Hugging Face's logo

Datasets:
devopsmarc
/
my-issues-dataset

Tasks:
Sentence Similarity
Modalities:
Text
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Languages:
English
Size:
1K - 10K
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
devopsmarc commited on
Commit
448c5dd
•
1 Parent(s): c3306ef

Delete Github_Issues_Dataset.ipynb

Browse files
Files changed (1) hide show
  1. Github_Issues_Dataset.ipynb +0 -750
Github_Issues_Dataset.ipynb DELETED
@@ -1,750 +0,0 @@
1
- {
2
- "cells": [
3
- {
4
- "cell_type": "code",
5
- "execution_count": 1,
6
- "id": "26c2c9a4",
7
- "metadata": {
8
- "scrolled": true
9
- },
10
- "outputs": [
11
- {
12
- "name": "stdout",
13
- "output_type": "stream",
14
- "text": [
15
- "Requirement already satisfied: requests in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (2.29.0)\n",
16
- "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests) (2.0.4)\n",
17
- "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests) (3.4)\n",
18
- "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests) (1.26.16)\n",
19
- "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests) (2023.5.7)\n"
20
- ]
21
- }
22
- ],
23
- "source": [
24
- "!pip install requests"
25
- ]
26
- },
27
- {
28
- "cell_type": "code",
29
- "execution_count": 2,
30
- "id": "29c220c8",
31
- "metadata": {},
32
- "outputs": [],
33
- "source": [
34
- "import requests\n",
35
- "\n",
36
- "url = \"https://api.github.com/repos/huggingface/datasets/issues?page=1&per_page=1\"\n",
37
- "response = requests.get(url)\n"
38
- ]
39
- },
40
- {
41
- "cell_type": "code",
42
- "execution_count": 3,
43
- "id": "915c0703",
44
- "metadata": {},
45
- "outputs": [
46
- {
47
- "data": {
48
- "text/plain": [
49
- "200"
50
- ]
51
- },
52
- "execution_count": 3,
53
- "metadata": {},
54
- "output_type": "execute_result"
55
- }
56
- ],
57
- "source": [
58
- "response.status_code"
59
- ]
60
- },
61
- {
62
- "cell_type": "code",
63
- "execution_count": 4,
64
- "id": "b8440767",
65
- "metadata": {},
66
- "outputs": [
67
- {
68
- "data": {
69
- "text/plain": [
70
- "[{'url': 'https://api.github.com/repos/huggingface/datasets/issues/6151',\n",
71
- " 'repository_url': 'https://api.github.com/repos/huggingface/datasets',\n",
72
- " 'labels_url': 'https://api.github.com/repos/huggingface/datasets/issues/6151/labels{/name}',\n",
73
- " 'comments_url': 'https://api.github.com/repos/huggingface/datasets/issues/6151/comments',\n",
74
- " 'events_url': 'https://api.github.com/repos/huggingface/datasets/issues/6151/events',\n",
75
- " 'html_url': 'https://github.com/huggingface/datasets/issues/6151',\n",
76
- " 'id': 1851497818,\n",
77
- " 'node_id': 'I_kwDODunzps5uW51a',\n",
78
- " 'number': 6151,\n",
79
- " 'title': 'Faster sorting for single key items',\n",
80
- " 'user': {'login': 'jackapbutler',\n",
81
- " 'id': 47942453,\n",
82
- " 'node_id': 'MDQ6VXNlcjQ3OTQyNDUz',\n",
83
- " 'avatar_url': 'https://avatars.githubusercontent.com/u/47942453?v=4',\n",
84
- " 'gravatar_id': '',\n",
85
- " 'url': 'https://api.github.com/users/jackapbutler',\n",
86
- " 'html_url': 'https://github.com/jackapbutler',\n",
87
- " 'followers_url': 'https://api.github.com/users/jackapbutler/followers',\n",
88
- " 'following_url': 'https://api.github.com/users/jackapbutler/following{/other_user}',\n",
89
- " 'gists_url': 'https://api.github.com/users/jackapbutler/gists{/gist_id}',\n",
90
- " 'starred_url': 'https://api.github.com/users/jackapbutler/starred{/owner}{/repo}',\n",
91
- " 'subscriptions_url': 'https://api.github.com/users/jackapbutler/subscriptions',\n",
92
- " 'organizations_url': 'https://api.github.com/users/jackapbutler/orgs',\n",
93
- " 'repos_url': 'https://api.github.com/users/jackapbutler/repos',\n",
94
- " 'events_url': 'https://api.github.com/users/jackapbutler/events{/privacy}',\n",
95
- " 'received_events_url': 'https://api.github.com/users/jackapbutler/received_events',\n",
96
- " 'type': 'User',\n",
97
- " 'site_admin': False},\n",
98
- " 'labels': [{'id': 1935892871,\n",
99
- " 'node_id': 'MDU6TGFiZWwxOTM1ODkyODcx',\n",
100
- " 'url': 'https://api.github.com/repos/huggingface/datasets/labels/enhancement',\n",
101
- " 'name': 'enhancement',\n",
102
- " 'color': 'a2eeef',\n",
103
- " 'default': True,\n",
104
- " 'description': 'New feature or request'}],\n",
105
- " 'state': 'open',\n",
106
- " 'locked': False,\n",
107
- " 'assignee': None,\n",
108
- " 'assignees': [],\n",
109
- " 'milestone': None,\n",
110
- " 'comments': 0,\n",
111
- " 'created_at': '2023-08-15T14:02:31Z',\n",
112
- " 'updated_at': '2023-08-15T14:17:09Z',\n",
113
- " 'closed_at': None,\n",
114
- " 'author_association': 'NONE',\n",
115
- " 'active_lock_reason': None,\n",
116
- " 'body': '### Feature request\\r\\n\\r\\nA faster way to sort a dataset which contains a large number of rows.\\r\\n\\r\\n### Motivation\\r\\n\\r\\nThe current sorting implementations took significantly longer than expected when I was running on a dataset trying to sort by timestamps. \\r\\n\\r\\n**Code snippet:**\\r\\n```python\\r\\nds = datasets.load_dataset( \"json\", **{\"data_files\": {\"train\": \"path-to-jsonlines\"}, \"split\": \"train\"}, num_proc=os.cpu_count(), keep_in_memory=True) \\r\\nsorted_ds = ds.sort(\"pubDate\", keep_in_memory=True)\\r\\n```\\r\\n\\r\\nHowever, once I switched to a different method which\\r\\n1. unpacked to a list of tuples\\r\\n2. sorted tuples by key\\r\\n3. run `.select` with the sorted list of indices\\r\\nIt was significantly faster (orders of magnitude, especially with M\\'s of rows)\\r\\n\\r\\n### Your contribution\\r\\n\\r\\nI\\'d be happy to implement a crude single key sorting algorithm so that other users can benefit from this trick. Broadly, this would take a `Dataset` and perform;\\r\\n\\r\\n```python\\r\\n# ds is a Dataset object\\r\\n# key_name is the sorting key\\r\\n\\r\\nclass Dataset:\\r\\n ...\\r\\n def _sort(key_name: str) -> Dataset:\\r\\n index_keys = [(i,x) for i,x in enumerate(self[key_name])]\\r\\n sorted_rows = sorted(row_pubdate, key=lambda x: x[1])\\r\\n sorted_indicies = [x[0] for x in sorted_rows]\\r\\n return self.select(sorted_indicies)\\r\\n```',\n",
117
- " 'reactions': {'url': 'https://api.github.com/repos/huggingface/datasets/issues/6151/reactions',\n",
118
- " 'total_count': 0,\n",
119
- " '+1': 0,\n",
120
- " '-1': 0,\n",
121
- " 'laugh': 0,\n",
122
- " 'hooray': 0,\n",
123
- " 'confused': 0,\n",
124
