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COMET was [presented at EMNLP20](https://www.aclweb.org/anthology/2020.emnlp-main.213/) and it is the highest performing metric, so far, on the WMT19 benchmark.
We also participated in the [WMT20 Metrics shared task ](http://www.statmt.org/wmt20/pdf/2020.wmt-1.101.pdf) where once again COMET was validated as a top-performing metric.
I hope that this metric will help researcher's and industry workers to better validate their MT systems in the future 🤗 !
Cheers,
Ricardo
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There are two problems here:
i) `quote_char' is misspelled, must be `quotechar'
ii) the documentation should mention `quoting' | {
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With suggested changes in #1330 | {
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} | 2020-12-14T10:35:09Z | https://api.github.com/repos/huggingface/datasets/issues/1564/comments | I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution | {
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https://github.com/tmu-nlp/TMU-GFM-Dataset
A dataset for GEC metrics with manual evaluations of grammaticality, fluency, and meaning preservation for system outputs.
More detail about the creation of the dataset can be found in [Yoshimura et al. (2020)](https://www.aclweb.org/anthology/2020.coling-main.573.pdf). | {
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See https://github.com/facebookresearch/LAMA for more details. | {
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And a thank you note at the end :hugs: | {
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Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_ner | {
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} | 2020-12-13T21:59:02Z | https://api.github.com/repos/huggingface/datasets/issues/1553/comments | UPDATE2 (3797ce5): Updated for multi-configs
UPDATE (7018082): manually created the dummy_datasets. All tests were cleared locally. Pushed it to origin/master
DRAFT VERSION (57fdb20): (_no longer draft_)
Uploaded the air_dialogue database.
dummy_data creation was failing in local, since the original downloaded file has some nested folders. Pushing it since the tests with real data was cleared. Will re-check & update via manually creating some dummy_data | {
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I have completed the readme , tags and other required things. I need to create the metadata json once tests get successful.
Opening a PR while working with Yacine Jernite to resolve my pytest issues. | {
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README has to be updated. | {
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https://github.com/HaniehP/PersianNER
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Link: https://github.com/m3hrdadfi/wiki-summary | {
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765,439,746 | https://api.github.com/repos/huggingface/datasets/issues/1542 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1542/events | [] | null | 2020-12-13T17:16:41Z | [] | https://github.com/huggingface/datasets/pull/1542 | MEMBER | null | false | null | [] | fix typo readme | {
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|
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} | MDU6SXNzdWU3NjU0MzA1ODY= | null | 2020-12-13T14:27:00Z | https://api.github.com/repos/huggingface/datasets/issues/1541/comments | Hi
I am running my codes on google cloud, and I am getting this error resulting in the failure of the codes when trying to download the data, could you assist me to solve this? also as a temporary solution, could you tell me how I can increase the number of retries and timeout to at least let the models run for now. thanks
```
Traceback (most recent call last):
File "finetune_t5_trainer.py", line 361, in <module>
main()
File "finetune_t5_trainer.py", line 269, in main
add_prefix=False if training_args.train_adapters else True)
File "/workdir/seq2seq/data/tasks.py", line 70, in get_dataset
dataset = self.load_dataset(split=split)
File "/workdir/seq2seq/data/tasks.py", line 306, in load_dataset
return datasets.load_dataset('glue', 'cola', split=split)
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 589, in load_dataset
path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 263, in prepare_module
head_hf_s3(path, filename=name, dataset=dataset)
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 200, in head_hf_s3
return http_head(hf_bucket_url(identifier=identifier, filename=filename, use_cdn=use_cdn, dataset=dataset))
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 403, in http_head
url, proxies=proxies, headers=headers, cookies=cookies, allow_redirects=allow_redirects, timeout=timeout
File "/usr/local/lib/python3.6/dist-packages/requests/api.py", line 104, in head
return request('head', url, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/api.py", line 61, in request
return session.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/sessions.py", line 542, in request
resp = self.send(prep, **send_kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/sessions.py", line 655, in send
r = adapter.send(request, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/adapters.py", line 504, in send
raise ConnectTimeout(e, request=request)
requests.exceptions.ConnectTimeout: HTTPSConnectionPool(host='s3.amazonaws.com', port=443): Max retries exceeded with url: /datasets.huggingface.co/datasets/datasets/glue/glue.py (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f47db511e80>, 'Connection to s3.amazonaws.com timed out. (connect timeout=10)'))
``` | {
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} | 2020-12-13T12:43:33Z | https://api.github.com/repos/huggingface/datasets/issues/1540/comments | This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:[email protected]) / @savasy
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765,338,910 | https://api.github.com/repos/huggingface/datasets/issues/1539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1539/events | [] | null | 2020-12-22T10:16:01Z | [] | https://github.com/huggingface/datasets/pull/1539 | CONTRIBUTOR | null | false | null | [] | Added Wiki Asp dataset | {
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} | 2020-12-13T12:18:34Z | https://api.github.com/repos/huggingface/datasets/issues/1539/comments | Hello,
I have added Wiki Asp dataset. Please review the PR. | {
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} | 2020-12-13T06:58:23Z | https://api.github.com/repos/huggingface/datasets/issues/1537/comments | UPDATE2: PR passed all tests. Now waiting for review.
