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https://api.github.com/repos/huggingface/datasets/issues/5263 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5263/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5263/comments | https://api.github.com/repos/huggingface/datasets/issues/5263/events | https://github.com/huggingface/datasets/issues/5263 | 1,455,252,626 | I_kwDODunzps5WvWSS | 5,263 | Save a dataset in a determined number of shards | [
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] | closed | false | null | 0 | 2022-11-18T14:43:54Z | 2022-12-14T18:22:59Z | 2022-12-14T18:22:59Z | null | This is useful to distribute the shards to training nodes.
This can be implemented in `save_to_disk` and can also leverage multiprocessing to speed up the process | {
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https://api.github.com/repos/huggingface/datasets/issues/1105 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1105/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1105/comments | https://api.github.com/repos/huggingface/datasets/issues/1105/events | https://github.com/huggingface/datasets/pull/1105 | 757,024,162 | MDExOlB1bGxSZXF1ZXN0NTMyNDY4NDIw | 1,105 | add xquad_r dataset | [] | closed | false | null | 2 | 2020-12-04T11:19:35Z | 2020-12-04T16:37:00Z | 2020-12-04T16:37:00Z | null | {
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"looks like this PR includes changes in many files than the ones for xquad_r, could you create a new branch and a new PR ?",
"Sure, I will close this then.\r\n"
] | |
https://api.github.com/repos/huggingface/datasets/issues/2828 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2828/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2828/comments | https://api.github.com/repos/huggingface/datasets/issues/2828/events | https://github.com/huggingface/datasets/pull/2828 | 977,181,517 | MDExOlB1bGxSZXF1ZXN0NzE3OTYwODg3 | 2,828 | Add code-mixed Kannada Hope speech dataset | [] | closed | false | null | 0 | 2021-08-23T15:55:09Z | 2021-10-01T17:21:03Z | 2021-10-01T17:21:03Z | null | ## Adding a Dataset
- **Name:** *KanHope*
- **Description:** *A code-mixed English-Kannada dataset for Hope speech detection*
- **Paper:** *https://arxiv.org/abs/2108.04616*
- **Data:** *https://github.com/adeepH/KanHope/tree/main/dataset*
- **Motivation:** *The dataset is amongst the very few resources available for code-mixed low-resourced Dravidian languages of India* | {
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https://api.github.com/repos/huggingface/datasets/issues/4250 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4250/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4250/comments | https://api.github.com/repos/huggingface/datasets/issues/4250/events | https://github.com/huggingface/datasets/pull/4250 | 1,219,093,830 | PR_kwDODunzps429yjN | 4,250 | Bump PyArrow Version to 6 | [] | closed | false | null | 4 | 2022-04-28T18:10:50Z | 2022-05-04T09:36:52Z | 2022-05-04T09:29:46Z | null | Fixes #4152
This PR updates the PyArrow version to 6 in setup.py, CI job files .circleci/config.yaml and .github/workflows/benchmarks.yaml files.
This will fix ArrayND error which exists in pyarrow 5. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Updated meta.yaml as well. Thanks.",
"I'm OK with bumping PyArrow to version 6 to match the version in Colab, but maybe a better solution would be to stop using extension types in our codebase to avoid similar issues.",
"> but ma... |
https://api.github.com/repos/huggingface/datasets/issues/3135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3135/comments | https://api.github.com/repos/huggingface/datasets/issues/3135/events | https://github.com/huggingface/datasets/issues/3135 | 1,033,294,299 | I_kwDODunzps49ltHb | 3,135 | Make inspect.get_dataset_config_names always return a non-empty list of configs | [
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"default": fals... | closed | false | null | 2 | 2021-10-22T08:02:50Z | 2021-10-28T05:44:49Z | 2021-10-28T05:44:49Z | null | **Is your feature request related to a problem? Please describe.**
Currently, some datasets have a configuration, while others don't. It would be simpler for the user to always have configuration names to refer to
**Describe the solution you'd like**
In that sense inspect.get_dataset_config_names should always return at least one configuration name, be it `default` or `Check___region_1` (for community datasets like `Check/region_1`).
https://github.com/huggingface/datasets/blob/c5747a5e1dde2670b7f2ca6e79e2ffd99dff85af/src/datasets/inspect.py#L161
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"Hi @severo, I guess this issue requests not only to be able to access the configuration name (by using `inspect.get_dataset_config_names`), but the configuration itself as well (I mean you use the name to get the configuration afterwards, maybe using `builder_cls.builder_configs`), is this right?",
"Yes, maybe t... |
https://api.github.com/repos/huggingface/datasets/issues/1428 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1428/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1428/comments | https://api.github.com/repos/huggingface/datasets/issues/1428/events | https://github.com/huggingface/datasets/pull/1428 | 760,736,726 | MDExOlB1bGxSZXF1ZXN0NTM1NTE4MzIy | 1,428 | Add twi wordsim353 | [] | closed | false | null | 0 | 2020-12-09T22:59:19Z | 2020-12-11T13:57:32Z | 2020-12-11T13:57:32Z | null | Add twi WordSim 353 | {
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https://api.github.com/repos/huggingface/datasets/issues/3471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3471/comments | https://api.github.com/repos/huggingface/datasets/issues/3471/events | https://github.com/huggingface/datasets/pull/3471 | 1,086,588,074 | PR_kwDODunzps4wLAk6 | 3,471 | Fix Tashkeela dataset to yield stripped text | [] | closed | false | null | 0 | 2021-12-22T08:41:30Z | 2021-12-22T10:12:08Z | 2021-12-22T10:12:07Z | null | This PR:
- Yields stripped text
- Fix path for Windows
- Adds license
- Adds more info in dataset card
Close bigscience-workshop/data_tooling#279 | {
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https://api.github.com/repos/huggingface/datasets/issues/5832 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5832/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5832/comments | https://api.github.com/repos/huggingface/datasets/issues/5832/events | https://github.com/huggingface/datasets/issues/5832 | 1,702,135,336 | I_kwDODunzps5ldIYo | 5,832 | 404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased | [] | closed | false | null | 1 | 2023-05-09T14:14:59Z | 2023-05-09T14:25:59Z | 2023-05-09T14:25:59Z | null | ### Describe the bug
Running [Bert-Large-Cased](https://huggingface.co/bert-large-cased) model causes `HTTPError`, with the following traceback-
```
HTTPError Traceback (most recent call last)
<ipython-input-6-5c580443a1ad> in <module>
----> 1 tokenizer = BertTokenizer.from_pretrained('bert-large-cased')
~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/transformers/tokenization_utils_base.py in from_pretrained(cls, pretrained_model_name_or_path, *init_inputs, **kwargs)
1646 # At this point pretrained_model_name_or_path is either a directory or a model identifier name
1647 fast_tokenizer_file = get_fast_tokenizer_file(
-> 1648 pretrained_model_name_or_path, revision=revision, use_auth_token=use_auth_token
1649 )
1650 additional_files_names = {
~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/transformers/tokenization_utils_base.py in get_fast_tokenizer_file(path_or_repo, revision, use_auth_token)
3406 """
3407 # Inspect all files from the repo/folder.
-> 3408 all_files = get_list_of_files(path_or_repo, revision=revision, use_auth_token=use_auth_token)
3409 tokenizer_files_map = {}
3410 for file_name in all_files:
~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/transformers/file_utils.py in get_list_of_files(path_or_repo, revision, use_auth_token)
1685 token = None
1686 model_info = HfApi(endpoint=HUGGINGFACE_CO_RESOLVE_ENDPOINT).model_info(
-> 1687 path_or_repo, revision=revision, token=token
1688 )
1689 return [f.rfilename for f in model_info.siblings]
~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/huggingface_hub/hf_api.py in model_info(self, repo_id, revision, token)
246 )
247 r = requests.get(path, headers=headers)
--> 248 r.raise_for_status()
249 d = r.json()
250 return ModelInfo(**d)
~/miniconda3/envs/cmd-chall/lib/python3.7/site-packages/requests/models.py in raise_for_status(self)
951
952 if http_error_msg:
--> 953 raise HTTPError(http_error_msg, response=self)
954
955 def close(self):
HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased
```
I have also tried running in offline mode, as [discussed here](https://huggingface.co/docs/transformers/installation#offline-mode)
```
HF_DATASETS_OFFLINE=1
TRANSFORMERS_OFFLINE=1
```
### Steps to reproduce the bug
1. `from transformers import BertTokenizer, BertModel`
2. `tokenizer = BertTokenizer.from_pretrained('bert-large-cased')`
### Expected behavior
Run without the HTTP error.
### Environment info
| # Name | Version | Build | Channel | |
|--------------------|------------|-----------------------------|---------|---|
| _libgcc_mutex | 0.1 | main | | |
| _openmp_mutex | 4.5 | 1_gnu | | |
| _pytorch_select | 0.1 | cpu_0 | | |
| appdirs | 1.4.4 | pypi_0 | pypi | |
| backcall | 0.2.0 | pypi_0 | pypi | |
| blas | 1.0 | mkl | | |
| bzip2 | 1.0.8 | h7b6447c_0 | | |
| ca-certificates | 2021.7.5 | h06a4308_1 | | |
| certifi | 2021.5.30 | py37h06a4308_0 | | |
| cffi | 1.14.6 | py37h400218f_0 | | |
| charset-normalizer | 2.0.3 | pypi_0 | pypi | |
| click | 8.0.1 | pypi_0 | pypi | |
| colorama | 0.4.4 | pypi_0 | pypi | |
| cudatoolkit | 11.1.74 | h6bb024c_0 | nvidia | |
| cycler | 0.11.0 | pypi_0 | pypi | |
| decorator | 5.0.9 | pypi_0 | pypi | |
| docker-pycreds | 0.4.0 | pypi_0 | pypi | |
| docopt | 0.6.2 | pypi_0 | pypi | |
| dominate | 2.6.0 | pypi_0 | pypi | |
| ffmpeg | 4.3 | hf484d3e_0 | pytorch | |
| filelock | 3.0.12 | pypi_0 | pypi | |
| fonttools | 4.38.0 | pypi_0 | pypi | |
| freetype | 2.10.4 | h5ab3b9f_0 | | |
| gitdb | 4.0.7 | pypi_0 | pypi | |
| gitpython | 3.1.18 | pypi_0 | pypi | |
| gmp | 6.2.1 | h2531618_2 | | |
| gnutls | 3.6.15 | he1e5248_0 | | |
| huggingface-hub | 0.0.12 | pypi_0 | pypi | |
| humanize | 3.10.0 | pypi_0 | pypi | |
| idna | 3.2 | pypi_0 | pypi | |
| importlib-metadata | 4.6.1 | pypi_0 | pypi | |
| intel-openmp | 2019.4 | 243 | | |
| ipdb | 0.13.9 | pypi_0 | pypi | |
| ipython | 7.25.0 | pypi_0 | pypi | |
| ipython-genutils | 0.2.0 | pypi_0 | pypi | |
| jedi | 0.18.0 | pypi_0 | pypi | |
| joblib | 1.0.1 | pypi_0 | pypi | |
| jpeg | 9b | h024ee3a_2 | | |
| jsonpickle | 1.5.2 | pypi_0 | pypi | |
| kiwisolver | 1.4.4 | pypi_0 | pypi | |
| lame | 3.100 | h7b6447c_0 | | |
| lcms2 | 2.12 | h3be6417_0 | | |
| ld_impl_linux-64 | 2.35.1 | h7274673_9 | | |
| libffi | 3.3 | he6710b0_2 | | |
| libgcc-ng | 9.3.0 | h5101ec6_17 | | |
| libgomp | 9.3.0 | h5101ec6_17 | | |
| libiconv | 1.15 | h63c8f33_5 | | |
| libidn2 | 2.3.2 | h7f8727e_0 | | |
| libmklml | 2019.0.5 | 0 | | |
| libpng | 1.6.37 | hbc83047_0 | | |
| libstdcxx-ng | 9.3.0 | hd4cf53a_17 | | |
| libtasn1 | 4.16.0 | h27cfd23_0 | | |
| libtiff | 4.2.0 | h85742a9_0 | | |
| libunistring | 0.9.10 | h27cfd23_0 | | |
| libuv | 1.40.0 | h7b6447c_0 | | |
| libwebp-base | 1.2.0 | h27cfd23_0 | | |
| lz4-c | 1.9.3 | h2531618_0 | | |
| matplotlib | 3.5.3 | pypi_0 | pypi | |
| matplotlib-inline | 0.1.2 | pypi_0 | pypi | |
| mergedeep | 1.3.4 | pypi_0 | pypi | |
| mkl | 2020.2 | 256 | | |
| mkl-service | 2.3.0 | py37he8ac12f_0 | | |
| mkl_fft | 1.3.0 | py37h54f3939_0 | | |
| mkl_random | 1.1.1 | py37h0573a6f_0 | | |
| msgpack | 1.0.2 | pypi_0 | pypi | |
| munch | 2.5.0 | pypi_0 | pypi | |
| ncurses | 6.2 | he6710b0_1 | | |
| nettle | 3.7.3 | hbbd107a_1 | | |
| ninja | 1.10.2 | hff7bd54_1 | | |
| nltk | 3.8.1 | pypi_0 | pypi | |
| numpy | 1.19.2 | py37h54aff64_0 | | |
| numpy-base | 1.19.2 | py37hfa32c7d_0 | | |
| olefile | 0.46 | py37_0 | | |
| openh264 | 2.1.0 | hd408876_0 | | |
| openjpeg | 2.3.0 | h05c96fa_1 | | |
| openssl | 1.1.1k | h27cfd23_0 | | |
| packaging | 21.0 | pypi_0 | pypi | |
| pandas | 1.3.1 | pypi_0 | pypi | |
| parso | 0.8.2 | pypi_0 | pypi | |
| pathtools | 0.1.2 | pypi_0 | pypi | |
| pexpect | 4.8.0 | pypi_0 | pypi | |
| pickleshare | 0.7.5 | pypi_0 | pypi | |
| pillow | 8.3.1 | py37h2c7a002_0 | | |
| pip | 21.1.3 | py37h06a4308_0 | | |
| prompt-toolkit | 3.0.19 | pypi_0 | pypi | |
| protobuf | 4.21.12 | pypi_0 | pypi | |
| psutil | 5.8.0 | pypi_0 | pypi | |
| ptyprocess | 0.7.0 | pypi_0 | pypi | |
| py-cpuinfo | 8.0.0 | pypi_0 | pypi | |
| pycparser | 2.20 | py_2 | | |
| pygments | 2.9.0 | pypi_0 | pypi | |
| pyparsing | 2.4.7 | pypi_0 | pypi | |
| python | 3.7.10 | h12debd9_4 | | |
| python-dateutil | 2.8.2 | pypi_0 | pypi | |
| pytorch | 1.9.0 | py3.7_cuda11.1_cudnn8.0.5_0 | pytorch | |
| pytz | 2021.1 | pypi_0 | pypi | |
| pyyaml | 5.4.1 | pypi_0 | pypi | |
| readline | 8.1 | h27cfd23_0 | | |
| regex | 2022.10.31 | pypi_0 | pypi | |
| requests | 2.26.0 | pypi_0 | pypi | |
| sacred | 0.8.2 | pypi_0 | pypi | |
| sacremoses | 0.0.45 | pypi_0 | pypi | |
| scikit-learn | 0.24.2 | pypi_0 | pypi | |
| scipy | 1.7.0 | pypi_0 | pypi | |
| sentry-sdk | 1.15.0 | pypi_0 | pypi | |
| setproctitle | 1.3.2 | pypi_0 | pypi | |
| setuptools | 52.0.0 | py37h06a4308_0 | | |
| six | 1.16.0 | pyhd3eb1b0_0 | | |
| smmap | 4.0.0 | pypi_0 | pypi | |
| sqlite | 3.36.0 | hc218d9a_0 | | |
| threadpoolctl | 2.2.0 | pypi_0 | pypi | |
| tk | 8.6.10 | hbc83047_0 | | |
| tokenizers | 0.10.3 | pypi_0 | pypi | |
| toml | 0.10.2 | pypi_0 | pypi | |
| torchaudio | 0.9.0 | py37 | pytorch | |
| torchvision | 0.10.0 | py37_cu111 | pytorch | |
| tqdm | 4.61.2 | pypi_0 | pypi | |
| traitlets | 5.0.5 | pypi_0 | pypi | |
| transformers | 4.9.1 | pypi_0 | pypi | |
| typing-extensions | 3.10.0.0 | hd3eb1b0_0 | | |
| typing_extensions | 3.10.0.0 | pyh06a4308_0 | | |
| urllib3 | 1.26.14 | pypi_0 | pypi | |
| wandb | 0.13.10 | pypi_0 | pypi | |
| wcwidth | 0.2.5 | pypi_0 | pypi | |
| wheel | 0.36.2 | pyhd3eb1b0_0 | | |
| wrapt | 1.12.1 | pypi_0 | pypi | |
| xz | 5.2.5 | h7b6447c_0 | | |
| zipp | 3.5.0 | pypi_0 | pypi | |
| zlib | 1.2.11 | h7b6447c_3 | | |
| zstd | 1.4.9 | haebb681_0 | | | | {
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"moved to https://github.com/huggingface/transformers/issues/23233"
] |
https://api.github.com/repos/huggingface/datasets/issues/6018 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6018/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6018/comments | https://api.github.com/repos/huggingface/datasets/issues/6018/events | https://github.com/huggingface/datasets/pull/6018 | 1,799,411,999 | PR_kwDODunzps5VOmKY | 6,018 | test1 | [] | closed | false | null | 1 | 2023-07-11T17:25:49Z | 2023-07-20T10:11:41Z | 2023-07-20T10:11:41Z | null | null | {
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"We no longer host datasets in this repo. You should use the HF Hub instead."