- " 'heart': 0,\n",
125
- " 'rocket': 0,\n",
126
- " 'eyes': 0},\n",
127
- " 'timeline_url': 'https://api.github.com/repos/huggingface/datasets/issues/6151/timeline',\n",
128
- " 'performed_via_github_app': None,\n",
129
- " 'state_reason': None}]"
130
- ]
131
- },
132
- "execution_count": 4,
133
- "metadata": {},
134
- "output_type": "execute_result"
135
- }
136
- ],
137
- "source": [
138
- "response.json()"
139
- ]
140
- },
141
- {
142
- "cell_type": "code",
143
- "execution_count": 5,
144
- "id": "96ab6dc2",
145
- "metadata": {},
146
- "outputs": [],
147
- "source": [
148
- "GITHUB_TOKEN = \"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\"\n",
149
- "headers = {\"Authorization\": f\"token {GITHUB_TOKEN}\"}"
150
- ]
151
- },
152
- {
153
- "cell_type": "code",
154
- "execution_count": 6,
155
- "id": "c5cd6f0f",
156
- "metadata": {},
157
- "outputs": [],
158
- "source": [
159
- "import time\n",
160
- "import math\n",
161
- "from pathlib import Path\n",
162
- "import pandas as pd\n",
163
- "from tqdm.notebook import tqdm\n",
164
- "\n",
165
- "\n",
166
- "def fetch_issues(\n",
167
- " owner=\"huggingface\",\n",
168
- " repo=\"datasets\",\n",
169
- " num_issues=10_000,\n",
170
- " rate_limit=5_000,\n",
171
- " issues_path=Path(\".\"),\n",
172
- "):\n",
173
- " if not issues_path.is_dir():\n",
174
- " issues_path.mkdir(exist_ok=True)\n",
175
- "\n",
176
- " batch = []\n",
177
- " all_issues = []\n",
178
- " per_page = 100 # Number of issues to return per page\n",
179
- " num_pages = math.ceil(num_issues / per_page)\n",
180
- " base_url = \"https://api.github.com/repos\"\n",
181
- "\n",
182
- " for page in tqdm(range(num_pages)):\n",
183
- " # Query with state=all to get both open and closed issues\n",
184
- " query = f\"issues?page={page}&per_page={per_page}&state=all\"\n",
185
- " issues = requests.get(f\"{base_url}/{owner}/{repo}/{query}\", headers=headers)\n",
186
- " batch.extend(issues.json())\n",
187
- "\n",
188
- " if len(batch) > rate_limit and len(all_issues) < num_issues:\n",
189
- " all_issues.extend(batch)\n",
190
- " batch = [] # Flush batch for next time period\n",
191
- " print(f\"Reached GitHub rate limit. Sleeping for one hour ...\")\n",
192
- " time.sleep(60 * 60 + 1)\n",
193
- "\n",
194
- " all_issues.extend(batch)\n",
195
- " df = pd.DataFrame.from_records(all_issues)\n",
196
- " df.to_json(f\"{issues_path}/{repo}-issues.jsonl\", orient=\"records\", lines=True)\n",
197
- " print(\n",
198
- " f\"Downloaded all the issues for {repo}! Dataset stored at {issues_path}/{repo}-issues.jsonl\"\n",
199
- " )"
200
- ]
201
- },
202
- {
203
- "cell_type": "code",
204
- "execution_count": 7,
205
- "id": "3cb793df",
206
- "metadata": {},
207
- "outputs": [
208
- {
209
- "data": {
210
- "application/vnd.jupyter.widget-view+json": {
211
- "model_id": "12f444a712834ac1bea766e6175344ac",
212
- "version_major": 2,
213
- "version_minor": 0
214
- },
215
- "text/plain": [
216
- " 0%| | 0/100 [00:00<?, ?it/s]"
217
- ]
218
- },
219
- "metadata": {},
220
- "output_type": "display_data"
221
- },
222
- {
223
- "name": "stdout",
224
- "output_type": "stream",
225
- "text": [
226
- "Reached GitHub rate limit. Sleeping for one hour ...\n",
227
- "Downloaded all the issues for datasets! Dataset stored at ./datasets-issues.jsonl\n"
228
- ]
229
- }
230
- ],
231
- "source": [
232
- "fetch_issues()"
233
- ]
234
- },
235
- {
236
- "cell_type": "code",
237
- "execution_count": 8,
238
- "id": "50e56012",
239
- "metadata": {},
240
- "outputs": [
241
- {
242
- "name": "stdout",
243
- "output_type": "stream",
244
- "text": [
245
- "Requirement already satisfied: pandas in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (1.5.3)\n",
246
- "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from pandas) (2.8.2)\n",
247
- "Requirement already satisfied: pytz>=2020.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from pandas) (2022.7)\n",
248
- "Requirement already satisfied: numpy>=1.21.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from pandas) (1.24.3)\n",
249
- "Requirement already satisfied: six>=1.5 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas) (1.16.0)\n"
250
- ]
251
- }
252
- ],
253
- "source": [
254
- "!pip install pandas\n"
255
- ]
256
- },
257
- {
258
- "cell_type": "code",
259
- "execution_count": 9,
260
- "id": "ab9674e9",
261
- "metadata": {},
262
- "outputs": [
263
- {
264
- "name": "stdout",
265
- "output_type": "stream",
266
- "text": [
267
- "The file is located at: C:\\Users\\060971CA8\\a_HF_Spaces\\datasets-issues.jsonl\n"
268
- ]
269
- }
270
- ],
271
- "source": [
272
- "import os\n",
273
- "\n",
274
- "# Get the current working directory\n",
275
- "current_dir = os.getcwd()\n",
276
- "\n",
277
- "# Construct the absolute path to the file\n",
278
- "file_path = os.path.join(current_dir, \"datasets-issues.jsonl\")\n",
279
- "\n",
280
- "print(f\"The file is located at: {file_path}\")\n"
281
- ]
282
- },
283
- {
284
- "cell_type": "code",
285
- "execution_count": 10,
286
- "id": "9f13ee06",
287
- "metadata": {},
288
- "outputs": [
289
- {
290
- "name": "stdout",
291
- "output_type": "stream",
292
- "text": [
293
- "Requirement already satisfied: datasets in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (2.13.1)\n",
294
- "Requirement already satisfied: numpy>=1.17 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (1.24.3)\n",
295
- "Requirement already satisfied: pyarrow>=8.0.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (11.0.0)\n",
296
- "Requirement already satisfied: dill<0.3.7,>=0.3.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (0.3.6)\n",
297
- "Requirement already satisfied: pandas in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (1.5.3)\n",
298
- "Requirement already satisfied: requests>=2.19.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (2.29.0)\n",
299
- "Requirement already satisfied: tqdm>=4.62.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (4.65.0)\n",
300
- "Requirement already satisfied: xxhash in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (3.2.0)\n",
301
- "Requirement already satisfied: multiprocess in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (0.70.14)\n",
302
- "Requirement already satisfied: fsspec[http]>=2021.11.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (2023.3.0)\n",
303
- "Requirement already satisfied: aiohttp in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (3.8.3)\n",
304
