File size: 3,299 Bytes
393de6c 7367a0e 393de6c 7367a0e |
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 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 |
---
license: apache-2.0
language:
- en
pretty_name: HackerNews stories dataset
dataset_info:
config_name: default
features:
- name: id
dtype: int64
- name: url
dtype: string
- name: title
dtype: string
- name: author
dtype: string
- name: markdown
dtype: string
- name: downloaded
dtype: bool
- name: meta_extracted
dtype: bool
- name: parsed
dtype: bool
- name: description
dtype: string
- name: filedate
dtype: string
- name: date
dtype: string
- name: image
dtype: string
- name: pagetype
dtype: string
- name: hostname
dtype: string
- name: sitename
dtype: string
- name: tags
dtype: string
- name: categories
dtype: string
configs:
- config_name: default
data_files:
- split: train
path: data/*.jsonl.zst
---
# A HackerNews Stories dataset
This dataset is based on [nixiesearch/hackernews-comments](https://huggingface.co/datasets/nixiesearch/hackernews-comments) dataset:
* for each item of `type=story` we downloaded the target URL. Out of ~3.8M stories ~2.1M are still reachable.
* each story HTML was parsed using [trafilatura](https://trafilatura.readthedocs.io) library
* we store article text in `markdown` format along with all page-specific metadata.
## Dataset stats
* date coverage: xx.2006-09.2024, same as in upstream [nixiesearch/hackernews-comments](https://huggingface.co/datasets/nixiesearch/hackernews-comments) dataset
* total scraped pages: 2150271 (around 55% of the original dataset)
* unpacked size: ~20GB of text.
## Usage
The dataset is available as a set of JSONL-formatted files with ZSTD compression:
```json
{
"id": 8961943,
"url": "https://www.eff.org/deeplinks/2015/01/internet-sen-ron-wyden-were-counting-you-oppose-fast-track-tpp",
"title": "Digital Rights Groups to Senator Ron Wyden: We're Counting on You to Oppose Fast Track for the TPP",
"author": "Maira Sutton",
"markdown": "Seven leading US digital rights and access to knowledge groups, ...",
"downloaded": true,
"meta_extracted": true,
"parsed": true,
"description": "Seven leading US digital rights and access to knowledge groups, and over 7,550 users, have called on Sen. Wyden today to oppose any new version of Fast Track (aka trade promotion authority) that does not fix the secretive, corporate-dominated process of trade negotiations. In particular, we urge...",
"filedate": "2024-10-13",
"date": "2015-01-27",
"image": "https://www.eff.org/files/issues/fair-use-og-1.png",
"pagetype": "article",
"hostname": "eff.org",
"sitename": "Electronic Frontier Foundation",
"categories": null,
"tags": null
}
```
The `id` field matches the `id` field from the upstream [nixiesearch/hackernews-comments](https://huggingface.co/datasets/nixiesearch/hackernews-comments) dataset.
You can also use this dataset using Huggingface datasets library:
```shell
pip install datasets zstandard
```
and then:
```python
from datasets import load_dataset
stories = load_dataset("nixiesearch/hackernews-stories", split="train")
print(stories[0])
```
## License
Apache License 2.0 |