] |
https://api.github.com/repos/huggingface/datasets/issues/3881 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3881/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3881/comments | https://api.github.com/repos/huggingface/datasets/issues/3881/events | https://github.com/huggingface/datasets/issues/3881 | 1,164,452,005 | I_kwDODunzps5FaCCl | 3,881 | How to use Image folder | [
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] | closed | false | null | 8 | 2022-03-09T21:18:52Z | 2022-03-11T08:45:52Z | 2022-03-11T08:45:52Z | null | Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
/tmp/ipykernel_33/1648737256.py in <module>
----> 1 load_dataset("imagefolder", data_dir="./my-dataset")
/opt/conda/lib/python3.7/site-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, script_version, **config_kwargs)
1684 revision=revision,
1685 use_auth_token=use_auth_token,
-> 1686 **config_kwargs,
1687 )
1688
/opt/conda/lib/python3.7/site-packages/datasets/load.py in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, use_auth_token, script_version, **config_kwargs)
1511 download_config.use_auth_token = use_auth_token
1512 dataset_module = dataset_module_factory(
-> 1513 path, revision=revision, download_config=download_config, download_mode=download_mode, data_files=data_files
1514 )
1515
/opt/conda/lib/python3.7/site-packages/datasets/load.py in dataset_module_factory(path, revision, download_config, download_mode, force_local_path, dynamic_modules_path, data_files, **download_kwargs)
1200 f"Couldn't find a dataset script at {relative_to_absolute_path(combined_path)} or any data file in the same directory. "
1201 f"Couldn't find '{path}' on the Hugging Face Hub either: {type(e1).__name__}: {e1}"
-> 1202 ) from None
1203 raise e1 from None
1204 else:
FileNotFoundError: Couldn't find a dataset script at /kaggle/working/imagefolder/imagefolder.py or any data file in the same directory. Couldn't find 'imagefolder' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py
``` | {
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} | https://api.github.com/repos/huggingface/datasets/issues/3881/timeline | null | completed | null | null | false | [
"Even this from docs throw same error\r\n```\r\ndataset = load_dataset(\"imagefolder\", data_files=\"https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip\", split=\"train\")\r\n\r\n```",
"Hi @INF800,\r\n\r\nPlease note that the `imagefolder` feature enhanc... |
https://api.github.com/repos/huggingface/datasets/issues/3448 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3448/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3448/comments | https://api.github.com/repos/huggingface/datasets/issues/3448/events | https://github.com/huggingface/datasets/issues/3448 | 1,083,231,080 | I_kwDODunzps5AkMto | 3,448 | JSONDecodeError with HuggingFace dataset viewer | [
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] | closed | false | null | 3 | 2021-12-17T12:52:41Z | 2022-02-24T09:10:26Z | 2022-02-24T09:10:26Z | null | ## Dataset viewer issue for 'pubmed_neg'
**Link:** https://huggingface.co/datasets/IGESML/pubmed_neg
I am getting the error:
Status code: 400
Exception: JSONDecodeError
Message: Expecting property name enclosed in double quotes: line 61 column 2 (char 1202)
I have checked all files - I am not using single quotes anywhere. Not sure what is causing this issue.
Am I the one who added this dataset ? Yes
| {
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} | https://api.github.com/repos/huggingface/datasets/issues/3448/timeline | null | completed | null | null | false | [
"Hi ! I think the issue comes from the dataset_infos.json file: it has the \"flat\" field twice.\r\n\r\nCan you try deleting this file and regenerating it please ?",
"Thanks! That fixed that, but now I am getting:\r\nServer Error\r\nStatus code: 400\r\nException: KeyError\r\nMessage: 'feature'\r\n\r\n... |
https://api.github.com/repos/huggingface/datasets/issues/1097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1097/comments | https://api.github.com/repos/huggingface/datasets/issues/1097/events | https://github.com/huggingface/datasets/pull/1097 | 756,955,729 | MDExOlB1bGxSZXF1ZXN0NTMyNDExNzQ4 | 1,097 | Add MSRA NER labels | [] | closed | false | null | 0 | 2020-12-04T09:38:16Z | 2020-12-04T13:31:59Z | 2020-12-04T13:31:58Z | null | Fixes #940 | {
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https://api.github.com/repos/huggingface/datasets/issues/707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/707/comments | https://api.github.com/repos/huggingface/datasets/issues/707/events | https://github.com/huggingface/datasets/issues/707 | 713,954,666 | MDU6SXNzdWU3MTM5NTQ2NjY= | 707 | Requirements should specify pyarrow<1 | [] | closed | false | null | 7 | 2020-10-02T23:39:39Z | 2020-12-04T08:22:39Z | 2020-10-04T20:50:28Z | null | I was looking at the docs on [Perplexity](https://huggingface.co/transformers/perplexity.html) via GPT2. When you load datasets and try to load Wikitext, you get the error,
```
module 'pyarrow' has no attribute 'PyExtensionType'
```
I traced it back to datasets having installed PyArrow 1.0.1 but there's not pinning in the setup file.
https://github.com/huggingface/datasets/blob/e86a2a8f869b91654e782c9133d810bb82783200/setup.py#L68
Downgrading by installing `pip install "pyarrow<1"` resolved the issue. | {
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"Hello @mathcass I would want to work on this issue. May I do the same? ",
"@punitaojha, certainly. Feel free to work on this. Let me know if you need any help or clarity.",
"Hello @mathcass \r\n1. I did fork the repository and clone the same on my local system. \r\n\r\n2. Then learnt about how we can publish o... |
https://api.github.com/repos/huggingface/datasets/issues/2112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2112/comments | https://api.github.com/repos/huggingface/datasets/issues/2112/events | https://github.com/huggingface/datasets/pull/2112 | 841,098,008 | MDExOlB1bGxSZXF1ZXN0NjAwODgyMjA0 | 2,112 | Support for legal NLP datasets (EURLEX and ECtHR cases) | [] | closed | false | null | 0 | 2021-03-25T16:24:17Z | 2021-03-25T18:39:31Z | 2021-03-25T18:34:31Z | null | Add support for two legal NLP datasets:
- EURLEX (https://www.aclweb.org/anthology/P19-1636/)
- ECtHR cases (https://arxiv.org/abs/2103.13084) | {
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https://api.github.com/repos/huggingface/datasets/issues/3899 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3899/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3899/comments | https://api.github.com/repos/huggingface/datasets/issues/3899/events | https://github.com/huggingface/datasets/pull/3899 | 1,166,931,812 | PR_kwDODunzps40UzR3 | 3,899 | Add exact match metric | [] | closed | false | null | 1 | 2022-03-11T22:21:40Z | 2022-03-21T16:10:03Z | 2022-03-21T16:05:35Z | null | Adding the exact match metric and its metric card.
Note: Some of the tests have failed, but I wanted to make a PR anyway so that the rest of the code can be reviewed if anyone has time. I'll look into + work on fixing the failed tests when I'm back online after the weekend | {
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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/4208 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4208/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4208/comments | https://api.github.com/repos/huggingface/datasets/issues/4208/events | https://github.com/huggingface/datasets/pull/4208 | 1,213,716,426 | PR_kwDODunzps42r7bW | 4,208 | Add CMU MoCap Dataset | [
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] | closed | false | null | 11 | 2022-04-24T17:31:08Z | 2022-10-03T09:38:24Z | 2022-10-03T09:36:30Z | null | Resolves #3457
Dataset Request : Add CMU Graphics Lab Motion Capture dataset [#3457](https://github.com/huggingface/datasets/issues/3457)
This PR adds the CMU MoCap Dataset.
The authors didn't respond even after multiple follow ups, so I ended up crawling the website to get categories, subcategories and description information. Some of the subjects do not have category/subcategory/description as well. I am using a subject to categories, subcategories and description map (metadata file).
Currently the loading of the dataset works for "asf/amc" and "avi" formats since they have a single download link. But "c3d" and "mpg" have multiple download links (part archives) and dl_manager.download_and_extract() extracts the files to multiple paths, is there a way to extract these multiple archives into one folder ? Any other way to go about this ?
Any suggestions/inputs on this would be helpful. Thank you.
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"_The documentation is not available anymore as the PR was closed or merged._",
"- Updated the readme.\r\n- Added dummy_data.zip and ran the all the tests.\r\n\r\nThe dataset works for \"asf/amc\" and \"avi\" formats which have a single download link for the complete dataset. But \"c3d\" and \"mpg\" have multiple... |
https://api.github.com/repos/huggingface/datasets/issues/1815 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1815/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1815/comments | https://api.github.com/repos/huggingface/datasets/issues/1815/events | https://github.com/huggingface/datasets/pull/1815 | 800,610,017 | MDExOlB1bGxSZXF1ZXN0NTY3MDY3NjU1 | 1,815 | Add CCAligned Multilingual Dataset | [] | closed | false | null | 7 | 2021-02-03T18:59:52Z | 2021-03-01T12:33:03Z | 2021-03-01T10:36:21Z | null | Hello,
I'm trying to add [CCAligned Multilingual Dataset](http://www.statmt.org/cc-aligned/). This has the potential to close #1756.
This dataset has two types - Document-Pairs, and Sentence-Pairs.
The datasets are huge, so I won't be able to test all of them. At the same time, a user might only want to download one particular language and not all. To provide this feature, `load_dataset`'s `**config_kwargs` should allow some random keyword args, in this case -`language_code`. This will be needed before the dataset is downloaded and extracted.
I'm expecting the usage to be something like -
`load_dataset('ccaligned_multilingual','documents',language_code='en_XX-af_ZA')`. Ofcourse, at a later stage we can provide just two character language codes. This also has an issue where one language has multiple files (`my_MM` and `my_MM_zaw` on the link), but before that the required functionality must be added to `load_dataset`.
It would be great if someone could either tell me an alternative way to do this, or point me to where changes need to be made, if any, apart from the `BuilderConfig` definition.
Additionally, I believe the tests will also have to be modified if this change is made, since it would not be possible to test for any random keyword arguments.
A decent way to go about this would be to provide all the options in a list/dictionary for `language_code` and use that to test the arguments. In essence, this is similar to the pre-trained checkpoint dictionary as `transformers`. That means writing dataset specific tests, or adding something new to dataset generation script to make it easier for everyone to add keyword arguments without having to worry about the tests.
Thanks,
Gunjan
Requesting @lhoestq / @yjernite to review. | {
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"Hi !\r\n\r\nWe already have some datasets that can have many many configurations possible.\r\nTo be able to support that, we allow to subclass BuilderConfig to add as many additional parameters as you may need.\r\nThis way users can load any language they want. For example the [bible_para](https://github.com/huggi... |
https://api.github.com/repos/huggingface/datasets/issues/3711 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3711/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3711/comments | https://api.github.com/repos/huggingface/datasets/issues/3711/events | https://github.com/huggingface/datasets/pull/3711 | 1,134,050,545 | PR_kwDODunzps4ymmlK | 3,711 | Fix the error of _load_table_data function in msr_sqa dataset | [] | closed | false | null | 0 | 2022-02-12T13:20:53Z | 2022-02-12T13:30:43Z | 2022-02-12T13:30:43Z | null | The _load_table_data function from the last version is wrong, it is wrong to use comma to split each row. | {
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https://api.github.com/repos/huggingface/datasets/issues/4391 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4391/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4391/comments | https://api.github.com/repos/huggingface/datasets/issues/4391/events | https://github.com/huggingface/datasets/pull/4391 | 1,244,839,185 | PR_kwDODunzps44RpGv | 4,391 | Refactor column mappings for question answering datasets | [] | closed | false | null | 5 | 2022-05-23T09:13:14Z | 2022-05-24T12:57:00Z | 2022-05-24T12:48:48Z | null | This PR tweaks the keys in the metadata that are used to define the column mapping for question answering datasets. This is needed in order to faithfully reconstruct column names like `answers.text` and `answers.answer_start` from the keys in AutoTrain.
