Datasets:
File size: 1,904 Bytes
98aa402 14daf88 e649295 14daf88 9b1dcfd 14daf88 8545524 14daf88 1ccaae4 14daf88 8545524 14daf88 9b1dcfd 14daf88 9b1dcfd 14daf88 9b1dcfd 14daf88 9b1dcfd 14daf88 9b1dcfd 14daf88 9b1dcfd e649295 14daf88 98aa402 14daf88 9b1dcfd 14daf88 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
---
license: apache-2.0
language:
- en
pretty_name: HackerNews comments dataset
dataset_info:
config_name: default
features:
- name: id
dtype: int64
- name: deleted
dtype: bool
- name: type
dtype: string
- name: by
dtype: string
- name: time
dtype: int64
- name: text
dtype: string
- name: dead
dtype: bool
- name: parent
dtype: int64
- name: poll
dtype: int64
- name: kids
sequence: int64
- name: url
dtype: string
- name: score
dtype: int64
- name: title
dtype: string
- name: parts
sequence: int64
- name: descendants
sequence: int64
configs:
- config_name: default
data_files:
- split: train
path: items/*.jsonl.zst
---
# Hackernews Comments Dataset
A dataset of all [HN API](https://github.com/HackerNews/API) items from `id=0` till `id=41723169` (so from 2006 till 02 Oct 2024). The dataset is build by scraping the HN API according to its official [schema and docs](https://github.com/HackerNews/API). Scraper code is also available on github: [nixiesearch/hnscrape](https://github.com/nixiesearch/hnscrape)
## Dataset contents
No cleaning, validation or filtering was performed. The resulting data files are raw JSON API response dumps in zstd-compressed JSONL files. An example payload:
```json
{
"by": "goldfish",
"descendants": 0,
"id": 46,
"score": 4,
"time": 1160581168,
"title": "Rentometer: Check How Your Rent Compares to Others in Your Area",
"type": "story",
"url": "http://www.rentometer.com/"
}
```
## Usage
You can directly load this dataset with a [Huggingface Datasets](https://github.com/huggingface/datasets/) library.
```python
from datasets import load_dataset
ds = load_dataset("nixiesearch/hackernews-comments")
print(ds.features)
```
## License
Apache License 2.0. |