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https://api.github.com/repos/huggingface/datasets/issues/4648 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4648/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4648/comments | https://api.github.com/repos/huggingface/datasets/issues/4648/events | https://github.com/huggingface/datasets/issues/4648 | 1,296,659,335 | I_kwDODunzps5NSXOH | 4,648 | Add WikiAnswers dataset | {
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"uploaded dataset [here](https://huggingface.co/datasets/embedding-data/WikiAnswers)"
] | 1,657,155,997,000 | 1,657,764,220,000 | 1,657,764,220,000 | NONE | null | null | null | ## Adding a Dataset
- **Name:** *WikiAnswers*
- **Description:** *The WikiAnswers corpus contains clusters of questions tagged by WikiAnswers users as paraphrases. Each cluster optionally contains an answer provided by WikiAnswers users.*
- **Paper:** *https://dl.acm.org/doi/10.1145/2623330.2623677*
- **Data:** *https://github.com/afader/oqa#wikianswers-corpus*
- **Motivation:** *Dataset for training and evaluating models of conversational response*
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] | open | false | null | [] | null | [] | 1,657,136,958,000 | 1,657,136,958,000 | null | NONE | null | null | null | ## Adding a Dataset
- **Name:** *Reddit comments (2015-2018)*
- **Description:** *Reddit is an American social news aggregation website, where users can post links, and take part in discussions on these posts. These threaded discussions provide a large corpus, which is converted into a conversational dataset using the tools in this directory.*
- **Paper:** *https://arxiv.org/abs/1904.06472*
- **Data:** *https://github.com/PolyAI-LDN/conversational-datasets/tree/master/reddit*
- **Motivation:** *Dataset for training and evaluating models of conversational response*
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,657,122,201,000 | 1,657,122,981,000 | 1,657,122,305,000 | MEMBER | null | false | {
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```
AssertionError: 'https://raw.githubusercontent.com/huggingface/datasets/main/datasets/_dummy/_dummy.py' not found in "Couldn't find a dataset script at /home/circleci/datasets/_dummy/_dummy.py or any data file in the same directory. Couldn't find '_dummy' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/_dummy/_dummy.py"
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This is because in the CI we were still using `HF_SCRIPTS_VERSION=master`. I changed it to "main" | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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"_The documentation is not available anymore as the PR was closed or merged._",
"All the mentions I found on google were simple URLs that will be redirected, so it's fine. I also checked the spaces and we should be good:\r\n- dalle-mini used to install the master branch but [it's no longer the case](https://huggi... | 1,657,114,470,000 | 1,657,121,806,000 | 1,657,121,108,000 | MEMBER | null | false | {
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} | This PR renames mentions of "master" by "main" in the code base for several cases:
- set the default dataset script version to "main" if the local installation of `datasets` is a dev installation
- update URLs to this github repository to use "main"
- update the DVC benchmark
- update the github workflows
- update docstrings
- update tests to compare the changes in dataset cards against "main"
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"Thanks for reporting @lewtun.\r\n\r\nI confirm there is an issue with streaming: it does not stream locally. ",
"Oh, after investigation, the source of the issue is in the Hub dataset loading script.\r\n\r\nI'm opening a PR on the Hub dataset.",
"I've opened a PR on their Hub dataset to support streaming: http... | 1,657,109,587,000 | 1,657,117,054,000 | 1,657,117,054,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/ccdv/pubmed-summarization
### Description
This was reported by a [user of AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/7). It seems like streaming doesn't work due to the way the dataset loading script is defined?
```
Status code: 400
Exception: FileNotFoundError
Message: https://huggingface.co/datasets/ccdv/pubmed-summarization/resolve/main/train.zip/train.txt
```
### Owner
No | {
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"Thanks for reporting, @lewtun.\r\n\r\nIt works locally in streaming mode:\r\n```\r\n{'bid': 27681,\r\n 'is_aggregate': True,\r\n 'source': 'cliffnotes',\r\n 'chapter_path': 'all_chapterized_books/27681-chapters/chapters_1_to_2.txt',\r\n 'summary_path': 'finished_summaries/cliffnotes/The Last of the Mohicans/sectio... | 1,657,103,896,000 | 1,657,113,928,000 | 1,657,108,686,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/kmfoda/booksum
### Description
A [user of AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/9) discovered this dataset cannot be streamed due to:
```
Status code: 400
Exception: ClientResponseError
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/kmfoda/booksum/resolve/47953f583d6967f086cb16a2f4d2346e9834024d/test.csv')
```
I'm not sure why it says "Unauthorized" since it's just a bunch of CSV files in a repo
### Owner
No | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4640). All of your documentation changes will be reflected on that endpoint."