As observed in https://github.com/huggingface/datasets/pull/4367 we cannot use periods `.` in the keys of the YAML tags, so a decision was made to use a flat mapping with underscores. For QA datasets, however, it's handy to be able to reconstruct the nesting -- hence this PR.
cc @sashavor | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks.\r\n> \r\n> I have no visibility about this, but if you say it is more useful for AutoTrain this way...\r\n\r\nThanks for the review @albertvillanova ! Yes, I need some way to reconstruct the original column names with a per... |
https://api.github.com/repos/huggingface/datasets/issues/4065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4065/comments | https://api.github.com/repos/huggingface/datasets/issues/4065/events | https://github.com/huggingface/datasets/pull/4065 | 1,186,722,478 | PR_kwDODunzps41U5rq | 4,065 | Create metric card for METEOR | [] | closed | false | null | 1 | 2022-03-30T16:40:30Z | 2022-03-31T17:12:10Z | 2022-03-31T17:07:50Z | null | Proposing a metric card for METEOR | {
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https://api.github.com/repos/huggingface/datasets/issues/5378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5378/comments | https://api.github.com/repos/huggingface/datasets/issues/5378/events | https://github.com/huggingface/datasets/issues/5378 | 1,503,887,508 | I_kwDODunzps5Zo4CU | 5,378 | The dataset "the_pile", subset "enron_emails" , load_dataset() failure | [] | closed | false | null | 1 | 2022-12-20T02:19:13Z | 2022-12-20T07:52:54Z | 2022-12-20T07:52:54Z | null | ### Describe the bug
When run
"datasets.load_dataset("the_pile","enron_emails")" failure
### Steps to reproduce the bug
Run below code in python cli:
>>> import datasets
>>> datasets.load_dataset("the_pile","enron_emails")
### Expected behavior
Load dataset "the_pile", "enron_emails" successfully.
### Environment info
Copy-and-paste the text below in your GitHub issue.
- `datasets` version: 2.7.1
- Platform: Linux-5.15.0-53-generic-x86_64-with-glibc2.35
- Python version: 3.10.6
- PyArrow version: 10.0.0
- Pandas version: 1.4.3
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"Thanks for reporting @shaoyuta. We are investigating it.\r\n\r\nWe are transferring the issue to \"the_pile\" Community tab on the Hub: https://huggingface.co/datasets/the_pile/discussions/4"
] |
https://api.github.com/repos/huggingface/datasets/issues/832 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/832/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/832/comments | https://api.github.com/repos/huggingface/datasets/issues/832/events | https://github.com/huggingface/datasets/issues/832 | 740,077,228 | MDU6SXNzdWU3NDAwNzcyMjg= | 832 | [GEM] add WikiAuto text simplification dataset | [
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"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request"
}
] | closed | false | null | 0 | 2020-11-10T16:53:23Z | 2020-12-03T13:38:08Z | 2020-12-03T13:38:08Z | null | ## Adding a Dataset
- **Name:** WikiAuto
- **Description:** Sentences in English Wikipedia and their corresponding sentences in Simple English Wikipedia that are written with simpler grammar and word choices. A lot of lexical and syntactic paraphrasing.
- **Paper:** https://www.aclweb.org/anthology/2020.acl-main.709.pdf
- **Data:** https://github.com/chaojiang06/wiki-auto
- **Motivation:** 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/4188 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4188/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4188/comments | https://api.github.com/repos/huggingface/datasets/issues/4188/events | https://github.com/huggingface/datasets/pull/4188 | 1,209,740,957 | PR_kwDODunzps42fpMv | 4,188 | Support streaming cnn_dailymail dataset | [] | closed | false | null | 2 | 2022-04-20T14:04:36Z | 2022-05-11T13:39:06Z | 2022-04-20T15:52:49Z | null | Support streaming cnn_dailymail dataset.
Fix #3969.
CC: @severo | {
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"Did you run the `datasets-cli` command before merging to make sure you generate all the examples ?"
] |
https://api.github.com/repos/huggingface/datasets/issues/3539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3539/comments | https://api.github.com/repos/huggingface/datasets/issues/3539/events | https://github.com/huggingface/datasets/pull/3539 | 1,094,813,242 | PR_kwDODunzps4wlXU4 | 3,539 | Research wording for nc licenses | [] | closed | false | null | 1 | 2022-01-05T23:01:38Z | 2022-01-06T18:58:20Z | 2022-01-06T18:58:19Z | null | null | {
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"The CI failure is about some missing tags or sections in the dataset cards, and is unrelated to the part about non commercial use of this PR. Merging"
] |
https://api.github.com/repos/huggingface/datasets/issues/1802 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1802/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1802/comments | https://api.github.com/repos/huggingface/datasets/issues/1802/events | https://github.com/huggingface/datasets/pull/1802 | 797,924,468 | MDExOlB1bGxSZXF1ZXN0NTY0ODE4NDIy | 1,802 | add github of contributors | [] | closed | false | null | 3 | 2021-02-01T03:49:19Z | 2021-02-03T10:09:52Z | 2021-02-03T10:06:30Z | null | This PR will add contributors GitHub id at the end of every dataset cards. | {
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"@lhoestq Can you confirm if this format is fine? I will update cards based on your feedback.",
"On HuggingFace side we also have a mapping of hf user => github user (GitHub info used to be required when signing up until not long ago – cc @gary149 @beurkinger) so we can also add a link to HF profile",
"All the ... |
https://api.github.com/repos/huggingface/datasets/issues/836 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/836/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/836/comments | https://api.github.com/repos/huggingface/datasets/issues/836/events | https://github.com/huggingface/datasets/issues/836 | 740,187,613 | MDU6SXNzdWU3NDAxODc2MTM= | 836 | load_dataset with 'csv' is not working. while the same file is loading with 'text' mode or with pandas | [
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] | closed | false | null | 8 | 2020-11-10T19:35:40Z | 2021-11-24T16:59:19Z | 2020-11-19T17:35:38Z | null | Hi All
I am trying to load a custom dataset and I am trying to load a single file to make sure the file is loading correctly:
dataset = load_dataset('csv', data_files=files)
When I run it I get:
Downloading and preparing dataset csv/default-35575a1051604c88 (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) tocache/huggingface/datasets/csv/default-35575a1051604c88/0.0.0/49187751790fa4d820300fd4d0707896e5b941f1a9c644652645b866716a4ac4...
I am getting this error:
6a4ac4/csv.py in _generate_tables(self, files)
78 def _generate_tables(self, files):
79 for i, file in enumerate(files):
---> 80 pa_table = pac.read_csv(
81 file,
82 read_options=self.config.pa_read_options,
~/anaconda2/envs/nlp/lib/python3.8/site-packages/pyarrow/_csv.pyx in pyarrow._csv.read_csv()
~/anaconda2/envs/nlp/lib/python3.8/site-packages/pyarrow/error.pxi in pyarrow.lib.pyarrow_internal_check_status()
~/anaconda2/envs/nlp/lib/python3.8/site-packages/pyarrow/error.pxi in pyarrow.lib.check_status()
**ArrowInvalid: straddling object straddles two block boundaries (try to increase block size?)**
The size of the file is 3.5 GB. When I try smaller files I do not have an issue. When I load it with 'text' parser I can see all data but it is not what I need.
There is no issue reading the file with pandas. any idea what could be the issue?
When I am running a different CSV I do not get this line:
(download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size)
Any ideas?
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"Which version of pyarrow do you have ? Could you try to update pyarrow and try again ?",
"Thanks for the fast response. I have the latest version '2.0.0' (I tried to update)\r\nI am working with Python 3.8.5",
"I think that the issue is similar to this one:https://issues.apache.org/jira/browse/ARROW-9612\r\nTh... |
https://api.github.com/repos/huggingface/datasets/issues/113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/113/comments | https://api.github.com/repos/huggingface/datasets/issues/113/events | https://github.com/huggingface/datasets/pull/113 | 618,590,562 | MDExOlB1bGxSZXF1ZXN0NDE4MjkxNjIx | 113 | Adding docstrings and some doc | [] | closed | false | null | 0 | 2020-05-14T23:14:41Z | 2020-05-14T23:22:45Z | 2020-05-14T23:22:44Z | null | Some doc | {
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https://api.github.com/repos/huggingface/datasets/issues/4120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4120/comments | https://api.github.com/repos/huggingface/datasets/issues/4120/events | https://github.com/huggingface/datasets/issues/4120 | 1,195,887,430 | I_kwDODunzps5HR8tG | 4,120 | Representing dictionaries (json) objects as features | [
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] | open | false | null | 0 | 2022-04-07T11:07:41Z | 2022-04-07T11:07:41Z | null | null | In the process of adding a new dataset to the hub, I stumbled upon the inability to represent dictionaries that contain different key names, unknown in advance (and may differ between samples), original asked in the [forum](https://discuss.huggingface.co/t/representing-nested-dictionary-with-different-keys/16442).
For instance:
```
sample1 = {"nps": {
"a": {"id": 0, "text": "text1"},
"b": {"id": 1, "text": "text2"},
}}
sample2 = {"nps": {
"a": {"id": 0, "text": "text1"},
"b": {"id": 1, "text": "text2"},
"c": {"id": 2, "text": "text3"},
}}
sample3 = {"nps": {
"a": {"id": 0, "text": "text1"},
"b": {"id": 1, "text": "text2"},
"c": {"id": 2, "text": "text3"},
"d": {"id": 3, "text": "text4"},
}}
```
the `nps` field cannot be represented as a Feature while maintaining its original structure.
@lhoestq suggested to add JSON as a new feature type, which will solve this problem.
It seems like an alternative solution would be to change the original data format, which isn't an optimal solution in my case. Moreover, JSON is a common structure, that will likely to be useful in future datasets as well. | {
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https://api.github.com/repos/huggingface/datasets/issues/5282 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5282/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5282/comments | https://api.github.com/repos/huggingface/datasets/issues/5282/events | https://github.com/huggingface/datasets/pull/5282 | 1,460,238,928 | PR_kwDODunzps5Det2_ | 5,282 | Release: 2.7.1 | [] | closed | false | null | 0 | 2022-11-22T16:58:54Z | 2022-11-22T17:21:28Z | 2022-11-22T17:21:27Z | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1647/comments | https://api.github.com/repos/huggingface/datasets/issues/1647/events | https://github.com/huggingface/datasets/issues/1647 | 775,525,799 | MDU6SXNzdWU3NzU1MjU3OTk= | 1,647 | NarrativeQA fails to load with `load_dataset` | [] | closed | false | null | 3 | 2020-12-28T18:16:09Z | 2021-01-05T12:05:08Z | 2021-01-03T17:58:05Z | null | When loading the NarrativeQA dataset with `load_dataset('narrativeqa')` as given in the documentation [here](https://huggingface.co/datasets/narrativeqa), I receive a cascade of exceptions, ending with
FileNotFoundError: Couldn't find file locally at narrativeqa/narrativeqa.py, or remotely at
https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/narrativeqa/narrativeqa.py or
https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/narrativeqa/narrativeqa.py
Workaround: manually copy the `narrativeqa.py` builder into my local directory with
curl https://raw.githubusercontent.com/huggingface/datasets/master/datasets/narrativeqa/narrativeqa.py -o narrativeqa.py
and load the dataset as `load_dataset('narrativeqa.py')` everything works fine. I'm on datasets v1.1.3 using Python 3.6.10. | {
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} | https://api.github.com/repos/huggingface/datasets/issues/1647/timeline | null | completed | null | null | false | [
"Hi @eric-mitchell,\r\nI think the issue might be that this dataset was added during the community sprint and has not been released yet. It will be available with the v2 of `datasets`.\r\nFor now, you should be able to load the datasets after installing the latest (master) version of `datasets` using pip:\r\n`pip i... |
https://api.github.com/repos/huggingface/datasets/issues/5432 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5432/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5432/comments | https://api.github.com/repos/huggingface/datasets/issues/5432/events | https://github.com/huggingface/datasets/pull/5432 | 1,535,893,019 | PR_kwDODunzps5HhEA8 | 5,432 | Fix CI benchmarks by temporarily pinning Docker image version | [] | closed | false | null | 2 | 2023-01-17T07:15:31Z | 2023-01-17T08:58:22Z | 2023-01-17T08:51:17Z | null | This PR fixes CI benchmarks, by temporarily pinning Docker image version, instead of "latest" tag.
It also updates deprecated `cml-send-comment` command and using `cml comment create` instead.
Fix #5431. | {
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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==6.0.0\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/3671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3671/comments | https://api.github.com/repos/huggingface/datasets/issues/3671/events | https://github.com/huggingface/datasets/issues/3671 | 1,122,864,253 | I_kwDODunzps5C7Yx9 | 3,671 | Give an estimate of the dataset size in DatasetInfo | [
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] | open | false | null | 0 | 2022-02-03T09:47:10Z | 2022-02-03T09:47:10Z | null | null | **Is your feature request related to a problem? Please describe.**
Currently, only part of the datasets provide `dataset_size`, `download_size`, `size_in_bytes` (and `num_bytes` and `num_examples` inside `splits`). I would want to get this information, or an estimation, for all the datasets.
**Describe the solution you'd like**
- get access to the git information for the dataset files hosted on the hub
- look at the [`Content-Length`](https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Content-Length) for the files served by HTTP
| {
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https://api.github.com/repos/huggingface/datasets/issues/3193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3193/comments | https://api.github.com/repos/huggingface/datasets/issues/3193/events | https://github.com/huggingface/datasets/issues/3193 | 1,041,971,117 | I_kwDODunzps4-Gzet | 3,193 | Update link to datasets-tagging app | [] | closed | false | null | 0 | 2021-11-02T07:39:59Z | 2021-11-08T10:36:22Z | 2021-11-08T10:36:22Z | null | Once datasets-tagging has been transferred to Spaces:
- huggingface/datasets-tagging#22
We should update the link in Datasets. | {
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https://api.github.com/repos/huggingface/datasets/issues/1688 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1688/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1688/comments | https://api.github.com/repos/huggingface/datasets/issues/1688/events | https://github.com/huggingface/datasets/pull/1688 | 779,029,685 | MDExOlB1bGxSZXF1ZXN0NTQ5MDM5ODg0 | 1,688 | Fix DaNE last example | [] | closed | false | null | 0 | 2021-01-05T13:29:37Z | 2021-01-05T14:00:15Z | 2021-01-05T14:00:13Z | null | The last example from the DaNE dataset is empty.
Fix #1686 | {
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https://api.github.com/repos/huggingface/datasets/issues/2522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2522/comments | https://api.github.com/repos/huggingface/datasets/issues/2522/events | https://github.com/huggingface/datasets/issues/2522 | 925,334,379 | MDU6SXNzdWU5MjUzMzQzNzk= | 2,522 | Documentation Mistakes in Dataset: emotion | [
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] | closed | false | null | 3 | 2021-06-19T07:08:57Z | 2023-01-02T12:04:58Z | 2023-01-02T12:04:58Z | null | As per documentation,
Dataset: emotion
Homepage: https://github.com/dair-ai/emotion_dataset
Dataset: https://github.com/huggingface/datasets/blob/master/datasets/emotion/emotion.py
Permalink: https://huggingface.co/datasets/viewer/?dataset=emotion
Emotion is a dataset of English Twitter messages with eight basic emotions: anger, anticipation, disgust, fear, joy, sadness, surprise, and trust. For more detailed information please refer to the paper.
