Datasets:
Tasks:
Text Generation
Size:
10K - 100K
| dataset_info: | |
| features: | |
| - name: id | |
| dtype: uint32 | |
| - name: language | |
| dtype: string | |
| - name: url | |
| dtype: string | |
| - name: title | |
| dtype: string | |
| - name: text_markdown | |
| dtype: string | |
| - name: text_html | |
| dtype: string | |
| - name: author | |
| dtype: string | |
| - name: original_author | |
| dtype: string | |
| - name: original_url | |
| dtype: string | |
| - name: lead_html | |
| dtype: string | |
| - name: lead_markdown | |
| dtype: string | |
| - name: type | |
| dtype: string | |
| - name: time_published | |
| dtype: uint64 | |
| - name: statistics | |
| struct: | |
| - name: commentsCount | |
| dtype: uint32 | |
| - name: favoritesCount | |
| dtype: uint32 | |
| - name: readingCount | |
| dtype: uint32 | |
| - name: score | |
| dtype: int32 | |
| - name: votesCount | |
| dtype: int32 | |
| - name: votesCountPlus | |
| dtype: int32 | |
| - name: votesCountMinus | |
| dtype: int32 | |
| - name: labels | |
| sequence: string | |
| - name: hubs | |
| sequence: string | |
| - name: flows | |
| sequence: string | |
| - name: tags | |
| sequence: string | |
| - name: reading_time | |
| dtype: uint32 | |
| - name: format | |
| dtype: string | |
| - name: complexity | |
| dtype: string | |
| - name: comments | |
| sequence: | |
| - name: id | |
| dtype: uint64 | |
| - name: parent_id | |
| dtype: uint64 | |
| - name: level | |
| dtype: uint32 | |
| - name: time_published | |
| dtype: uint64 | |
| - name: score | |
| dtype: int32 | |
| - name: votes | |
| dtype: uint32 | |
| - name: message_html | |
| dtype: string | |
| - name: message_markdown | |
| dtype: string | |
| - name: author | |
| dtype: string | |
| - name: children | |
| sequence: uint64 | |
| splits: | |
| - name: train | |
| num_bytes: 19968161329 | |
| num_examples: 302049 | |
| download_size: 3485570346 | |
| dataset_size: 19968161329 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - ru | |
| - en | |
| size_categories: | |
| - 100K<n<1M | |
| # Habr dataset | |
| ## Table of Contents | |
| - [Table of Contents](#table-of-contents) | |
| - [Description](#description) | |
| - [Usage](#usage) | |
| - [Data Instances](#data-instances) | |
| - [Source Data](#source-data) | |
| - [Personal and Sensitive Information](#personal-and-sensitive-information) | |
| ## Description | |
| **Summary:** Dataset of posts and comments from [habr.com](https://habr.com/ru/all/). | |
| **Script:** [save_habr.py](https://github.com/IlyaGusev/rulm/blob/master/data_processing/save_habr.py) | |
| **Point of Contact:** [Ilya Gusev](ilya.gusev@phystech.edu) | |
| **Languages:** Russian, English, some programming code. | |
| ## Usage | |
| Prerequisites: | |
| ```bash | |
| pip install datasets zstandard jsonlines pysimdjson | |
| ``` | |
| Dataset iteration: | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset('IlyaGusev/habr', split="train", streaming=True) | |
| for example in dataset: | |
| print(example["text_markdown"]) | |
| ``` | |
| ## Data Instances | |
| ``` | |
| { | |
| "id": 12730, | |
| "language": "ru", | |
| "url": "https://habr.com/ru/post/12730/", | |
| "text_markdown": "...", | |
| "text_html": "...", | |
| "lead_markdown": "...", | |
| "lead_html": "...", | |
| "type": "article", | |
| "labels": [], | |
| "original_author": null, | |
| "original_url": null, | |
| "time_published": 1185962380, | |
| "author": "...", | |
| "title": "Хочешь в университет — сделай презентацию", | |
| "statistics": { | |
| "commentsCount": 23, | |
| "favoritesCount": 1, | |
| "readingCount": 1542, | |
| "score": 7, | |
| "votesCount": 15, | |
| "votesCountPlus": 11, | |
| "votesCountMinus": 4 | |
| }, | |
| "hubs": [ | |
| "itcompanies" | |
| ], | |
| "flows": [ | |
| "popsci" | |
| ], | |
| "tags": [ | |
| "PowerPoint", | |
| "презентация", | |
| "абитуриенты", | |
| ], | |
| "reading_time": 1, | |
| "format": null, | |
| "complexity": null, | |
| "comments": [ | |
| { | |
| "id": 11653537, | |
| "parent_id": null, | |
| "level": 0, | |
| "time_published": 1185963192, | |
| "score": -1, | |
| "votes": 1, | |
| "message_html": "...", | |
| "author": "...", | |
| "children": [ | |
| 11653541 | |
| ] | |
| }, | |
| { | |
| "id": 11653541, | |
| "parent_id": 11653537, | |
| "level": 1, | |
| "time_published": 1185967886, | |
| "score": 0, | |
| "votes": 0, | |
| "message_html": "...", | |
| "message_markdown": "...", | |
| "author": "..." | |
| } | |
| ] | |
| } | |
| ``` | |
| ## Source Data | |
| * The data source is the [Habr](https://habr.com/) website. | |
| * API call example: [post 709430](https://habr.com/kek/v2/articles/709430). | |
| * Processing script is [here](https://github.com/IlyaGusev/rulm/blob/master/data_processing/save_habr.py). | |
| ## Personal and Sensitive Information | |
| The dataset is not anonymized, so individuals' names can be found in the dataset. Information about the original authors is included in the dataset where possible. | |