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- **Name:** HaGRID -- HAnd Gesture Recognition Image Dataset
- **Description:** We introduce a large image dataset HaGRID (HAnd Gesture Recognition Image Dataset) for hand gesture recognition (HGR) systems. You can use it for image classification or image detection tasks. Proposed dataset allows to build HGR systems, which can be used in video conferencing services (Zoom, Skype, Discord, Jazz etc.), home automation systems, the automotive sector, etc.
- **Paper:** https://arxiv.org/abs/2206.08219
- **Data:** https://github.com/hukenovs/hagrid
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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"CircleCL reported two errors, but I didn't find the reason. The error message:\r\n```\r\n_________________ ERROR collecting tests/test_dataset_cards.py _________________\r\ntests/test_dataset_cards.py:53: in <module>\r\n @pytest.mark.parametrize(\"dataset_name\", get_changed_datasets(repo_path))\r\ntests/test_d... | 1,657,088,250,000 | 1,658,835,936,000 | null | NONE | null | true | {
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} | [speechocean762](https://www.openslr.org/101/) is a non-native English corpus for pronunciation scoring tasks. It is free for both commercial and non-commercial use.
I believe it will be easier to use if it could be available on Hugging Face. | {
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"Thanks for reporting @cakiki.\r\n\r\nYes, this is a bug. We are investigating it.",
"@albertvillanova Nice! Let me know if it's something I can fix my self; would love to contribtue!",
"@cakiki I was working on this but if you would like to contribute, go ahead. I will close my PR. ;)\r\n\r\nFor the moment I j... | 1,657,058,209,000 | 1,657,893,570,000 | null | CONTRIBUTOR | null | null | null | ## Describe the bug
Not sure if this is a bug or just the way streaming works, but setting `streaming=True` did not work when setting `split="all"`
## Steps to reproduce the bug
The following works:
```python
ds = load_dataset('super_glue', 'wsc.fixed', split='all')
```
The following throws `ValueError: Bad split: all. Available splits: ['train', 'validation', 'test']`:
```python
ds = load_dataset('super_glue', 'wsc.fixed', split='all', streaming=True)
```
## Expected results
An iterator over all splits.
## Actual results
I had to do the following to achieve the desired result:
```python
from itertools import chain
ds = load_dataset('super_glue', 'wsc.fixed', streaming=True)
it = chain.from_iterable(ds.values())
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.3.2
- Platform: Linux-4.15.0-176-generic-x86_64-with-glibc2.31
- Python version: 3.10.5
- PyArrow version: 8.0.0
- Pandas version: 1.4.3
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I went to override `download_config.num_proc` and was confused about what was happening under the hood. It would be nice to have the behavior documented a bit better so folks know what's happening when they use it.
**Describe the solution you'd like**
- Add note about how the default number of workers is 16. Related code:
https://github.com/huggingface/datasets/blob/7bcac0a6a0fc367cc068f184fa132b8de8dfa11d/src/datasets/download/download_manager.py#L299-L302
- Add note that if the number of workers is higher than the number of files to download, it won't use multiprocessing.
**Describe alternatives you've considered**
maybe it would also be nice to set `num_proc` = `num_files` when `num_proc` > `num_files`.
**Additional context**
...
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"Thanks for reporting, @e-tornike \r\n\r\nSome context:\r\n- #4527 \r\n\r\nThe dataset loads locally in streaming mode:\r\n```python\r\nIn [2]: from datasets import load_dataset; ds = load_dataset(\"vadis/sv-ident\", split=\"validation\", streaming=True); item = next(iter(ds)); item\r\nUsing custom data configurati... | 1,657,036,093,000 | 1,657,091,613,000 | 1,657,091,534,000 | NONE | null | null | null | ### Link
https://huggingface.co/datasets/vadis/sv-ident/viewer/default/validation
### Description
Error message when loading validation split in the viewer:
```
Status code: 400
Exception: Status400Error
Message: The split cache is empty.