But when we view the data, there are only 6 emotions, anger, fear, joy, sadness, surprise, and trust. | {
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"Hi,\r\n\r\nthis issue has been already reported in the dataset repo (https://github.com/dair-ai/emotion_dataset/issues/2), so this is a bug on their side.",
"The documentation has another bug in the dataset card [here](https://huggingface.co/datasets/emotion). \r\n\r\nIn the dataset summary **six** emotions are ... |
https://api.github.com/repos/huggingface/datasets/issues/3615 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3615/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3615/comments | https://api.github.com/repos/huggingface/datasets/issues/3615/events | https://github.com/huggingface/datasets/issues/3615 | 1,111,576,876 | I_kwDODunzps5CQVEs | 3,615 | Dataset BnL Historical Newspapers does not work in streaming mode | [
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] | closed | false | null | 3 | 2022-01-22T14:12:59Z | 2022-02-04T14:05:21Z | 2022-02-04T14:05:21Z | null | ## Describe the bug
When trying to load in streaming mode, it "hangs"...
## Steps to reproduce the bug
```python
ds = load_dataset("bnl_newspapers", split="train", streaming=True)
```
## Expected results
The code should be optimized, so that it works fast in streaming mode.
CC: @davanstrien
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"@albertvillanova let me know if there is anything I can do to help with this. I had a quick look at the code again and though I could try the following changes:\r\n- use `download` instead of `download_and_extract`\r\nhttps://github.com/huggingface/datasets/blob/d3d339fb86d378f4cb3c5d1de423315c07a466c6/datasets/bn... |
https://api.github.com/repos/huggingface/datasets/issues/4436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4436/comments | https://api.github.com/repos/huggingface/datasets/issues/4436/events | https://github.com/huggingface/datasets/pull/4436 | 1,257,758,834 | PR_kwDODunzps449FsU | 4,436 | Fix directory names for LDC data in timit_asr dataset | [] | closed | false | null | 1 | 2022-06-02T06:45:04Z | 2022-06-02T09:32:56Z | 2022-06-02T09:24:27Z | null | Related to:
- #4422 | {
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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/5102 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5102/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5102/comments | https://api.github.com/repos/huggingface/datasets/issues/5102/events | https://github.com/huggingface/datasets/issues/5102 | 1,404,746,554 | I_kwDODunzps5Turs6 | 5,102 | Error in create a dataset from a Python generator | [
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"descript... | closed | false | null | 2 | 2022-10-11T14:28:58Z | 2022-10-12T11:31:56Z | 2022-10-12T11:31:56Z | null | ## Describe the bug
In HOW-TO-GUIDES > Load > [Python generator](https://huggingface.co/docs/datasets/v2.5.2/en/loading#python-generator), the code example defines the `my_gen` function, but when creating the dataset, an undefined `my_dict` is passed in.
```Python
>>> from datasets import Dataset
>>> def my_gen():
... for i in range(1, 4):
... yield {"a": i}
>>> dataset = Dataset.from_generator(my_dict)
``` | {
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"Hi, thanks for reporting! The last line should be `dataset = Dataset.from_generator(my_gen)`.",
"Can I work on this one?"
] |
https://api.github.com/repos/huggingface/datasets/issues/1801 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1801/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1801/comments | https://api.github.com/repos/huggingface/datasets/issues/1801/events | https://github.com/huggingface/datasets/pull/1801 | 797,814,275 | MDExOlB1bGxSZXF1ZXN0NTY0NzMwODYw | 1,801 | [GEM] Updated the source link of the data to update correct tokenized version. | [] | closed | false | null | 2 | 2021-01-31T21:17:19Z | 2021-02-02T13:17:38Z | 2021-02-02T13:17:28Z | null | {
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"@mounicam we'll keep the original version in the Turk dataset proper, and use the updated file in the GEM aggregated dataset which I'll add later today\r\n\r\n@lhoestq do not merge, I'll close when I've submitted the GEM dataset PR :) ",
"Closed by https://github.com/huggingface/datasets/pull/1807"
] | |
https://api.github.com/repos/huggingface/datasets/issues/3938 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3938/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3938/comments | https://api.github.com/repos/huggingface/datasets/issues/3938/events | https://github.com/huggingface/datasets/pull/3938 | 1,170,875,417 | PR_kwDODunzps40hnjM | 3,938 | Avoid info log messages from transformers in FrugalScore metric | [] | closed | false | null | 1 | 2022-03-16T11:11:29Z | 2022-03-17T08:37:25Z | 2022-03-17T08:37:24Z | null | Fix #3928. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3938). All of your documentation changes will be reflected on that endpoint."
] |
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https://api.github.com/repos/huggingface/datasets/issues/5990 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5990/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5990/comments | https://api.github.com/repos/huggingface/datasets/issues/5990/events | https://github.com/huggingface/datasets/issues/5990 | 1,774,389,854 | I_kwDODunzps5pwwpe | 5,990 | Pushing a large dataset on the hub consistently hangs | [
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] | open | false | null | 42 | 2023-06-10T14:46:47Z | 2023-07-24T18:40:06Z | null | null | ### Describe the bug
Once I have locally built a large dataset that I want to push to hub, I use the recommended approach of .push_to_hub to get the dataset on the hub, and after pushing a few shards, it consistently hangs. This has happened over 40 times over the past week, and despite my best efforts to try and catch this happening and kill a process and restart, it seems to be extremely time wasting -- so I came to you to report this and to seek help.
I already tried installing hf_transfer, but it doesn't support Byte file uploads so I uninstalled it.
### Reproduction
```python
import multiprocessing as mp
import pathlib
from math import ceil
import datasets
import numpy as np
from tqdm.auto import tqdm
from tali.data.data import select_subtitles_between_timestamps
from tali.utils import load_json
tali_dataset_dir = "/data/"
if __name__ == "__main__":
full_dataset = datasets.load_dataset(
"Antreas/TALI", num_proc=mp.cpu_count(), cache_dir=tali_dataset_dir
)
def data_generator(set_name, percentage: float = 1.0):
dataset = full_dataset[set_name]
for item in tqdm(dataset):
video_list = item["youtube_content_video"]
video_list = np.random.choice(
video_list, int(ceil(len(video_list) * percentage))
)
if len(video_list) == 0:
continue
captions = item["youtube_subtitle_text"]
captions = select_subtitles_between_timestamps(
subtitle_dict=load_json(
captions.replace(
"/data/",
tali_dataset_dir,
)
),
starting_timestamp=0,
ending_timestamp=100000000,
)
for video_path in video_list:
temp_path = video_path.replace("/data/", tali_dataset_dir)
video_path_actual: pathlib.Path = pathlib.Path(temp_path)
if video_path_actual.exists():
item["youtube_content_video"] = open(video_path_actual, "rb").read()
item["youtube_subtitle_text"] = captions
yield item
train_generator = lambda: data_generator("train", percentage=0.1)
val_generator = lambda: data_generator("val")
test_generator = lambda: data_generator("test")
train_data = datasets.Dataset.from_generator(
train_generator,
num_proc=mp.cpu_count(),
writer_batch_size=5000,
cache_dir=tali_dataset_dir,
)
val_data = datasets.Dataset.from_generator(
val_generator,
writer_batch_size=5000,
num_proc=mp.cpu_count(),
cache_dir=tali_dataset_dir,
)
test_data = datasets.Dataset.from_generator(
test_generator,
writer_batch_size=5000,
num_proc=mp.cpu_count(),
cache_dir=tali_dataset_dir,
)
dataset = datasets.DatasetDict(
{
"train": train_data,
"val": val_data,
"test": test_data,
}
)
succesful_competion = False
while not succesful_competion:
try:
dataset.push_to_hub(repo_id="Antreas/TALI-small", max_shard_size="5GB")
succesful_competion = True
except Exception as e:
print(e)
```
### Logs
```shell
Pushing dataset shards to the dataset hub: 33%|██████████████████████████████████████▎ | 7/21 [24:33<49:06, 210.45s/it]
Error while uploading 'data/val-00007-of-00021-6b216a984af1a4c8.parquet' to the Hub.
Pushing split train to the Hub.
Resuming upload of the dataset shards.
Pushing dataset shards to the dataset hub: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 46/46 [42:10<00:00, 55.01s/it]
Pushing split val to the Hub.
Resuming upload of the dataset shards.
Creating parquet from Arrow format: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:01<00:00, 1.55ba/s]
Upload 1 LFS files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:23<00:00, 23.51s/it]
Creating parquet from Arrow format: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:02<00:00, 1.39ba/s]
Upload 1 LFS files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:30<00:00, 30.19s/it]
Creating parquet from Arrow format: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:02<00:00, 1.28ba/s]
Upload 1 LFS files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:24<00:00, 24.08s/it]
Creating parquet from Arrow format: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:02<00:00, 1.42ba/s]
Upload 1 LFS files: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:23<00:00, 23.97s/it]
Creating parquet from Arrow format: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:02<00:00, 1.49ba/s]
Creating parquet from Arrow format: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:02<00:00, 1.54ba/s^
Upload 1 LFS files: 0%| | 0/1 [04:42<?, ?it/s]
Pushing dataset shards to the dataset hub: 52%|████████████████████████████████████████████████████████████▏ | 11/21 [17:23<15:48, 94.82s/it]
That's where it got stuck
```
### System info
```shell
- huggingface_hub version: 0.15.1
- Platform: Linux-5.4.0-147-generic-x86_64-with-glibc2.35
- Python version: 3.10.11
- Running in iPython ?: No
- Running in notebook ?: No
- Running in Google Colab ?: No
- Token path ?: /root/.cache/huggingface/token
- Has saved token ?: True
- Who am I ?: Antreas
- Configured git credential helpers: store
- FastAI: N/A
- Tensorflow: N/A
- Torch: 2.1.0.dev20230606+cu121
- Jinja2: 3.1.2
- Graphviz: N/A
- Pydot: N/A
- Pillow: 9.5.0
- hf_transfer: N/A
- gradio: N/A
- numpy: 1.24.3
- ENDPOINT: https://huggingface.co
- HUGGINGFACE_HUB_CACHE: /root/.cache/huggingface/hub
- HUGGINGFACE_ASSETS_CACHE: /root/.cache/huggingface/assets
- HF_TOKEN_PATH: /root/.cache/huggingface/token
- HF_HUB_OFFLINE: False
- HF_HUB_DISABLE_TELEMETRY: False
- HF_HUB_DISABLE_PROGRESS_BARS: None
- HF_HUB_DISABLE_SYMLINKS_WARNING: False
- HF_HUB_DISABLE_EXPERIMENTAL_WARNING: False
- HF_HUB_DISABLE_IMPLICIT_TOKEN: False
- HF_HUB_ENABLE_HF_TRANSFER: False
```
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} | https://api.github.com/repos/huggingface/datasets/issues/5990/timeline | null | null | null | null | false | [
"Hi @AntreasAntoniou , sorry to know you are facing this issue. To help debugging it, could you tell me:\r\n- What is the total dataset size?\r\n- Is it always failing on the same shard or is the hanging problem happening randomly?\r\n- Were you able to save the dataset as parquet locally? This would help us determ... |
https://api.github.com/repos/huggingface/datasets/issues/1449 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1449/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1449/comments | https://api.github.com/repos/huggingface/datasets/issues/1449/events | https://github.com/huggingface/datasets/pull/1449 | 761,083,210 | MDExOlB1bGxSZXF1ZXN0NTM1ODA0MzEy | 1,449 | add W&I + LOCNESS dataset (BEA-2019 workshop shared task on GEC) [PROPER] | [] | closed | false | null | 2 | 2020-12-10T09:51:08Z | 2020-12-11T17:07:46Z | 2020-12-11T17:07:46Z | null | - **Name:** W&I + LOCNESS dataset (from the BEA-2019 workshop shared task on GEC)
- **Description:** https://www.cl.cam.ac.uk/research/nl/bea2019st/#data
- **Paper:** https://www.aclweb.org/anthology/W19-4406/
- **Motivation:** This is a recent dataset (actually two in one) for grammatical error correction and is used for benchmarking in this field of NLP.
### Checkbox
- [x] Create the dataset script `/datasets/my_dataset/my_dataset.py` using the template
- [x] Fill the `_DESCRIPTION` and `_CITATION` variables
- [x] Implement `_infos()`, `_split_generators()` and `_generate_examples()`
- [x] Make sure that the `BUILDER_CONFIGS` class attribute is filled with the different configurations of the dataset and that the `BUILDER_CONFIG_CLASS` is specified if there is a custom config class.
- [x] Generate the metadata file `dataset_infos.json` for all configurations
- [x] Generate the dummy data `dummy_data.zip` files to have the dataset script tested and that they don't weigh too much (<50KB)
- [x] Add the dataset card `README.md` using the template : fill the tags and the various paragraphs
- [x] Both tests for the real data and the dummy data pass.
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"linter your code with flake8 and also run the commands present in Makefile for proper formatting \r\n",
"merging since the CI is fixed on master"
] |
https://api.github.com/repos/huggingface/datasets/issues/5185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5185/comments | https://api.github.com/repos/huggingface/datasets/issues/5185/events | https://github.com/huggingface/datasets/issues/5185 | 1,432,021,611 | I_kwDODunzps5VWupr | 5,185 | Allow passing a subset of output features to Dataset.map | [
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] | open | false | null | 0 | 2022-11-01T20:07:20Z | 2022-11-01T20:07:34Z | null | null | ### Feature request
Currently, map does one of two things to the features (if I'm not mistaken):
* when you do not pass features, types are assumed to be equal to the input if they can be cast, and inferred otherwise
* when you pass a full specification of features, output features are set to this
However, sometimes you want to just pass some of the output types, particularly when the first of these modes makes an incorrect type. This currently crashes.
### Motivation
To give a little background: this problem appears in converting labels to ids, where the labels happen to be floats rather than strings
Consider the following use of map to convert from float to int
```python
data = Dataset.from_dict({'y':[1.0,2.0,3.0]})
mapped = data.map(lambda r: {'y': int(r['y'])})
mapped['y'] # is floats, not ints
```
The result is a float again, since after the mapping operation it forces the old datatypes back on the data.
Passing `features=Features({"y": Value(dtype="int64")})` to map works in principle, but then extending it a little to e.g.
```python
def format_data(r):
return {**tokenizer(r["text"]), "y": int(r["y"])}
data = Dataset.from_dict({"y": [1.0, 2.0, 3.0], "text": ["one", "two", "three"]})
mapped = data.map(
format_data,
features=Features({'y': Value(dtype="int64")}),
remove_columns=["text"],
)
```
Results in a crash in dataset internals, as it expects either all or no output features to be specified.