- "Requirement already satisfied: huggingface-hub<1.0.0,>=0.11.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (0.16.4)\n",
305
- "Requirement already satisfied: packaging in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (23.0)\n",
306
- "Requirement already satisfied: pyyaml>=5.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (6.0)\n",
307
- "Requirement already satisfied: attrs>=17.3.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (22.1.0)\n",
308
- "Requirement already satisfied: charset-normalizer<3.0,>=2.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (2.0.4)\n",
309
- "Requirement already satisfied: multidict<7.0,>=4.5 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (6.0.2)\n",
310
- "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (4.0.2)\n",
311
- "Requirement already satisfied: yarl<2.0,>=1.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (1.8.1)\n",
312
- "Requirement already satisfied: frozenlist>=1.1.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (1.3.3)\n",
313
- "Requirement already satisfied: aiosignal>=1.1.2 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (1.2.0)\n",
314
- "Requirement already satisfied: filelock in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from huggingface-hub<1.0.0,>=0.11.0->datasets) (3.9.0)\n",
315
- "Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from huggingface-hub<1.0.0,>=0.11.0->datasets) (4.7.1)\n",
316
- "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests>=2.19.0->datasets) (3.4)\n",
317
- "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests>=2.19.0->datasets) (1.26.16)\n",
318
- "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests>=2.19.0->datasets) (2023.5.7)\n",
319
- "Requirement already satisfied: colorama in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from tqdm>=4.62.1->datasets) (0.4.6)\n",
320
- "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from pandas->datasets) (2.8.2)\n",
321
- "Requirement already satisfied: pytz>=2020.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from pandas->datasets) (2022.7)\n",
322
- "Requirement already satisfied: six>=1.5 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n",
323
- "Note: you may need to restart the kernel to use updated packages.\n"
324
- ]
325
- }
326
- ],
327
- "source": [
328
- "pip install datasets\n"
329
- ]
330
- },
331
- {
332
- "cell_type": "code",
333
- "execution_count": 11,
334
- "id": "141a71d1",
335
- "metadata": {},
336
- "outputs": [
337
- {
338
- "name": "stdout",
339
- "output_type": "stream",
340
- "text": [
341
- "Requirement already satisfied: datasets in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (2.13.1)\n",
342
- "Collecting datasets\n",
343
- " Downloading datasets-2.14.4-py3-none-any.whl (519 kB)\n",
344
- " 0.0/519.3 kB ? eta -:--:--\n",
345
- " -------- 112.6/519.3 kB 3.3 MB/s eta 0:00:01\n",
346
- " -------------------------------------- 519.3/519.3 kB 6.5 MB/s eta 0:00:00\n",
347
- "Requirement already satisfied: numpy>=1.17 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (1.24.3)\n",
348
- "Requirement already satisfied: pyarrow>=8.0.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (11.0.0)\n",
349
- "Requirement already satisfied: dill<0.3.8,>=0.3.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (0.3.6)\n",
350
- "Requirement already satisfied: pandas in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (1.5.3)\n",
351
- "Requirement already satisfied: requests>=2.19.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (2.29.0)\n",
352
- "Requirement already satisfied: tqdm>=4.62.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (4.65.0)\n",
353
- "Requirement already satisfied: xxhash in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (3.2.0)\n",
354
- "Requirement already satisfied: multiprocess in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (0.70.14)\n",
355
- "Requirement already satisfied: fsspec[http]>=2021.11.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (2023.3.0)\n",
356
- "Requirement already satisfied: aiohttp in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (3.8.3)\n",
357
- "Requirement already satisfied: huggingface-hub<1.0.0,>=0.14.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (0.16.4)\n",
358
- "Requirement already satisfied: packaging in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (23.0)\n",
359
- "Requirement already satisfied: pyyaml>=5.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from datasets) (6.0)\n",
360
- "Requirement already satisfied: attrs>=17.3.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (22.1.0)\n",
361
- "Requirement already satisfied: charset-normalizer<3.0,>=2.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (2.0.4)\n",
362
- "Requirement already satisfied: multidict<7.0,>=4.5 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (6.0.2)\n",
363
- "Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (4.0.2)\n",
364
- "Requirement already satisfied: yarl<2.0,>=1.0 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (1.8.1)\n",
365
- "Requirement already satisfied: frozenlist>=1.1.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (1.3.3)\n",
366
- "Requirement already satisfied: aiosignal>=1.1.2 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from aiohttp->datasets) (1.2.0)\n",
367
- "Requirement already satisfied: filelock in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from huggingface-hub<1.0.0,>=0.14.0->datasets) (3.9.0)\n",
368
- "Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from huggingface-hub<1.0.0,>=0.14.0->datasets) (4.7.1)\n",
369
- "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests>=2.19.0->datasets) (3.4)\n",
370
- "Requirement already satisfied: urllib3<1.27,>=1.21.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests>=2.19.0->datasets) (1.26.16)\n",
371
- "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from requests>=2.19.0->datasets) (2023.5.7)\n",
372
- "Requirement already satisfied: colorama in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from tqdm>=4.62.1->datasets) (0.4.6)\n",
373
- "Requirement already satisfied: python-dateutil>=2.8.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from pandas->datasets) (2.8.2)\n",
374
- "Requirement already satisfied: pytz>=2020.1 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from pandas->datasets) (2022.7)\n",
375