```
### Owner
_No response_ | {
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https://api.github.com/repos/huggingface/datasets/issues/4634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4634/comments | https://api.github.com/repos/huggingface/datasets/issues/4634/events | https://github.com/huggingface/datasets/issues/4634 | 1,294,405,251 | I_kwDODunzps5NJw6D | 4,634 | Can't load the Hausa audio dataset | {
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"Could you provide the error details. It is difficult to debug otherwise. Also try other config. `ha` is not a valid."
] | 1,657,032,456,000 | 1,657,859,128,000 | null | NONE | null | null | null | common_voice_train = load_dataset("common_voice", "ha", split="train+validation") | {
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https://api.github.com/repos/huggingface/datasets/issues/4633 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4633/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4633/comments | https://api.github.com/repos/huggingface/datasets/issues/4633/events | https://github.com/huggingface/datasets/pull/4633 | 1,294,367,783 | PR_kwDODunzps462_qX | 4,633 | [data_files] Only match separated split names | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I ran a script to find affected datasets (just did it on non-private non-gated). Adding \"testing\" and \"evaluation\" fixes all of of them except one:\r\n- projecte-aina/cat_manynames:\thuman_annotated_testset.tsv\r\n\r\nLet me open... | 1,657,030,691,000 | 1,658,150,429,000 | 1,658,149,653,000 | MEMBER | null | false | {
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} | As reported in https://github.com/huggingface/datasets/issues/4477, the current pattern matching to infer which file goes into which split is too permissive. For example a file "contest.py" would be considered part of a test split (it contains "test") and "seqeval.py" as well (it contains "eval").
In this PR I made the pattern matching more robust by only matching split names **between separators**. The supported separators are dots, dashes, spaces and underscores.
I updated the docs accordingly.
One detail about the tests: I had to update one test because it was using `PurePath.match` as a reference for globbing, but it doesn't support the `[..]` glob pattern. Therefore I added a `mock_fs` context manager that can be used to easily define a dummy filesystem with certain files in it and run pattern matching tests. Its code comes mostly from test_streaming_download_manager.py
Close https://github.com/huggingface/datasets/issues/4477 | {
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https://api.github.com/repos/huggingface/datasets/issues/4632 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4632/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4632/comments | https://api.github.com/repos/huggingface/datasets/issues/4632/events | https://github.com/huggingface/datasets/issues/4632 | 1,294,166,880 | I_kwDODunzps5NI2tg | 4,632 | 'sort' method sorts one column only | {
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"Hi ! `ds.sort()` does sort the full dataset, not just one column:\r\n```python\r\nfrom datasets import *\r\n\r\nds = Dataset.from_dict({\"foo\": [3, 2, 1], \"bar\": [\"c\", \"b\", \"a\"]})\r\nprint(d.sort(\"foo\").to_pandas()\r\n# foo bar\r\n# 0 1 a\r\n# 1 2 b\r\n# 2 3 c\r\n```\r\n\r\nWhat made y... | 1,657,020,326,000 | 1,657,195,592,000 | null | NONE | null | null | null | The 'sort' method changes the order of one column only (the one defined by the argument 'column'), thus creating a mismatch between a sample fields. I would expect it to change the order of the samples as a whole, based on the 'column' order. | {
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https://api.github.com/repos/huggingface/datasets/issues/4631 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4631/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4631/comments | https://api.github.com/repos/huggingface/datasets/issues/4631/events | https://github.com/huggingface/datasets/pull/4631 | 1,293,545,900 | PR_kwDODunzps460Vy0 | 4,631 | Update WinoBias README | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,656,966,280,000 | 1,657,200,212,000 | 1,657,199,507,000 | CONTRIBUTOR | null | false | {
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} | I'm adding some information about Winobias that I got from the paper :smile:
I think this makes it a bit clearer! | {
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https://api.github.com/repos/huggingface/datasets/issues/4630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4630/comments | https://api.github.com/repos/huggingface/datasets/issues/4630/events | https://github.com/huggingface/datasets/pull/4630 | 1,293,470,728 | PR_kwDODunzps460HFM | 4,630 | fix(dataset_wrappers): Fixes access to fsspec.asyn in torch_iterable_dataset.py. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,656,959,215,000 | 1,657,034,392,000 | 1,657,033,701,000 | CONTRIBUTOR | null | false | {
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} | Fix #4612.