Of course one can pass a full feature specification, but this becomes tokenizer specific and very awkward.
### Your contribution
I've looked at `write_batch` and particularly `col_type = features[col] if features else None`, but checking for `col in features` here makes it fail elsewhere, but the structure makes it hard to understand how and why. I do not think I would have the time myself to get to the bottom of this anytime soon. | {
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https://api.github.com/repos/huggingface/datasets/issues/4558 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4558/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4558/comments | https://api.github.com/repos/huggingface/datasets/issues/4558/events | https://github.com/huggingface/datasets/pull/4558 | 1,283,479,650 | PR_kwDODunzps46THl_ | 4,558 | Add evaluation metadata to wmt14 | [
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"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20contribution"
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] | closed | false | null | 2 | 2022-06-24T09:08:54Z | 2022-09-23T09:36:50Z | 2022-09-23T09:36:50Z | null | null | {
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} | true | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4558). All of your documentation changes will be reflected on that endpoint.",
"As discussed with @lewtun, we are closing this PR, because it requires first the task names to be aligned between AutoTrain and datasets."
] |
https://api.github.com/repos/huggingface/datasets/issues/5275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5275/comments | https://api.github.com/repos/huggingface/datasets/issues/5275/events | https://github.com/huggingface/datasets/issues/5275 | 1,459,358,919 | I_kwDODunzps5W_AzH | 5,275 | YAML integer keys are not preserved Hub server-side | [
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] | closed | false | null | 13 | 2022-11-22T08:14:47Z | 2023-01-26T10:52:35Z | 2023-01-26T10:40:21Z | null | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
class_label:
names:
0: B-long
1: B-short
```
- Returned by the server:
```yaml
class_label:
names:
'0': B-long
'1': B-short
```
- They are planning to enforce only string keys
- Other projects already use interger-transformed-to string keys: e.g. `transformers` models `id2label`: https://huggingface.co/roberta-large-mnli/blob/main/config.json
```yaml
"id2label": {
"0": "CONTRADICTION",
"1": "NEUTRAL",
"2": "ENTAILMENT"
}
```
On the other hand, at `datasets` we are currently using YAML integer keys for `dataset_info` `class_label`.
Please note (thanks @lhoestq for pointing out) that previous versions (2.6 and 2.7) of `datasets` need being patched:
```python
In [18]: Features._from_yaml_list([{'dtype': {'class_label': {'names': {'0': 'neg', '1': 'pos'}}}, 'name': 'label'}])
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-18-974f07eea526> in <module>
----> 1 Features._from_yaml_list(ry)
~/Desktop/hf/nlp/src/datasets/features/features.py in _from_yaml_list(cls, yaml_data)
1743 raise TypeError(f"Expected a dict or a list but got {type(obj)}: {obj}")
1744
-> 1745 return cls.from_dict(from_yaml_inner(yaml_data))
1746
1747 def encode_example(self, example):
~/Desktop/hf/nlp/src/datasets/features/features.py in from_yaml_inner(obj)
1739 elif isinstance(obj, list):
1740 names = [_feature.pop("name") for _feature in obj]
-> 1741 return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
1742 else:
1743 raise TypeError(f"Expected a dict or a list but got {type(obj)}: {obj}")
~/Desktop/hf/nlp/src/datasets/features/features.py in <dictcomp>(.0)
1739 elif isinstance(obj, list):
1740 names = [_feature.pop("name") for _feature in obj]
-> 1741 return {name: from_yaml_inner(_feature) for name, _feature in zip(names, obj)}
1742 else:
1743 raise TypeError(f"Expected a dict or a list but got {type(obj)}: {obj}")
~/Desktop/hf/nlp/src/datasets/features/features.py in from_yaml_inner(obj)
1734 return {"_type": snakecase_to_camelcase(obj["dtype"])}
1735 else:
-> 1736 return from_yaml_inner(obj["dtype"])
1737 else:
1738 return {"_type": snakecase_to_camelcase(_type), **unsimplify(obj)[_type]}
~/Desktop/hf/nlp/src/datasets/features/features.py in from_yaml_inner(obj)
1736 return from_yaml_inner(obj["dtype"])
1737 else:
-> 1738 return {"_type": snakecase_to_camelcase(_type), **unsimplify(obj)[_type]}
1739 elif isinstance(obj, list):
1740 names = [_feature.pop("name") for _feature in obj]
~/Desktop/hf/nlp/src/datasets/features/features.py in unsimplify(feature)
1704 if isinstance(feature.get("class_label"), dict) and isinstance(feature["class_label"].get("names"), dict):
1705 label_ids = sorted(feature["class_label"]["names"])
-> 1706 if label_ids and label_ids != list(range(label_ids[-1] + 1)):
1707 raise ValueError(
1708 f"ClassLabel expected a value for all label ids [0:{label_ids[-1] + 1}] but some ids are missing."
TypeError: can only concatenate str (not "int") to str
```
TODO:
- [x] Remove YAML integer keys from `dataset_info` metadata
- [x] Make a patch release for affected `datasets` versions: 2.6 and 2.7
- [x] Communicate on the fix
- [x] Wait for adoption
- [x] Bulk edit the Hub to fix this in all canonical datasets | {
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"@huggingface/datasets if you agree, I can make the bulk edit on the Hub to fix integer keys into strings.",
"Ok for me, and we can merge (internal) https://github.com/huggingface/moon-landing/pull/4609",
"FYI there are still 2k+ weekly users on `datasets` 2.6.1 which doesn't support the string label format for... |
https://api.github.com/repos/huggingface/datasets/issues/991 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/991/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/991/comments | https://api.github.com/repos/huggingface/datasets/issues/991/events | https://github.com/huggingface/datasets/pull/991 | 755,117,902 | MDExOlB1bGxSZXF1ZXN0NTMwODkyMDk0 | 991 | Adding farsi_news dataset (https://github.com/sci2lab/Farsi-datasets) | [] | closed | false | null | 0 | 2020-12-02T09:52:19Z | 2020-12-03T11:01:26Z | 2020-12-03T11:01:26Z | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1400/comments | https://api.github.com/repos/huggingface/datasets/issues/1400/events | https://github.com/huggingface/datasets/pull/1400 | 760,514,215 | MDExOlB1bGxSZXF1ZXN0NTM1MzMzMDYz | 1,400 | Add European Union Education and Culture Translation Memory (EAC-TM) dataset | [] | closed | false | null | 0 | 2020-12-09T17:14:52Z | 2020-12-14T13:06:48Z | 2020-12-14T13:06:47Z | null | Adding the EAC Translation Memory dataset : https://ec.europa.eu/jrc/en/language-technologies/eac-translation-memory | {
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https://api.github.com/repos/huggingface/datasets/issues/4134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4134/comments | https://api.github.com/repos/huggingface/datasets/issues/4134/events | https://github.com/huggingface/datasets/issues/4134 | 1,197,937,146 | I_kwDODunzps5HZxH6 | 4,134 | ELI5 supporting documents | [
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] | open | false | null | 1 | 2022-04-08T23:36:27Z | 2022-04-13T13:52:46Z | null | null | if i am using dense search to create supporting documents for eli5 how much time it will take bcz i read somewhere that it takes about 18 hrs?? | {
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"Hi ! Please post your question on the [forum](https://discuss.huggingface.co/), more people will be able to help you there ;)"
] |
https://api.github.com/repos/huggingface/datasets/issues/5644 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5644/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5644/comments | https://api.github.com/repos/huggingface/datasets/issues/5644/events | https://github.com/huggingface/datasets/pull/5644 | 1,626,204,046 | PR_kwDODunzps5MJHUi | 5,644 | Allow direct cast from binary to Audio/Image | [] | closed | false | null | 3 | 2023-03-15T20:02:54Z | 2023-03-16T14:20:44Z | 2023-03-16T14:12:55Z | null | To address https://github.com/huggingface/datasets/discussions/5593.
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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/1524 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1524/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1524/comments | https://api.github.com/repos/huggingface/datasets/issues/1524/events | https://github.com/huggingface/datasets/pull/1524 | 764,521,672 | MDExOlB1bGxSZXF1ZXN0NTM4NTQ2MjI0 | 1,524 | ADD: swahili dataset for language modeling | [] | closed | false | null | 0 | 2020-12-12T22:47:18Z | 2020-12-17T16:37:16Z | 2020-12-17T16:37:16Z | null | Add a corpus for Swahili language modelling. All tests passed locally. README updated with all information available. | {
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https://api.github.com/repos/huggingface/datasets/issues/5418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5418/comments | https://api.github.com/repos/huggingface/datasets/issues/5418/events | https://github.com/huggingface/datasets/issues/5418 | 1,530,111,184 | I_kwDODunzps5bM6TQ | 5,418 | Add ProgressBar for `to_parquet` | [
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] | closed | false | null | 4 | 2023-01-12T05:06:20Z | 2023-01-24T18:18:24Z | 2023-01-24T18:18:24Z | null | ### Feature request
Add a progress bar for `Dataset.to_parquet`, similar to how `to_json` works.
### Motivation
It's a bit frustrating to not know how long a dataset will take to write to file and if it's stuck or not without a progress bar
### Your contribution
Sure I can help if needed | {
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"Thanks for your proposal, @zanussbaum. Yes, I agree that would definitely be a nice feature to have!",
"@albertvillanova I’m happy to make a quick PR for the feature! let me know ",
"That would be awesome ! You can comment `#self-assign` to assign you to this issue and open a PR :) Will be happy to review",
... |
https://api.github.com/repos/huggingface/datasets/issues/621 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/621/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/621/comments | https://api.github.com/repos/huggingface/datasets/issues/621/events | https://github.com/huggingface/datasets/pull/621 | 700,171,097 | MDExOlB1bGxSZXF1ZXN0NDg1ODQ3ODYz | 621 | [docs] Index: The native emoji looks kinda ugly in large size | [] | closed | false | null | 0 | 2020-09-12T09:48:40Z | 2020-09-15T06:20:03Z | 2020-09-15T06:20:02Z | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5959 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5959/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5959/comments | https://api.github.com/repos/huggingface/datasets/issues/5959/events | https://github.com/huggingface/datasets/issues/5959 | 1,757,397,507 | I_kwDODunzps5ov8ID | 5,959 | read metric glue.py from local file | [] | closed | false | null | 1 | 2023-06-14T17:59:35Z | 2023-06-14T18:04:16Z | 2023-06-14T18:04:16Z | null | ### Describe the bug
Currently, The server is off-line. I am using the glue metric from the local file downloaded from the hub.
I download / cached datasets using `load_dataset('glue','sst2', cache_dir='/xxx')` to cache them and then in the off-line mode, I use `load_dataset('xxx/glue.py','sst2', cache_dir='/xxx')`. I can successfully reuse cached datasets.
My problem is about the load_metric.
When I run `load_dataset('xxx/glue_metric.py','sst2',cache_dir='/xxx')` , it returns
` File "xx/lib64/python3.9/site-packages/datasets/utils/deprecation_utils.py", line 46, in wrapper
return deprecated_function(*args, **kwargs)
File "xx//lib64/python3.9/site-packages/datasets/load.py", line 1392, in load_metric
metric = metric_cls(
TypeError: 'NoneType' object is not callable`
Thanks in advance for help!
### Steps to reproduce the bug
N/A
### Expected behavior
N/A
### Environment info
`datasets == 2.12.0` | {
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"Sorry, I solve this by call `evaluate.load('glue_metric.py','sst-2')`\r\n"
] |
https://api.github.com/repos/huggingface/datasets/issues/1927 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1927/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1927/comments | https://api.github.com/repos/huggingface/datasets/issues/1927/events | https://github.com/huggingface/datasets/pull/1927 | 813,768,935 | MDExOlB1bGxSZXF1ZXN0NTc3ODYxODM5 | 1,927 | Update dataset card of wino_bias | [
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] | closed | false | null | 1 | 2021-02-22T18:51:34Z | 2022-09-23T13:35:09Z | 2022-09-23T13:35:08Z | null | Updated the info for the wino_bias dataset. | {
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"Thanks @JieyuZhao.\r\n\r\nI think this PR was superseded by your other PRs:\r\n- #1930\r\n- #2152 \r\n\r\nI'm closing this."
] |
https://api.github.com/repos/huggingface/datasets/issues/523 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/523/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/523/comments | https://api.github.com/repos/huggingface/datasets/issues/523/events | https://github.com/huggingface/datasets/pull/523 | 682,573,232 | MDExOlB1bGxSZXF1ZXN0NDcwNzkxMjA1 | 523 | Speed up Tokenization by optimizing cast_to_python_objects | [] | closed | false | null | 1 | 2020-08-20T09:42:02Z | 2020-08-24T08:54:15Z | 2020-08-24T08:54:14Z | null | I changed how `cast_to_python_objects` works to make it faster.
It is used to cast numpy/pytorch/tensorflow/pandas objects to python lists, and it works recursively.
To avoid iterating over possibly long lists, it first checks if the first element that is not None has to be casted.
If the first element needs to be casted, then all the elements of the list will be casted, otherwise they'll stay the same.
This trick allows to cast objects that contain tokenizers outputs without iterating over every single token for example.
Speed improvement:
```python
import transformers
import nlp
tok = transformers.BertTokenizerFast.from_pretrained("bert-base-uncased")
txt = ["a " * 512] * 1000
dataset = nlp.Dataset.from_dict({"txt": txt})
# Tokenization using .map is now faster. Previously it was taking 3.5s
%time _ = dataset.map(lambda x: tok(x["txt"]), batched=True, load_from_cache_file=False)
# 450ms
# for comparison
%time _ = tok(txt)
# 280ms
``` | {
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"I took your comments into account and added tests for `cast_to_python_objects`"
] |
https://api.github.com/repos/huggingface/datasets/issues/2620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2620/comments | https://api.github.com/repos/huggingface/datasets/issues/2620/events | https://github.com/huggingface/datasets/pull/2620 | 940,893,389 | MDExOlB1bGxSZXF1ZXN0Njg2ODk3MDky | 2,620 | Add speech processing tasks | [] | closed | false | null | 2 | 2021-07-09T16:07:29Z | 2021-07-12T18:32:59Z | 2021-07-12T17:32:02Z | null | This PR replaces the `automatic-speech-recognition` task category with a broader `speech-processing` category.
