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classes | comments_text list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/huggingface/datasets/issues/906 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/906/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/906/comments | https://api.github.com/repos/huggingface/datasets/issues/906/events | https://github.com/huggingface/datasets/pull/906 | 752,403,395 | MDExOlB1bGxSZXF1ZXN0NTI4NzM0MDY0 | 906 | Fix url with backslash in windows for blimp and pg19 | [] | closed | false | null | 0 | 2020-11-27T17:59:11Z | 2020-11-27T18:19:56Z | 2020-11-27T18:19:56Z | null | Following #903 I also fixed blimp and pg19 which were using the `os.path.join` to create urls
cc @albertvillanova | {
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https://api.github.com/repos/huggingface/datasets/issues/2491 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2491/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2491/comments | https://api.github.com/repos/huggingface/datasets/issues/2491/events | https://github.com/huggingface/datasets/pull/2491 | 919,714,506 | MDExOlB1bGxSZXF1ZXN0NjY4OTg5MTUw | 2,491 | add eduge classification dataset | [] | closed | false | null | 1 | 2021-06-13T04:37:01Z | 2021-06-13T05:06:48Z | 2021-06-13T05:06:38Z | null | {
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"Closing this PR as I'll submit a new one - bug free"
] | |
https://api.github.com/repos/huggingface/datasets/issues/2856 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2856/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2856/comments | https://api.github.com/repos/huggingface/datasets/issues/2856/events | https://github.com/huggingface/datasets/pull/2856 | 983,876,734 | MDExOlB1bGxSZXF1ZXN0NzIzMzg2NzIw | 2,856 | fix: 🐛 remove URL's query string only if it's ?dl=1 | [] | closed | false | null | 0 | 2021-08-31T13:40:07Z | 2021-08-31T14:22:12Z | 2021-08-31T14:22:12Z | null | A lot of URL use the query strings, for example
http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/en-ku.txt.zip, we
must not remove it when trying to detect the protocol. We thus remove it
only in the case of the query string being ?dl=1 which occurs on dropbox
and dl.orangedox.com. Also: add unit tests.
See https://github.com/huggingface/datasets/pull/2843 for the original
discussion. | {
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https://api.github.com/repos/huggingface/datasets/issues/1160 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1160/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1160/comments | https://api.github.com/repos/huggingface/datasets/issues/1160/events | https://github.com/huggingface/datasets/pull/1160 | 757,677,188 | MDExOlB1bGxSZXF1ZXN0NTMzMDE0Nzcw | 1,160 | adding TabFact dataset | [] | closed | false | null | 2 | 2020-12-05T13:05:52Z | 2020-12-09T11:41:39Z | 2020-12-09T09:12:41Z | null | Adding TabFact: A Large-scale Dataset for Table-based Fact Verification.
https://github.com/wenhuchen/Table-Fact-Checking
- The tables are stored as individual csv files, so need to download 16,573 🤯 csv files. As a result the `datasets_infos.json` file is huge (6.62 MB).
- Original dataset has nested structure where, where table is one example and each table has multiple statements,
flattening the structure here so that each statement is one example. | {
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"FYI you guys are on GitHub's homepage 😍\r\n\r\n<img width=\"1589\" alt=\"Screenshot 2020-12-09 at 12 34 28\" src=\"https://user-images.githubusercontent.com/326577/101624883-a0ecc700-39e8-11eb-8a97-11af0d036536.png\">\r\n",
"Yeayy 😍 🔥"
] |
https://api.github.com/repos/huggingface/datasets/issues/237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/237/comments | https://api.github.com/repos/huggingface/datasets/issues/237/events | https://github.com/huggingface/datasets/issues/237 | 631,199,940 | MDU6SXNzdWU2MzExOTk5NDA= | 237 | Can't download MultiNLI | [] | closed | false | null | 3 | 2020-06-04T23:05:21Z | 2020-06-06T10:51:34Z | 2020-06-06T10:51:34Z | null | When I try to download MultiNLI with
```python
dataset = load_dataset('multi_nli')
```
I get this long error:
```python
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-13-3b11f6be4cb9> in <module>
1 # Load a dataset and print the first examples in the training set
2 # nli_dataset = nlp.load_dataset('multi_nli')
----> 3 dataset = load_dataset('multi_nli')
4 # nli_dataset = nlp.load_dataset('multi_nli', split='validation_matched[:10%]')
5 # print(nli_dataset['train'][0])
~\Miniconda3\envs\nlp\lib\site-packages\nlp\load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
514
515 # Download and prepare data
--> 516 builder_instance.download_and_prepare(
517 download_config=download_config,
518 download_mode=download_mode,
~\Miniconda3\envs\nlp\lib\site-packages\nlp\builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
417 with utils.temporary_assignment(self, "_cache_dir", tmp_data_dir):
418 verify_infos = not save_infos and not ignore_verifications
--> 419 self._download_and_prepare(
420 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
421 )
~\Miniconda3\envs\nlp\lib\site-packages\nlp\builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
455 split_dict = SplitDict(dataset_name=self.name)
456 split_generators_kwargs = self._make_split_generators_kwargs(prepare_split_kwargs)
--> 457 split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
458 # Checksums verification
459 if verify_infos:
~\Miniconda3\envs\nlp\lib\site-packages\nlp\datasets\multi_nli\60774175381b9f3f1e6ae1028229e3cdb270d50379f45b9f2c01008f50f09e6b\multi_nli.py in _split_generators(self, dl_manager)
99 def _split_generators(self, dl_manager):
100
--> 101 downloaded_dir = dl_manager.download_and_extract(
102 "http://storage.googleapis.com/tfds-data/downloads/multi_nli/multinli_1.0.zip"
103 )
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\download_manager.py in download_and_extract(self, url_or_urls)
214 extracted_path(s): `str`, extracted paths of given URL(s).
215 """
--> 216 return self.extract(self.download(url_or_urls))
217
218 def get_recorded_sizes_checksums(self):
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\download_manager.py in extract(self, path_or_paths)
194 path_or_paths.
195 """
--> 196 return map_nested(
197 lambda path: cached_path(path, extract_compressed_file=True, force_extract=False), path_or_paths,
198 )
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\py_utils.py in map_nested(function, data_struct, dict_only, map_tuple)
168 return tuple(mapped)
169 # Singleton
--> 170 return function(data_struct)
171
172
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\download_manager.py in <lambda>(path)
195 """
196 return map_nested(
--> 197 lambda path: cached_path(path, extract_compressed_file=True, force_extract=False), path_or_paths,
198 )
199
~\Miniconda3\envs\nlp\lib\site-packages\nlp\utils\file_utils.py in cached_path(url_or_filename, download_config, **download_kwargs)
231 if is_zipfile(output_path):
232 with ZipFile(output_path, "r") as zip_file:
--> 233 zip_file.extractall(output_path_extracted)
234 zip_file.close()
235 elif tarfile.is_tarfile(output_path):
~\Miniconda3\envs\nlp\lib\zipfile.py in extractall(self, path, members, pwd)
1644
1645 for zipinfo in members:
-> 1646 self._extract_member(zipinfo, path, pwd)
1647
1648 @classmethod
~\Miniconda3\envs\nlp\lib\zipfile.py in _extract_member(self, member, targetpath, pwd)
1698
1699 with self.open(member, pwd=pwd) as source, \
-> 1700 open(targetpath, "wb") as target:
1701 shutil.copyfileobj(source, target)
1702
OSError: [Errno 22] Invalid argument: 'C:\\Users\\Python\\.cache\\huggingface\\datasets\\3e12413b8ec69f22dfcfd54a79d1ba9e7aac2e18e334bbb6b81cca64fd16bffc\\multinli_1.0\\Icon\r'
```
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"You should use `load_dataset('glue', 'mnli')`",
"Thanks! I thought I had to use the same code displayed in the live viewer:\r\n```python\r\n!pip install nlp\r\nfrom nlp import load_dataset\r\ndataset = load_dataset('multi_nli', 'plain_text')\r\n```\r\nYour suggestion works, even if then I got a different issue (... |
https://api.github.com/repos/huggingface/datasets/issues/4852 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4852/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4852/comments | https://api.github.com/repos/huggingface/datasets/issues/4852/events | https://github.com/huggingface/datasets/issues/4852 | 1,339,450,991 | I_kwDODunzps5P1mZv | 4,852 | Bug in multilingual_with_para config of exams dataset and checksums error | [
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] | closed | false | null | 2 | 2022-08-15T20:14:52Z | 2022-09-16T09:50:55Z | 2022-08-16T06:29:07Z | null | ## Describe the bug
There is a bug for "multilingual_with_para" config in exams dataset:
```python
ds = load_dataset("./datasets/exams", split="train")
```
raises:
```
KeyError: 'choices'
```
Moreover, there is a NonMatchingChecksumError:
```
NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://github.com/mhardalov/exams-qa/raw/main/data/exams/multilingual/with_paragraphs/train_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/multilingual/with_paragraphs/dev_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/multilingual/with_paragraphs/test_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/test_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_bg_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_bg_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_hr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_hr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_hu_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_hu_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_it_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_it_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_mk_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_mk_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_pl_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_pl_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_pt_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_pt_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_sq_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_sq_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_sr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_sr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_tr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_tr_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/train_vi_with_para.jsonl.tar.gz', 'https://github.com/mhardalov/exams-qa/raw/main/data/exams/cross-lingual/with_paragraphs/dev_vi_with_para.jsonl.tar.gz']
```
CC: @thesofakillers | {
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"Hi @albertvillanova. Unfortunately I still get this error. Is this because the merge has yet to be released? Is there a way to track the release?",
"Hi @thesofakillers, yes you are right: the fix will be available after next release (it was planned for today; Monday at the latest).\r\n\r\nIn the meantime, you ca... |
https://api.github.com/repos/huggingface/datasets/issues/1381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1381/comments | https://api.github.com/repos/huggingface/datasets/issues/1381/events | https://github.com/huggingface/datasets/pull/1381 | 760,320,960 | MDExOlB1bGxSZXF1ZXN0NTM1MTcyMjkw | 1,381 | Add twi text c3 | [] | closed | false | null | 6 | 2020-12-09T13:16:38Z | 2020-12-13T18:39:27Z | 2020-12-13T18:39:27Z | null | Added Twi texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/ | {
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"looks like this PR includes changes about other datasets\r\n\r\nCan you only include the changes related to twi text c3 please ?",
"Hi @lhoestq , I have removed the unnecessary files. Can you please confirm?",
"You might need to either find a way to go back to the commit before it changes 389 files or create a... |
https://api.github.com/repos/huggingface/datasets/issues/3628 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3628/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3628/comments | https://api.github.com/repos/huggingface/datasets/issues/3628/events | https://github.com/huggingface/datasets/issues/3628 | 1,113,930,644 | I_kwDODunzps5CZTuU | 3,628 | Dataset Card Creator drops information for "Additional Information" Section | [
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] | open | false | null | 0 | 2022-01-25T14:06:17Z | 2022-01-25T14:09:01Z | null | null | First of all, the card creator is a great addition and really helpful for streamlining dataset cards!
## Describe the bug
I encountered an inconvenient bug when entering "Additional Information" in the react app, which drops already entered text when switching to a previous section, and then back again to "Additional Information". I was able to reproduce the issue in both Firefox and Chrome, so I suspect a problem with the React logic that doesn't expect users to switch back in the final section.
Edit: I'm also not sure whether this is the right place to open the bug report on, since it's not clear to me which particular project it belongs to, or where I could find associated source code.
## Steps to reproduce the bug
1. Navigate to the Section "Additional Information" in the [dataset card creator](https://huggingface.co/datasets/card-creator/)
2. Enter text in an arbitrary field, e.g., "Dataset Curators".
3. Switch back to a previous section, like "Dataset Creation".
4. When switching back again to "Additional Information", the text has been deleted.
Notably, this behavior can be reproduced again and again, it's not just problematic for the first "switch-back" from Additional Information.
## Expected results
For step 4, the previously entered information should still be present in the boxes, similar to the behavior to all other sections (switching back there works as expected)
## Actual results
The text boxes are empty again, and previously entered text got deleted.
## Environment info
- `datasets` version: N/A
- Platform: Firefox 96.0 / Chrome 97.0
- Python version: N/A
- PyArrow version: N/A
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https://api.github.com/repos/huggingface/datasets/issues/5909 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5909/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5909/comments | https://api.github.com/repos/huggingface/datasets/issues/5909/events | https://github.com/huggingface/datasets/pull/5909 | 1,728,900,068 | PR_kwDODunzps5Rgga6 | 5,909 | Use more efficient and idiomatic way to construct list. | [] | closed | false | null | 3 | 2023-05-27T18:54:47Z | 2023-05-31T15:37:11Z | 2023-05-31T13:28:29Z | null | Using `*` is ~2X faster according to [benchmark](https://colab.research.google.com/gist/ttsugriy/c964a2604edf70c41911b10335729b6a/for-vs-mult.ipynb) with just 4 patterns. This doesn't matter much since this tiny difference is not going to be noticeable, but why not? | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... |
https://api.github.com/repos/huggingface/datasets/issues/3614 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3614/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3614/comments | https://api.github.com/repos/huggingface/datasets/issues/3614/events | https://github.com/huggingface/datasets/pull/3614 | 1,110,736,657 | PR_kwDODunzps4xZdCe | 3,614 | Minor fixes | [] | closed | false | null | 0 | 2022-01-21T17:48:44Z | 2022-01-24T12:45:49Z | 2022-01-24T12:45:49Z | null | This PR:
* adds "desc" to the `ignore_kwargs` list in `Dataset.filter`
* fixes the default value of `id` in `DatasetDict.prepare_for_task` | {
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https://api.github.com/repos/huggingface/datasets/issues/2873 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2873/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2873/comments | https://api.github.com/repos/huggingface/datasets/issues/2873/events | https://github.com/huggingface/datasets/pull/2873 | 989,587,695 | MDExOlB1bGxSZXF1ZXN0NzI4MzA0MTMw | 2,873 | adding swedish_medical_ner | [] | closed | false | null | 2 | 2021-09-07T04:44:53Z | 2021-09-17T20:47:37Z | 2021-09-17T20:47:37Z | null | Adding the Swedish Medical NER dataset, listed in "Biomedical Datasets - BigScience Workshop 2021"
Code refactored | {
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"Hi, what's the current status of this request? It says Changes requested, but I can't see what changes?",
"Hi, it looks like this PR includes changes to other files that `swedish_medical_ner`.\r\n\r\nFeel free to remove these changes, or simply create a new PR that only contains the addition of the dataset"
] |
https://api.github.com/repos/huggingface/datasets/issues/2791 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2791/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2791/comments | https://api.github.com/repos/huggingface/datasets/issues/2791/events | https://github.com/huggingface/datasets/pull/2791 | 968,360,314 | MDExOlB1bGxSZXF1ZXN0NzEwNDgxNDAy | 2,791 | Fix typo in cnn_dailymail | [] | closed | false | null | 0 | 2021-08-12T08:38:42Z | 2021-08-12T11:17:59Z | 2021-08-12T11:17:59Z | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4215 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4215/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4215/comments | https://api.github.com/repos/huggingface/datasets/issues/4215/events | https://github.com/huggingface/datasets/pull/4215 | 1,214,579,162 | PR_kwDODunzps42uuhY | 4,215 | Add `drop_last_batch` to `IterableDataset.map` | [] | closed | false | null | 1 | 2022-04-25T14:15:19Z | 2022-05-03T15:56:07Z | 2022-05-03T15:48:54Z | null | Addresses this comment: https://github.com/huggingface/datasets/pull/3801#pullrequestreview-901736921 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/5451 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5451/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5451/comments | https://api.github.com/repos/huggingface/datasets/issues/5451/events | https://github.com/huggingface/datasets/issues/5451 | 1,552,336,300 | I_kwDODunzps5chsWs | 5,451 | ImageFolder BadZipFile: Bad offset for central directory | [] | closed | false | null | 3 | 2023-01-22T23:50:12Z | 2023-05-23T10:35:48Z | 2023-02-10T16:31:36Z | null | ### Describe the bug
I'm getting the following exception:
```
lib/python3.10/zipfile.py:1353 in _RealGetContents │
│ │
│ 1350 │ │ # self.start_dir: Position of start of central directory │
│ 1351 │ │ self.start_dir = offset_cd + concat │
│ 1352 │ │ if self.start_dir < 0: │
│ ❱ 1353 │ │ │ raise BadZipFile("Bad offset for central directory") │
│ 1354 │ │ fp.seek(self.start_dir, 0) │
│ 1355 │ │ data = fp.read(size_cd) │
│ 1356 │ │ fp = io.BytesIO(data) │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
BadZipFile: Bad offset for central directory
Extracting data files: 35%|█████████████████▊ | 38572/110812 [00:10<00:20, 3576.26it/s]
```
### Steps to reproduce the bug
```
load_dataset(
args.dataset_name,
args.dataset_config_name,
cache_dir=args.cache_dir,
),
```
### Expected behavior
loads the dataset
### Environment info
datasets==2.8.0
Python 3.10.8
Linux 129-146-3-202 5.15.0-52-generic #58~20.04.1-Ubuntu SMP Thu Oct 13 13:09:46 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux | {
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"Hi ! Could you share the full stack trace ? Which dataset did you try to load ?\r\n\r\nit may be related to https://github.com/huggingface/datasets/pull/5640",
"The `BadZipFile` error means the ZIP file is corrupted, so I'm closing this issue as it's not directly related to `datasets`.",
"For others that find ... |
https://api.github.com/repos/huggingface/datasets/issues/5575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5575/comments | https://api.github.com/repos/huggingface/datasets/issues/5575/events | https://github.com/huggingface/datasets/issues/5575 | 1,598,396,552 | I_kwDODunzps5fRZiI | 5,575 | Metadata for each column | [
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} | 3 | 2023-02-24T10:53:44Z | 2023-03-10T17:04:04Z | null | null | ### Feature request
Being able to put some metadata for each column as a string or any other type.
