing_examples = num_shards - remainder
duplicated = dataset.select(list(range(num_missing_examples)))
dataset = concatenate_datasets([dataset, duplicated])
shard = dataset.shard(num_shards, shard_idx)
```
Or by truncation:
```
shard = dataset.shard(num_shards, shard_idx)
num_examples_per_shard = len(dataset) // num_shards
shard = shard.select(list(range(num_examples_per_shard)))
``` | {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6940/reactions', 'total_count': 0, '+1': 0, '-1': 0, 'laugh': 0, 'hooray': 0, 'confused': 0, 'heart': 0, 'rocket': 0, 'eyes': 0} | https://api.github.com/repos/huggingface/datasets/issues/6940/timeline | nan | None | nan | None | true |