The tasks associated with this category are derived from the [SUPERB benchmark](https://arxiv.org/abs/2105.01051), and ASR is included in this set. | {
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"Are there any `task_categories:automatic-speech-recognition` dataset for which we should update the tags ?",
"> Are there any `task_categories:automatic-speech-recognition` dataset for which we should update the tags ?\r\n\r\nYes there's a few - I'll fix them tomorrow :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/52 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/52/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/52/comments | https://api.github.com/repos/huggingface/datasets/issues/52/events | https://github.com/huggingface/datasets/pull/52 | 613,339,071 | MDExOlB1bGxSZXF1ZXN0NDE0MTEyMDAy | 52 | allow dummy folder structure to handle dict of lists | [] | closed | false | null | 0 | 2020-05-06T13:54:35Z | 2020-05-06T13:55:19Z | 2020-05-06T13:55:18Z | null | `esnli.py` needs that extension of the dummy data testing. | {
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https://api.github.com/repos/huggingface/datasets/issues/1144 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1144/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1144/comments | https://api.github.com/repos/huggingface/datasets/issues/1144/events | https://github.com/huggingface/datasets/pull/1144 | 757,452,831 | MDExOlB1bGxSZXF1ZXN0NTMyODI3OTI4 | 1,144 | Add JFLEG | [] | closed | false | null | 2 | 2020-12-04T22:36:38Z | 2020-12-06T18:16:04Z | 2020-12-06T18:16:04Z | null | This PR adds [JFLEG ](https://www.aclweb.org/anthology/E17-2037/), an English grammatical error correction benchmark.
The tests were successful on real data, although it would be great if I can get some guidance on the **dummy data**. Basically, **for each source sentence there are 4 possible gold standard target sentences**. The original dataset comprise files in a flat structure, labelled by split then by source/target (e.g., dev.src, dev.ref0, ..., dev.ref3). Not sure what is the best way of adding this.
I imagine I can treat each distinct source-target pair as its own split? But having so many copies of the source sentence feels redundant, and it would make it less convenient to end-users who might want to access multiple gold standard targets simultaneously. | {
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"Hi @j-chim ! You're right it does feel redundant: your option works better, but I'd even suggest having the references in a Sequence feature, which you can declare as:\r\n```\r\n\t features=datasets.Features(\r\n {\r\n \"sentence\": datasets.Value(\"string\"),\r\n ... |
https://api.github.com/repos/huggingface/datasets/issues/4276 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4276/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4276/comments | https://api.github.com/repos/huggingface/datasets/issues/4276/events | https://github.com/huggingface/datasets/issues/4276 | 1,224,949,252 | I_kwDODunzps5JAz4E | 4,276 | OpenBookQA has missing and inconsistent field names | [
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] | closed | false | null | 11 | 2022-05-04T05:51:52Z | 2022-10-11T17:11:53Z | 2022-10-05T13:50:03Z | null | ## Describe the bug
OpenBookQA implementation is inconsistent with the original dataset.
We need to:
1. The dataset field [question][stem] is flattened into question_stem. Unflatten it to match the original format.
2. Add missing additional fields:
- 'fact1': row['fact1'],
- 'humanScore': row['humanScore'],
- 'clarity': row['clarity'],
- 'turkIdAnonymized': row['turkIdAnonymized']
3. Ensure the structure and every data item in the original OpenBookQA matches our OpenBookQA version.
## Expected results
The structure and every data item in the original OpenBookQA matches our OpenBookQA version.
## Actual results
TBD
## Environment info
- `datasets` version: 2.1.0
- Platform: macOS-10.15.7-x86_64-i386-64bit
- Python version: 3.8.13
- PyArrow version: 7.0.0
- Pandas version: 1.4.2 | {
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"Thanks for reporting, @vblagoje.\r\n\r\nIndeed, I noticed some of these issues while reviewing this PR:\r\n- #4259 \r\n\r\nThis is in my TODO list. ",
"Ok, awesome @albertvillanova How about #4275 ?",
"On the other hand, I am not sure if we should always preserve the original nested structure. I think we shoul... |
https://api.github.com/repos/huggingface/datasets/issues/1322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1322/comments | https://api.github.com/repos/huggingface/datasets/issues/1322/events | https://github.com/huggingface/datasets/pull/1322 | 759,576,003 | MDExOlB1bGxSZXF1ZXN0NTM0NTU3Njg3 | 1,322 | add indonlu benchmark datasets | [] | closed | false | null | 0 | 2020-12-08T16:10:58Z | 2020-12-13T02:11:27Z | 2020-12-13T01:54:28Z | null | The IndoNLU benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems for the Indonesian language. There are 12 datasets in IndoNLU. | {
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https://api.github.com/repos/huggingface/datasets/issues/3431 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3431/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3431/comments | https://api.github.com/repos/huggingface/datasets/issues/3431/events | https://github.com/huggingface/datasets/issues/3431 | 1,079,866,083 | I_kwDODunzps5AXXLj | 3,431 | Unable to resolve any data file after loading once | [] | closed | false | null | 2 | 2021-12-14T15:02:15Z | 2022-12-11T10:53:04Z | 2022-02-24T09:13:52Z | null | when I rerun my program, it occurs this error
" Unable to resolve any data file that matches '['**train*']' at /data2/whr/lzy/open_domain_data/retrieval/wiki_dpr with any supported extension ['csv', 'tsv', 'json', 'jsonl', 'parquet', 'txt', 'zip']", so how could i deal with this problem?
thx.
And below is my code .
| {
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"Hi ! `load_dataset` accepts as input either a local dataset directory or a dataset name from the Hugging Face Hub.\r\n\r\nSo here you are getting this error the second time because it tries to load the local `wiki_dpr` directory, instead of `wiki_dpr` from the Hub. It doesn't work since it's a **cache** directory,... |
https://api.github.com/repos/huggingface/datasets/issues/3526 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3526/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3526/comments | https://api.github.com/repos/huggingface/datasets/issues/3526/events | https://github.com/huggingface/datasets/pull/3526 | 1,093,833,446 | PR_kwDODunzps4wiMaQ | 3,526 | Update license to bookcorpus dataset card | [
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] | closed | false | null | 2 | 2022-01-04T23:25:23Z | 2022-09-30T10:23:38Z | 2022-09-30T10:21:20Z | null | Not entirely sure, following the links here, but it seems the relevant license is at https://github.com/soskek/bookcorpus/blob/master/LICENSE | {
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"The smashwords ToS apply for this dataset, we did the same for https://github.com/huggingface/datasets/pull/3525",
"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/165 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/165/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/165/comments | https://api.github.com/repos/huggingface/datasets/issues/165/events | https://github.com/huggingface/datasets/issues/165 | 620,758,221 | MDU6SXNzdWU2MjA3NTgyMjE= | 165 | ANLI | [] | closed | false | null | 0 | 2020-05-19T07:50:57Z | 2020-05-20T12:23:07Z | 2020-05-20T12:23:07Z | null | Can I recommend the following:
For ANLI, use https://github.com/facebookresearch/anli. As that paper says, "Our dataset is not
to be confused with abductive NLI (Bhagavatula et al., 2019), which calls itself αNLI, or ART.".
Indeed, the paper cited under what is currently called anli says in the abstract "We introduce a challenge dataset, ART".
The current naming will confuse people :) | {
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https://api.github.com/repos/huggingface/datasets/issues/713 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/713/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/713/comments | https://api.github.com/repos/huggingface/datasets/issues/713/events | https://github.com/huggingface/datasets/pull/713 | 714,475,732 | MDExOlB1bGxSZXF1ZXN0NDk3NTUzOTUy | 713 | Fix reading text files with carriage return symbols | [] | closed | false | null | 1 | 2020-10-05T03:07:03Z | 2020-10-09T05:58:25Z | 2020-10-05T13:49:29Z | null | The new pandas-based text reader isn't able to work properly with files that contain carriage return symbols (`\r`).
It fails with the following error message:
```
...
File "pandas/_libs/parsers.pyx", line 847, in pandas._libs.parsers.TextReader.read
File "pandas/_libs/parsers.pyx", line 874, in pandas._libs.parsers.TextReader._read_low_memory
File "pandas/_libs/parsers.pyx", line 918, in pandas._libs.parsers.TextReader._read_rows
File "pandas/_libs/parsers.pyx", line 905, in pandas._libs.parsers.TextReader._tokenize_rows
File "pandas/_libs/parsers.pyx", line 2042, in pandas._libs.parsers.raise_parser_error
pandas.errors.ParserError: Error tokenizing data. C error: Buffer overflow caught - possible malformed input file.
```
___
I figured out the pandas uses those symbols as line terminators and this eventually causes the error. Explicitly specifying the `lineterminator` fixes that issue and everything works fine.
Please, consider this PR as it seems to be a common issue to solve. | {
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"Discussed in #622, fixed in #715. Closing the issue. Thanks @lhoestq, it works now! 👍 "
] |
https://api.github.com/repos/huggingface/datasets/issues/2006 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2006/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2006/comments | https://api.github.com/repos/huggingface/datasets/issues/2006/events | https://github.com/huggingface/datasets/pull/2006 | 824,457,794 | MDExOlB1bGxSZXF1ZXN0NTg2Njg5Nzk2 | 2,006 | Don't gitignore dvc.lock | [] | closed | false | null | 0 | 2021-03-08T11:13:08Z | 2021-03-08T11:28:35Z | 2021-03-08T11:28:34Z | null | The benchmarks runs are [failing](https://github.com/huggingface/datasets/runs/2055534629?check_suite_focus=true) because of
```
ERROR: 'dvc.lock' is git-ignored.
```
I removed the dvc.lock file from the gitignore to fix that | {
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https://api.github.com/repos/huggingface/datasets/issues/3958 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3958/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3958/comments | https://api.github.com/repos/huggingface/datasets/issues/3958/events | https://github.com/huggingface/datasets/pull/3958 | 1,172,657,981 | PR_kwDODunzps40nQU2 | 3,958 | Update Wikipedia metadata | [] | closed | false | null | 2 | 2022-03-17T17:50:05Z | 2022-03-21T12:26:48Z | 2022-03-21T12:26:47Z | null | This PR updates:
- dataset card
- metadata JSON | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3958). All of your documentation changes will be reflected on that endpoint.",
"Once this last PR validated, I can take care of the integration of all the wikipedia update branch into master, @lhoestq. "
] |
https://api.github.com/repos/huggingface/datasets/issues/328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/328/comments | https://api.github.com/repos/huggingface/datasets/issues/328/events | https://github.com/huggingface/datasets/issues/328 | 648,326,841 | MDU6SXNzdWU2NDgzMjY4NDE= | 328 | Fork dataset | [] | closed | false | null | 5 | 2020-06-30T16:42:53Z | 2020-07-06T21:43:59Z | 2020-07-06T21:43:59Z | null | We have a multi-task learning model training I'm trying to convert to using the Arrow-based nlp dataset.
We're currently training a custom TensorFlow model but the nlp paradigm should be a bridge for us to be able to use the wealth of pre-trained models in Transformers.
Our preprocessing flow parses raw text and json with Entity and Relations annotations and creates 2 datasets for training a NER and Relations prediction heads.
Is there some good way to "fork" dataset-
EG
1. text + json -> Dataset1
1. Dataset1 -> DatasetNER
1. Dataset1 -> DatasetREL
or
1. text + json -> Dataset1
1. Dataset1 -> DatasetNER
1. Dataset1 + DatasetNER -> DatasetREL
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"To be able to generate the Arrow dataset you need to either use our csv or json utilities `load_dataset(\"json\", data_files=my_json_files)` OR write your own custom dataset script (you can find some inspiration from the [squad](https://github.com/huggingface/nlp/blob/master/datasets/squad/squad.py) script for exa... |
https://api.github.com/repos/huggingface/datasets/issues/3947 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3947/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3947/comments | https://api.github.com/repos/huggingface/datasets/issues/3947/events | https://github.com/huggingface/datasets/pull/3947 | 1,171,452,854 | PR_kwDODunzps40jfLq | 3,947 | BLEU metric card | [] | closed | false | null | 2 | 2022-03-16T19:20:07Z | 2022-03-29T14:59:50Z | 2022-03-29T14:54:14Z | null | Add BLEU metric card | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Some thoughts:\r\n- For values, e.g. \"Defaults to False\", I would put False in code: `False`. Same for : \"Defaults to `4`.\"\r\n- I would put the following remark in \"Limitations\": \r\n> \"BLEU's output is always a number betwee... |
https://api.github.com/repos/huggingface/datasets/issues/1704 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1704/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1704/comments | https://api.github.com/repos/huggingface/datasets/issues/1704/events | https://github.com/huggingface/datasets/pull/1704 | 781,402,757 | MDExOlB1bGxSZXF1ZXN0NTUxMTMyNDI1 | 1,704 | Update XSUM Factuality DatasetCard | [] | closed | false | null | 0 | 2021-01-07T15:37:14Z | 2021-01-12T13:30:04Z | 2021-01-12T13:30:04Z | null | Update XSUM Factuality DatasetCard | {
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https://api.github.com/repos/huggingface/datasets/issues/4093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4093/comments | https://api.github.com/repos/huggingface/datasets/issues/4093/events | https://github.com/huggingface/datasets/issues/4093 | 1,192,523,161 | I_kwDODunzps5HFHWZ | 4,093 | elena-soare/crawled-ecommerce: missing dataset | [
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**Link:** *link to the dataset viewer page*
*short description of the issue*
Am I the one who added this dataset ? Yes-No
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"It's a bug! Thanks for reporting, I'm looking at it.",
"By the way, the error on our part is due to the huge size of every row (~90MB). The dataset viewer does not support such big dataset rows for the moment.\r\nAnyway, we're working to give a hint about this in the dataset viewer.",
"Fixed. See https://huggi... |
https://api.github.com/repos/huggingface/datasets/issues/1837 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1837/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1837/comments | https://api.github.com/repos/huggingface/datasets/issues/1837/events | https://github.com/huggingface/datasets/issues/1837 | 803,555,650 | MDU6SXNzdWU4MDM1NTU2NTA= | 1,837 | Add VCTK | [
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"color": "d93f0b",... | closed | false | null | 2 | 2021-02-08T13:15:28Z | 2021-12-28T15:05:08Z | 2021-12-28T15:05:08Z | null | ## Adding a Dataset
- **Name:** *VCTK*
- **Description:** *This CSTR VCTK Corpus includes speech data uttered by 110 English speakers with various accents. Each speaker reads out about 400 sentences, which were selected from a newspaper, the rainbow passage and an elicitation paragraph used for the speech accent archive.*
- **Paper:** Homepage: https://datashare.ed.ac.uk/handle/10283/3443
- **Data:** https://datashare.ed.ac.uk/handle/10283/3443
- **Motivation:** Important speech dataset
- **TFDatasets Implementation**: https://www.tensorflow.org/datasets/catalog/vctk
If interested in tackling this issue, feel free to tag @patrickvonplaten
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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"@patrickvonplaten I'd like to take this, if nobody has already done it. I have added datasets before through the datasets sprint, but I feel rusty on the details, so I'll look at the guide as well as similar audio PRs (#1878 in particular comes to mind). If there is any detail I should be aware of please, let me k... |
https://api.github.com/repos/huggingface/datasets/issues/6081 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6081/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6081/comments | https://api.github.com/repos/huggingface/datasets/issues/6081/events | https://github.com/huggingface/datasets/pull/6081 | 1,824,486,278 | PR_kwDODunzps5WjU0k | 6,081 | Deprecate `Dataset.export` | [] | open | false | null | 1 | 2023-07-27T14:22:18Z | 2023-07-27T14:27:56Z | null | null | Deprecate `Dataset.export` that generates a TFRecord file from a dataset as this method is undocumented, and the usage seems low. Users should use [TFRecordWriter](https://www.tensorflow.org/api_docs/python/tf/io/TFRecordWriter#write) or the official [TFRecord](https://www.tensorflow.org/tutorials/load_data/tfrecord) tutorial (on which this method is based) to write TFRecord files instead. | {
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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/341 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/341/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/341/comments | https://api.github.com/repos/huggingface/datasets/issues/341/events | https://github.com/huggingface/datasets/pull/341 | 650,611,969 | MDExOlB1bGxSZXF1ZXN0NDQ0MDcwMjEx | 341 | add fever dataset | [] | closed | false | null | 0 | 2020-07-03T13:53:07Z | 2020-07-06T13:03:48Z | 2020-07-06T13:03:47Z | null | This PR add the FEVER dataset https://fever.ai/ used in with the paper: FEVER: a large-scale dataset for Fact Extraction and VERification (https://arxiv.org/pdf/1803.05355.pdf).