### Motivation
I will bring the motivation by an example, lets say we are experimenting with embedding produced by some image encoder network, and we want to iterate through a couple of preprocessing and see which one works better in our downstream task, here as workaround right now what I do is the compute the hash of the preprocessing that the images went through as part of the new columns name, it would be nice to attach some kinda meta data in these scenarios to the each columns. metadata
### Your contribution
Maybe we could map another relational like database as the metadata? | {
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"Hi! Indeed it would be useful to support this. PyArrow natively supports schema-level and column-level metadata, so implementing this should be straightforward. The API I have in mind would work as follows:\r\n```python\r\ncol_feature = Value(\"string\", metadata=\"Some column-level metadata\")\r\n\r\nfeatures = F... |
https://api.github.com/repos/huggingface/datasets/issues/3560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3560/comments | https://api.github.com/repos/huggingface/datasets/issues/3560/events | https://github.com/huggingface/datasets/pull/3560 | 1,098,280,652 | PR_kwDODunzps4wwOMf | 3,560 | Run pyupgrade for Python 3.6+ | [] | closed | false | null | 3 | 2022-01-10T19:20:53Z | 2022-01-31T13:38:49Z | 2022-01-31T09:37:34Z | null | Run the command:
```bash
pyupgrade $(find . -name "*.py" -type f) --py36-plus
```
Which mainly avoids unnecessary lists creations and also removes unnecessary code for Python 3.6+.
It was originally part of #3489.
Tip for reviewing faster: use the CLI (`git diff`) and scroll. | {
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"Hi ! Thanks for the change :)\r\nCould it be possible to only run it for the code in `src/` ? We try to not change the code in the `datasets/` directory too often since it refreshes the users cache when they upgrade `datasets`.",
"> Hi ! Thanks for the change :)\r\n> Could it be possible to only run it for the c... |
https://api.github.com/repos/huggingface/datasets/issues/3178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3178/comments | https://api.github.com/repos/huggingface/datasets/issues/3178/events | https://github.com/huggingface/datasets/issues/3178 | 1,039,539,076 | I_kwDODunzps499huE | 3,178 | "Property couldn't be hashed properly" even though fully picklable | [
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] | closed | false | null | 23 | 2021-10-29T12:56:09Z | 2023-01-04T15:33:16Z | 2022-11-02T17:18:43Z | null | ## Describe the bug
I am trying to tokenize a dataset with spaCy. I found that no matter what I do, the spaCy language object (`nlp`) prevents `datasets` from pickling correctly - or so the warning says - even though manually pickling is no issue. It should not be an issue either, since spaCy objects are picklable.
## Steps to reproduce the bug
Here is a [colab](https://colab.research.google.com/drive/1gt75LCBIzsmBMvvipEOvWulvyZseBiA7?usp=sharing) but for some reason I cannot reproduce it there. That may have to do with logging/tqdm on Colab, or with running things in notebooks. I tried below code on Windows and Ubuntu as a Python script and getting the same issue (warning below).
```python
import pickle
from datasets import load_dataset
import spacy
class Processor:
def __init__(self):
self.nlp = spacy.load("en_core_web_sm", disable=["tagger", "parser", "ner", "lemmatizer"])
@staticmethod
def collate(batch):
return [d["en"] for d in batch]
def parse(self, batch):
batch = batch["translation"]
return {"translation_tok": [{"en_tok": " ".join([t.text for t in doc])} for doc in self.nlp.pipe(self.collate(batch))]}
def process(self):
ds = load_dataset("wmt16", "de-en", split="train[:10%]")
ds = ds.map(self.parse, batched=True, num_proc=6)
if __name__ == '__main__':
pr = Processor()
# succeeds
with open("temp.pkl", "wb") as f:
pickle.dump(pr, f)
print("Successfully pickled!")
pr.process()
```
---
Here is a small change that includes `Hasher.hash` that shows that the hasher cannot seem to successfully pickle parts form the NLP object.
```python
from datasets.fingerprint import Hasher
import pickle
from datasets import load_dataset
import spacy
class Processor:
def __init__(self):
self.nlp = spacy.load("en_core_web_sm", disable=["tagger", "parser", "ner", "lemmatizer"])
@staticmethod
def collate(batch):
return [d["en"] for d in batch]
def parse(self, batch):
batch = batch["translation"]
return {"translation_tok": [{"en_tok": " ".join([t.text for t in doc])} for doc in self.nlp.pipe(self.collate(batch))]}
def process(self):
ds = load_dataset("wmt16", "de-en", split="train[:10]")
return ds.map(self.parse, batched=True)
if __name__ == '__main__':
pr = Processor()
# succeeds
with open("temp.pkl", "wb") as f:
pickle.dump(pr, f)
print("Successfully pickled class instance!")
# succeeds
with open("temp.pkl", "wb") as f:
pickle.dump(pr.nlp, f)
print("Successfully pickled nlp!")
# fails
print(Hasher.hash(pr.nlp))
pr.process()
```
## Expected results
This to be picklable, working (fingerprinted), and no warning.
## Actual results
In the first snippet, I get this warning
Parameter 'function'=<function Processor.parse at 0x7f44982247a0> of the transform datasets.arrow_dataset.Dataset._map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and caching to work. If you reuse this transform, the caching mechanism will consider it to be different from the previous calls and recompute everything. This warning is only showed once. Subsequent hashing failures won't be showed.
In the second, I get this traceback which directs to the `Hasher.hash` line.
```
Traceback (most recent call last):
File " \Python\Python36\lib\pickle.py", line 918, in save_global
obj2, parent = _getattribute(module, name)
File " \Python\Python36\lib\pickle.py", line 266, in _getattribute
.format(name, obj))
AttributeError: Can't get local attribute 'add_codes.<locals>.ErrorsWithCodes' on <function add_codes at 0x00000296FF606EA0>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File " scratch_4.py", line 40, in <module>
print(Hasher.hash(pr.nlp))
File " \lib\site-packages\datasets\fingerprint.py", line 191, in hash
return cls.hash_default(value)
File " \lib\site-packages\datasets\fingerprint.py", line 184, in hash_default
return cls.hash_bytes(dumps(value))
File " \lib\site-packages\datasets\utils\py_utils.py", line 345, in dumps
dump(obj, file)
File " \lib\site-packages\datasets\utils\py_utils.py", line 320, in dump
Pickler(file, recurse=True).dump(obj)
File " \lib\site-packages\dill\_dill.py", line 498, in dump
StockPickler.dump(self, obj)
File " \Python\Python36\lib\pickle.py", line 409, in dump
self.save(obj)
File " \Python\Python36\lib\pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File " \Python\Python36\lib\pickle.py", line 634, in save_reduce
save(state)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \lib\site-packages\dill\_dill.py", line 990, in save_module_dict
StockPickler.save_dict(pickler, obj)
File " \Python\Python36\lib\pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File " \Python\Python36\lib\pickle.py", line 847, in _batch_setitems
save(v)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \Python\Python36\lib\pickle.py", line 781, in save_list
self._batch_appends(obj)
File " \Python\Python36\lib\pickle.py", line 805, in _batch_appends
save(x)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \Python\Python36\lib\pickle.py", line 736, in save_tuple
save(element)
File " \Python\Python36\lib\pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File " \Python\Python36\lib\pickle.py", line 634, in save_reduce
save(state)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \Python\Python36\lib\pickle.py", line 736, in save_tuple
save(element)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \lib\site-packages\dill\_dill.py", line 990, in save_module_dict
StockPickler.save_dict(pickler, obj)
File " \Python\Python36\lib\pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File " \Python\Python36\lib\pickle.py", line 847, in _batch_setitems
save(v)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \lib\site-packages\dill\_dill.py", line 1176, in save_instancemethod0
pickler.save_reduce(MethodType, (obj.__func__, obj.__self__), obj=obj)
File " \Python\Python36\lib\pickle.py", line 610, in save_reduce
save(args)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \Python\Python36\lib\pickle.py", line 736, in save_tuple
save(element)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \lib\site-packages\datasets\utils\py_utils.py", line 523, in save_function
obj=obj,
File " \Python\Python36\lib\pickle.py", line 610, in save_reduce
save(args)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \Python\Python36\lib\pickle.py", line 751, in save_tuple
save(element)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \lib\site-packages\dill\_dill.py", line 990, in save_module_dict
StockPickler.save_dict(pickler, obj)
File " \Python\Python36\lib\pickle.py", line 821, in save_dict
self._batch_setitems(obj.items())
File " \Python\Python36\lib\pickle.py", line 847, in _batch_setitems
save(v)
File " \Python\Python36\lib\pickle.py", line 521, in save
self.save_reduce(obj=obj, *rv)
File " \Python\Python36\lib\pickle.py", line 605, in save_reduce
save(cls)
File " \Python\Python36\lib\pickle.py", line 476, in save
f(self, obj) # Call unbound method with explicit self
File " \lib\site-packages\dill\_dill.py", line 1439, in save_type
StockPickler.save_global(pickler, obj, name=name)
File " \Python\Python36\lib\pickle.py", line 922, in save_global
(obj, module_name, name))
_pickle.PicklingError: Can't pickle <class 'spacy.errors.add_codes.<locals>.ErrorsWithCodes'>: it's not found as spacy.errors.add_codes.<locals>.ErrorsWithCodes
```
## Environment info
Tried on both Linux and Windows
- `datasets` version: 1.14.0
- Platform: Windows-10-10.0.19041-SP0 + Python 3.7.9; Linux-5.11.0-38-generic-x86_64-with-Ubuntu-20.04-focal + Python 3.7.12
- PyArrow version: 6.0.0
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} | https://api.github.com/repos/huggingface/datasets/issues/3178/timeline | null | completed | null | null | false | [
"After some digging, I found that this is caused by `dill` and using `recurse=True)` when trying to dump the object. The problem also occurs without multiprocessing. I can only find [the following information](https://dill.readthedocs.io/en/latest/dill.html#dill._dill.dumps) about this:\r\n\r\n> If recurse=True, th... |
https://api.github.com/repos/huggingface/datasets/issues/826 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/826/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/826/comments | https://api.github.com/repos/huggingface/datasets/issues/826/events | https://github.com/huggingface/datasets/issues/826 | 739,976,716 | MDU6SXNzdWU3Mzk5NzY3MTY= | 826 | [GEM] Add E2E dataset | [
{
"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request"
}
] | closed | false | null | 0 | 2020-11-10T14:50:40Z | 2020-12-03T13:37:57Z | 2020-12-03T13:37:57Z | null | ## Adding a Dataset
- **Name:** E2E NLG dataset (for End-to-end natural language generation)
- **Description:**a dataset for training end-to-end, datadriven natural language generation systems in the restaurant domain, the datasets consists of 5,751 dialogue-act Meaning Representations (structured data) and 8.1 reference free-text utterances per dialogue-act on average
- **Paper:** https://arxiv.org/pdf/1706.09254.pdf https://arxiv.org/abs/1901.07931
- **Data:** http://www.macs.hw.ac.uk/InteractionLab/E2E/#data
- **Motivation:** This dataset will likely be included in the GEM shared task
Instructions to add a new dataset can be found [here](https://huggingface.co/docs/datasets/share_dataset.html).
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https://api.github.com/repos/huggingface/datasets/issues/2120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2120/comments | https://api.github.com/repos/huggingface/datasets/issues/2120/events | https://github.com/huggingface/datasets/issues/2120 | 841,954,521 | MDU6SXNzdWU4NDE5NTQ1MjE= | 2,120 | dataset viewer does not work anymore | [
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"description": "",
"id": 2107841032,
"name": "nlp-viewer",
"node_id": "MDU6TGFiZWwyMTA3ODQxMDMy",
"url": "https://api.github.com/repos/huggingface/datasets/labels/nlp-viewer"
}
] | closed | false | null | 2 | 2021-03-26T13:22:13Z | 2021-03-26T15:52:22Z | 2021-03-26T15:52:22Z | null | Hi
I normally use this link to see all datasets and how I can load them
https://huggingface.co/datasets/viewer/
Now I am getting
502 Bad Gateway
nginx/1.18.0 (Ubuntu)
could you bring this webpage back ? this was very helpful @lhoestq
thanks for your help | {
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"Thanks for reporting :) We're looking into it",
"Back up. "
] |
https://api.github.com/repos/huggingface/datasets/issues/3221 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3221/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3221/comments | https://api.github.com/repos/huggingface/datasets/issues/3221/events | https://github.com/huggingface/datasets/pull/3221 | 1,045,890,512 | PR_kwDODunzps4uJp4Z | 3,221 | Resolve data_files by split name | [] | closed | false | null | 4 | 2021-11-05T14:07:35Z | 2021-11-08T13:52:20Z | 2021-11-05T17:49:58Z | null | As discussed in https://github.com/huggingface/datasets/issues/3027 we should automatically infer what file is supposed to go to what split automatically, based on filenames.
I added the support for different kinds of patterns, for both dataset repositories and local directories:
```
Input structure:
my_dataset_repository/
├── README.md
└── dataset.csv
Output patterns:
{"train": ["*"]}
```
```
Input structure:
my_dataset_repository/
├── README.md
├── train.csv
└── test.csv
my_dataset_repository/
├── README.md
└── data/
├── train.csv
└── test.csv
my_dataset_repository/
├── README.md
├── train_0.csv
├── train_1.csv
├── train_2.csv
├── train_3.csv
├── test_0.csv
└── test_1.csv
Output patterns:
{"train": ["*train*"], "test": ["*test*"]}
```
```
Input structure:
my_dataset_repository/
├── README.md
└── data/
├── train/
│ ├── shard_0.csv
│ ├── shard_1.csv
│ ├── shard_2.csv
│ └── shard_3.csv
└── test/
├── shard_0.csv
└── shard_1.csv
Output patterns:
{"train": ["*train*/*", "*train*/**/*"], "test": ["*test*/*", "*test*/**/*"]}
```
and also this pattern that allows to have custom split names, and that is the structure used by #3098 for `push_to_hub` (cc @LysandreJik ):
```
Input structure:
my_dataset_repository/
├── README.md
└── data/
├── train-00000-of-00003.csv
├── train-00001-of-00003.csv
├── train-00002-of-00003.csv
├── test-00000-of-00001.csv
├── random-00000-of-00003.csv
├── random-00001-of-00003.csv
└── random-00002-of-00003.csv
Output patterns:
{
"train": ["data/train-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9].*"],
"test": ["data/test-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9].*"],
"random": ["data/random-[0-9][0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9].*"],
}
```
You can check the documentation about structuring your repository [here](https://52640-250213286-gh.circle-artifacts.com/0/docs/_build/html/repository_structure.html). cc @stevhliu
Fix https://github.com/huggingface/datasets/issues/3027
Fix https://github.com/huggingface/datasets/issues/3212
In the future we can also add support for dataset configurations. | {
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"Really cool!\r\nWhen splitting by folder, what do we use for validation set (\"valid\", \"validation\" or both)?",
"> When splitting by folder, what do we use for validation set (\"valid\", \"validation\" or both)?\r\n\r\nBoth are fine :) As soon as it has \"valid\" in it",
"Merging for now, if you have commen... |
https://api.github.com/repos/huggingface/datasets/issues/1993 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1993/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1993/comments | https://api.github.com/repos/huggingface/datasets/issues/1993/events | https://github.com/huggingface/datasets/issues/1993 | 822,758,387 | MDU6SXNzdWU4MjI3NTgzODc= | 1,993 | How to load a dataset with load_from disk and save it again after doing transformations without changing the original? | [] | closed | false | null | 7 | 2021-03-05T05:25:50Z | 2021-03-22T04:05:50Z | 2021-03-22T04:05:50Z | null | I am using the latest datasets library. In my work, I first use **load_from_disk** to load a data set that contains 3.8Gb information. Then during my training process, I update that dataset object and add new elements and save it in a different place.
When I save the dataset with **save_to_disk**, the original dataset which is already in the disk also gets updated. I do not want to update it. How to prevent from this?
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"Hi ! That looks like a bug, can you provide some code so that we can reproduce ?\r\nIt's not supposed to update the original dataset",
"Hi, I experimented with RAG. \r\n\r\nActually, you can run the [use_own_knowldge_dataset.py](https://github.com/shamanez/transformers/blob/rag-end-to-end-retrieval/examples/rese... |
https://api.github.com/repos/huggingface/datasets/issues/5160 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5160/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5160/comments | https://api.github.com/repos/huggingface/datasets/issues/5160/events | https://github.com/huggingface/datasets/issues/5160 | 1,422,193,938 | I_kwDODunzps5UxPUS | 5,160 | Automatically add filename for image/audio folder | [
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] | open | false | null | 10 | 2022-10-25T09:56:49Z | 2022-10-26T16:51:46Z | null | null | ### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset`
In `diffusers` our test rely quite heavily on images and audio files now and it's a bit tedious at the moment to download specific images from a datasets repo.
