Datasets:
File size: 14,692 Bytes
df4f4ef 0cc41e6 df4f4ef 0cc41e6 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 | ---
dataset_info:
features:
- name: url
dtype: large_string
- name: repository_url
dtype: large_string
- name: labels_url
dtype: large_string
- name: comments_url
dtype: large_string
- name: events_url
dtype: large_string
- name: html_url
dtype: large_string
- name: id
dtype: int64
- name: node_id
dtype: large_string
- name: number
dtype: int64
- name: title
dtype: large_string
- name: user
struct:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: user_view_type
dtype: string
- name: site_admin
dtype: bool
- name: labels
list:
- name: id
dtype: int64
- name: node_id
dtype: string
- name: url
dtype: string
- name: name
dtype: string
- name: color
dtype: string
- name: default
dtype: bool
- name: description
dtype: string
- name: state
dtype: large_string
- name: locked
dtype: bool
- name: assignees
list:
- name: login
dtype: string
- name: id
dtype: int64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: user_view_type
dtype: string
- name: site_admin
dtype: bool
- name: milestone
dtype: float64
- name: comments
dtype: int64
- name: created_at
dtype: timestamp[us, tz=UTC]
- name: updated_at
dtype: timestamp[us, tz=UTC]
- name: closed_at
dtype: timestamp[us, tz=UTC]
- name: assignee
struct:
- name: login
dtype: string
- name: id
dtype: float64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: user_view_type
dtype: string
- name: site_admin
dtype: bool
- name: author_association
dtype: large_string
- name: issue_field_values
list: 'null'
- name: type
struct:
- name: id
dtype: float64
- name: node_id
dtype: string
- name: name
dtype: string
- name: description
dtype: string
- name: color
dtype: string
- name: created_at
dtype: string
- name: updated_at
dtype: string
- name: is_enabled
dtype: bool
- name: active_lock_reason
dtype: large_string
- name: draft
dtype: float64
- name: pull_request
struct:
- name: url
dtype: string
- name: html_url
dtype: string
- name: diff_url
dtype: string
- name: patch_url
dtype: string
- name: merged_at
dtype: string
- name: body
dtype: large_string
- name: closed_by
struct:
- name: login
dtype: string
- name: id
dtype: float64
- name: node_id
dtype: string
- name: avatar_url
dtype: string
- name: gravatar_id
dtype: string
- name: url
dtype: string
- name: html_url
dtype: string
- name: followers_url
dtype: string
- name: following_url
dtype: string
- name: gists_url
dtype: string
- name: starred_url
dtype: string
- name: subscriptions_url
dtype: string
- name: organizations_url
dtype: string
- name: repos_url
dtype: string
- name: events_url
dtype: string
- name: received_events_url
dtype: string
- name: type
dtype: string
- name: user_view_type
dtype: string
- name: site_admin
dtype: bool
- name: reactions
struct:
- name: url
dtype: string
- name: total_count
dtype: int64
- name: '+1'
dtype: int64
- name: '-1'
dtype: int64
- name: laugh
dtype: int64
- name: hooray
dtype: int64
- name: confused
dtype: int64
- name: heart
dtype: int64
- name: rocket
dtype: int64
- name: eyes
dtype: int64
- name: timeline_url
dtype: large_string
- name: performed_via_github_app
dtype: float64
- name: state_reason
dtype: large_string
- name: sub_issues_summary
struct:
- name: total
dtype: float64
- name: completed
dtype: float64
- name: percent_completed
dtype: float64
- name: issue_dependencies_summary
struct:
- name: blocked_by
dtype: float64
- name: total_blocked_by
dtype: float64
- name: blocking
dtype: float64
- name: total_blocking
dtype: float64
- name: pinned_comment
dtype: float64
- name: parent_issue_url
dtype: large_string
- name: is_pull_request
dtype: bool
- name: comments_text
list: string
splits:
- name: train
num_bytes: 267859196
num_examples: 41618
download_size: 185645233
dataset_size: 267859196
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
task_categories:
- text-classification
- summarization
language:
- en
tags:
- github
- issues
- bug-report
- pull-request
- software-engineering
- transformers
- huggingface
pretty_name: HuggingFace Transformers GitHub Issues
size_categories:
- 10K<n<100K
---
# HuggingFace Transformers GitHub Issues Dataset
## Dataset Description
This dataset contains **all issues and pull requests** (open and closed) from the [`huggingface/transformers`](https://github.com/huggingface/transformers) GitHub repository, along with their comment threads. It was collected on **July 19-20, 2026** via the [GitHub REST API](https://docs.github.com/en/rest/issues/issues) and follows the workflow described in the [Hugging Face NLP course — Creating your own dataset](https://huggingface.co/learn/nlp-course/chapter5/6).