#336 | {
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https://api.github.com/repos/huggingface/datasets/issues/544 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/544/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/544/comments | https://api.github.com/repos/huggingface/datasets/issues/544/events | https://github.com/huggingface/datasets/pull/544 | 689,062,519 | MDExOlB1bGxSZXF1ZXN0NDc2MTc4MDM2 | 544 | [Distributed] Fix load_dataset error when multiprocessing + add test | [] | closed | false | null | 0 | 2020-08-31T09:30:10Z | 2020-08-31T11:15:11Z | 2020-08-31T11:15:10Z | null | Fix #543 + add test | {
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https://api.github.com/repos/huggingface/datasets/issues/3099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3099/comments | https://api.github.com/repos/huggingface/datasets/issues/3099/events | https://github.com/huggingface/datasets/issues/3099 | 1,028,338,078 | I_kwDODunzps49SzGe | 3,099 | AttributeError: module 'huggingface_hub.hf_api' has no attribute 'DatasetInfo' | [
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] | closed | false | null | 6 | 2021-10-17T14:17:47Z | 2021-11-09T16:42:29Z | 2021-11-09T16:42:28Z | null | ## Describe the bug
When using `pip install datasets`
or use `conda install -c huggingface -c conda-forge datasets`
cannot install datasets
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("sst", "default")
```
## Actual results
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-5-fbe7981e6e21> in <module>
1 import torch
2 import transformers
----> 3 from datasets import load_dataset
4
5 dataset = load_dataset("sst", "default")
~/miniforge3/envs/actor/lib/python3.8/site-packages/datasets/__init__.py in <module>
35 from .arrow_reader import ArrowReader, ReadInstruction
36 from .arrow_writer import ArrowWriter
---> 37 from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, DatasetBuilder, GeneratorBasedBuilder
38 from .combine import interleave_datasets
39 from .dataset_dict import DatasetDict, IterableDatasetDict
~/miniforge3/envs/actor/lib/python3.8/site-packages/datasets/builder.py in <module>
42 )
43 from .arrow_writer import ArrowWriter, BeamWriter
---> 44 from .data_files import DataFilesDict, _sanitize_patterns
45 from .dataset_dict import DatasetDict, IterableDatasetDict
46 from .fingerprint import Hasher
~/miniforge3/envs/actor/lib/python3.8/site-packages/datasets/data_files.py in <module>
118
119 def _exec_patterns_in_dataset_repository(
--> 120 dataset_info: huggingface_hub.hf_api.DatasetInfo,
121 patterns: List[str],
122 allowed_extensions: Optional[list] = None,
AttributeError: module 'huggingface_hub.hf_api' has no attribute 'DatasetInfo'
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.13.3
- Platform: macOS-11.3.1-arm64-arm-64bit
- Python version: 3.8.10
- PyArrow version: 5.0.0
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"Hi @JTWang2000, thanks for reporting.\r\n\r\nHowever, I cannot reproduce your reported bug:\r\n```python\r\n>>> from datasets import load_dataset\r\n\r\n>>> dataset = load_dataset(\"sst\", \"default\")\r\n>>> dataset\r\nDatasetDict({\r\n train: Dataset({\r\n features: ['sentence', 'label', 'tokens', 'tre... |
https://api.github.com/repos/huggingface/datasets/issues/5057 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5057/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5057/comments | https://api.github.com/repos/huggingface/datasets/issues/5057/events | https://github.com/huggingface/datasets/pull/5057 | 1,394,827,216 | PR_kwDODunzps5AD4c6 | 5,057 | Support `converters` in `CsvBuilder` | [] | closed | false | null | 1 | 2022-10-03T14:23:21Z | 2022-10-04T11:19:28Z | 2022-10-04T11:17:32Z | null | Add the `converters` param to `CsvBuilder`, to help in situations like [this one](https://discuss.huggingface.co/t/typeerror-in-load-dataset-related-to-a-sequence-of-strings/23545).
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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/4206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4206/comments | https://api.github.com/repos/huggingface/datasets/issues/4206/events | https://github.com/huggingface/datasets/pull/4206 | 1,212,715,581 | PR_kwDODunzps42pJQW | 4,206 | Add Nerval Metric | [
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] | closed | false | null | 1 | 2022-04-22T19:45:00Z | 2023-07-11T09:34:56Z | 2023-07-11T09:34:55Z | null | This PR adds readme.md and ner_val.py to metrics.
Nerval is a python package that helps evaluate NER models. It creates classification report and confusion matrix at entity level. | {
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"Metrics are deprecated in `datasets` and `evaluate` should be used instead: https://github.com/huggingface/evaluate"
] |
https://api.github.com/repos/huggingface/datasets/issues/1461 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1461/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1461/comments | https://api.github.com/repos/huggingface/datasets/issues/1461/events | https://github.com/huggingface/datasets/pull/1461 | 761,415,420 | MDExOlB1bGxSZXF1ZXN0NTM2MDgzODY5 | 1,461 | Adding NewsQA dataset | [] | closed | false | null | 6 | 2020-12-10T17:01:10Z | 2020-12-17T18:29:03Z | 2020-12-17T18:27:36Z | null | Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library. | {
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"Generate the dummy dataset then regenerate the dataset_info.json file, ",
"> Generate the dummy dataset then regenerate the dataset_info.json file,\r\n\r\nThe pytest scripts do not accept manual directory inputs for the data provided manually. This is why the tests fail. ",
"don't use the --auto-generate argum... |
https://api.github.com/repos/huggingface/datasets/issues/1190 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1190/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1190/comments | https://api.github.com/repos/huggingface/datasets/issues/1190/events | https://github.com/huggingface/datasets/pull/1190 | 757,833,698 | MDExOlB1bGxSZXF1ZXN0NTMzMTMwNTM0 | 1,190 | Add Fake News Detection in Filipino dataset | [] | closed | false | null | 2 | 2020-12-06T03:12:15Z | 2020-12-07T15:39:27Z | 2020-12-07T15:39:27Z | null | This PR adds the Fake News Filipino Dataset, a low-resource fake news detection corpora in Filipino. Contains 3,206 expertly-labeled news samples, half of which are real and half of which are fake.
Link to the paper: http://www.lrec-conf.org/proceedings/lrec2020/index.html
Link to the dataset/repo: https://github.com/jcblaisecruz02/Tagalog-fake-news | {
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"Hi! I'm the author of this paper (surprised to see our datasets have been added already).\r\n\r\nThat paper link only leads to the conference index, here's a link to the actual paper: https://www.aclweb.org/anthology/2020.lrec-1.316/\r\n\r\nWould it be fine if I also edited your gsheet entry to reflect this change... |
https://api.github.com/repos/huggingface/datasets/issues/2794 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2794/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2794/comments | https://api.github.com/repos/huggingface/datasets/issues/2794/events | https://github.com/huggingface/datasets/issues/2794 | 969,728,545 | MDU6SXNzdWU5Njk3Mjg1NDU= | 2,794 | Warnings and documentation about pickling incorrect | [
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] | open | false | null | 0 | 2021-08-12T23:09:13Z | 2021-08-12T23:09:31Z | null | null | ## Describe the bug
I have a docs bug and a closely related docs enhancement suggestion!
### Bug
The warning and documentation say "either `dill` or `pickle`" for fingerprinting. But it seems that `dill`, which is installed by `datasets` by default, _must_ work, or else the fingerprinting fails.
Warning:
https://github.com/huggingface/datasets/blob/450b9174765374111e5c6daab0ed294bc3d9b639/src/datasets/fingerprint.py#L262
Docs:
> For a transform to be hashable, it needs to be pickleable using dill or pickle.
> – [docs](https://huggingface.co/docs/datasets/processing.html#fingerprinting)
For my code, `pickle` works, but `dill` fails. The `dill` failure has already been reported in https://github.com/huggingface/datasets/issues/2643. However, the `dill` failure causes a hashing failure in the datasets library, without any backing off to `pickle`. This implies that it's not the case that either `dill` **or** `pickle` can work, but that `dill` must work if it is installed. I think this is more accurate wording, since it is installed and used by default:
https://github.com/huggingface/datasets/blob/c93525dc291346e54212567fa72d7d607befe937/setup.py#L83
... and the hashing will fail if it fails.
### Enhancement
I think it'd be very helpful to add to the documentation how to debug hashing failures. It took me a while to figure out how to diagnose this. There is a very nice two-liner by @lhoestq in https://github.com/huggingface/datasets/issues/2516#issuecomment-865173139:
```python
from datasets.fingerprint import Hasher
Hasher.hash(my_object)
```
I think add this to the docs will help future users quickly debug any hashing troubles of their own :-)
## Steps to reproduce the bug
`dill` but not `pickle` hashing failure in https://github.com/huggingface/datasets/issues/2643
## Expected results
If either `dill` or `pickle` can successfully hash, the hashing will succeed.
## Actual results
If `dill` or `pickle` cannot hash, the hashing fails.
## Environment info
- `datasets` version: 1.9.0
- Platform: Linux-5.8.0-1038-gcp-x86_64-with-glibc2.31
- Python version: 3.9.6
- PyArrow version: 4.0.1
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https://api.github.com/repos/huggingface/datasets/issues/1002 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1002/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1002/comments | https://api.github.com/repos/huggingface/datasets/issues/1002/events | https://github.com/huggingface/datasets/pull/1002 | 755,309,758 | MDExOlB1bGxSZXF1ZXN0NTMxMDQ1MDIx | 1,002 | Adding Medal: MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining | [] | closed | false | null | 2 | 2020-12-02T14:13:17Z | 2020-12-07T16:58:03Z | 2020-12-03T13:14:33Z | null | null | {
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"Could you fix the dummy data before we merge ?\r\nLooks like the dummy `train.csv` is missing",
"Thanks @Narsil @lhoestq for adding MeDAL :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/2345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2345/comments | https://api.github.com/repos/huggingface/datasets/issues/2345/events | https://github.com/huggingface/datasets/issues/2345 | 886,586,872 | MDU6SXNzdWU4ODY1ODY4NzI= | 2,345 | [Question] How to move and reuse preprocessed dataset? | [] | closed | false | null | 4 | 2021-05-11T09:09:17Z | 2021-06-11T04:39:11Z | 2021-06-11T04:39:11Z | null | Hi, I am training a gpt-2 from scratch using run_clm.py.
I want to move and reuse the preprocessed dataset (It take 2 hour to preprocess),
I tried to :
copy path_to_cache_dir/datasets to new_cache_dir/datasets
set export HF_DATASETS_CACHE="new_cache_dir/"
but the program still re-preprocess the whole dataset without loading cache.
I also tried to torch.save(lm_datasets, fw), but the saved file is only 14M.
What is the proper way to do this? | {
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"@lhoestq @LysandreJik",
"<s>Hi :) Can you share with us the code you used ?</s>\r\n\r\nEDIT: from https://github.com/huggingface/transformers/issues/11665#issuecomment-838348291 I understand you're using the run_clm.py script. Can you share your logs ?\r\n",
"Also note that for the caching to work, you must re... |
https://api.github.com/repos/huggingface/datasets/issues/1970 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1970/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1970/comments | https://api.github.com/repos/huggingface/datasets/issues/1970/events | https://github.com/huggingface/datasets/pull/1970 | 819,500,620 | MDExOlB1bGxSZXF1ZXN0NTgyNjAzMzEw | 1,970 | Fixing the URL filtering for bad MLSUM examples in GEM | [] | closed | false | null | 0 | 2021-03-02T01:22:58Z | 2021-03-02T03:19:06Z | 2021-03-02T02:01:33Z | null | This updates the code and metadata to use the updated `gem_mlsum_bad_ids_fixed.json` file provided by @juand-r
cc @sebastianGehrmann | {
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https://api.github.com/repos/huggingface/datasets/issues/1050 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1050/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1050/comments | https://api.github.com/repos/huggingface/datasets/issues/1050/events | https://github.com/huggingface/datasets/pull/1050 | 756,166,728 | MDExOlB1bGxSZXF1ZXN0NTMxNzU1MDQ3 | 1,050 | Add GoEmotions | [] | closed | false | null | 1 | 2020-12-03T12:49:53Z | 2020-12-03T17:37:45Z | 2020-12-03T17:30:08Z | null | Adds the GoEmotions dataset, a nice emotion classification dataset with 27 (multi-)label annotations on reddit comments. Includes both a large raw version and a narrowed version with predefined train/test/val splits, which I've included as separate configs with the latter as a default.
- Webpage/repo: https://github.com/google-research/google-research/tree/master/goemotions
- Paper: https://arxiv.org/abs/2005.00547 | {
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"Whoops, didn't mean for that to be merged yet (my bad). I'm reaching out to the authors since we'd like their feedback on the best way to have the `author` field anonymized or removed. Will send a patch once they get back to me."
] |
https://api.github.com/repos/huggingface/datasets/issues/3463 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3463/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3463/comments | https://api.github.com/repos/huggingface/datasets/issues/3463/events | https://github.com/huggingface/datasets/pull/3463 | 1,085,078,795 | PR_kwDODunzps4wGB4P | 3,463 | Update swahili_news dataset | [] | closed | false | null | 0 | 2021-12-20T18:20:20Z | 2021-12-21T06:24:03Z | 2021-12-21T06:24:02Z | null | Update dataset with latest verion data files.
Fix #3462.