E.g. we have a dataset of images for tests in `diffusers`: https://huggingface.co/datasets/hf-internal-testing/diffusers-images
where it would be extremely nice to have direct access to the filename both visually on the datasets page (@severo ) as well as via the `load_datasets` function. We currently have some akward functionality to download images by path name: https://github.com/huggingface/diffusers/blob/2fb8fafa4b761f6fc144cf75a6f6f0ea6af3a1c1/src/diffusers/utils/testing_utils.py#L131
It would be much nicer to just go over `load_dataset(...)`
### Motivation
Intuitively the filename is something people understand directly. E.g if you upload a folder of images online, it's nice if you recognize the image as well as the filename next to it directly and that you're able to use it right away.
The label on the other hand is less intuitive to understand as you haven't added it yourself.
### Your contribution
Not sure if I have the time to add it myself anytime soon, but it would help us a lot for `diffusers`. | {
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"Also cc @anton-l ",
"BTW the exact same holds true for the audio folder",
"I'm fine with adding a new column with the file name personally. Not sure how breaking this is though",
"@patrickvonplaten do you mean just filename or full relative path inside the repo?\r\nI think it shouldn't be breaking, at least ... |
https://api.github.com/repos/huggingface/datasets/issues/2168 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2168/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2168/comments | https://api.github.com/repos/huggingface/datasets/issues/2168/events | https://github.com/huggingface/datasets/pull/2168 | 849,957,941 | MDExOlB1bGxSZXF1ZXN0NjA4NjA4Nzg5 | 2,168 | Preserve split type when realoding dataset | [] | closed | false | null | 5 | 2021-04-04T20:46:21Z | 2021-04-19T10:57:05Z | 2021-04-19T09:08:55Z | null | Fixes #2167
Using `eval` is not ideal for security reasons (in web apps I assume), but without it the code would be much more complex IMO.
In terms of style, instead of explicitly importing a private member (`_RelativeInstruction`), we can add these imports at the top of the module:
```python
from . import arrow_reader # gives us access to ReadInstruction and _RelativeInstruction
from . import splits # gives us access to NamedSplit
```
and then define the `eval` globals as follows:
```python
{**arrow_reader.__dict__, **splits.__dict__}
```
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"Thanks for diving into this !\r\n\r\nBefore going further, I just want to make sure if using `eval` is the right solution\r\nPersonally I'm not a big fan of `eval` since it has many security concerns. Also storing string representations of python objects in the json files is not ideal either IMO, so maybe it's pos... |
https://api.github.com/repos/huggingface/datasets/issues/3563 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3563/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3563/comments | https://api.github.com/repos/huggingface/datasets/issues/3563/events | https://github.com/huggingface/datasets/issues/3563 | 1,099,070,368 | I_kwDODunzps5Bgnug | 3,563 | Dataset.from_pandas preserves useless index | [
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] | closed | false | null | 1 | 2022-01-11T12:07:07Z | 2022-01-12T16:11:27Z | 2022-01-12T16:11:27Z | null | ## Describe the bug
Let's say that you want to create a Dataset object from pandas dataframe. Most likely you will write something like this:
```
import pandas as pd
from datasets import Dataset
df = pd.read_csv('some_dataset.csv')
# Some DataFrame preprocessing code...
dataset = Dataset.from_pandas(df)
```
If your preprocessing code contain indexing operations like this:
```
df = df[df.col1 == some_value]
```
then your df.index can be changed from (default) ```RangeIndex(start=0, stop=16590, step=1)``` to something like this ```Int64Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8,
9,
...
83979, 83980, 83981, 83982, 83983, 83984, 83985, 83986, 83987,
83988],
dtype='int64', length=16590)```
In this case, PyArrow (by default) will preserve this non-standard index. In the result, your dataset object will have the extra field that you likely don't want to have: '__index_level_0__'.
You can easily fix this by just adding extra argument ```preserve_index=False``` to call of ```InMemoryTable.from_pandas``` in ```arrow_dataset.py```.
If you approve that this isn't desirable behavior, I can make a PR fixing that.
## Environment info
- `datasets` version: 1.16.1
- Platform: Linux-5.11.0-44-generic-x86_64-with-glibc2.31
- Python version: 3.9.7
- PyArrow version: 6.0.1
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"Hi! That makes sense. Sure, feel free to open a PR! Just a small suggestion: let's make `preserve_index` a parameter of `Dataset.from_pandas` (which we then pass to `InMemoryTable.from_pandas`) with `None` as a default value to not have this as a breaking change. "
] |
https://api.github.com/repos/huggingface/datasets/issues/2805 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2805/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2805/comments | https://api.github.com/repos/huggingface/datasets/issues/2805/events | https://github.com/huggingface/datasets/pull/2805 | 971,436,456 | MDExOlB1bGxSZXF1ZXN0NzEzMTc3MTI4 | 2,805 | Fix streaming zip files from canonical datasets | [] | closed | false | null | 0 | 2021-08-16T07:11:40Z | 2021-08-16T10:34:00Z | 2021-08-16T10:34:00Z | null | Previous PR #2798 fixed streaming remote zip files when passing the parameter `data_files`.
However, that broke streaming zip files used in canonical `datasets` scripts, which normally have a subsequent `join()` (patched with `xjoin()`) after the `StreamingDownloadManager.download_and_extract()` is called.
This PR fixes this issue and allows streaming zip files both from:
- canonical datasets scripts and
- data files. | {
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https://api.github.com/repos/huggingface/datasets/issues/3151 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3151/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3151/comments | https://api.github.com/repos/huggingface/datasets/issues/3151/events | https://github.com/huggingface/datasets/pull/3151 | 1,033,890,501 | PR_kwDODunzps4tkL7t | 3,151 | Re-add faiss to windows testing suite | [] | closed | false | null | 0 | 2021-10-22T19:34:29Z | 2021-11-02T10:47:34Z | 2021-11-02T10:06:03Z | null | In recent versions, `faiss-cpu` seems to be available for Windows as well. See the [PyPi page](https://pypi.org/project/faiss-cpu/#files) to confirm. We can therefore included it for Windows in the setup file.
At first tests didn't pass due to problems with permissions as caused by `NamedTemporaryFile` on Windows. This built-in library is notoriously poor in playing nice on Windows. The required change isn't pretty, but it works. First set `delete=False` to not automatically try to delete the file on `exit`. Then, manually delete the file with `unlink`. It's weird, I know, but it works.
```python
with tempfile.NamedTemporaryFile(delete=False) as tmp_file:
# do stuff
os.unlink(tmp_file.name)
```
closes #3150 | {
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https://api.github.com/repos/huggingface/datasets/issues/935 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/935/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/935/comments | https://api.github.com/repos/huggingface/datasets/issues/935/events | https://github.com/huggingface/datasets/pull/935 | 753,863,055 | MDExOlB1bGxSZXF1ZXN0NTI5ODU5MjM4 | 935 | add PIB dataset | [] | closed | false | null | 4 | 2020-11-30T22:55:43Z | 2020-12-01T23:17:11Z | 2020-12-01T23:17:11Z | null | This pull request will add PIB dataset. | {
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"Hi, \r\n\r\nI am unable to get success in these tests. Can someone help me by pointing out possible errors?\r\n\r\nThanks",
"Hi ! you can read the tests by logging in to circleci.\r\n\r\nAnyway for information here are the errors : \r\n```\r\ndatasets/pib/pib.py:19:1: F401 'csv' imported but unused\r\ndatasets/p... |
https://api.github.com/repos/huggingface/datasets/issues/1403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1403/comments | https://api.github.com/repos/huggingface/datasets/issues/1403/events | https://github.com/huggingface/datasets/pull/1403 | 760,571,419 | MDExOlB1bGxSZXF1ZXN0NTM1MzgxMzQ3 | 1,403 | Add dataset clickbait_news_bg | [] | closed | false | null | 1 | 2020-12-09T18:32:12Z | 2020-12-10T09:16:44Z | 2020-12-10T09:16:43Z | null | Adding a new dataset - clickbait_news_bg | {
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"Closing this pull request, will submit a new one for this dataset."
] |
https://api.github.com/repos/huggingface/datasets/issues/873 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/873/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/873/comments | https://api.github.com/repos/huggingface/datasets/issues/873/events | https://github.com/huggingface/datasets/issues/873 | 747,959,523 | MDU6SXNzdWU3NDc5NTk1MjM= | 873 | load_dataset('cnn_dalymail', '3.0.0') gives a 'Not a directory' error | [] | closed | false | null | 12 | 2020-11-21T06:30:45Z | 2022-05-05T07:19:59Z | 2020-11-22T12:18:05Z | null | ```
from datasets import load_dataset
dataset = load_dataset('cnn_dailymail', '3.0.0')
```
Stack trace:
```
---------------------------------------------------------------------------
NotADirectoryError Traceback (most recent call last)
<ipython-input-6-2e06a8332652> in <module>()
1 from datasets import load_dataset
----> 2 dataset = load_dataset('cnn_dailymail', '3.0.0')
5 frames
/usr/local/lib/python3.6/dist-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, save_infos, script_version, **config_kwargs)
608 download_config=download_config,
609 download_mode=download_mode,
--> 610 ignore_verifications=ignore_verifications,
611 )
612
/usr/local/lib/python3.6/dist-packages/datasets/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
513 if not downloaded_from_gcs:
514 self._download_and_prepare(
--> 515 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
516 )
517 # Sync info
/usr/local/lib/python3.6/dist-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
568 split_dict = SplitDict(dataset_name=self.name)
569 split_generators_kwargs = self._make_split_generators_kwargs(prepare_split_kwargs)
--> 570 split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
571
572 # Checksums verification
/root/.cache/huggingface/modules/datasets_modules/datasets/cnn_dailymail/0128610a44e10f25b4af6689441c72af86205282d26399642f7db38fa7535602/cnn_dailymail.py in _split_generators(self, dl_manager)
252 def _split_generators(self, dl_manager):
253 dl_paths = dl_manager.download_and_extract(_DL_URLS)
--> 254 train_files = _subset_filenames(dl_paths, datasets.Split.TRAIN)
255 # Generate shared vocabulary
256
/root/.cache/huggingface/modules/datasets_modules/datasets/cnn_dailymail/0128610a44e10f25b4af6689441c72af86205282d26399642f7db38fa7535602/cnn_dailymail.py in _subset_filenames(dl_paths, split)
153 else:
154 logging.fatal("Unsupported split: %s", split)
--> 155 cnn = _find_files(dl_paths, "cnn", urls)
156 dm = _find_files(dl_paths, "dm", urls)
157 return cnn + dm
/root/.cache/huggingface/modules/datasets_modules/datasets/cnn_dailymail/0128610a44e10f25b4af6689441c72af86205282d26399642f7db38fa7535602/cnn_dailymail.py in _find_files(dl_paths, publisher, url_dict)
132 else:
133 logging.fatal("Unsupported publisher: %s", publisher)
--> 134 files = sorted(os.listdir(top_dir))
135
136 ret_files = []
NotADirectoryError: [Errno 20] Not a directory: '/root/.cache/huggingface/datasets/downloads/1bc05d24fa6dda2468e83a73cf6dc207226e01e3c48a507ea716dc0421da583b/cnn/stories'
```
I have ran the code on Google Colab | {
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"I get the same error. It was fixed some days ago, but again it appears",
"Hi @mrm8488 it's working again today without any fix so I am closing this issue.",
"I see the issue happening again today - \r\n\r\n[nltk_data] Downloading package stopwords to /root/nltk_data...\r\n[nltk_data] Package stopwords is alr... |
https://api.github.com/repos/huggingface/datasets/issues/333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/333/comments | https://api.github.com/repos/huggingface/datasets/issues/333/events | https://github.com/huggingface/datasets/pull/333 | 649,236,516 | MDExOlB1bGxSZXF1ZXN0NDQyOTE1NDQ0 | 333 | fix variable name typo | [] | closed | false | null | 2 | 2020-07-01T19:13:50Z | 2020-07-24T15:43:31Z | 2020-07-24T08:32:16Z | null | {
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"Good catch :)\r\nI think there is another occurence that needs to be fixed in the second gist (line 4924 of the notebook file):\r\n```python\r\nbleu = nlp.load_metric(...)\r\n```",
"Was fixed in e16f79b5f7fc12a6a30c777722be46897a272e6f\r\nClosing it."
] | |
https://api.github.com/repos/huggingface/datasets/issues/751 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/751/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/751/comments | https://api.github.com/repos/huggingface/datasets/issues/751/events | https://github.com/huggingface/datasets/issues/751 | 726,820,191 | MDU6SXNzdWU3MjY4MjAxOTE= | 751 | Error loading ms_marco v2.1 using load_dataset() | [] | closed | false | null | 3 | 2020-10-21T19:54:43Z | 2020-11-05T01:31:57Z | 2020-11-05T01:31:57Z | null | Code:
`dataset = load_dataset('ms_marco', 'v2.1')`
Error:
```
`---------------------------------------------------------------------------
JSONDecodeError Traceback (most recent call last)
<ipython-input-16-34378c057212> in <module>()
9
10 # Downloading and loading a dataset
---> 11 dataset = load_dataset('ms_marco', 'v2.1')
10 frames
/usr/lib/python3.6/json/decoder.py in raw_decode(self, s, idx)
353 """
354 try:
--> 355 obj, end = self.scan_once(s, idx)
356 except StopIteration as err:
357 raise JSONDecodeError("Expecting value", s, err.value) from None
JSONDecodeError: Unterminated string starting at: line 1 column 388988661 (char 388988660)
`
``` | {
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"There was a similar issue in #294 \r\nClearing the cache and download again the dataset did the job. Could you try to clear your cache and download the dataset again ?",
"I was able to load the dataset successfully, I'm pretty sure it's just a cache issue that you have.\r\nLet me know if clearing your cache fixe... |
https://api.github.com/repos/huggingface/datasets/issues/3857 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3857/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3857/comments | https://api.github.com/repos/huggingface/datasets/issues/3857/events | https://github.com/huggingface/datasets/issues/3857 | 1,162,525,353 | I_kwDODunzps5FSrqp | 3,857 | Order of dataset changes due to glob.glob. | [
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] | open | false | null | 1 | 2022-03-08T11:10:30Z | 2022-03-14T11:08:22Z | null | null | ## Describe the bug
After discussion with @lhoestq, just want to mention here that `glob.glob(...)` should always be used in combination with `sorted(...)` to make sure the list of files returned by `glob.glob(...)` doesn't change depending on the OS system.
There are currently multiple datasets that use `glob.glob()` without making use of `sorted(...)` even the streaming download manager (if I'm not mistaken):
https://github.com/huggingface/datasets/blob/c14bfeb4af89da14f870de5ddaa584b08aa08eeb/src/datasets/utils/streaming_download_manager.py#L483 | {
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} | https://api.github.com/repos/huggingface/datasets/issues/3857/timeline | null | null | null | null | false | [
"I agree using `glob.glob` alone is bad practice because it's not deterministic. Using `sorted` is a nice solution.\r\n\r\nNote that the `xglob` function you are referring to in the `streaming_download_manager.py` code just extends `glob.glob` for URLs - we don't change its behavior. That's why it has no `sorted()`... |
https://api.github.com/repos/huggingface/datasets/issues/3784 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3784/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3784/comments | https://api.github.com/repos/huggingface/datasets/issues/3784/events | https://github.com/huggingface/datasets/issues/3784 | 1,150,057,955 | I_kwDODunzps5EjH3j | 3,784 | Unable to Download CNN-Dailymail Dataset | [
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] | closed | false | null | 4 | 2022-02-25T05:24:47Z | 2022-03-03T14:05:17Z | 2022-03-03T14:05:17Z | null | ## Describe the bug
I am unable to download the CNN-Dailymail dataset. Upon closer investigation, I realised why this was happening:
- The dataset sits in Google Drive, and both the CNN and DM datasets are large.
- Google is unable to scan the folder for viruses, **so the link which would originally download the dataset, now downloads the source code of this web page:**
- **This leads to the following error**:
```python
NotADirectoryError: [Errno 20] Not a directory: '/root/.cache/huggingface/datasets/downloads/1bc05d24fa6dda2468e83a73cf6dc207226e01e3c48a507ea716dc0421da583b/cnn/stories'
```
## Steps to reproduce the bug
```python
import datasets
dataset = datasets.load_dataset("cnn_dailymail", "3.0.0", split="train")
```
## Expected results
That the dataset is downloaded and processed just like other datasets.