- "Requirement already satisfied: six>=1.5 in c:\\users\\060971ca8\\appdata\\local\\anaconda3\\lib\\site-packages (from python-dateutil>=2.8.1->pandas->datasets) (1.16.0)\n",
376
- "Installing collected packages: datasets\n",
377
- " Attempting uninstall: datasets\n",
378
- " Found existing installation: datasets 2.13.1\n",
379
- " Uninstalling datasets-2.13.1:\n",
380
- " Successfully uninstalled datasets-2.13.1\n",
381
- "Successfully installed datasets-2.14.4\n",
382
- "Note: you may need to restart the kernel to use updated packages.\n"
383
- ]
384
- }
385
- ],
386
- "source": [
387
- "pip install datasets --upgrade"
388
- ]
389
- },
390
- {
391
- "cell_type": "code",
392
- "execution_count": 12,
393
- "id": "319bdad1",
394
- "metadata": {},
395
- "outputs": [],
396
- "source": [
397
- "from datasets import load_dataset\n",
398
- "from datasets import Dataset\n"
399
- ]
400
- },
401
- {
402
- "cell_type": "code",
403
- "execution_count": 15,
404
- "id": "eb77eadb",
405
- "metadata": {},
406
- "outputs": [
407
- {
408
- "data": {
409
- "application/vnd.jupyter.widget-view+json": {
410
- "model_id": "fca0976311064de6bea95943252def8c",
411
- "version_major": 2,
412
- "version_minor": 0
413
- },
414
- "text/plain": [
415
- "Downloading data files: 0%| | 0/1 [00:00<?, ?it/s]"
416
- ]
417
- },
418
- "metadata": {},
419
- "output_type": "display_data"
420
- },
421
- {
422
- "data": {
423
- "application/vnd.jupyter.widget-view+json": {
424
- "model_id": "56ebb5c3c00a492581e2f919037e6f34",
425
- "version_major": 2,
426
- "version_minor": 0
427
- },
428
- "text/plain": [
429
- "Extracting data files: 0%| | 0/1 [00:00<?, ?it/s]"
430
- ]
431
- },
432
- "metadata": {},
433
- "output_type": "display_data"
434
- },
435
- {
436
- "data": {
437
- "application/vnd.jupyter.widget-view+json": {
438
- "model_id": "783c057424a2491692779373d2dd2b03",
439
- "version_major": 2,
440
- "version_minor": 0
441
- },
442
- "text/plain": [
443
- "Generating train split: 0 examples [00:00, ? examples/s]"
444
- ]
445
- },
446
- "metadata": {},
447
- "output_type": "display_data"
448
- },
449
- {
450
- "ename": "DatasetGenerationError",
451
- "evalue": "An error occurred while generating the dataset",
452
- "output_type": "error",
453
- "traceback": [
454
- "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
455
- "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)",
456
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\builder.py:1940\u001b[0m, in \u001b[0;36mArrowBasedBuilder._prepare_split_single\u001b[1;34m(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)\u001b[0m\n\u001b[0;32m 1933\u001b[0m writer \u001b[38;5;241m=\u001b[39m writer_class(\n\u001b[0;32m 1934\u001b[0m features\u001b[38;5;241m=\u001b[39mwriter\u001b[38;5;241m.\u001b[39m_features,\n\u001b[0;32m 1935\u001b[0m path\u001b[38;5;241m=\u001b[39mfpath\u001b[38;5;241m.\u001b[39mreplace(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSSSSS\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mshard_id\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m05d\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39mreplace(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mJJJJJ\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mjob_id\u001b[38;5;132;01m:\u001b[39;00m\u001b[38;5;124m05d\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1938\u001b[0m embed_local_files\u001b[38;5;241m=\u001b[39membed_local_files,\n\u001b[0;32m 1939\u001b[0m )\n\u001b[1;32m-> 1940\u001b[0m writer\u001b[38;5;241m.\u001b[39mwrite_table(table)\n\u001b[0;32m 1941\u001b[0m num_examples_progress_update \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(table)\n",
457
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\arrow_writer.py:572\u001b[0m, in \u001b[0;36mArrowWriter.write_table\u001b[1;34m(self, pa_table, writer_batch_size)\u001b[0m\n\u001b[0;32m 571\u001b[0m pa_table \u001b[38;5;241m=\u001b[39m pa_table\u001b[38;5;241m.\u001b[39mcombine_chunks()\n\u001b[1;32m--> 572\u001b[0m pa_table \u001b[38;5;241m=\u001b[39m table_cast(pa_table, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_schema)\n\u001b[0;32m 573\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39membed_local_files:\n",
458
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:2328\u001b[0m, in \u001b[0;36mtable_cast\u001b[1;34m(table, schema)\u001b[0m\n\u001b[0;32m 2327\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m table\u001b[38;5;241m.\u001b[39mschema \u001b[38;5;241m!=\u001b[39m schema:\n\u001b[1;32m-> 2328\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m cast_table_to_schema(table, schema)\n\u001b[0;32m 2329\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m table\u001b[38;5;241m.\u001b[39mschema\u001b[38;5;241m.\u001b[39mmetadata \u001b[38;5;241m!=\u001b[39m schema\u001b[38;5;241m.\u001b[39mmetadata:\n",
459
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:2287\u001b[0m, in \u001b[0;36mcast_table_to_schema\u001b[1;34m(table, schema)\u001b[0m\n\u001b[0;32m 2286\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCouldn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt cast\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mtable\u001b[38;5;241m.\u001b[39mschema\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mto\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mfeatures\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mbecause column names don\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt match\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m-> 2287\u001b[0m arrays \u001b[38;5;241m=\u001b[39m [cast_array_to_feature(table[name], feature) \u001b[38;5;28;01mfor\u001b[39;00m name, feature \u001b[38;5;129;01min\u001b[39;00m features\u001b[38;5;241m.\u001b[39mitems()]\n\u001b[0;32m 2288\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pa\u001b[38;5;241m.\u001b[39mTable\u001b[38;5;241m.\u001b[39mfrom_arrays(arrays, schema\u001b[38;5;241m=\u001b[39mschema)\n",
460