- **Repository:** [huggingface/transformers](https://github.com/huggingface/transformers)
- **Total rows:** 41,618 (issues + pull requests)
- **Date range:** November 3, 2018 → July 19, 2026
- **Format:** Parquet (single shard, `train` split)
## Dataset Structure
### Splits
| Split | Num examples |
|-------|-------------:|
| train | 41,618 |
### Composition
| Type | Count |
|-----------------|-------:|
| Issues | 17,960 |
| Pull requests | 23,658 |
| Open | 1,900 |
| Closed | 39,718 |
| With labels | 9,665 |
| With comments | 37,174 |
| Total comments | 159,388 |
### Key Columns
| Column | Type | Description |
|---------------------|-----------|-----------------------------------------------------------------------------|
| `number` | int64 | GitHub issue/PR number (unique, no duplicates) |
| `title` | string | Issue/PR title |
| `body` | string | Issue/PR body (Markdown; 251 nulls + 688 empty — normal) |
| `state` | string | `open` or `closed` |
| `is_pull_request` | bool | `True` if this row is a PR, `False` if it's an issue |
| `labels` | list | List of label objects (`name`, `color`, `id`, ...) — 9,665 rows have labels |
| `comments` | int64 | Number of comments on the issue |
| `comments_text` | list[str] | The body text of each comment (fetched separately via the comments API) |
| `user` | struct | The author (login, id, avatar_url, type, ...) |
| `created_at` | timestamp | When the issue/PR was created |
| `updated_at` | timestamp | When it was last updated |
| `closed_at` | timestamp | When it was closed (null for 1,900 open issues) |
| `reactions` | struct | Reaction counts (+1, -1, laugh, heart, rocket, eyes, ...) |
| `pull_request` | struct | PR metadata (url, diff_url, patch_url, merged_at) — null for issues |
| `assignees` | list | Assigned users |
| `milestone` | float64 | Milestone (100% null for this repo) |
### Top Labels
| Label | Count |
|--------------------|------:|
| wontfix | 2,633 |
| bug | 2,495 |
| Feature request | 786 |
| New model | 683 |
| model card | 654 |
| WIP | 380 |
| Vision | 268 |
| run-slow | 198 |
| Code agent slop | 189 |
| dependencies | 188 |
| Good First Issue | 183 |
| Core: Tokenization | 170 |
| Audio | 166 |
| trainer | 146 |
| Good Second Issue | 129 |
## Collection Methodology
The dataset was collected using a custom Python script ([`prepare_dataset.py`](https://github.com/)) that:
1. **Fetched all issues + PRs** using the GitHub REST API with `since`-based pagination (sorted by `updated_at` ascending) to bypass GitHub's 10,000-record page-number cap. Issues were written incrementally to a JSONL file for crash recovery.
2. **Added an `is_pull_request` flag** based on whether the `pull_request` field is present.
3. **Pushed the issues-only dataset to the Hub** (as a safety checkpoint before the long comment fetch).
4. **Fetched comment bodies** for every issue with `comments > 0` (4,441 zero-comment issues were skipped as an optimization). Comments were fetched with `per_page=100` to minimize pagination requests.
5. **Pushed the final dataset** (issues + comments) to the Hub.
GitHub's authenticated rate limit (5,000 requests/hour) was respected throughout — the script sleeps until the rate-limit window resets when the budget is exhausted, with a one-hour fallback sleep if the reset header is missing.
## Known Limitations
- **5,799 missing issue numbers** in the range 1–47,417: these correspond to deleted issues/PRs on GitHub that cannot be retrieved via the API. This is expected and unavoidable.
- **65 minor mismatches** between the `comments` count field and the length of `comments_text`: these occur when comments were added or deleted between the issue fetch and the comment fetch. The `comments` field reflects the count at fetch time; `comments_text` reflects the actual comments retrieved.
- **`milestone`, `performed_via_github_app`, `pinned_comment`** are 100% null — these fields are not used on this repository.
- **`body` has 251 nulls and 688 empty strings** — some issues/PRs simply have no body text.
- The dataset includes **both issues and pull requests** (GitHub's issues endpoint returns both). Use the `is_pull_request` column to filter.
## Potential Use Cases
- **Issue classification:** Train a model to categorize issues (bug, feature request, question) based on title + body.
- **Bug triage:** Predict which label an issue should have, or whether it's likely to be closed.
- **Duplicate detection:** Find semantically similar issues using embeddings of title + body.
- **Pull request summarization:** Summarize long PR bodies or comment threads.
- **Software engineering research:** Analyze issue lifecycle, response times, contributor activity, label distributions, etc.
- **LLM fine-tuning:** Build instruction-tuning datasets for "classify this issue" or "summarize this thread" tasks.
## Licensing
The dataset is derived from public GitHub issue data from the [`huggingface/transformers`](https://github.com/huggingface/transformers) repository, which is licensed under [Apache 2.0](https://github.com/huggingface/transformers/blob/main/LICENSE). The dataset is provided under the same license.
## Citation
If you use this dataset, please cite:
```bibtex
@misc{transformers-issues-dataset,
author = {Noamaan Mulla},
title = {HuggingFace Transformers GitHub Issues Dataset},
year = {2026},
url = {https://huggingface.co/datasets/noamaanMulla-03/transformers-issues},
note = {Collected via the GitHub REST API on July 19-20, 2026}
}
```
Also cite the original repository:
```bibtex
@misc{wolf2019huggingface,
author = {Thomas Wolf and Lysandre Debut and Victor Sanh and Julien Chaumond and Clement Delangue and Anthony Moi and Pierric Cistac and Tim Rault and Rémi Louf and Morgan Funtowicz and Joe Davison and Sam Shleifer and Patrick von Platen and Clara Ma and Yacine Jernite and Julien Plu and Canwen Xu and Teven Le Scao and Sylvain Gugger and Mariama Drame and Quentin Lhoest and Alexander M. Rush},
title = {HuggingFace's Transformers: State-of-the-art Natural Language Processing},
year = {2019},
publisher = {GitHub},
howpublished = {\url{https://github.com/huggingface/transformers}}
}
```
|