## Actual results
Hit with this error:
```python
NotADirectoryError: [Errno 20] Not a directory: '/root/.cache/huggingface/datasets/downloads/1bc05d24fa6dda2468e83a73cf6dc207226e01e3c48a507ea716dc0421da583b/cnn/stories'
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.18.3
- Platform: Linux-5.4.144+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.12
- PyArrow version: 6.0.1
| {
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"#self-assign",
"@AngadSethi thanks for reporting and thanks for your PR!",
"Glad to help @albertvillanova! Just fine-tuning the PR, will comment once I am able to get it up and running 😀",
"Fixed by:\r\n- #3787"
] |
https://api.github.com/repos/huggingface/datasets/issues/1220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1220/comments | https://api.github.com/repos/huggingface/datasets/issues/1220/events | https://github.com/huggingface/datasets/pull/1220 | 758,015,894 | MDExOlB1bGxSZXF1ZXN0NTMzMjYxNTgw | 1,220 | add Korean HateSpeech dataset | [] | closed | false | null | 5 | 2020-12-06T20:31:29Z | 2020-12-08T15:21:09Z | 2020-12-08T11:05:42Z | null | {
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"It looks like you forgot to `make style` (I forget it a lot too 🤦 )\r\n+ add dummy data",
"hi @cceyda 👋, thanks for the hint! it looks like i've run into some other errors though in `_split_generators` or `_generate_examples`. do you have any idea of what's wrong here? 😅",
"I get the same errors on another... | |
https://api.github.com/repos/huggingface/datasets/issues/5034 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5034/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5034/comments | https://api.github.com/repos/huggingface/datasets/issues/5034/events | https://github.com/huggingface/datasets/pull/5034 | 1,388,855,136 | PR_kwDODunzps4_wJCu | 5,034 | Update README.md of yahoo_answers_topics dataset | [] | closed | false | null | 4 | 2022-09-28T07:17:33Z | 2022-10-06T15:56:05Z | 2022-10-04T13:49:25Z | null | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5034). All of your documentation changes will be reflected on that endpoint.",
"Thanks, @borgr. We have removed all dataset scripts from this repo. Subsequent PRs should be opened directly on the Hugging Face Hub.",
"Do you m... |
https://api.github.com/repos/huggingface/datasets/issues/1407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1407/comments | https://api.github.com/repos/huggingface/datasets/issues/1407/events | https://github.com/huggingface/datasets/pull/1407 | 760,581,756 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg5ODQx | 1,407 | Add Tweet Eval Dataset | [] | closed | false | null | 4 | 2020-12-09T18:48:57Z | 2021-02-26T08:54:04Z | 2021-02-26T08:54:04Z | null | {
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"Hi @lhoestq,\r\n\r\nSeeing that it has been almost two months to this draft, I'm willing to take this forward if you and @abhishekkrthakur don't mind. :)",
"Hi @gchhablani !\r\nSure if @abhishekkrthakur doesn't mind\r\nThanks for your help :)",
"Please feel free :) ",
"Hi @lhoestq, @abhishekkrthakur \r\n\r\n... | |
https://api.github.com/repos/huggingface/datasets/issues/522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/522/comments | https://api.github.com/repos/huggingface/datasets/issues/522/events | https://github.com/huggingface/datasets/issues/522 | 682,478,833 | MDU6SXNzdWU2ODI0Nzg4MzM= | 522 | dictionnary typo in docs | [] | closed | false | null | 1 | 2020-08-20T07:11:05Z | 2020-08-20T07:52:14Z | 2020-08-20T07:52:13Z | null | Many places dictionary is spelled dictionnary, not sure if its on purpose or not.
Fixed in this pr:
https://github.com/huggingface/nlp/pull/521 | {
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"Thanks!"
] |
https://api.github.com/repos/huggingface/datasets/issues/89 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/89/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/89/comments | https://api.github.com/repos/huggingface/datasets/issues/89/events | https://github.com/huggingface/datasets/pull/89 | 617,295,069 | MDExOlB1bGxSZXF1ZXN0NDE3MjM4MjU4 | 89 | Add list and inspect methods - cleanup hf_api | [] | closed | false | null | 0 | 2020-05-13T09:30:15Z | 2020-05-13T14:05:00Z | 2020-05-13T09:33:10Z | null | Add a bunch of methods to easily list and inspect the processing scripts up-loaded on S3:
```python
nlp.list_datasets()
nlp.list_metrics()
# Copy and prepare the scripts at `local_path` for easy inspection/modification.
nlp.inspect_dataset(path, local_path)
# Copy and prepare the scripts at `local_path` for easy inspection/modification.
nlp.inspect_metric(path, local_path)
```
Also clean up the `HfAPI` to use `dataclasses` for better user-experience | {
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https://api.github.com/repos/huggingface/datasets/issues/2724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2724/comments | https://api.github.com/repos/huggingface/datasets/issues/2724/events | https://github.com/huggingface/datasets/issues/2724 | 954,919,607 | MDU6SXNzdWU5NTQ5MTk2MDc= | 2,724 | 404 Error when loading remote data files from private repo | [
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] | closed | false | null | 3 | 2021-07-28T14:24:23Z | 2021-07-29T04:58:49Z | 2021-07-28T16:38:01Z | null | ## Describe the bug
When loading remote data files from a private repo, a 404 error is raised.
## Steps to reproduce the bug
```python
url = hf_hub_url("lewtun/asr-preds-test", "preds.jsonl", repo_type="dataset")
dset = load_dataset("json", data_files=url, use_auth_token=True)
# HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/datasets/lewtun/asr-preds-test/resolve/main/preds.jsonl
```
## Expected results
Load dataset.
## Actual results
404 Error.
| {
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"I guess the issue is when computing the ETags of the remote files. Indeed `use_auth_token` must be passed to `request_etags` here:\r\n\r\nhttps://github.com/huggingface/datasets/blob/35b5e4bc0cb2ed896e40f3eb2a4aa3de1cb1a6c5/src/datasets/builder.py#L160-L160",
"Yes, I remember having properly implemented that: \r... |
https://api.github.com/repos/huggingface/datasets/issues/1260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1260/comments | https://api.github.com/repos/huggingface/datasets/issues/1260/events | https://github.com/huggingface/datasets/pull/1260 | 758,601,828 | MDExOlB1bGxSZXF1ZXN0NTMzNzQ4ODM3 | 1,260 | Added NewsPH Raw Dataset | [] | closed | false | null | 1 | 2020-12-07T15:17:53Z | 2020-12-08T16:27:15Z | 2020-12-08T16:27:15Z | null | Added the raw version of the NewsPH dataset, which was used to automatically generate the NewsPH-NLI corpus. Dataset of news articles in Filipino from mainstream Philippine news sites on the internet. Can be used as a language modeling dataset or to reproduce the NewsPH-NLI dataset.
Paper: https://arxiv.org/abs/2010.11574
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks | {
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"looks like this PR has changes to many files other than the ones for `NewsPH`\r\n\r\nCan you create another branch and another PR please ?"
] |
https://api.github.com/repos/huggingface/datasets/issues/5975 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5975/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5975/comments | https://api.github.com/repos/huggingface/datasets/issues/5975/events | https://github.com/huggingface/datasets/issues/5975 | 1,768,271,343 | I_kwDODunzps5pZa3v | 5,975 | Streaming Dataset behind Proxy - FileNotFoundError | [] | closed | false | null | 9 | 2023-06-21T19:10:02Z | 2023-06-30T05:55:39Z | 2023-06-30T05:55:38Z | null | ### Describe the bug
When trying to stream a dataset i get the following error after a few minutes of waiting.
```
FileNotFoundError: https://huggingface.co/datasets/facebook/voxpopuli/resolve/main/data/n_files.json
If the repo is private or gated, make sure to log in with `huggingface-cli login`.
```
I have already set the proxy environment variables. Downloading a Dataset without streaming works as expected.
Still i suspect that this is connected to being behind a proxy.
Is there a way to set the proxy for streaming datasets? Possibly a keyword argument that gets passed to ffspec?
### Steps to reproduce the bug
This is the code i use.
```
import os
os.environ['http_proxy'] = "http://example.com:xxxx"
os.environ['https_proxy'] = "http://example.com:xxxx"
from datasets import load_dataset
ds = load_dataset("facebook/voxpopuli", name="de", streaming=True)
```
### Expected behavior
I would expect the streaming functionality to use the set proxy settings.
### Environment info
- `datasets` version: 2.13.0
- Platform: Linux-5.15.0-73-generic-x86_64-with-glibc2.35
- Python version: 3.10.11
- Huggingface_hub version: 0.15.1
- PyArrow version: 11.0.0
- Pandas version: 2.0.2
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"Duplicate of #",
"Hi ! can you try to set the upper case environment variables `HTTP_PROXY` and `HTTPS_PROXY` ?\r\n\r\nWe use `aiohttp` for streaming and it uses case sensitive environment variables",
"Hi, thanks for the quick reply.\r\n\r\nI set the uppercase env variables with\r\n\r\n`\r\nos.environ['HTTP_PR... |
https://api.github.com/repos/huggingface/datasets/issues/5061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5061/comments | https://api.github.com/repos/huggingface/datasets/issues/5061/events | https://github.com/huggingface/datasets/issues/5061 | 1,395,476,770 | I_kwDODunzps5TLUki | 5,061 | `_pickle.PicklingError: logger cannot be pickled` in multiprocessing `map` | [
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] | closed | false | null | 6 | 2022-10-03T23:51:38Z | 2023-07-21T14:43:35Z | 2023-07-21T14:43:34Z | null | ## Describe the bug
When I `map` with multiple processes, this error occurs. The `.name` of the `logger` that fails to pickle in the final line is `datasets.fingerprint`.
```
File "~/project/dataset.py", line 204, in <dictcomp>
split: dataset.map(
File ".../site-packages/datasets/arrow_dataset.py", line 2489, in map
transformed_shards[index] = async_result.get()
File ".../site-packages/multiprocess/pool.py", line 771, in get
raise self._value
File ".../site-packages/multiprocess/pool.py", line 537, in _handle_tasks
put(task)
File ".../site-packages/multiprocess/connection.py", line 214, in send
self._send_bytes(_ForkingPickler.dumps(obj))
File ".../site-packages/multiprocess/reduction.py", line 54, in dumps
cls(buf, protocol, *args, **kwds).dump(obj)
File ".../site-packages/dill/_dill.py", line 620, in dump
StockPickler.dump(self, obj)
File ".../pickle.py", line 487, in dump
self.save(obj)
File ".../pickle.py", line 560, in save
f(self, obj) # Call unbound method with explicit self
File ".../pickle.py", line 902, in save_tuple
save(element)
File ".../pickle.py", line 560, in save
f(self, obj) # Call unbound method with explicit self
File ".../site-packages/dill/_dill.py", line 1963, in save_function
_save_with_postproc(pickler, (_create_function, (
File ".../site-packages/dill/_dill.py", line 1140, in _save_with_postproc
pickler.save_reduce(*reduction, obj=obj)
File ".../pickle.py", line 717, in save_reduce
save(state)
File ".../pickle.py", line 560, in save
f(self, obj) # Call unbound method with explicit self
File ".../pickle.py", line 887, in save_tuple
save(element)
File ".../pickle.py", line 560, in save
f(self, obj) # Call unbound method with explicit self
File ".../site-packages/dill/_dill.py", line 1251, in save_module_dict
StockPickler.save_dict(pickler, obj)
File ".../pickle.py", line 972, in save_dict
self._batch_setitems(obj.items())
File ".../pickle.py", line 998, in _batch_setitems
save(v)
File ".../pickle.py", line 560, in save
f(self, obj) # Call unbound method with explicit self
File ".../site-packages/dill/_dill.py", line 1963, in save_function
_save_with_postproc(pickler, (_create_function, (
File ".../site-packages/dill/_dill.py", line 1140, in _save_with_postproc
pickler.save_reduce(*reduction, obj=obj)
File ".../pickle.py", line 717, in save_reduce
save(state)
File ".../pickle.py", line 560, in save
f(self, obj) # Call unbound method with explicit self
File ".../pickle.py", line 887, in save_tuple
save(element)
File ".../pickle.py", line 560, in save
f(self, obj) # Call unbound method with explicit self
File ".../site-packages/dill/_dill.py", line 1251, in save_module_dict
StockPickler.save_dict(pickler, obj)
File ".../pickle.py", line 972, in save_dict
self._batch_setitems(obj.items())
File ".../pickle.py", line 998, in _batch_setitems
save(v)
File ".../pickle.py", line 560, in save
f(self, obj) # Call unbound method with explicit self
File ".../site-packages/dill/_dill.py", line 1963, in save_function
_save_with_postproc(pickler, (_create_function, (
File ".../site-packages/dill/_dill.py", line 1154, in _save_with_postproc
pickler._batch_setitems(iter(source.items()))
File ".../pickle.py", line 998, in _batch_setitems
save(v)
File ".../pickle.py", line 578, in save
rv = reduce(self.proto)
File ".../logging/__init__.py", line 1774, in __reduce__
raise pickle.PicklingError('logger cannot be pickled')
_pickle.PicklingError: logger cannot be pickled
```
## Steps to reproduce the bug
Sorry I failed to have a minimal reproducible example, but the offending line on my end is
```python
dataset.map(
lambda examples: self.tokenize(examples), # this doesn't matter, lambda e: [1] * len(...) also breaks. In fact I'm pretty sure it breaks before executing this lambda
batched=True,
num_proc=4,
)
```
This does work when `num_proc=1`, so it's likely a multiprocessing thing.
## Expected results
`map` succeeds
## Actual results
The error trace above.
## Environment info
- `datasets` version: 1.16.1 and 2.5.1 both failed
- Platform: Ubuntu 20.04.4 LTS
- Python version: 3.10.4
- PyArrow version: 9.0.0
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"This is maybe related to python 3.10, do you think you could try on 3.8 ?\r\n\r\nIn the meantime we'll keep improving the support for 3.10. Let me add a dedicated CI",
"I did some binary search and seems like the root cause is either `multiprocess` or `dill`. python 3.10 is fine. Specifically:\r\n- `multiprocess... |
https://api.github.com/repos/huggingface/datasets/issues/2258 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2258/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2258/comments | https://api.github.com/repos/huggingface/datasets/issues/2258/events | https://github.com/huggingface/datasets/pull/2258 | 866,870,588 | MDExOlB1bGxSZXF1ZXN0NjIyNjcxNTQy | 2,258 | Fix incorrect update_metadata_with_features calls in ArrowDataset | [] | closed | false | null | 1 | 2021-04-25T00:48:38Z | 2021-04-26T17:16:30Z | 2021-04-26T16:54:04Z | null | Fixes bugs in the `unpdate_metadata_with_features` calls (caused by changes in #2151) | {
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"@lhoestq Maybe a test that runs the functions that call `update_metadata_with_features` and checks if metadata was updated would be nice to prevent this from happening in the future."
] |
https://api.github.com/repos/huggingface/datasets/issues/3908 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3908/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3908/comments | https://api.github.com/repos/huggingface/datasets/issues/3908/events | https://github.com/huggingface/datasets/pull/3908 | 1,168,576,963 | PR_kwDODunzps40Z_9F | 3,908 | Update README.md for SQuAD v2 metric | [] | closed | false | null | 1 | 2022-03-14T15:53:10Z | 2022-03-15T17:04:11Z | 2022-03-15T17:04:11Z | null | Putting "Values from popular papers" as a subsection of "Output values" | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3908). All of your documentation changes will be reflected on that endpoint."
] |
https://api.github.com/repos/huggingface/datasets/issues/4001 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4001/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4001/comments | https://api.github.com/repos/huggingface/datasets/issues/4001/events | https://github.com/huggingface/datasets/issues/4001 | 1,179,231,418 | I_kwDODunzps5GSaS6 | 4,001 | How to use generate this multitask dataset for SQUAD? I am getting a value error. | [] | closed | false | null | 4 | 2022-03-24T09:21:51Z | 2022-03-26T09:48:21Z | 2022-03-26T03:35:43Z | null | ## Dataset viewer issue for 'squad_multitask*'
**Link:** https://huggingface.co/datasets/vershasaxena91/squad_multitask
*short description of the issue*
I am trying to generate the multitask dataset for squad dataset. However, gives the error in dataset explorer as well as my local machine.
I tried the command: dataset = load_dataset("vershasaxena91/squad_multitask", 'highlight_qg_format')
Error:
Status code: 400
Exception: TypeError
Message: argument of type 'Value' is not iterable
Kindly advice.
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} | https://api.github.com/repos/huggingface/datasets/issues/4001/timeline | null | completed | null | null | false | [
"Hi! Replacing `nlp.<obj>` with `datasets.<obj>` in the script should fix the problem. `nlp` has been renamed to `datasets` more than a year ago, so please use `datasets` instead to avoid weird issues.",
"Thank You! Was able to solve with the help of this.",
"But I request you to please fix the same in the data... |
https://api.github.com/repos/huggingface/datasets/issues/2689 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2689/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2689/comments | https://api.github.com/repos/huggingface/datasets/issues/2689/events | https://github.com/huggingface/datasets/issues/2689 | 949,447,104 | MDU6SXNzdWU5NDk0NDcxMDQ= | 2,689 | cannot save the dataset to disk after rename_column | [
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] | closed | false | null | 2 | 2021-07-21T08:13:40Z | 2021-07-21T13:11:04Z | 2021-07-21T13:11:04Z | null | ## Describe the bug
If you use `rename_column` and do no other modification, you will be unable to save the dataset using `save_to_disk`
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
In [1]: from datasets import Dataset, load_from_disk
In [5]: dataset=Dataset.from_dict({'foo': [0]})
In [7]: dataset.save_to_disk('foo')
In [8]: dataset=load_from_disk('foo')
In [10]: dataset=dataset.rename_column('foo', 'bar')
In [11]: dataset.save_to_disk('foo')
---------------------------------------------------------------------------
PermissionError Traceback (most recent call last)
<ipython-input-11-a3bc0d4fc339> in <module>
----> 1 dataset.save_to_disk('foo')
/mnt/beegfs/projects/meerqat/anaconda3/envs/meerqat/lib/python3.7/site-packages/datasets/arrow_dataset.py in save_to_disk(self, dataset_path
, fs)
597 if Path(dataset_path, config.DATASET_ARROW_FILENAME) in cache_files_paths:
598 raise PermissionError(
--> 599 f"Tried to overwrite {Path(dataset_path, config.DATASET_ARROW_FILENAME)} but a dataset can't overwrite itself."