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:2287\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 2286\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCouldn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt cast\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mtable\u001b[38;5;241m.\u001b[39mschema\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mto\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mfeatures\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mbecause column names don\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt match\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m-> 2287\u001b[0m arrays \u001b[38;5;241m=\u001b[39m [cast_array_to_feature(table[name], feature) \u001b[38;5;28;01mfor\u001b[39;00m name, feature \u001b[38;5;129;01min\u001b[39;00m features\u001b[38;5;241m.\u001b[39mitems()]\n\u001b[0;32m 2288\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pa\u001b[38;5;241m.\u001b[39mTable\u001b[38;5;241m.\u001b[39mfrom_arrays(arrays, schema\u001b[38;5;241m=\u001b[39mschema)\n",
461
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:1831\u001b[0m, in \u001b[0;36m_wrap_for_chunked_arrays.<locals>.wrapper\u001b[1;34m(array, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1830\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(array, pa\u001b[38;5;241m.\u001b[39mChunkedArray):\n\u001b[1;32m-> 1831\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pa\u001b[38;5;241m.\u001b[39mchunked_array([func(chunk, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;28;01mfor\u001b[39;00m chunk \u001b[38;5;129;01min\u001b[39;00m array\u001b[38;5;241m.\u001b[39mchunks])\n\u001b[0;32m 1832\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
462
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:1831\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 1830\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(array, pa\u001b[38;5;241m.\u001b[39mChunkedArray):\n\u001b[1;32m-> 1831\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pa\u001b[38;5;241m.\u001b[39mchunked_array([func(chunk, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;28;01mfor\u001b[39;00m chunk \u001b[38;5;129;01min\u001b[39;00m array\u001b[38;5;241m.\u001b[39mchunks])\n\u001b[0;32m 1832\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
463
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:2073\u001b[0m, in \u001b[0;36mcast_array_to_feature\u001b[1;34m(array, feature, allow_number_to_str)\u001b[0m\n\u001b[0;32m 2072\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m array\n\u001b[1;32m-> 2073\u001b[0m arrays \u001b[38;5;241m=\u001b[39m [_c(array\u001b[38;5;241m.\u001b[39mfield(name), subfeature) \u001b[38;5;28;01mfor\u001b[39;00m name, subfeature \u001b[38;5;129;01min\u001b[39;00m feature\u001b[38;5;241m.\u001b[39mitems()]\n\u001b[0;32m 2074\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pa\u001b[38;5;241m.\u001b[39mStructArray\u001b[38;5;241m.\u001b[39mfrom_arrays(arrays, names\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mlist\u001b[39m(feature), mask\u001b[38;5;241m=\u001b[39marray\u001b[38;5;241m.\u001b[39mis_null())\n",
464
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:2073\u001b[0m, in \u001b[0;36m<listcomp>\u001b[1;34m(.0)\u001b[0m\n\u001b[0;32m 2072\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m array\n\u001b[1;32m-> 2073\u001b[0m arrays \u001b[38;5;241m=\u001b[39m [_c(array\u001b[38;5;241m.\u001b[39mfield(name), subfeature) \u001b[38;5;28;01mfor\u001b[39;00m name, subfeature \u001b[38;5;129;01min\u001b[39;00m feature\u001b[38;5;241m.\u001b[39mitems()]\n\u001b[0;32m 2074\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m pa\u001b[38;5;241m.\u001b[39mStructArray\u001b[38;5;241m.\u001b[39mfrom_arrays(arrays, names\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mlist\u001b[39m(feature), mask\u001b[38;5;241m=\u001b[39marray\u001b[38;5;241m.\u001b[39mis_null())\n",
465
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:1833\u001b[0m, in \u001b[0;36m_wrap_for_chunked_arrays.<locals>.wrapper\u001b[1;34m(array, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1832\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1833\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(array, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
466
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:2143\u001b[0m, in \u001b[0;36mcast_array_to_feature\u001b[1;34m(array, feature, allow_number_to_str)\u001b[0m\n\u001b[0;32m 2142\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(feature, (Sequence, \u001b[38;5;28mdict\u001b[39m, \u001b[38;5;28mlist\u001b[39m, \u001b[38;5;28mtuple\u001b[39m)):\n\u001b[1;32m-> 2143\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m array_cast(array, feature(), allow_number_to_str\u001b[38;5;241m=\u001b[39mallow_number_to_str)\n\u001b[0;32m 2144\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCouldn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt cast array of type\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00marray\u001b[38;5;241m.\u001b[39mtype\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mto\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00mfeature\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
467
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:1833\u001b[0m, in \u001b[0;36m_wrap_for_chunked_arrays.<locals>.wrapper\u001b[1;34m(array, *args, **kwargs)\u001b[0m\n\u001b[0;32m 1832\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1833\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(array, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
468
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\table.py:2026\u001b[0m, in \u001b[0;36marray_cast\u001b[1;34m(array, pa_type, allow_number_to_str)\u001b[0m\n\u001b[0;32m 2025\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m pa\u001b[38;5;241m.\u001b[39mtypes\u001b[38;5;241m.\u001b[39mis_null(pa_type) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m pa\u001b[38;5;241m.\u001b[39mtypes\u001b[38;5;241m.\u001b[39mis_null(array\u001b[38;5;241m.\u001b[39mtype):\n\u001b[1;32m-> 2026\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCouldn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt cast array of type \u001b[39m\u001b[38;5;132;01m{\u001b[39;00marray\u001b[38;5;241m.\u001b[39mtype\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m to \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpa_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 2027\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m array\u001b[38;5;241m.\u001b[39mcast(pa_type)\n",
469
- "\u001b[1;31mTypeError\u001b[0m: Couldn't cast array of type timestamp[s] to null",
470
- "\nThe above exception was the direct cause of the following exception:\n",
471
- "\u001b[1;31mDatasetGenerationError\u001b[0m Traceback (most recent call last)",