Close bigscience-workshop/data_tooling#107 | {
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https://api.github.com/repos/huggingface/datasets/issues/4198 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4198/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4198/comments | https://api.github.com/repos/huggingface/datasets/issues/4198/events | https://github.com/huggingface/datasets/issues/4198 | 1,211,456,559 | I_kwDODunzps5INVwv | 4,198 | There is no dataset | [] | closed | false | null | 0 | 2022-04-21T19:19:26Z | 2022-05-03T11:29:05Z | 2022-04-22T06:12:25Z | null | ## Dataset viewer issue for '*name of the dataset*'
**Link:** *link to the dataset viewer page*
*short description of the issue*
Am I the one who added this dataset ? Yes-No
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https://api.github.com/repos/huggingface/datasets/issues/4319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4319/comments | https://api.github.com/repos/huggingface/datasets/issues/4319/events | https://github.com/huggingface/datasets/pull/4319 | 1,232,982,023 | PR_kwDODunzps43q0UY | 4,319 | Adding eval metadata for ade v2 | [] | closed | false | null | 1 | 2022-05-11T17:36:20Z | 2022-05-12T13:29:51Z | 2022-05-12T13:22:19Z | null | Adding metadata to allow evaluation | {
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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/26 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/26/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/26/comments | https://api.github.com/repos/huggingface/datasets/issues/26/events | https://github.com/huggingface/datasets/pull/26 | 610,226,047 | MDExOlB1bGxSZXF1ZXN0NDExNzA2NjA2 | 26 | [Tests] Clean tests | [] | closed | false | null | 0 | 2020-04-30T16:38:29Z | 2020-04-30T20:12:04Z | 2020-04-30T20:12:03Z | null | the abseil testing library (https://abseil.io/docs/python/quickstart.html) is better than the one I had before, so I decided to switch to that and changed the `setup.py` config file.
Abseil has more support and a cleaner API for parametrized testing I think.
I added a list of all dataset scripts that are currently on AWS, but will replace that once the
API is integrated into this lib.
One can now easily test for just a single function for a single dataset with:
`tests/test_dataset_common.py::DatasetTest::test_load_dataset_wikipedia`
NOTE: This PR is rebased on PR #29 so should be merged after. | {
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https://api.github.com/repos/huggingface/datasets/issues/2428 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2428/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2428/comments | https://api.github.com/repos/huggingface/datasets/issues/2428/events | https://github.com/huggingface/datasets/pull/2428 | 907,169,746 | MDExOlB1bGxSZXF1ZXN0NjU4MDU2MjI3 | 2,428 | Add copyright info for wiki_lingua dataset | [] | closed | false | null | 3 | 2021-05-31T07:22:52Z | 2021-06-04T10:22:33Z | 2021-06-04T10:22:33Z | null | {
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"Build fails but this change should not be the reason...",
"rebased on master",
"rebased on master"
] | |
https://api.github.com/repos/huggingface/datasets/issues/421 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/421/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/421/comments | https://api.github.com/repos/huggingface/datasets/issues/421/events | https://github.com/huggingface/datasets/pull/421 | 662,213,864 | MDExOlB1bGxSZXF1ZXN0NDUzNzkzMzQ1 | 421 | Style change | [] | closed | false | null | 3 | 2020-07-20T20:08:29Z | 2020-07-22T16:08:40Z | 2020-07-22T16:08:39Z | null | make quality and make style ran on scripts | {
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"What about the other PR #419 ?",
"Oh this is the PR where I ran make quality and make style and some previous files from master were changed",
"Oh right ! Let me fix the style myself if you don't mind"
] |
https://api.github.com/repos/huggingface/datasets/issues/5888 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5888/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5888/comments | https://api.github.com/repos/huggingface/datasets/issues/5888/events | https://github.com/huggingface/datasets/issues/5888 | 1,722,290,363 | I_kwDODunzps5mqBC7 | 5,888 | A way to upload and visualize .mp4 files (millions of them) as part of a dataset | [] | open | false | null | 9 | 2023-05-22T18:05:26Z | 2023-06-23T03:37:16Z | null | null | **Is your feature request related to a problem? Please describe.**
I recently chose to use huggingface hub as the home for a large multi modal dataset I've been building. https://huggingface.co/datasets/Antreas/TALI
It combines images, text, audio and video. Now, I could very easily upload a dataset made via datasets.Dataset.from_generator, as long as it did not include video files. I found that including .mp4 files in the entries would not auto-upload those files.
Hence I tried to upload them myself. I quickly found out that uploading many small files is a very bad way to use git lfs, and that it would take ages, so, I resorted to using 7z to pack them all up. But then I had a new problem.
My dataset had a size of 1.9TB. Trying to upload such a large file with the default huggingface_hub API always resulted in time outs etc. So I decided to split the large files into chunks of 5GB each and reupload.
So, eventually it all worked out. But now the dataset can't be properly and natively used by the datasets API because of all the needed preprocessing -- and furthermore the hub is unable to visualize things.
**Describe the solution you'd like**
A native way to upload large datasets that include .mp4 or other video types.
**Describe alternatives you've considered**
Already explained earlier
**Additional context**
https://huggingface.co/datasets/Antreas/TALI
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"Hi! \r\n\r\nYou want to use `push_to_hub` (creates Parquet files) instead of `save_to_disk` (creates Arrow files) when creating a Hub dataset. Parquet is designed for long-term storage and takes less space than the Arrow format, and, most importantly, `load_dataset` can parse it, which should fix the viewer. \r\n\... |
https://api.github.com/repos/huggingface/datasets/issues/703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/703/comments | https://api.github.com/repos/huggingface/datasets/issues/703/events | https://github.com/huggingface/datasets/pull/703 | 713,559,718 | MDExOlB1bGxSZXF1ZXN0NDk2ODU1OTQ5 | 703 | Add hotpot QA | [] | closed | false | null | 5 | 2020-10-02T11:44:28Z | 2020-10-02T12:54:41Z | 2020-10-02T12:54:41Z | null | Added the [HotpotQA](https://github.com/hotpotqa/hotpot) multi-hop question answering dataset.
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"Awesome :) \r\n\r\nDon't pay attention to the RemoteDatasetTest error, I'm fixing it right now",
"You can rebase from master to fix the CI test :)",
"If we're lucky we can even include this dataset in today's release",
"Just thinking since `type` can only be `comparison` or `bridge` and `level` can only be `... |
https://api.github.com/repos/huggingface/datasets/issues/5425 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5425/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5425/comments | https://api.github.com/repos/huggingface/datasets/issues/5425/events | https://github.com/huggingface/datasets/issues/5425 | 1,534,581,850 | I_kwDODunzps5bd9xa | 5,425 | Sort on multiple keys with datasets.Dataset.sort() | [
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"default": true... | closed | false | null | 10 | 2023-01-16T09:22:26Z | 2023-02-24T16:15:11Z | 2023-02-24T16:15:11Z | null | ### Feature request
From discussion on forum: https://discuss.huggingface.co/t/datasets-dataset-sort-does-not-preserve-ordering/29065/1
`sort()` does not preserve ordering, and it does not support sorting on multiple columns, nor a key function.
The suggested solution:
> ... having something similar to pandas and be able to specify multiple columns for sorting. We’re already using pandas under the hood to do the sorting in datasets.
The suggested workaround:
> convert your dataset to pandas and use `df.sort_values()`
### Motivation
Preserved ordering when sorting is very handy when one needs to sort on multiple columns, A and B, so that e.g. whenever A is equal for two or more rows, B is kept sorted.
Having a parameter to do this in 🤗datasets would be cleaner than going through pandas and back, and it wouldn't add much complexity to the library.
Alternatives:
- the possibility to specify multiple keys to sort by with decreasing priority (suggested solution),
- the ability to provide a key function for sorting, so that one can manually specify the sorting criteria.
### Your contribution
I'll be happy to contribute by submitting a PR. Will get documented on `CONTRIBUTING.MD`.
Would love to get thoughts on this, if anyone has anything to add. | {
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"Hi! \r\n\r\n`Dataset.sort` calls `df.sort_values` internally, and `df.sort_values` brings all the \"sort\" columns in memory, so sorting on multiple keys could be very expensive. This makes me think that maybe we can replace `df.sort_values` with `pyarrow.compute.sort_indices` - the latter can also sort on multipl... |
https://api.github.com/repos/huggingface/datasets/issues/3553 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3553/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3553/comments | https://api.github.com/repos/huggingface/datasets/issues/3553/events | https://github.com/huggingface/datasets/issues/3553 | 1,097,252,275 | I_kwDODunzps5BZr2z | 3,553 | set_format("np") no longer works for Image data | [
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] | closed | false | null | 5 | 2022-01-09T17:18:13Z | 2022-10-14T12:03:55Z | 2022-10-14T12:03:54Z | null | ## Describe the bug
`dataset.set_format("np")` no longer works for image data, previously you could load the MNIST like this:
```python
dataset = load_dataset("mnist")
dataset.set_format("np")
X_train = dataset["train"]["image"][..., None] # <== No longer a numpy array
```
but now it doesn't work, `set_format("np")` seems to have no effect and the dataset just returns a list/array of PIL images instead of numpy arrays as requested.
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"A quick fix for now is doing this:\r\n\r\n```python\r\nX_train = np.stack(dataset[\"train\"][\"image\"])[..., None]",
"This error also propagates to jax and is even trickier to fix, since `.with_format(type='jax')` will use numpy conversion internally (and fail). For a three line failure:\r\n\r\n```python\r\ndat... |
https://api.github.com/repos/huggingface/datasets/issues/96 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/96/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/96/comments | https://api.github.com/repos/huggingface/datasets/issues/96/events | https://github.com/huggingface/datasets/pull/96 | 617,739,521 | MDExOlB1bGxSZXF1ZXN0NDE3NjAwMjY4 | 96 | lm1b | [] | closed | false | null | 1 | 2020-05-13T20:38:44Z | 2020-05-14T14:13:30Z | 2020-05-14T14:13:29Z | null | Add lm1b dataset. | {
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"I might have a different version of `isort` than others. It seems like I'm always reordering the imports of others. But isn't really a problem..."
] |
https://api.github.com/repos/huggingface/datasets/issues/4227 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4227/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4227/comments | https://api.github.com/repos/huggingface/datasets/issues/4227/events | https://github.com/huggingface/datasets/pull/4227 | 1,216,455,316 | PR_kwDODunzps420-mc | 4,227 | Add f1 metric card, update docstring in py file | [] | closed | false | null | 1 | 2022-04-26T20:41:03Z | 2022-05-03T12:50:23Z | 2022-05-03T12:43:33Z | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5266 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5266/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5266/comments | https://api.github.com/repos/huggingface/datasets/issues/5266/events | https://github.com/huggingface/datasets/pull/5266 | 1,455,281,310 | PR_kwDODunzps5DN9BT | 5,266 | Specify arguments as keywords in librosa.reshape to avoid future errors | [] | closed | false | null | 1 | 2022-11-18T14:58:47Z | 2022-11-21T15:45:02Z | 2022-11-21T15:41:57Z | null | Fixes a warning and future deprecation from `librosa.reshape`:
```
FutureWarning: Pass orig_sr=16000, target_sr=48000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
``` | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/5266"
} | true | [
"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/1764 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1764/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1764/comments | https://api.github.com/repos/huggingface/datasets/issues/1764/events | https://github.com/huggingface/datasets/issues/1764 | 791,486,860 | MDU6SXNzdWU3OTE0ODY4NjA= | 1,764 | Connection Issues | [] | closed | false | null | 1 | 2021-01-21T20:56:09Z | 2021-01-21T21:00:19Z | 2021-01-21T21:00:02Z | null | Today, I am getting connection issues while loading a dataset and the metric.
```
Traceback (most recent call last):
File "src/train.py", line 180, in <module>
train_dataset, dev_dataset, test_dataset = create_race_dataset()
File "src/train.py", line 130, in create_race_dataset
train_dataset = load_dataset("race", "all", split="train")
File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/load.py", line 591, in load_dataset
path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True
File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/load.py", line 267, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 343, in cached_path
max_retries=download_config.max_retries,
File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 617, in get_from_cache
raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/race/race.py
```
Or
```
Traceback (most recent call last):
File "src/train.py", line 105, in <module>
rouge = datasets.load_metric("rouge")
File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/load.py", line 500, in load_metric
dataset=False,
File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/load.py", line 267, in prepare_module
local_path = cached_path(file_path, download_config=download_config)
File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 343, in cached_path
max_retries=download_config.max_retries,
File "/Users/saeed/Desktop/codes/repos/dreamscape-qa/env/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 617, in get_from_cache
raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/metrics/rouge/rouge.py
``` | {
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"Academic WIFI was blocking."
] |
https://api.github.com/repos/huggingface/datasets/issues/6054 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6054/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6054/comments | https://api.github.com/repos/huggingface/datasets/issues/6054/events | https://github.com/huggingface/datasets/issues/6054 | 1,813,271,304 | I_kwDODunzps5sFFMI | 6,054 | Multi-processed `Dataset.map` slows down a lot when `import torch` | [
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"id": 1935892865,
"name": "duplicate",
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"url": "https://api.github.com/repos/huggingface/datasets/labels/duplicate"
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] | closed | false | null | 1 | 2023-07-20T06:36:14Z | 2023-07-21T15:19:37Z | 2023-07-21T15:19:37Z | null | ### Describe the bug
When using `Dataset.map` with `num_proc > 1`, the speed slows down much if I add `import torch` to the start of the script even though I don't use it.
I'm not sure if it's `torch` only or if any other package that is "large" will also cause the same result.
BTW, `import lightning` also slows it down.
Below are the progress bars of `Dataset.map`, the only difference between them is with or without `import torch`, but the speed varies by 6-7 times.
- without `import torch` 
- with `import torch` 
### Steps to reproduce the bug
Below is the code I used, but I don't think the dataset and the mapping function have much to do with the phenomenon.
```python3
from datasets import load_from_disk, disable_caching
from transformers import AutoTokenizer
# import torch
# import lightning
def rearrange_datapoints(
batch,
tokenizer,
sequence_length,
):
datapoints = []
input_ids = []
for x in batch['input_ids']:
input_ids += x
while len(input_ids) >= sequence_length:
datapoint = input_ids[:sequence_length]
datapoints.append(datapoint)
input_ids[:sequence_length] = []
if input_ids:
paddings = [-1] * (sequence_length - len(input_ids))
datapoint = paddings + input_ids if tokenizer.padding_side == 'left' else input_ids + paddings
datapoints.append(datapoint)
batch['input_ids'] = datapoints
return batch
if __name__ == '__main__':
disable_caching()
tokenizer = AutoTokenizer.from_pretrained('...', use_fast=False)
dataset = load_from_disk('...')
dataset = dataset.map(
rearrange_datapoints,
fn_kwargs=dict(
tokenizer=tokenizer,
sequence_length=2048,
),
batched=True,
num_proc=8,
)
```
### Expected behavior
The multi-processed `Dataset.map` function speed between with and without `import torch` should be the same.
### Environment info
- `datasets` version: 2.13.1
- Platform: Linux-3.10.0-1127.el7.x86_64-x86_64-with-glibc2.31
- Python version: 3.10.11
- Huggingface_hub version: 0.14.1
- PyArrow version: 12.0.0
- Pandas version: 2.0.1 | {
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"A duplicate of https://github.com/huggingface/datasets/issues/5929"
] |
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