600 )
601 if Path(dataset_path, config.DATASET_INDICES_FILENAME) in cache_files_paths:
PermissionError: Tried to overwrite foo/dataset.arrow but a dataset can't overwrite itself.
```
N. B. I created the dataset from dict to enable easy reproduction but the same happens if you load an existing dataset (e.g. starting from `In [8]`)
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.8.0
- Platform: Linux-3.10.0-1160.11.1.el7.x86_64-x86_64-with-centos-7.9.2009-Core
- Python version: 3.7.10
- PyArrow version: 3.0.0
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} | https://api.github.com/repos/huggingface/datasets/issues/2689/timeline | null | completed | null | null | false | [
"Hi ! That's because you are trying to overwrite a file that is already open and being used.\r\nIndeed `foo/dataset.arrow` is open and used by your `dataset` object.\r\n\r\nWhen you do `rename_column`, the resulting dataset reads the data from the same arrow file.\r\nIn other cases like when using `map` on the othe... |
https://api.github.com/repos/huggingface/datasets/issues/4525 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4525/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4525/comments | https://api.github.com/repos/huggingface/datasets/issues/4525/events | https://github.com/huggingface/datasets/issues/4525 | 1,276,491,386 | I_kwDODunzps5MFbZ6 | 4,525 | Out of memory error on workers while running Beam+Dataflow | [
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] | open | false | null | 8 | 2022-06-20T07:28:12Z | 2022-06-30T09:33:57Z | null | null | ## Describe the bug
While running the preprocessing of the natural_question dataset (see PR #4368), there is an issue for the "default" config (train+dev files).
Previously we ran the preprocessing for the "dev" config (only dev files) with success.
Train data files are larger than dev ones and apparently workers run out of memory while processing them.
Any help/hint is welcome!
Error message:
```
Data channel closed, unable to receive additional data from SDK sdk-0-0
```
Info from the Diagnostics tab:
```
Out of memory: Killed process 1882 (python) total-vm:6041764kB, anon-rss:3290928kB, file-rss:0kB, shmem-rss:0kB, UID:0 pgtables:9520kB oom_score_adj:900
The worker VM had to shut down one or more processes due to lack of memory.
```
## Additional information
### Stack trace
```
Traceback (most recent call last):
File "/home/albert_huggingface_co/natural_questions/venv/bin/datasets-cli", line 8, in <module>
sys.exit(main())
File "/home/albert_huggingface_co/natural_questions/venv/lib/python3.9/site-packages/datasets/commands/datasets_cli.py", line 39, in main
service.run()
File "/home/albert_huggingface_co/natural_questions/venv/lib/python3.9/site-packages/datasets/commands/run_beam.py", line 127, in run
builder.download_and_prepare(
File "/home/albert_huggingface_co/natural_questions/venv/lib/python3.9/site-packages/datasets/builder.py", line 704, in download_and_prepare
self._download_and_prepare(
File "/home/albert_huggingface_co/natural_questions/venv/lib/python3.9/site-packages/datasets/builder.py", line 1389, in _download_and_prepare
pipeline_results.wait_until_finish()
File "/home/albert_huggingface_co/natural_questions/venv/lib/python3.9/site-packages/apache_beam/runners/dataflow/dataflow_runner.py", line 1667, in wait_until_finish
raise DataflowRuntimeException(
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:
Data channel closed, unable to receive additional data from SDK sdk-0-0
```
### Logs
```
Error message from worker: Data channel closed, unable to receive additional data from SDK sdk-0-0
Workflow failed. Causes: S30:train/ReadAllFromText/ReadAllFiles/Reshard/ReshufflePerKey/GroupByKey/Read+train/ReadAllFromText/ReadAllFiles/Reshard/ReshufflePerKey/GroupByKey/GroupByWindow+train/ReadAllFromText/ReadAllFiles/Reshard/ReshufflePerKey/FlatMap(restore_timestamps)+train/ReadAllFromText/ReadAllFiles/Reshard/RemoveRandomKeys+train/ReadAllFromText/ReadAllFiles/ReadRange+train/Map(_parse_example)+train/Encode+train/Count N. Examples+train/Get values/Values+train/Save to parquet/Write/WriteImpl/WindowInto(WindowIntoFn)+train/Save to parquet/Write/WriteImpl/WriteBundles+train/Save to parquet/Write/WriteImpl/Pair+train/Save to parquet/Write/WriteImpl/GroupByKey/Write failed., The job failed because a work item has failed 4 times. Look in previous log entries for the cause of each one of the 4 failures. For more information, see https://cloud.google.com/dataflow/docs/guides/common-errors. The work item was attempted on these workers: beamapp-alberthuggingface-06170554-5p23-harness-t4v9 Root cause: Data channel closed, unable to receive additional data from SDK sdk-0-0, beamapp-alberthuggingface-06170554-5p23-harness-t4v9 Root cause: The worker lost contact with the service., beamapp-alberthuggingface-06170554-5p23-harness-bwsj Root cause: The worker lost contact with the service., beamapp-alberthuggingface-06170554-5p23-harness-5052 Root cause: The worker lost contact with the service.
```
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} | https://api.github.com/repos/huggingface/datasets/issues/4525/timeline | null | null | null | null | false | [
"Some naive ideas to cope with this:\r\n- enable more RAM on each worker\r\n- force the spanning of more workers\r\n- others?",
"@albertvillanova We were finally able to process the full NQ dataset on our machines using 600 gb with 5 workers. Maybe these numbers will work for you as well.",
"Thanks a lot for th... |
https://api.github.com/repos/huggingface/datasets/issues/4570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4570/comments | https://api.github.com/repos/huggingface/datasets/issues/4570/events | https://github.com/huggingface/datasets/issues/4570 | 1,284,846,168 | I_kwDODunzps5MlTJY | 4,570 | Dataset sharding non-contiguous? | [
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] | closed | false | null | 5 | 2022-06-26T08:34:05Z | 2022-06-30T11:00:47Z | 2022-06-26T14:36:20Z | null | ## Describe the bug
I'm not sure if this is a bug; more likely normal behavior but i wanted to double check.
Is it normal that `datasets.shard` does not produce chunks that, when concatenated produce the original ordering of the sharded dataset?
This might be related to this pull request (https://github.com/huggingface/datasets/pull/4466) but I have to admit I did not properly look into the changes made.
## Steps to reproduce the bug
```python
max_shard_size = convert_file_size_to_int('300MB')
dataset_nbytes = dataset.data.nbytes
num_shards = int(dataset_nbytes / max_shard_size) + 1
num_shards = max(num_shards, 1)
print(f"{num_shards=}")
for shard_index in range(num_shards):
shard = dataset.shard(num_shards=num_shards, index=shard_index)
shard.to_parquet(f"tokenized/tokenized-{shard_index:03d}.parquet")
os.listdir('tokenized/')
```
## Expected results
I expected the shards to match the order of the data of the original dataset; i.e. `dataset[10]` being the same as `shard_1[10]` for example
## Actual results
Only the first element is the same; i.e. `dataset[0]` is the same as `shard_1[0]`
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.3.2
- Platform: Linux-4.15.0-176-generic-x86_64-with-glibc2.31
- Python version: 3.10.4
- PyArrow version: 8.0.0
- Pandas version: 1.4.2
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"This was silly; I was sure I'd looked for a `contiguous` argument, and was certain there wasn't one the first time I looked :smile:\r\n\r\nSorry about that.",
"Hi! You can pass `contiguous=True` to `.shard()` get contiguous shards. More info on this and the default behavior can be found in the [docs](https://hug... |
https://api.github.com/repos/huggingface/datasets/issues/3783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3783/comments | https://api.github.com/repos/huggingface/datasets/issues/3783/events | https://github.com/huggingface/datasets/pull/3783 | 1,149,256,744 | PR_kwDODunzps4zZ1jR | 3,783 | Support passing str to iter_files | [] | closed | false | null | 1 | 2022-02-24T12:58:15Z | 2022-02-24T16:01:40Z | 2022-02-24T16:01:40Z | null | null | {
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"@mariosasko it was indeed while reading that PR, that I remembered this change I wanted to do long ago... 😉"
] |
https://api.github.com/repos/huggingface/datasets/issues/349 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/349/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/349/comments | https://api.github.com/repos/huggingface/datasets/issues/349/events | https://github.com/huggingface/datasets/pull/349 | 652,231,571 | MDExOlB1bGxSZXF1ZXN0NDQ1MzQwMTQ1 | 349 | Hyperpartisan news detection | [] | closed | false | null | 2 | 2020-07-07T11:06:37Z | 2020-07-07T20:47:27Z | 2020-07-07T14:57:11Z | null | Adding the hyperpartisan news detection dataset from PAN. This contains news article text, labelled with whether they're hyper-partisan and why kinds of biases they display.
Implementation notes:
- As with many PAN tasks, the data is hosted on [Zenodo](https://zenodo.org/record/1489920) and must be requested before use. I've used the manual download stuff for this, although the dataset is provided under a Creative Commons Attribution 4.0 International License, so we could host a version if we wanted to?
- The 'bias' attribute doesn't exist for the 'byarticle' configuration. I've added an empty string to the class labels to deal with this. Is there a more standard value for empty data?
- Should we always subclass `nlp.BuilderConfig`?
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"Thank you so much for working on this! This is awesome!\r\n\r\nHow much would it help you if we would remove the manual request?\r\n\r\nWe are naturally interested in getting some broad idea of how many people and who are using our dataset. But if you consider hosting the dataset yourself, I would rather remove th... |
https://api.github.com/repos/huggingface/datasets/issues/1045 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1045/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1045/comments | https://api.github.com/repos/huggingface/datasets/issues/1045/events | https://github.com/huggingface/datasets/pull/1045 | 756,120,760 | MDExOlB1bGxSZXF1ZXN0NTMxNzE2NzIy | 1,045 | Add xitsonga ner corpus | [] | closed | false | null | 1 | 2020-12-03T11:40:48Z | 2020-12-03T17:20:03Z | 2020-12-03T17:19:32Z | null | {
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"Look like this PR includes changes to many other files than the ones related to xitsonga NER.\r\nCould you create another branch and another PR please ?"
] | |
https://api.github.com/repos/huggingface/datasets/issues/4443 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4443/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4443/comments | https://api.github.com/repos/huggingface/datasets/issues/4443/events | https://github.com/huggingface/datasets/issues/4443 | 1,259,606,334 | I_kwDODunzps5LFBE- | 4,443 | Dataset Viewer issue for openclimatefix/nimrod-uk-1km | [] | open | false | null | 6 | 2022-06-03T08:17:16Z | 2022-06-07T08:23:52Z | null | null | ### Link
_No response_
### Description
_No response_
### Owner
_No response_ | {
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} | https://api.github.com/repos/huggingface/datasets/issues/4443/timeline | null | null | null | null | false | [
"If I understand correctly, this is due to the key `split` missing in the line https://huggingface.co/datasets/openclimatefix/nimrod-uk-1km/blob/main/nimrod-uk-1km.py#L41 of the script.\r\nMaybe @albertvillanova could confirm.",
"I'm having a look.",
"Indeed there are several issues in this dataset loading scri... |
https://api.github.com/repos/huggingface/datasets/issues/506 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/506/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/506/comments | https://api.github.com/repos/huggingface/datasets/issues/506/events | https://github.com/huggingface/datasets/pull/506 | 679,164,788 | MDExOlB1bGxSZXF1ZXN0NDY3OTkwNjc2 | 506 | fix dataset.map for function without outputs | [] | closed | false | null | 0 | 2020-08-14T13:40:22Z | 2020-08-17T11:24:39Z | 2020-08-17T11:24:38Z | null | As noticed in #505 , giving a function that doesn't return anything in `.map` raises an error because of an unreferenced variable.
I fixed that and added tests.
Thanks @avloss for reporting | {
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https://api.github.com/repos/huggingface/datasets/issues/4711 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4711/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4711/comments | https://api.github.com/repos/huggingface/datasets/issues/4711/events | https://github.com/huggingface/datasets/issues/4711 | 1,309,138,570 | I_kwDODunzps5OB96K | 4,711 | Document how to create a dataset loading script for audio/vision | [
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] | closed | false | null | 1 | 2022-07-19T08:03:40Z | 2023-07-25T16:07:52Z | 2023-07-25T16:07:52Z | null | Currently, in our docs for Audio/Vision/Text, we explain how to:
- Load data
- Process data
However we only explain how to *Create a dataset loading script* for text data.
I think it would be useful that we add the same for Audio/Vision as these have some specificities different from Text.
See, for example:
- #4697
- and comment there: https://github.com/huggingface/datasets/issues/4697#issuecomment-1191502492
CC: @stevhliu
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"I'm closing this issue as both the Audio and Image sections now have a \"Create dataset\" page that contains the info about writing the loading script version of a dataset."
] |
https://api.github.com/repos/huggingface/datasets/issues/1714 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1714/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1714/comments | https://api.github.com/repos/huggingface/datasets/issues/1714/events | https://github.com/huggingface/datasets/pull/1714 | 782,416,276 | MDExOlB1bGxSZXF1ZXN0NTUxOTc3MDA0 | 1,714 | Adding adversarialQA dataset | [] | closed | false | null | 5 | 2021-01-08T21:46:09Z | 2021-01-13T16:05:24Z | 2021-01-13T16:05:24Z | null | Adding the adversarialQA dataset (https://adversarialqa.github.io/) from Beat the AI (https://arxiv.org/abs/2002.00293) | {
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"Oh that's a really cool one, we'll review/merge it soon!\r\n\r\nIn the meantime, do you have any specific positive/negative feedback on the process of adding a datasets Max?\r\nDid you follow the instruction in the [detailed step-by-step](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md)?",
... |
https://api.github.com/repos/huggingface/datasets/issues/5817 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5817/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5817/comments | https://api.github.com/repos/huggingface/datasets/issues/5817/events | https://github.com/huggingface/datasets/issues/5817 | 1,694,891,866 | I_kwDODunzps5lBf9a | 5,817 | Setting `num_proc` errors when `.map` returns additional items. | [] | closed | false | null | 3 | 2023-05-03T21:46:53Z | 2023-05-04T21:14:21Z | 2023-05-04T20:22:25Z | null | ### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 528, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3097, in map
for rank, done, content in iflatmap_unordered(
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/utils/py_utils.py", line 1372, in iflatmap_unordered
yield queue.get(timeout=0.05)
File "<string>", line 2, in get
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/multiprocess/managers.py", line 818, in _callmethod
kind, result = conn.recv()
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/multiprocess/connection.py", line 258, in recv
buf = self._recv_bytes()
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/multiprocess/connection.py", line 422, in _recv_bytes
buf = self._recv(4)
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/multiprocess/connection.py", line 391, in _recv
raise EOFError
EOFError
```
### Steps to reproduce the bug
This is copied from the [Datasets docs](https://huggingface.co/docs/datasets/v2.12.0/en/process#batch-processing), with `num_proc` added, and will error.
```py
import datasets
dataset = ... # any old dataset
def chunk_examples(examples):
chunks = []
for sentence in examples["text"]:
chunks += [sentence[i : i + 50] for i in range(0, len(sentence), 50)]
return {"chunks": chunks}
chunked_dataset = dataset.map(
chunk_examples,
batched=True,
remove_columns=dataset.column_names,
num_proc=2, # Remove and it works
)
```
### Expected behavior
Should work fine. On a related note, multi-processing also fails if there is a Meta class anywhere in scope (and there are plenty in the standard library). This is the fault of `dill` and is a long standing issue.
Have you considered using Loky for multiprocessing? I've found that the built-in `datasets` multi-processing breaks more than it works so have written my own function using `loky`, for reference:
```py
import datasets
import loky
def fast_loop(dataset: datasets.Dataset, func, num_proc=None):
if num_proc is None:
import os
num_proc = len(os.sched_getaffinity(0))
shards = [
dataset.shard(num_shards=num_proc, index=i, contiguous=True)
for i in range(num_proc)
]
executor = loky.get_reusable_executor(max_workers=num_proc)
results = executor.map(func, shards)
return datasets.combine.concatenate_datasets(list(results))
```
### Environment info
- `datasets` version: 2.11.0
- Platform: Linux-5.15.90.1-microsoft-standard-WSL2-x86_64-with-glibc2.31
- Python version: 3.10.8
- Huggingface_hub version: 0.12.1
- PyArrow version: 11.0.0
- Pandas version: 2.0.1 | {
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} | https://api.github.com/repos/huggingface/datasets/issues/5817/timeline | null | completed | null | null | false | [
"Hi ! Unfortunately I couldn't reproduce on my side locally and with datasets 2.11 and python 3.10.11 on colab.\r\nWhat version of `multiprocess` are you using ?",
"I've got `multiprocess` version `0.70.14`.\r\n\r\nI've done some more testing and the error only occurs in PyCharm's Python Console. It seems to be [... |
https://api.github.com/repos/huggingface/datasets/issues/4300 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4300/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4300/comments | https://api.github.com/repos/huggingface/datasets/issues/4300/events | https://github.com/huggingface/datasets/pull/4300 | 1,230,272,761 | PR_kwDODunzps43iA86 | 4,300 | Add API code examples for loading methods | [
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] | closed | false | null | 1 | 2022-05-09T21:30:26Z | 2022-05-25T16:23:15Z | 2022-05-25T09:20:13Z | null | This PR adds API code examples for loading methods, let me know if I've missed any important parameters we should showcase :)
I was a bit confused about `inspect_dataset` and `inspect_metric`. The `path` parameter says it will accept a dataset identifier from the Hub. But when I try the identifier `rotten_tomatoes`, it gives me:
```py
from datasets import inspect_dataset
inspect_dataset('rotten_tomatoes', local_path='/content/rotten_tomatoes')
FileNotFoundError: Couldn't find a dataset script at /content/rotten_tomatoes/rotten_tomatoes.py or any data file in the same directory.