472
- "Cell \u001b[1;32mIn[15], line 5\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;66;03m# Correct file path\u001b[39;00m\n\u001b[0;32m 4\u001b[0m file_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mC:/Users/060971CA8/a_HF_Spaces/datasets-issues.jsonl\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m----> 5\u001b[0m issues_dataset \u001b[38;5;241m=\u001b[39m load_dataset(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mjson\u001b[39m\u001b[38;5;124m\"\u001b[39m, data_files\u001b[38;5;241m=\u001b[39mfile_path, split\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtrain\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 7\u001b[0m \u001b[38;5;28mprint\u001b[39m(issues_dataset)\n",
473
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\load.py:2136\u001b[0m, in \u001b[0;36mload_dataset\u001b[1;34m(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, verification_mode, ignore_verifications, keep_in_memory, save_infos, revision, token, use_auth_token, task, streaming, num_proc, storage_options, **config_kwargs)\u001b[0m\n\u001b[0;32m 2133\u001b[0m try_from_hf_gcs \u001b[38;5;241m=\u001b[39m path \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m _PACKAGED_DATASETS_MODULES\n\u001b[0;32m 2135\u001b[0m \u001b[38;5;66;03m# Download and prepare data\u001b[39;00m\n\u001b[1;32m-> 2136\u001b[0m builder_instance\u001b[38;5;241m.\u001b[39mdownload_and_prepare(\n\u001b[0;32m 2137\u001b[0m download_config\u001b[38;5;241m=\u001b[39mdownload_config,\n\u001b[0;32m 2138\u001b[0m download_mode\u001b[38;5;241m=\u001b[39mdownload_mode,\n\u001b[0;32m 2139\u001b[0m verification_mode\u001b[38;5;241m=\u001b[39mverification_mode,\n\u001b[0;32m 2140\u001b[0m try_from_hf_gcs\u001b[38;5;241m=\u001b[39mtry_from_hf_gcs,\n\u001b[0;32m 2141\u001b[0m num_proc\u001b[38;5;241m=\u001b[39mnum_proc,\n\u001b[0;32m 2142\u001b[0m storage_options\u001b[38;5;241m=\u001b[39mstorage_options,\n\u001b[0;32m 2143\u001b[0m )\n\u001b[0;32m 2145\u001b[0m \u001b[38;5;66;03m# Build dataset for splits\u001b[39;00m\n\u001b[0;32m 2146\u001b[0m keep_in_memory \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m 2147\u001b[0m keep_in_memory \u001b[38;5;28;01mif\u001b[39;00m keep_in_memory \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m is_small_dataset(builder_instance\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39mdataset_size)\n\u001b[0;32m 2148\u001b[0m )\n",
474
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\builder.py:954\u001b[0m, in \u001b[0;36mDatasetBuilder.download_and_prepare\u001b[1;34m(self, output_dir, download_config, download_mode, verification_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, file_format, max_shard_size, num_proc, storage_options, **download_and_prepare_kwargs)\u001b[0m\n\u001b[0;32m 952\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m num_proc \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 953\u001b[0m prepare_split_kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnum_proc\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m num_proc\n\u001b[1;32m--> 954\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_download_and_prepare(\n\u001b[0;32m 955\u001b[0m dl_manager\u001b[38;5;241m=\u001b[39mdl_manager,\n\u001b[0;32m 956\u001b[0m verification_mode\u001b[38;5;241m=\u001b[39mverification_mode,\n\u001b[0;32m 957\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mprepare_split_kwargs,\n\u001b[0;32m 958\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mdownload_and_prepare_kwargs,\n\u001b[0;32m 959\u001b[0m )\n\u001b[0;32m 960\u001b[0m \u001b[38;5;66;03m# Sync info\u001b[39;00m\n\u001b[0;32m 961\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39mdataset_size \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msum\u001b[39m(split\u001b[38;5;241m.\u001b[39mnum_bytes \u001b[38;5;28;01mfor\u001b[39;00m split \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minfo\u001b[38;5;241m.\u001b[39msplits\u001b[38;5;241m.\u001b[39mvalues())\n",
475
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\builder.py:1049\u001b[0m, in \u001b[0;36mDatasetBuilder._download_and_prepare\u001b[1;34m(self, dl_manager, verification_mode, **prepare_split_kwargs)\u001b[0m\n\u001b[0;32m 1045\u001b[0m split_dict\u001b[38;5;241m.\u001b[39madd(split_generator\u001b[38;5;241m.\u001b[39msplit_info)\n\u001b[0;32m 1047\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 1048\u001b[0m \u001b[38;5;66;03m# Prepare split will record examples associated to the split\u001b[39;00m\n\u001b[1;32m-> 1049\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_prepare_split(split_generator, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mprepare_split_kwargs)\n\u001b[0;32m 1050\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m 1051\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mOSError\u001b[39;00m(\n\u001b[0;32m 1052\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCannot find data file. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 1053\u001b[0m \u001b[38;5;241m+\u001b[39m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmanual_download_instructions \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 1054\u001b[0m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mOriginal error:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 1055\u001b[0m \u001b[38;5;241m+\u001b[39m \u001b[38;5;28mstr\u001b[39m(e)\n\u001b[0;32m 1056\u001b[0m ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n",
476
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\builder.py:1813\u001b[0m, in \u001b[0;36mArrowBasedBuilder._prepare_split\u001b[1;34m(self, split_generator, file_format, num_proc, max_shard_size)\u001b[0m\n\u001b[0;32m 1811\u001b[0m job_id \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[0;32m 1812\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m pbar:\n\u001b[1;32m-> 1813\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m job_id, done, content \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_prepare_split_single(\n\u001b[0;32m 1814\u001b[0m gen_kwargs\u001b[38;5;241m=\u001b[39mgen_kwargs, job_id\u001b[38;5;241m=\u001b[39mjob_id, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m_prepare_split_args\n\u001b[0;32m 1815\u001b[0m ):\n\u001b[0;32m 1816\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m done:\n\u001b[0;32m 1817\u001b[0m result \u001b[38;5;241m=\u001b[39m content\n",
477