UPDATE: pushed a new version. cross fingers that it should complete all the tests! :)
If it passes all tests then it's not a draft version.
This is a draft version | {
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Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_monoling
Paper: https://arxiv.org/abs/2004.00648 | {
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This is a new clean PR from [#1322](https://github.com/huggingface/datasets/pull/1322) | {
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Thanks in advance. | {
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See https://homes.cs.washington.edu/~msap/atomic/ | {
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In particular, for:
- Entity recognition
- Relation extraction
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* README.md still to be created. | {
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could you tell me how I can get all unique options of a property of dataset?
for instance in case of boolq, if the user wants to know which unique labels it has, is there a way to access unique labels without getting all training data lables and then forming a set i mean? thanks | {
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763,980,369 | https://api.github.com/repos/huggingface/datasets/issues/1510 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1510/events | [] | null | 2020-12-17T16:06:22Z | [] | https://github.com/huggingface/datasets/pull/1510 | CONTRIBUTOR | null | false | null | [] | Add Dataset for (qa_srl)Question-Answer Driven Semantic Role Labeling | {
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- Added code changes | {
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763,908,724 | https://api.github.com/repos/huggingface/datasets/issues/1508 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1508/events | [] | null | 2021-03-11T02:18:39Z | [] | https://github.com/huggingface/datasets/pull/1508 | COLLABORATOR | null | false | null | [] | Fix namedsplit docs | {
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763,857,872 | https://api.github.com/repos/huggingface/datasets/issues/1507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1507/events | [] | null | 2020-12-16T16:49:23Z | [] | https://github.com/huggingface/datasets/pull/1507 | CONTRIBUTOR | null | false | null | [] | Add SelQA Dataset | {
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Repo: https://github.com/emorynlp/selqa/
Paper: https://arxiv.org/pdf/1606.08513.pdf | {
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The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track. | {
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763,658,208 | https://api.github.com/repos/huggingface/datasets/issues/1502 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1502/events | [] | null | 2020-12-28T14:01:12Z | [] | https://github.com/huggingface/datasets/pull/1502 | CONTRIBUTOR | null | false | null | [] | Add Senti_Lex Dataset | {
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Fix feature format issue
Create dataset_info.json file
Run pytests
Make Style | {
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763,464,693 | https://api.github.com/repos/huggingface/datasets/issues/1499 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1499/events | [] | null | 2020-12-14T15:28:07Z | [] | https://github.com/huggingface/datasets/pull/1499 | CONTRIBUTOR | null | false | null | [] | update the dataset id_newspapers_2018 | {
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763,180,824 | https://api.github.com/repos/huggingface/datasets/issues/1497 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1497/events | [] | null | 2020-12-17T20:07:17Z | [] | https://github.com/huggingface/datasets/pull/1497 | CONTRIBUTOR | null | false | null | [] | adding fake-news-english-5 | {
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763,091,663 | https://api.github.com/repos/huggingface/datasets/issues/1496 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1496/events | [] | null | 2020-12-14T21:14:55Z | [] | https://github.com/huggingface/datasets/pull/1496 | MEMBER | null | false | null | [] | Add Multi-Dimensional Gender Bias classification data | {
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Mostly has the ABOUT dimension since the others are inferred from other datasets in most cases.
I tried to keep the dummy data small but one of the configs has 140 splits ( > 56KB data) | {
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link: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DPQMQH | {
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In redoing the dummy data a few times, I ended up adding a load of files to git. Hopefully this should work. | {
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https://github.com/huggingface/transformers/blob/master/src/transformers/trainer_utils.py#L51-L61
While in many datasets metrics they are the ground truth labels:
https://github.com/huggingface/datasets/blob/c3f53792a744ede18d748a1133b6597fdd2d8d18/metrics/accuracy/accuracy.py#L31-L40
Do you think predictions & references should be swapped? I'd be willing to do some refactoring here if you agree. | {
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} | https://api.github.com/repos/huggingface/datasets/issues/1478/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1478/timeline | closed | false | 1,478 | null | 2020-12-19T15:03:39Z | null | false |
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