```
Does the user need to have an existing copy of `rotten_tomatoes.py` on their local drive (in which case, it seems like the same option as the first option in `path`)? | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/6035 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6035/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6035/comments | https://api.github.com/repos/huggingface/datasets/issues/6035/events | https://github.com/huggingface/datasets/pull/6035 | 1,805,087,687 | PR_kwDODunzps5Vh_QR | 6,035 | Dataset representation | [] | open | false | null | 1 | 2023-07-14T15:42:37Z | 2023-07-19T19:41:35Z | null | null | __repr__ and _repr_html_ now both are similar to that of Polars | {
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} | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6035). All of your documentation changes will be reflected on that endpoint."
] |
https://api.github.com/repos/huggingface/datasets/issues/1739 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1739/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1739/comments | https://api.github.com/repos/huggingface/datasets/issues/1739/events | https://github.com/huggingface/datasets/pull/1739 | 787,219,138 | MDExOlB1bGxSZXF1ZXN0NTU1OTY5Njgx | 1,739 | fixes and improvements for the WebNLG loader | [] | closed | false | null | 5 | 2021-01-15T21:45:23Z | 2021-01-29T14:34:06Z | 2021-01-29T10:53:03Z | null | - fixes test sets loading in v3.0
- adds additional fields for v3.0_ru
- adds info to the WebNLG data card | {
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"The dataset card is fantastic!\r\n\r\nLooks good to me! Did you check that this still passes the slow tests with the existing dummy data?",
"Yes, I ran and passed all the tests specified in [this guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#automatically-add-code-metadata), inclu... |
https://api.github.com/repos/huggingface/datasets/issues/1316 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1316/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1316/comments | https://api.github.com/repos/huggingface/datasets/issues/1316/events | https://github.com/huggingface/datasets/pull/1316 | 759,549,601 | MDExOlB1bGxSZXF1ZXN0NTM0NTM2Mzc1 | 1,316 | Allow GitHub releases as dataset source | [] | closed | false | null | 0 | 2020-12-08T15:39:35Z | 2020-12-10T10:12:00Z | 2020-12-10T10:12:00Z | null | # Summary
Providing a GitHub release URL to `DownloadManager.download()` currently throws a `ConnectionError: Couldn't reach [DOWNLOAD_URL]`. This PR fixes this problem by adding an exception for GitHub releases in `datasets.utils.file_utils.get_from_cache()`.
# Reproduce
```
import datasets
url = 'http://github.com/benjaminvdb/DBRD/releases/download/v3.0/DBRD_v3.tgz'
result = datasets.utils.file_utils.get_from_cache(url)
# Returns: ConnectionError: Couldn't reach http://github.com/benjaminvdb/DBRD/releases/download/v3.0/DBRD_v3.tgz
```
# Cause
GitHub releases returns a HTTP status 403 (FOUND), indicating that the request is being redirected (to AWS S3, in this case). `get_from_cache()` checks whether the status is 200 (OK) or if it is part of two exceptions (Google Drive or Firebase), otherwise the mentioned error is thrown.
# Solution
Just like the exceptions for Google Drive and Firebase, add a condition for GitHub releases URLs that return the HTTP status 403. If this is the case, continue normally. | {
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https://api.github.com/repos/huggingface/datasets/issues/1038 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1038/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1038/comments | https://api.github.com/repos/huggingface/datasets/issues/1038/events | https://github.com/huggingface/datasets/pull/1038 | 755,987,997 | MDExOlB1bGxSZXF1ZXN0NTMxNjA2Njgw | 1,038 | add med_hop | [] | closed | false | null | 0 | 2020-12-03T08:40:27Z | 2020-12-03T16:53:13Z | 2020-12-03T16:52:23Z | null | This PR adds the MedHop dataset from the QAngaroo multi hop reading comprehension datasets
More info:
http://qangaroo.cs.ucl.ac.uk/index.html | {
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https://api.github.com/repos/huggingface/datasets/issues/3598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3598/comments | https://api.github.com/repos/huggingface/datasets/issues/3598/events | https://github.com/huggingface/datasets/issues/3598 | 1,108,107,199 | I_kwDODunzps5CDF-_ | 3,598 | Readme info not being parsed to show on Dataset card page | [
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] | closed | false | null | 4 | 2022-01-19T13:32:29Z | 2022-01-21T10:20:01Z | 2022-01-21T10:20:01Z | null | ## Describe the bug
The info contained in the README.md file is not being shown in the dataset main page. Basic info and table of contents are properly formatted in the README.
## Steps to reproduce the bug
# Sample code to reproduce the bug
The README file is this one: https://huggingface.co/datasets/softcatala/Tilde-MODEL-Catalan/blob/main/README.md
## Expected results
README info should appear in the Dataset card page.
## Actual results
Nothing is shown. However, labels are parsed and shown successfully.
| {
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"i suspect a markdown parsing error, @severo do you want to take a quick look at it when you have some time?",
"# Problem\r\nThe issue seems to coming from the front matter of the README\r\n```---\r\nannotations_creators:\r\n- no-annotation\r\nlanguage_creators:\r\n- machine-generated\r\nlanguages:\r\n- 'ca'\r\n-... |
https://api.github.com/repos/huggingface/datasets/issues/2931 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2931/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2931/comments | https://api.github.com/repos/huggingface/datasets/issues/2931/events | https://github.com/huggingface/datasets/pull/2931 | 998,326,359 | PR_kwDODunzps4r1-JH | 2,931 | Fix bug in to_tf_dataset | [] | closed | false | null | 1 | 2021-09-16T15:08:03Z | 2021-09-16T17:01:38Z | 2021-09-16T17:01:37Z | null | Replace `set_format()` to `with_format()` so that we don't alter the original dataset in `to_tf_dataset()` | {
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"I'm going to merge it, but yeah - hopefully the CI runner just cleans that up automatically and few other people run the tests on Windows anyway!"
] |
https://api.github.com/repos/huggingface/datasets/issues/1620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1620/comments | https://api.github.com/repos/huggingface/datasets/issues/1620/events | https://github.com/huggingface/datasets/pull/1620 | 772,620,056 | MDExOlB1bGxSZXF1ZXN0NTQzODUxNTY3 | 1,620 | Adding myPOS2017 dataset | [
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] | closed | false | null | 4 | 2020-12-22T04:04:55Z | 2022-10-03T09:38:23Z | 2022-10-03T09:38:23Z | null | myPOS Corpus (Myanmar Part-of-Speech Corpus) for Myanmar language NLP Research and Developments | {
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"I've updated the code and Readme to reflect your comments.\r\nThank you very much,",
"looks like this PR includes changes about many other files than the ones for myPOS2017\r\n\r\nCould you open another branch and another PR please ?\r\n(or fix this branch)",
"Hi @hungluumfc ! Have you had a chance to fix this... |
https://api.github.com/repos/huggingface/datasets/issues/3074 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3074/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3074/comments | https://api.github.com/repos/huggingface/datasets/issues/3074/events | https://github.com/huggingface/datasets/pull/3074 | 1,025,940,085 | PR_kwDODunzps4tLbe- | 3,074 | add XCSR dataset | [] | closed | false | null | 2 | 2021-10-14T04:39:59Z | 2021-11-08T13:52:36Z | 2021-11-08T13:52:36Z | null | Hi,
I wanted to add the [XCSR ](https://inklab.usc.edu//XCSR/xcsr_datasets) dataset to huggingface! :)
I followed the instructions of adding new dataset to huggingface and have all the required files ready now! It would be super helpful if you can take a look and review them. Thanks in advance for your time and help. Look forward to hearing from you and can't wait to add XCSR to huggingface :D | {
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"> Hi ! Thanks for adding this dataset :)\r\n> \r\n> Do you know how the translations were done ? Maybe we can mention that in the dataset card.\r\n> \r\n> The rest looks all good to me :) good job with the dataset script and the dataset card !\r\n> \r\n> Just one thing: we try to have dummy_data.zip files that are... |
https://api.github.com/repos/huggingface/datasets/issues/1522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1522/comments | https://api.github.com/repos/huggingface/datasets/issues/1522/events | https://github.com/huggingface/datasets/pull/1522 | 764,341,594 | MDExOlB1bGxSZXF1ZXN0NTM4NDUzNjg4 | 1,522 | Add semeval 2020 task 11 | [] | closed | false | null | 2 | 2020-12-12T20:32:14Z | 2020-12-15T16:48:52Z | 2020-12-15T16:48:52Z | null | Adding in propaganda detection task (task 11) from Sem Eval 2020 | {
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"@SBrandeis : Thanks for the feedback! Just updated to use context manager for the `open`s and removed the placeholder text from the `README`!",
"Great, thanks @ZacharySBrown !\r\nFailing tests seem to be unrelated to your changes, merging the current master branch into yours should fix them.\r\n"
] |
https://api.github.com/repos/huggingface/datasets/issues/3890 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3890/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3890/comments | https://api.github.com/repos/huggingface/datasets/issues/3890/events | https://github.com/huggingface/datasets/pull/3890 | 1,165,502,838 | PR_kwDODunzps40QJ8V | 3,890 | Update beans download urls | [] | closed | false | null | 2 | 2022-03-10T17:16:16Z | 2022-03-15T16:47:30Z | 2022-03-15T15:26:48Z | null | Replace the old URLs with the Hub [URLs](https://huggingface.co/datasets/beans/tree/main/data).
Also reported by @stevhliu.
Fix #3889 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3890). All of your documentation changes will be reflected on that endpoint.",
"@albertvillanova Thanks for investigating and fixing that issue. I regenerated the `dataset_infos.json` file."
] |
https://api.github.com/repos/huggingface/datasets/issues/3102 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3102/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3102/comments | https://api.github.com/repos/huggingface/datasets/issues/3102/events | https://github.com/huggingface/datasets/issues/3102 | 1,029,067,062 | I_kwDODunzps49VlE2 | 3,102 | Unsuitable project description in PyPI | [] | closed | false | null | 0 | 2021-10-18T12:45:00Z | 2021-10-18T12:59:56Z | 2021-10-18T12:59:56Z | null | Currently, `datasets` project description appearing in PyPI shows the release instructions addressed to core maintainers: https://pypi.org/project/datasets/1.13.3/ | {
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https://api.github.com/repos/huggingface/datasets/issues/908 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/908/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/908/comments | https://api.github.com/repos/huggingface/datasets/issues/908/events | https://github.com/huggingface/datasets/pull/908 | 752,428,652 | MDExOlB1bGxSZXF1ZXN0NTI4NzUzMjcz | 908 | Add dependency on black for tests | [] | closed | false | null | 1 | 2020-11-27T19:12:48Z | 2020-11-27T21:46:53Z | 2020-11-27T21:46:52Z | null | Add package 'black' as an installation requirement for tests. | {
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"Sorry, I have just seen that it was already in `QUALITY_REQUIRE`.\r\n\r\nFor some reason it did not get installed on my virtual environment..."
] |
https://api.github.com/repos/huggingface/datasets/issues/392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/392/comments | https://api.github.com/repos/huggingface/datasets/issues/392/events | https://github.com/huggingface/datasets/pull/392 | 657,313,738 | MDExOlB1bGxSZXF1ZXN0NDQ5NDUwOTkx | 392 | Style change detection | [] | closed | false | null | 0 | 2020-07-15T12:32:14Z | 2020-07-21T13:18:36Z | 2020-07-17T17:13:23Z | null | Another [PAN task](https://pan.webis.de/clef20/pan20-web/style-change-detection.html). This time about identifying when the style/author changes in documents.
- There's the possibility of adding the [PAN19](https://zenodo.org/record/3577602) and PAN18 style change detection tasks too (these are datasets whose labels are a subset of PAN20's). These would probably make more sense as separate datasets (like wmt is now)
- I've converted the integer 0,1 values to a boolean
- Using manually downloaded data again. This might be changed at some point following the discussion in https://github.com/huggingface/nlp/pull/349. | {
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https://api.github.com/repos/huggingface/datasets/issues/3109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3109/comments | https://api.github.com/repos/huggingface/datasets/issues/3109/events | https://github.com/huggingface/datasets/pull/3109 | 1,030,543,284 | PR_kwDODunzps4tZXmC | 3,109 | Update BibTeX entry | [] | closed | false | null | 0 | 2021-10-19T16:59:31Z | 2021-10-19T17:13:28Z | 2021-10-19T17:13:27Z | null | Update BibTeX entry. | {
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https://api.github.com/repos/huggingface/datasets/issues/1860 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1860/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1860/comments | https://api.github.com/repos/huggingface/datasets/issues/1860/events | https://github.com/huggingface/datasets/pull/1860 | 805,510,037 | MDExOlB1bGxSZXF1ZXN0NTcxMDk4OTIz | 1,860 | Add loading from the Datasets Hub + add relative paths in download manager | [] | closed | false | null | 2 | 2021-02-10T13:24:11Z | 2021-02-12T19:13:30Z | 2021-02-12T19:13:29Z | null | With the new Datasets Hub on huggingface.co it's now possible to have a dataset repo with your own script and data.
For example: https://huggingface.co/datasets/lhoestq/custom_squad/tree/main contains one script and two json files.
You can load it using
```python
from datasets import load_dataset
d = load_dataset("lhoestq/custom_squad")
```
To be able to use the data files that live right next to the dataset script on the repo in the hub, I added relative paths support for the DownloadManager. For example in the repo mentioned above, there are two json files that can be downloaded via
```python
_URLS = {
"train": "train-v1.1.json",
"dev": "dev-v1.1.json",
}
downloaded_files = dl_manager.download_and_extract(_URLS)
```
To make it work, I set the `base_path` of the DownloadManager to be the parent path of the dataset script (which comes from either a local path or a remote url).
I also had to add the auth header of the requests to huggingface.co for private datasets repos. The token is fetched from [huggingface_hub](https://github.com/huggingface/huggingface_hub). | {
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"I just added the steps to share a dataset on the datasets hub. It's highly inspired by the steps to share a model in the `transformers` doc.\r\n\r\nMoreover once the new huggingface_hub is released we can update the version in the setup.py. We also need to update the command to create a dataset repo in the documen... |
https://api.github.com/repos/huggingface/datasets/issues/3853 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3853/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3853/comments | https://api.github.com/repos/huggingface/datasets/issues/3853/events | https://github.com/huggingface/datasets/pull/3853 | 1,162,386,592 | PR_kwDODunzps40F3uN | 3,853 | add ontonotes_conll dataset | [] | closed | false | null | 2 | 2022-03-08T08:53:42Z | 2022-03-15T10:48:02Z | 2022-03-15T10:48:02Z | null | # Introduction of the dataset
OntoNotes v5.0 is the final version of OntoNotes corpus, and is a large-scale, multi-genre,
multilingual corpus manually annotated with syntactic, semantic and discourse information.
This dataset is the version of OntoNotes v5.0 extended and used in the CoNLL-2012 shared task
, includes v4 train/dev and v9 test data for English/Chinese/Arabic and corrected version v12 train/dev/test data (English only).
This dataset is widely used in name entity recognition, coreference resolution, and semantic role labeling.
In dataset loading script, I modify and use the code of [AllenNLP/Ontonotes](https://docs.allennlp.org/models/main/models/common/ontonotes/#ontonotes) to read the special conll files while don't get extra package dependency.
# Some workarounds I did
1. task ids
I add tasks that I can't find anywhere `semantic-role-labeling`, `lemmatization`, and `word-sense-disambiguation` to the task category `structure-prediction`, because they are related to "syntax". I feel there is another good name for the task category since some tasks mentioned aren't related to structure, but I have no good idea.
2. `dl_manage.extract`
Since we'll get another zip after unzip the downloaded zip data, I have to use `dl_manager.extract` directly inside `_generate_examples`. But when testing dummy data, `dl_manager.extract` do nothing. So I make a conditional such that it manually extract data when testing dummy data.
# Help
Don't know how to fix the building doc error. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3853). All of your documentation changes will be reflected on that endpoint.",
"The CI fail is unrelated to this dataset, merging :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/2597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2597/comments | https://api.github.com/repos/huggingface/datasets/issues/2597/events | https://github.com/huggingface/datasets/pull/2597 | 937,917,770 | MDExOlB1bGxSZXF1ZXN0Njg0Mzk0MDIz | 2,597 | Remove redundant prepare_module | [
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} | 0 | 2021-07-06T13:47:45Z | 2021-07-12T14:10:52Z | 2021-07-07T13:01:46Z | null | I have noticed that after implementing `load_dataset_builder` (#2500), there is a redundant call to `prepare_module`. | {
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https://api.github.com/repos/huggingface/datasets/issues/305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/305/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/305/comments | https://api.github.com/repos/huggingface/datasets/issues/305/events | https://github.com/huggingface/datasets/issues/305 | 644,148,149 | MDU6SXNzdWU2NDQxNDgxNDk= | 305 | Importing downloaded package repository fails | [
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] | closed | false | null | 0 | 2020-06-23T21:09:05Z | 2020-07-30T16:44:23Z | 2020-07-30T16:44:23Z | null | The `get_imports` function in `src/nlp/load.py` has a feature to download a package as a zip archive of the github repository and import functions from the unpacked directory. This is used for example in the `metrics/coval.py` file, and would be useful to add BLEURT (@ankparikh).