- "File \u001b[1;32m~\\AppData\\Local\\anaconda3\\Lib\\site-packages\\datasets\\builder.py:1958\u001b[0m, in \u001b[0;36mArrowBasedBuilder._prepare_split_single\u001b[1;34m(self, gen_kwargs, fpath, file_format, max_shard_size, job_id)\u001b[0m\n\u001b[0;32m 1956\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(e, SchemaInferenceError) \u001b[38;5;129;01mand\u001b[39;00m e\u001b[38;5;241m.\u001b[39m__context__ \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 1957\u001b[0m e \u001b[38;5;241m=\u001b[39m e\u001b[38;5;241m.\u001b[39m__context__\n\u001b[1;32m-> 1958\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m DatasetGenerationError(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAn error occurred while generating the dataset\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01me\u001b[39;00m\n\u001b[0;32m 1960\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m job_id, \u001b[38;5;28;01mTrue\u001b[39;00m, (total_num_examples, total_num_bytes, writer\u001b[38;5;241m.\u001b[39m_features, num_shards, shard_lengths)\n",
478
- "\u001b[1;31mDatasetGenerationError\u001b[0m: An error occurred while generating the dataset"
479
- ]
480
- }
481
- ],
482
- "source": [
483
- "from datasets import load_dataset\n",
484
- "\n",
485
- "# Correct file path\n",
486
- "file_path = \"C:/Users/060971CA8/a_HF_Spaces/datasets-issues.jsonl\"\n",
487
- "issues_dataset = load_dataset(\"json\", data_files=file_path, split=\"train\")\n",
488
- "\n",
489
- "print(issues_dataset)\n"
490
- ]
491
- },
492
- {
493
- "cell_type": "code",
494
- "execution_count": 16,
495
- "id": "d5ef113b",
496
- "metadata": {},
497
- "outputs": [
498
- {
499
- "name": "stdout",
500
- "output_type": "stream",
501
- "text": [
502
- "Dataset({\n",
503
- " features: ['url', 'repository_url', 'labels_url', 'comments_url', 'events_url', 'html_url', 'id', 'node_id', 'number', 'title', 'user', 'labels', 'state', 'locked', 'assignee', 'assignees', 'milestone', 'comments', 'created_at', 'updated_at', 'closed_at', 'author_association', 'active_lock_reason', 'body', 'reactions', 'timeline_url', 'performed_via_github_app', 'state_reason', 'draft', 'pull_request'],\n",
504
- " num_rows: 6139\n",
505
- "})\n"
506
- ]
507
- }
508
- ],
509
- "source": [
510
- "import pandas as pd\n",
511
- "from datasets import Dataset\n",
512
- "\n",
513
- "# Correct file path\n",
514
- "file_path = \"C:/Users/060971CA8/a_HF_Spaces/datasets-issues.jsonl\"\n",
515
- "df = pd.read_json(file_path, lines=True)\n",
516
- "\n",
517
- "for col in df.columns:\n",
518
- " if df[col].dtype == 'datetime64[ns]':\n",
519
- " df[col] = df[col].astype(str)\n",
520
- "\n",
521
- "issues_dataset = Dataset.from_pandas(df)\n",
522
- "\n",
523
- "print(issues_dataset)\n"
524
- ]
525
- },
526
- {
527
- "cell_type": "code",
528
- "execution_count": 17,
529
- "id": "179b2818",
530
- "metadata": {},
531
- "outputs": [],
532
- "source": [
533
- "sample = issues_dataset.shuffle(seed=666).select(range(3))"
534
- ]
535
- },
536
- {
537
- "cell_type": "code",
538
- "execution_count": 18,
539
- "id": "ea0a0067",
540
- "metadata": {},
541
- "outputs": [
542
- {
543
- "name": "stdout",
544
- "output_type": "stream",
545
- "text": [
546
- ">> URL: https://github.com/huggingface/datasets/pull/4516\n",
547
- ">> Pull request: {'diff_url': 'https://github.com/huggingface/datasets/pull/4516.diff', 'html_url': 'https://github.com/huggingface/datasets/pull/4516', 'merged_at': '2022-06-28T13:23:05Z', 'patch_url': 'https://github.com/huggingface/datasets/pull/4516.patch', 'url': 'https://api.github.com/repos/huggingface/datasets/pulls/4516'}\n",
548
- "\n",
549
- ">> URL: https://github.com/huggingface/datasets/issues/5346\n",
550
- ">> Pull request: None\n",
551
- "\n",
552
- ">> URL: https://github.com/huggingface/datasets/pull/783\n",
553
- ">> Pull request: {'diff_url': 'https://github.com/huggingface/datasets/pull/783.diff', 'html_url': 'https://github.com/huggingface/datasets/pull/783', 'merged_at': None, 'patch_url': 'https://github.com/huggingface/datasets/pull/783.patch', 'url': 'https://api.github.com/repos/huggingface/datasets/pulls/783'}\n",
554
- "\n"
555
- ]
556
- }
557
- ],
558
- "source": [
559
- "for url, pr in zip(sample[\"html_url\"], sample[\"pull_request\"]):\n",
560
- " print(f\">> URL: {url}\")\n",
561
- " print(f\">> Pull request: {pr}\\n\")"
562
- ]
563
- },
564
- {
565
- "cell_type": "code",
566
- "execution_count": 19,
567
- "id": "0388dabb",
568
- "metadata": {},
569
- "outputs": [
570
- {
571
- "data": {
572
- "text/plain": [
573
- "[{'url': 'https://api.github.com/repos/huggingface/datasets/issues/comments/897594128',\n",
574
- " 'html_url': 'https://github.com/huggingface/datasets/pull/2792#issuecomment-897594128',\n",
575
- " 'issue_url': 'https://api.github.com/repos/huggingface/datasets/issues/2792',\n",
576
- " 'id': 897594128,\n",
577
- " 'node_id': 'IC_kwDODunzps41gDMQ',\n",
578
- " 'user': {'login': 'bhavitvyamalik',\n",
579
- " 'id': 19718818,\n",
580
- " 'node_id': 'MDQ6VXNlcjE5NzE4ODE4',\n",
581
- " 'avatar_url': 'https://avatars.githubusercontent.com/u/19718818?v=4',\n",
582
- " 'gravatar_id': '',\n",
583
- " 'url': 'https://api.github.com/users/bhavitvyamalik',\n",
584
- " 'html_url': 'https://github.com/bhavitvyamalik',\n",
585
- " 'followers_url': 'https://api.github.com/users/bhavitvyamalik/followers',\n",
586
- " 'following_url': 'https://api.github.com/users/bhavitvyamalik/following{/other_user}',\n",
587
- " 'gists_url': 'https://api.github.com/users/bhavitvyamalik/gists{/gist_id}',\n",
588
- " 'starred_url': 'https://api.github.com/users/bhavitvyamalik/starred{/owner}{/repo}',\n",
589
- " 'subscriptions_url': 'https://api.github.com/users/bhavitvyamalik/subscriptions',\n",
590
- " 'organizations_url': 'https://api.github.com/users/bhavitvyamalik/orgs',\n",
591
- " 'repos_url': 'https://api.github.com/users/bhavitvyamalik/repos',\n",
592
- " 'events_url': 'https://api.github.com/users/bhavitvyamalik/events{/privacy}',\n",
593
- " 'received_events_url': 'https://api.github.com/users/bhavitvyamalik/received_events',\n",
594
- " 'type': 'User',\n",
595
- " 'site_admin': False},\n",
596
- " 'created_at': '2021-08-12T12:21:52Z',\n",
597
- " 'updated_at': '2021-08-12T12:31:17Z',\n",
598
- " 'author_association': 'CONTRIBUTOR',\n",
599