Currently however, the code seems to have trouble with imports within the package. For example:
```
import nlp
coval = nlp.load_metric('coval')
```
yields:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/yacine/Code/nlp/src/nlp/load.py", line 432, in load_metric
metric_cls = import_main_class(module_path, dataset=False)
File "/home/yacine/Code/nlp/src/nlp/load.py", line 57, in import_main_class
module = importlib.import_module(module_path)
File "/home/yacine/anaconda3/lib/python3.7/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/home/yacine/Code/nlp/src/nlp/metrics/coval/a78807df33ac45edbb71799caf2b3b47e55df4fd690267808fe963a5e8b30952/coval.py", line 21, in <module>
from .coval_backend.conll import reader # From: https://github.com/ns-moosavi/coval
File "/home/yacine/Code/nlp/src/nlp/metrics/coval/a78807df33ac45edbb71799caf2b3b47e55df4fd690267808fe963a5e8b30952/coval_backend/conll/reader.py", line 2, in <module>
from conll import mention
ModuleNotFoundError: No module named 'conll'
```
Not sure what the fix would be there. | {
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https://api.github.com/repos/huggingface/datasets/issues/4272 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4272/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4272/comments | https://api.github.com/repos/huggingface/datasets/issues/4272/events | https://github.com/huggingface/datasets/pull/4272 | 1,224,635,660 | PR_kwDODunzps43QQQt | 4,272 | Fix typo in logging docs | [] | closed | false | null | 4 | 2022-05-03T20:47:57Z | 2022-05-04T15:42:27Z | 2022-05-04T06:58:36Z | null | This PR fixes #4271. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> This PR fixes #4271.\r\n\r\nThings have not changed when searching \"tqdm\" in the Dataset document. The second result still performs as \"Enable\".",
"Hi @jiangwy99, the fix will appear on the `main` version of the docs:\r\n\r\n... |
https://api.github.com/repos/huggingface/datasets/issues/45 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/45/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/45/comments | https://api.github.com/repos/huggingface/datasets/issues/45/events | https://github.com/huggingface/datasets/pull/45 | 612,386,583 | MDExOlB1bGxSZXF1ZXN0NDEzMzQzMjAy | 45 | [Load] Separate Module kwargs and builder kwargs. | [] | closed | false | null | 0 | 2020-05-05T07:09:54Z | 2022-10-04T09:32:11Z | 2020-05-08T09:51:22Z | null | Kwargs for the `load_module` fn should be passed with `module_xxxx` to `builder_kwargs` of `load` fn.
This is a follow-up PR of: https://github.com/huggingface/nlp/pull/41 | {
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https://api.github.com/repos/huggingface/datasets/issues/6083 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6083/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6083/comments | https://api.github.com/repos/huggingface/datasets/issues/6083/events | https://github.com/huggingface/datasets/pull/6083 | 1,824,832,348 | PR_kwDODunzps5WkgAI | 6,083 | set dev version | [] | closed | false | null | 3 | 2023-07-27T17:10:41Z | 2023-07-27T17:22:05Z | 2023-07-27T17:11:01Z | null | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6083). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... |
https://api.github.com/repos/huggingface/datasets/issues/4510 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4510/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4510/comments | https://api.github.com/repos/huggingface/datasets/issues/4510/events | https://github.com/huggingface/datasets/pull/4510 | 1,273,260,396 | PR_kwDODunzps45wq6o | 4,510 | Add regression test for `ArrowWriter.write_batch` when batch is empty | [] | closed | false | null | 2 | 2022-06-16T08:53:51Z | 2022-06-16T12:38:02Z | 2022-06-16T12:28:19Z | null | As spotted by @cccntu in #4502, there's a logic bug in `ArrowWriter.write_batch` as the if-statement to handle the empty batches as detailed in the docstrings of the function ("Ignores the batch if it appears to be empty, preventing a potential schema update of unknown types."), the current if-statement is not handling properly `writer.write_batch({})` as an error is triggered.
Also, if we add a regression test in `test_arrow_writer.py::test_write_batch` before applying the fix, the test will fail as when trying to write an empty batch as follows:
```
=================================================================================== short test summary info ===================================================================================
FAILED tests/test_arrow_writer.py::test_write_batch[None-None] - ValueError: Schema and number of arrays unequal
FAILED tests/test_arrow_writer.py::test_write_batch[None-1] - ValueError: Schema and number of arrays unequal
FAILED tests/test_arrow_writer.py::test_write_batch[None-10] - ValueError: Schema and number of arrays unequal
FAILED tests/test_arrow_writer.py::test_write_batch[fields1-None] - ValueError: Schema and number of arrays unequal
FAILED tests/test_arrow_writer.py::test_write_batch[fields1-1] - ValueError: Schema and number of arrays unequal
FAILED tests/test_arrow_writer.py::test_write_batch[fields1-10] - ValueError: Schema and number of arrays unequal
FAILED tests/test_arrow_writer.py::test_write_batch[fields2-None] - ValueError: Schema and number of arrays unequal
FAILED tests/test_arrow_writer.py::test_write_batch[fields2-1] - ValueError: Schema and number of arrays unequal
FAILED tests/test_arrow_writer.py::test_write_batch[fields2-10] - ValueError: Schema and number of arrays unequal
======================================================================== 9 failed, 73 deselected, 7 warnings in 0.81s =========================================================================
```
So the batch is not ignored when empty, as `batch_examples={}` won't match the condition `if batch_examples: ...`. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"As mentioned by @lhoestq, the current behavior is correct and we should not expect batches with different columns, in that case, the if should fail, as the values of the batch can be empty, but not the actual `batch_examples` value."... |
https://api.github.com/repos/huggingface/datasets/issues/3732 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3732/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3732/comments | https://api.github.com/repos/huggingface/datasets/issues/3732/events | https://github.com/huggingface/datasets/pull/3732 | 1,140,004,022 | PR_kwDODunzps4y7PTU | 3,732 | Support streaming in size estimation function in `push_to_hub` | [] | closed | false | null | 2 | 2022-02-16T13:10:48Z | 2022-02-21T18:18:45Z | 2022-02-21T18:18:44Z | null | This PR adds the streamable version of `os.path.getsize` (`fsspec` can return `None`, so we fall back to `fs.open` to make it more robust) to account for possible streamable paths in the nested `extra_nbytes_visitor` function inside `push_to_hub`. | {
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"would this allow to include the size in the dataset info without downloading the files? related to https://github.com/huggingface/datasets/pull/3670",
"@severo I don't think so. We could use this to get `info.download_checksums[\"num_bytes\"]`, but we must process the files to get the rest of the size info. "
] |
https://api.github.com/repos/huggingface/datasets/issues/4178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4178/comments | https://api.github.com/repos/huggingface/datasets/issues/4178/events | https://github.com/huggingface/datasets/pull/4178 | 1,207,787,073 | PR_kwDODunzps42ZfFN | 4,178 | [feat] Add ImageNet dataset | [] | closed | false | null | 3 | 2022-04-19T06:01:35Z | 2022-04-29T21:43:59Z | 2022-04-29T21:37:08Z | null | To use the dataset download the tar file
[imagenet_object_localization_patched2019.tar.gz](https://www.kaggle.com/competitions/imagenet-object-localization-challenge/data?select=imagenet_object_localization_patched2019.tar.gz) from Kaggle and then point the datasets library to it by using:
```py
from datasets import load_dataset
dataset = load_dataset("imagenet",
data_dir="/path/to/imagenet_object_localization_patched2019.tar.gz")
```
Currently train and validation splits are supported. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for the comments. I believe I have addressed all of them and also decreased the size of the dummy data file, so it should be ready for a re-review. I also made a change to allow adding synset mapping and valprep script in conf... |
https://api.github.com/repos/huggingface/datasets/issues/5508 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5508/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5508/comments | https://api.github.com/repos/huggingface/datasets/issues/5508/events | https://github.com/huggingface/datasets/issues/5508 | 1,573,290,359 | I_kwDODunzps5dxoF3 | 5,508 | Saving a dataset after setting format to torch doesn't work, but only if filtering | [] | closed | false | null | 2 | 2023-02-06T21:08:58Z | 2023-02-09T14:55:26Z | 2023-02-09T14:55:26Z | null | ### Describe the bug
Saving a dataset after setting format to torch doesn't work, but only if filtering
### Steps to reproduce the bug
```
a = Dataset.from_dict({"b": [1, 2]})
a.set_format('torch')
a.save_to_disk("test_save") # saves successfully
a.filter(None).save_to_disk("test_save_filter") # does not
>> [...] TypeError: Provided `function` which is applied to all elements of table returns a `dict` of types [<class 'torch.Tensor'>]. When using `batched=True`, make sure provided `function` returns a `dict` of types like `(<class 'list'>, <class 'numpy.ndarray'>)`.
# note: skipping the format change to torch lets this work.
### Expected behavior
Saving to work
### Environment info
- `datasets` version: 2.4.0
- Platform: Linux-6.1.9-arch1-1-x86_64-with-glibc2.36
- Python version: 3.10.9
- PyArrow version: 9.0.0
- Pandas version: 1.4.4 | {
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"Hey, I'm a research engineer working on language modelling wanting to contribute to open source. I was wondering if I could give it a shot?",
"Hi! This issue was fixed in https://github.com/huggingface/datasets/pull/4972, so please install `datasets>=2.5.0` to avoid it."
] |
https://api.github.com/repos/huggingface/datasets/issues/2180 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2180/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2180/comments | https://api.github.com/repos/huggingface/datasets/issues/2180/events | https://github.com/huggingface/datasets/pull/2180 | 852,258,635 | MDExOlB1bGxSZXF1ZXN0NjEwNTQxOTA2 | 2,180 | Add tel to xtreme tatoeba | [] | closed | false | null | 0 | 2021-04-07T10:23:15Z | 2021-04-07T15:50:35Z | 2021-04-07T15:50:34Z | null | This should fix issue #2149 | {
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https://api.github.com/repos/huggingface/datasets/issues/1591 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1591/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1591/comments | https://api.github.com/repos/huggingface/datasets/issues/1591/events | https://github.com/huggingface/datasets/issues/1591 | 769,383,714 | MDU6SXNzdWU3NjkzODM3MTQ= | 1,591 | IWSLT-17 Link Broken | [
{
"color": "cfd3d7",
"default": true,
"description": "This issue or pull request already exists",
"id": 1935892865,
"name": "duplicate",
"node_id": "MDU6TGFiZWwxOTM1ODkyODY1",
"url": "https://api.github.com/repos/huggingface/datasets/labels/duplicate"
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... | closed | false | null | 2 | 2020-12-17T00:46:42Z | 2020-12-18T08:06:36Z | 2020-12-18T08:05:28Z | null | ```
FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnmted//texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz
``` | {
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"Sorry, this is a duplicate of #1287. Not sure why it didn't come up when I searched `iwslt` in the issues list.",
"Closing this since its a duplicate"
] |
https://api.github.com/repos/huggingface/datasets/issues/4505 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4505/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4505/comments | https://api.github.com/repos/huggingface/datasets/issues/4505/events | https://github.com/huggingface/datasets/pull/4505 | 1,272,477,226 | PR_kwDODunzps45uH-o | 4,505 | Fix double dots in data files | [] | closed | false | null | 2 | 2022-06-15T16:31:04Z | 2022-06-15T17:15:58Z | 2022-06-15T17:05:53Z | null | As mentioned in https://github.com/huggingface/transformers/pull/17715 `data_files` can't find a file if the path contains double dots `/../`. This has been introduced in https://github.com/huggingface/datasets/pull/4412, by trying to ignore hidden files and directories (i.e. if they start with a dot)
I fixed this and added a test
cc @sgugger @ydshieh | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The CI fails are unrelated to this PR (apparently something related to `seqeval` on windows) - merging :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/5290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5290/comments | https://api.github.com/repos/huggingface/datasets/issues/5290/events | https://github.com/huggingface/datasets/pull/5290 | 1,462,716,766 | PR_kwDODunzps5DnQsS | 5,290 | fix error where reading breaks when batch missing an assigned column feature | [] | open | false | null | 1 | 2022-11-24T03:53:46Z | 2022-11-25T03:21:54Z | null | null | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5290). All of your documentation changes will be reflected on that endpoint."
] |
https://api.github.com/repos/huggingface/datasets/issues/5190 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5190/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5190/comments | https://api.github.com/repos/huggingface/datasets/issues/5190/events | https://github.com/huggingface/datasets/issues/5190 | 1,433,014,626 | I_kwDODunzps5VahFi | 5,190 | `path` is `None` when downloading a custom audio dataset from the Hub | [] | closed | false | null | 1 | 2022-11-02T11:51:25Z | 2022-11-02T12:55:02Z | 2022-11-02T12:55:02Z | null | ### Describe the bug
I've created an [audio dataset](https://huggingface.co/datasets/lewtun/audio-test-push) using the `audiofolder` feature desribed in the [docs](https://huggingface.co/docs/datasets/audio_dataset#audiofolder) and then pushed it to the Hub.
Locally, I can see the `audio.path` feature is of the expected form `path/to/data_dir`, but when I download the dataset from the Hub, I see `audio.path` is `None`
Here's an example:
```python
from datasets import load_dataset
ds = load_dataset("lewtun/audio-test-push")
ds["train"][0]
# {
# "audio": {
# "path": None, <-- Is this expected?
# "array": array(
# [
# 3.97140226e-07,
# 7.30310290e-07,
# 7.56406735e-07,
# ...,
# -1.19636677e-01,
# -1.16811886e-01,
# -1.12441722e-01,
# ]
# ),
# "sampling_rate": 44100,
# },
# "song_id": 0,
# "genre_id": 0,
# "genre": "Electronic",
# }
```
Is this expected behaviour? If yes, feel free to close this issue as it's not a true bug then :)
### Steps to reproduce the bug
1. Create an audio dataset with the `audiofolder` feature
2. Push the dataset to the Hub with `push_to_hub()`
3. Download the Hub dataset and inspect the `audio.path` feature
### Expected behavior
`audio.path` points to the file associated with the audio data
### Environment info
- `datasets` version: 2.6.2.dev0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.13
- PyArrow version: 9.0.0
- Pandas version: 1.5.1 | {
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"Hi! Yes, this is expected behavior - we do this as a security measure to not leak local paths (this info would be useless on other users' machines anyways) and only push audio bytes. \r\n"
] |
https://api.github.com/repos/huggingface/datasets/issues/5691 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5691/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5691/comments | https://api.github.com/repos/huggingface/datasets/issues/5691/events | https://github.com/huggingface/datasets/pull/5691 | 1,649,737,526 | PR_kwDODunzps5NX08d | 5,691 | [docs] Compress data files | [] | closed | false | null | 3 | 2023-03-31T17:17:26Z | 2023-04-19T13:37:32Z | 2023-04-19T07:25:58Z | null | This PR addresses the comments in #5687 about compressing text file extensions before uploading to the Hub. Also clarified what "too large" means based on the GitLFS [docs](https://docs.github.com/en/repositories/working-with-files/managing-large-files/about-git-large-file-storage). | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"[Confirmed](https://huggingface.slack.com/archives/C02EMARJ65P/p1680541667004199) with the Hub team the file size limit for the Hugging Face Hub is 10MB :)",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<deta... |
https://api.github.com/repos/huggingface/datasets/issues/3223 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3223/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3223/comments | https://api.github.com/repos/huggingface/datasets/issues/3223/events | https://github.com/huggingface/datasets/pull/3223 | 1,046,445,507 | PR_kwDODunzps4uLb1E | 3,223 | Update BibTeX entry | [] | closed | false | null | 0 | 2021-11-06T06:41:52Z | 2021-11-06T07:06:38Z | 2021-11-06T07:06:38Z | null | Update BibTeX entry. | {
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https://api.github.com/repos/huggingface/datasets/issues/1813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1813/comments | https://api.github.com/repos/huggingface/datasets/issues/1813/events | https://github.com/huggingface/datasets/pull/1813 | 800,435,973 | MDExOlB1bGxSZXF1ZXN0NTY2OTIxNDcz | 1,813 | Support future datasets | [] | closed | false | null | 0 | 2021-02-03T15:26:49Z | 2021-02-05T10:33:48Z | 2021-02-05T10:33:47Z | null | If a dataset is available at the version of the local installation of `datasets` (e.g. 1.2.0), then loading this dataset means loading the script at this version.
However when trying to load a dataset that is only available on master, currently users have to specify `script_version="master"` in `load_dataset` to make it work.
However we could automatically get the dataset from master instead in this case.
I added this feature in this PR.
I also added a warning if a dataset is not available at the version of the local installation of `datasets` but is loaded from master:
```python
>>> load_dataset("silicone", "dyda_da")
Couldn't find file locally at silicone/silicone.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.2.0/datasets/silicone/silicone.py.
The file was picked from the master branch on github instead at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/silicone/silicone.py.