- " 'body': \"@albertvillanova my tests are failing here:\\r\\n```\\r\\ndataset_name = 'gooaq'\\r\\n\\r\\n def test_load_dataset(self, dataset_name):\\r\\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\\r\\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_local_dummy_data=True)\\r\\n\\r\\ntests/test_dataset_common.py:234: \\r\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\r\\ntests/test_dataset_common.py:187: in check_load_dataset\\r\\n self.parent.assertTrue(len(dataset[split]) > 0)\\r\\nE AssertionError: False is not true\\r\\n```\\r\\nWhen I try loading dataset on local machine it works fine. Any suggestions on how can I avoid this error?\",\n",
600
- " 'reactions': {'url': 'https://api.github.com/repos/huggingface/datasets/issues/comments/897594128/reactions',\n",
601
- " 'total_count': 0,\n",
602
- " '+1': 0,\n",
603
- " '-1': 0,\n",
604
- " 'laugh': 0,\n",
605
- " 'hooray': 0,\n",
606
- " 'confused': 0,\n",
607
- " 'heart': 0,\n",
608
- " 'rocket': 0,\n",
609
- " 'eyes': 0},\n",
610
- " 'performed_via_github_app': None},\n",
611
- " {'url': 'https://api.github.com/repos/huggingface/datasets/issues/comments/898644889',\n",
612
- " 'html_url': 'https://github.com/huggingface/datasets/pull/2792#issuecomment-898644889',\n",
613
- " 'issue_url': 'https://api.github.com/repos/huggingface/datasets/issues/2792',\n",
614
- " 'id': 898644889,\n",
615
- " 'node_id': 'IC_kwDODunzps41kDuZ',\n",
616
- " 'user': {'login': 'bhavitvyamalik',\n",
617
- " 'id': 19718818,\n",
618
- " 'node_id': 'MDQ6VXNlcjE5NzE4ODE4',\n",
619
- " 'avatar_url': 'https://avatars.githubusercontent.com/u/19718818?v=4',\n",
620
- " 'gravatar_id': '',\n",
621
- " 'url': 'https://api.github.com/users/bhavitvyamalik',\n",
622
- " 'html_url': 'https://github.com/bhavitvyamalik',\n",
623
- " 'followers_url': 'https://api.github.com/users/bhavitvyamalik/followers',\n",
624
- " 'following_url': 'https://api.github.com/users/bhavitvyamalik/following{/other_user}',\n",
625
- " 'gists_url': 'https://api.github.com/users/bhavitvyamalik/gists{/gist_id}',\n",
626
- " 'starred_url': 'https://api.github.com/users/bhavitvyamalik/starred{/owner}{/repo}',\n",
627
- " 'subscriptions_url': 'https://api.github.com/users/bhavitvyamalik/subscriptions',\n",
628
- " 'organizations_url': 'https://api.github.com/users/bhavitvyamalik/orgs',\n",
629
- " 'repos_url': 'https://api.github.com/users/bhavitvyamalik/repos',\n",
630
- " 'events_url': 'https://api.github.com/users/bhavitvyamalik/events{/privacy}',\n",
631
- " 'received_events_url': 'https://api.github.com/users/bhavitvyamalik/received_events',\n",
632
- " 'type': 'User',\n",
633
- " 'site_admin': False},\n",
634
- " 'created_at': '2021-08-13T18:28:27Z',\n",
635
- " 'updated_at': '2021-08-13T18:28:27Z',\n",
636
- " 'author_association': 'CONTRIBUTOR',\n",
637
- " 'body': 'Thanks for the help, @albertvillanova! All tests are passing now.',\n",
638
- " 'reactions': {'url': 'https://api.github.com/repos/huggingface/datasets/issues/comments/898644889/reactions',\n",
639
- " 'total_count': 0,\n",
640
- " '+1': 0,\n",
641
- " '-1': 0,\n",
642
- " 'laugh': 0,\n",
643
- " 'hooray': 0,\n",
644
- " 'confused': 0,\n",
645
- " 'heart': 0,\n",
646
- " 'rocket': 0,\n",
647
- " 'eyes': 0},\n",
648
- " 'performed_via_github_app': None}]"
649
- ]
650
- },
651
- "execution_count": 19,
652
- "metadata": {},
653
- "output_type": "execute_result"
654
- }
655
- ],
656
- "source": [
657
- "issue_number = 2792\n",
658
- "url = f\"https://api.github.com/repos/huggingface/datasets/issues/{issue_number}/comments\"\n",
659
- "response = requests.get(url, headers=headers)\n",
660
- "response.json()"
661
- ]
662
- },
663
- {
664
- "cell_type": "code",
665
- "execution_count": 20,
666
- "id": "2404a310",
667
- "metadata": {},
668
- "outputs": [
669
- {
670
- "data": {
671
- "text/plain": [
672
- "[\"@albertvillanova my tests are failing here:\\r\\n```\\r\\ndataset_name = 'gooaq'\\r\\n\\r\\n def test_load_dataset(self, dataset_name):\\r\\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\\r\\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_local_dummy_data=True)\\r\\n\\r\\ntests/test_dataset_common.py:234: \\r\\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \\r\\ntests/test_dataset_common.py:187: in check_load_dataset\\r\\n self.parent.assertTrue(len(dataset[split]) > 0)\\r\\nE AssertionError: False is not true\\r\\n```\\r\\nWhen I try loading dataset on local machine it works fine. Any suggestions on how can I avoid this error?\",\n",
673
- " 'Thanks for the help, @albertvillanova! All tests are passing now.']"
674
- ]
675
- },
676
- "execution_count": 20,
677
- "metadata": {},
678
- "output_type": "execute_result"
679
- }
680
- ],
681
- "source": [
682
- "def get_comments(issue_number):\n",
683
- " url = f\"https://api.github.com/repos/huggingface/datasets/issues/{issue_number}/comments\"\n",
684
- " response = requests.get(url, headers=headers)\n",
685
- " return [r[\"body\"] for r in response.json()]\n",
686
- "\n",
687
- "\n",
688
- "# Test our function works as expected\n",
689
- "get_comments(2792)"
690
- ]
691
- },
692
- {
693
- "cell_type": "code",
694
- "execution_count": 21,
695
- "id": "092dd794",
696
- "metadata": {},
697
- "outputs": [
698
- {
699
- "data": {
700
- "application/vnd.jupyter.widget-view+json": {
701
- "model_id": "3e9442d14cbf46e38c78e561a0717fd5",
702
- "version_major": 2,
703
- "version_minor": 0
704
- },
705
- "text/plain": [
706
- "Map: 0%| | 0/6139 [00:00<?, ? examples/s]"
707
- ]
708
- },
709
- "metadata": {},
710
- "output_type": "display_data"
711
- }
712
- ],
713
- "source": [
714
- "# Depending on your internet connection, this can take a few minutes...\n",
715
- "issues_with_comments_dataset = issues_dataset.map(\n",
716
- " lambda x: {\"comments\": get_comments(x[\"number\"])}\n",
717
- ")"
718
- ]
719
- },
720
- {
721
- "cell_type": "code",
722
- "execution_count": null,
723
- "id": "013b0fa9",
724
- "metadata": {},
725
- "outputs": [],
726
- "source": []
727
- }
728
- ],
729
- "metadata": {
730
- "kernelspec": {
731
- "display_name": "Python 3 (ipykernel)",
732
- "language": "python",
733
- "name": "python3"
734
- },
735
- "language_info": {
736
- "codemirror_mode": {
737
- "name": "ipython",
738
- "version": 3
739
- },
740
- "file_extension": ".py",
741
- "mimetype": "text/x-python",
742
- "name": "python",
743
- "nbconvert_exporter": "python",
744
- "pygments_lexer": "ipython3",
745
- "version": "3.11.3"
746
- }
747
- },
748
- "nbformat": 4,
749
- "nbformat_minor": 5
750
- }