Downloading and preparing dataset silicone/dyda_da (download: 8.46 MiB, generated: 9.39 MiB, post-processed: Unknown size, total: 17.86 MiB) to /Users/quentinlhoest/.cache/huggingface/datasets/silicone/dyda_da/1.0.0/d41d8c0b73c6df035b1369c45774418f0051163ea689b5502b8bda783adf6342...
...
```
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https://api.github.com/repos/huggingface/datasets/issues/3651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3651/comments | https://api.github.com/repos/huggingface/datasets/issues/3651/events | https://github.com/huggingface/datasets/pull/3651 | 1,118,597,647 | PR_kwDODunzps4xy3De | 3,651 | Update link in wiki_bio dataset | [] | closed | false | null | 2 | 2022-01-30T16:28:54Z | 2022-01-31T14:50:48Z | 2022-01-31T08:38:09Z | null | Fixes #3580 and makes the wiki_bio dataset work again. I changed the link and some documentation, and all the tests pass. Thanks @lhoestq for uploading the dataset to the HuggingFace data bucket.
@lhoestq -- all the tests pass, but I'm still not able to import the dataset, as the old Google Drive link is cached somewhere:
```python
>>> from datasets import load_dataset
load_dataset("wiki_bio>>> load_dataset("wiki_bio")
Using custom data configuration default
Downloading and preparing dataset wiki_bio/default (download: 318.53 MiB, generated: 736.94 MiB, post-processed: Unknown size, total: 1.03 GiB) to /home/jxm3/.cache/huggingface/datasets/wiki_bio/default/1.1.0/5293ce565954ba965dada626f1e79684e98172d950371d266bf3caaf87e911c9...
Traceback (most recent call last):
...
File "/home/jxm3/random/datasets/src/datasets/utils/file_utils.py", line 612, in get_from_cache
raise FileNotFoundError(f"Couldn't find file at {url}")
FileNotFoundError: Couldn't find file at https://drive.google.com/uc?export=download&id=1L7aoUXzHPzyzQ0ns4ApBbYepsjFOtXil
```
what do I have to do to invalidate the cache and actually import the dataset? It's clearly set up correctly, since the data is downloaded and processed by the tests.
As an aside, this caching-loading-scripts behavior makes for a really bad developer experience. I just wasted an hour trying to figure out where the caching was happening and how to disable it, and I don't know. All I wanted to do was update the link and submit a pull request! I recommend that you all either change this behavior (i.e. updating the link to a dataset should "just work") or document it, since I couldn't find any information about this in the contributing.md or readme or anywhere else! Thanks! | {
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"> all the tests pass, but I'm still not able to import the dataset\r\n\r\nSince it's not merged on `master` yet, you have to provide the path to your local `wiki_bio.py` to use it.\r\nIndeed the library downloads the dataset files from `master` if you have a dev installation of the library.\r\n\r\nI agree it would... |
https://api.github.com/repos/huggingface/datasets/issues/6067 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6067/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6067/comments | https://api.github.com/repos/huggingface/datasets/issues/6067/events | https://github.com/huggingface/datasets/pull/6067 | 1,819,919,025 | PR_kwDODunzps5WT7EQ | 6,067 | fix tqdm lock | [] | closed | false | null | 3 | 2023-07-25T09:32:16Z | 2023-07-25T10:02:43Z | 2023-07-25T09:54:12Z | null | close https://github.com/huggingface/datasets/issues/6066 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... |
https://api.github.com/repos/huggingface/datasets/issues/181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/181/comments | https://api.github.com/repos/huggingface/datasets/issues/181/events | https://github.com/huggingface/datasets/issues/181 | 622,634,420 | MDU6SXNzdWU2MjI2MzQ0MjA= | 181 | Cannot upload my own dataset | [] | closed | false | null | 6 | 2020-05-21T16:45:52Z | 2020-06-18T22:14:42Z | 2020-06-18T22:14:42Z | null | I look into `nlp-cli` and `user.py` to learn how to upload my own data.
It is supposed to work like this
- Register to get username, password at huggingface.co
- `nlp-cli login` and type username, passworld
- I have a single file to upload at `./ttc/ttc_freq_extra.csv`
- `nlp-cli upload ttc/ttc_freq_extra.csv`
But I got this error.
```
2020-05-21 16:33:52.722464: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1
About to upload file /content/ttc/ttc_freq_extra.csv to S3 under filename ttc/ttc_freq_extra.csv and namespace korakot
Proceed? [Y/n] y
Uploading... This might take a while if files are large
Traceback (most recent call last):
File "/usr/local/bin/nlp-cli", line 33, in <module>
service.run()
File "/usr/local/lib/python3.6/dist-packages/nlp/commands/user.py", line 234, in run
token=token, filename=filename, filepath=filepath, organization=self.args.organization
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 141, in presign_and_upload
urls = self.presign(token, filename=filename, organization=organization)
File "/usr/local/lib/python3.6/dist-packages/nlp/hf_api.py", line 132, in presign
return PresignedUrl(**d)
TypeError: __init__() got an unexpected keyword argument 'cdn'
``` | {
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"It's my misunderstanding. I cannot just upload a csv. I need to write a dataset loading script too.",
"I now try with the sample `datasets/csv` folder. \r\n\r\n nlp-cli upload csv\r\n\r\nThe error is still the same\r\n\r\n```\r\n2020-05-21 17:20:56.394659: I tensorflow/stream_executor/platform/default/dso_loa... |
https://api.github.com/repos/huggingface/datasets/issues/1244 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1244/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1244/comments | https://api.github.com/repos/huggingface/datasets/issues/1244/events | https://github.com/huggingface/datasets/pull/1244 | 758,384,417 | MDExOlB1bGxSZXF1ZXN0NTMzNTY1ODMz | 1,244 | arxiv dataset added | [] | closed | false | null | 0 | 2020-12-07T10:32:54Z | 2020-12-07T11:04:23Z | 2020-12-07T11:04:23Z | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3476 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3476/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3476/comments | https://api.github.com/repos/huggingface/datasets/issues/3476/events | https://github.com/huggingface/datasets/pull/3476 | 1,087,622,872 | PR_kwDODunzps4wOZ8a | 3,476 | Extend support for streaming datasets that use ET.parse | [] | closed | false | null | 0 | 2021-12-23T11:18:46Z | 2021-12-23T15:34:30Z | 2021-12-23T15:34:30Z | null | This PR extends the support in streaming mode for datasets that use `ET.parse`, by patching the function.
This PR adds support for streaming mode to datasets:
1. ami
1. assin
1. assin2
1. counter
1. enriched_web_nlg
1. europarl_bilingual
1. hyperpartisan_news_detection
1. polsum
1. qa4mre
1. quail
1. ted_talks_iwslt
1. udhr
1. web_nlg
1. winograd_wsc
CC: @severo | {
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https://api.github.com/repos/huggingface/datasets/issues/2452 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2452/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2452/comments | https://api.github.com/repos/huggingface/datasets/issues/2452/events | https://github.com/huggingface/datasets/issues/2452 | 913,603,877 | MDU6SXNzdWU5MTM2MDM4Nzc= | 2,452 | MRPC test set differences between torch and tensorflow datasets | [
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] | closed | false | null | 1 | 2021-06-07T14:20:26Z | 2021-06-07T14:34:32Z | 2021-06-07T14:34:32Z | null | ## Describe the bug
When using `load_dataset("glue", "mrpc")` to load the MRPC dataset, the test set includes the labels. When using `tensorflow_datasets.load('glue/{}'.format('mrpc'))` to load the dataset the test set does not contain the labels. There should be consistency between torch and tensorflow ways of importing the GLUE datasets.
## Steps to reproduce the bug
Minimal working code
```python
from datasets import load_dataset
import tensorflow as tf
import tensorflow_datasets
# torch
dataset = load_dataset("glue", "mrpc")
# tf
data = tensorflow_datasets.load('glue/{}'.format('mrpc'))
data = list(data['test'].as_numpy_iterator())
for i in range(40,50):
tf_sentence1 = data[i]['sentence1'].decode("utf-8")
tf_sentence2 = data[i]['sentence2'].decode("utf-8")
tf_label = data[i]['label']
index = data[i]['idx']
print('Index {}'.format(index))
torch_sentence1 = dataset['test']['sentence1'][index]
torch_sentence2 = dataset['test']['sentence2'][index]
torch_label = dataset['test']['label'][index]
print('Tensorflow: \n\tSentence1 {}\n\tSentence2 {}\n\tLabel {}'.format(tf_sentence1, tf_sentence2, tf_label))
print('Torch: \n\tSentence1 {}\n\tSentence2 {}\n\tLabel {}'.format(torch_sentence1, torch_sentence2, torch_label))
```
Sample output
```
Index 954
Tensorflow:
Sentence1 Sabri Yakou , an Iraqi native who is a legal U.S. resident , appeared before a federal magistrate yesterday on charges of violating U.S. arms-control laws .
Sentence2 The elder Yakou , an Iraqi native who is a legal U.S. resident , appeared before a federal magistrate Wednesday on charges of violating U.S. arms control laws .
Label -1
Torch:
Sentence1 Sabri Yakou , an Iraqi native who is a legal U.S. resident , appeared before a federal magistrate yesterday on charges of violating U.S. arms-control laws .
Sentence2 The elder Yakou , an Iraqi native who is a legal U.S. resident , appeared before a federal magistrate Wednesday on charges of violating U.S. arms control laws .
Label 1
Index 711
Tensorflow:
Sentence1 Others keep records sealed for as little as five years or as much as 30 .
Sentence2 Some states make them available immediately ; others keep them sealed for as much as 30 years .
Label -1
Torch:
Sentence1 Others keep records sealed for as little as five years or as much as 30 .
Sentence2 Some states make them available immediately ; others keep them sealed for as much as 30 years .
Label 0
```
## Expected results
I would expect the datasets to be independent of whether I am working with torch or tensorflow.
## Actual results
Test set labels are provided in the `datasets.load_datasets()` for MRPC. However MRPC is the only task where the test set labels are not -1.
## Environment info
- `datasets` version: 1.7.0
- Platform: Linux-5.4.109+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.10
- PyArrow version: 3.0.0
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"Realized that `tensorflow_datasets` is not provided by Huggingface and should therefore raise the issue there."
] |
https://api.github.com/repos/huggingface/datasets/issues/3119 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3119/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3119/comments | https://api.github.com/repos/huggingface/datasets/issues/3119/events | https://github.com/huggingface/datasets/issues/3119 | 1,031,328,044 | I_kwDODunzps49eNEs | 3,119 | Add OpenSLR 83 - Crowdsourced high-quality UK and Ireland English Dialect speech | [
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] | closed | false | null | 1 | 2021-10-20T12:05:07Z | 2021-10-22T19:00:52Z | 2021-10-22T08:30:22Z | null | ## Adding a Dataset
- **Name:** *openslr**
- **Description:** *Data set which contains male and female recordings of English from various dialects of the UK and Ireland.*
- **Paper:** *https://www.openslr.org/resources/83/about.html*
- **Data:** *Eleven separate data files can be found via https://www.openslr.org/resources/83/*
- **Motivation:** *Increase english ASR data with UK and Irish dialects*
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
The *openslr* dataset already exists, this will add additional subset, *SLR83*. | {
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"Ugh. The index files for SLR83 are CSV, not TSV. I need to add logic to process these index files."
] |
https://api.github.com/repos/huggingface/datasets/issues/1939 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1939/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1939/comments | https://api.github.com/repos/huggingface/datasets/issues/1939/events | https://github.com/huggingface/datasets/issues/1939 | 815,680,510 | MDU6SXNzdWU4MTU2ODA1MTA= | 1,939 | [firewalled env] OFFLINE mode | [] | closed | false | null | 7 | 2021-02-24T17:13:42Z | 2021-03-05T05:09:54Z | 2021-03-05T05:09:54Z | null | This issue comes from a need to be able to run `datasets` in a firewalled env, which currently makes the software hang until it times out, as it's unable to complete the network calls.
I propose the following approach to solving this problem, using the example of `run_seq2seq.py` as a sample program. There are 2 possible ways to going about it.
## 1. Manual
manually prepare data and metrics files, that is transfer to the firewalled instance the dataset and the metrics and run:
```
DATASETS_OFFLINE=1 run_seq2seq.py --train_file xyz.csv --validation_file xyz.csv ...
```
`datasets` must not make any network calls and if there is a logic to do that and something is missing it should assert that this or that action requires network and therefore it can't proceed.
## 2. Automatic
In some clouds one can prepare a datastorage ahead of time with a normal networked environment but which doesn't have gpus and then one switches to the gpu instance which is firewalled, but it can access all the cached data. This is the ideal situation, since in this scenario we don't have to do anything manually, but simply run the same application twice:
1. on the non-firewalled instance:
```
run_seq2seq.py --dataset_name wmt16 --dataset_config ro-en ...
```
which should download and cached everything.
2. and then immediately after on the firewalled instance, which shares the same filesystem
```
DATASETS_OFFLINE=1 run_seq2seq.py --dataset_name wmt16 --dataset_config ro-en ...
```
and the metrics and datasets should be cached by the invocation number 1 and any network calls be skipped and if the logic is missing data it should assert and not try to fetch any data from online.
## Common Issues
1. for example currently `datasets` tries to look up online datasets if the files contain json or csv, despite the paths already provided
```
if dataset and path in _PACKAGED_DATASETS_MODULES:
```
2. it has an issue with metrics. e.g. I had to manually copy `rouge/rouge.py` from the `datasets` repo to the current dir - or it was hanging.
I had to comment out `head_hf_s3(...)` calls to make things work. So all those `try: head_hf_s3(...)` shouldn't be tried with `DATASETS_OFFLINE=1`
Here is the corresponding issue for `transformers`: https://github.com/huggingface/transformers/issues/10379
Thanks. | {
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} | https://api.github.com/repos/huggingface/datasets/issues/1939/timeline | null | completed | null | null | false | [
"Thanks for reporting and for all the details and suggestions.\r\n\r\nI'm totally in favor of having a HF_DATASETS_OFFLINE env variable to disable manually all the connection checks, remove retries etc.\r\n\r\nMoreover you may know that the use case that you are mentioning is already supported from `datasets` 1.3.0... |
https://api.github.com/repos/huggingface/datasets/issues/312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/312/comments | https://api.github.com/repos/huggingface/datasets/issues/312/events | https://github.com/huggingface/datasets/issues/312 | 645,025,561 | MDU6SXNzdWU2NDUwMjU1NjE= | 312 | [Feature request] Add `shard()` method to dataset | [] | closed | false | null | 2 | 2020-06-24T22:48:33Z | 2020-07-06T12:35:36Z | 2020-07-06T12:35:36Z | null | Currently, to shard a dataset into 10 pieces on different ranks, you can run
```python
rank = 3 # for example
size = 10
dataset = nlp.load_dataset('wikitext', 'wikitext-2-raw-v1', split=f"train[{rank*10}%:{(rank+1)*10}%]")
```
However, this breaks down if you have a number of ranks that doesn't divide cleanly into 100, such as 64 ranks. Is there interest in adding a method shard() that looks like this?
```python
rank = 3
size = 64
dataset = nlp.load_dataset("wikitext", "wikitext-2-raw-v1", split="train").shard(rank=rank, size=size)
```
TensorFlow has a similar API: https://www.tensorflow.org/api_docs/python/tf/data/Dataset#shard. I'd be happy to contribute this code. | {
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} | https://api.github.com/repos/huggingface/datasets/issues/312/timeline | null | completed | null | null | false | [
"Hi Jared,\r\nInteresting, thanks for raising this question. You can also do that after loading with `dataset.select()` or `dataset.filter()` which let you keep only a specific subset of rows in a dataset.\r\nWhat is your use-case for sharding?",
"Thanks for the pointer to those functions! It's still a little mor... |
https://api.github.com/repos/huggingface/datasets/issues/3760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3760/comments | https://api.github.com/repos/huggingface/datasets/issues/3760/events | https://github.com/huggingface/datasets/issues/3760 | 1,144,804,558 | I_kwDODunzps5EPFTO | 3,760 | Unable to view the Gradio flagged call back dataset | [
{
"color": "E5583E",
"default": false,
"description": "Related to the dataset viewer on huggingface.co",
"id": 3470211881,
"name": "dataset-viewer",
"node_id": "LA_kwDODunzps7O1zsp",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset-viewer"
}
] | closed | false | null | 5 | 2022-02-19T17:45:08Z | 2022-03-22T07:12:11Z | 2022-03-22T07:12:11Z | null | ## Dataset viewer issue for '*savtadepth-flags*'
**Link:** *[savtadepth-flags](https://huggingface.co/datasets/kingabzpro/savtadepth-flags)*
*with the Gradio 2.8.1 the dataset viers stopped working. I tried to add values manually but its not working. The dataset is also not showing the link with the app https://huggingface.co/spaces/kingabzpro/savtadepth.*
Am I the one who added this dataset ? Yes
| {
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} | https://api.github.com/repos/huggingface/datasets/issues/3760/timeline | null | completed | null | null | false | [
"Hi @kingabzpro.\r\n\r\nI think you need to create a loading script that creates the dataset from the CSV file and the image paths.\r\n\r\nAs example, you could have a look at the Food-101 dataset: https://huggingface.co/datasets/food101\r\n- Loading script: https://huggingface.co/datasets/food101/blob/main/food101... |
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