Apparently, newest `fsspec` versions do not allow access to attribute-based modules if they are not imported, such as `fsspec.async`.
Thus, @mariosasko suggested to add the missing part to the module import to allow for its access. | {
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https://api.github.com/repos/huggingface/datasets/issues/4629 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4629/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4629/comments | https://api.github.com/repos/huggingface/datasets/issues/4629/events | https://github.com/huggingface/datasets/issues/4629 | 1,293,418,800 | I_kwDODunzps5NGAEw | 4,629 | Rename repo default branch to main | {
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"followers_url": "https://api.git... | null | [] | 1,656,954,970,000 | 1,657,122,597,000 | 1,657,122,597,000 | MEMBER | null | null | null | Rename repository default branch to `main` (instead of current `master`).
Once renamed, users will have to manually update their local repos:
- [ ] Upstream:
```
git branch -m master main
git fetch upstream main
git branch -u upstream/main main
git remote set-head upstream -a
```
- [ ] Origin:
Rename fork default branch as well at: https://github.com/USERNAME/lam/settings/branches
Then:
```
git fetch origin main
git remote set-head origin -a
```
CC: @sgugger | {
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https://api.github.com/repos/huggingface/datasets/issues/4628 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4628/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4628/comments | https://api.github.com/repos/huggingface/datasets/issues/4628/events | https://github.com/huggingface/datasets/pull/4628 | 1,293,361,308 | PR_kwDODunzps46zvFJ | 4,628 | Fix time type `_arrow_to_datasets_dtype` conversion | {
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} | Fix #4620
The issue stems from the fact that `pa.array([time_data]).type` returns `DataType(time64[unit])`, which doesn't expose the `unit` attribute, instead of `Time64Type(time64[unit])`. I believe this is a bug in PyArrow. Luckily, the both types have the same `str()`, so in this PR I call `pa.type_for_alias(str(type))` to convert them both to the `Time64Type(time64[unit])` format.
cc @severo | {
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https://api.github.com/repos/huggingface/datasets/issues/4627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4627/comments | https://api.github.com/repos/huggingface/datasets/issues/4627/events | https://github.com/huggingface/datasets/pull/4627 | 1,293,287,798 | PR_kwDODunzps46zfNa | 4,627 | fixed duplicate calculation of spearmanr function in metrics wrapper. | {
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"Great, can open a PR in `evaluate` as well to optimize this.\r\n\r\nRelatedly, I wanted to add a new metric, Kendall Tau (https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.kendalltau.html). If I were to open a PR with the wrapper, description, citation, docstrings, readme, etc. would it make more se... | 1,656,946,921,000 | 1,657,197,669,000 | 1,657,197,669,000 | CONTRIBUTOR | null | false | {
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} | During _compute, the scipy.stats spearmanr function was called twice, redundantly, once for calculating the score and once for calculating the p-value, under the conditional branch where return_pvalue=True. I adjusted the _compute function to execute the spearmanr function once, store the results tuple in a temporary variable, and then pass the indexed contents to the expected keys of the returned dictionary. | {
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https://api.github.com/repos/huggingface/datasets/issues/4626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4626/comments | https://api.github.com/repos/huggingface/datasets/issues/4626/events | https://github.com/huggingface/datasets/issues/4626 | 1,293,256,269 | I_kwDODunzps5NFYZN | 4,626 | Add non-commercial licensing info for datasets for which we removed tags | {
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"yep plus `license_details` also makes sense for this IMO"
] | 1,656,945,163,000 | 1,657,290,449,000 | null | MEMBER | null | null | null | We removed several YAML tags saying that certain datasets can't be used for commercial purposes: https://github.com/huggingface/datasets/pull/4613#discussion_r911919753
Reason for this is that we only allow tags that are part of our [supported list of licenses](https://github.com/huggingface/datasets/blob/84fc3ad73c85de4eda5d152dfede7671491449cb/src/datasets/utils/resources/standard_licenses.tsv)
We should update the Licensing Information section of the concerned dataset cards, now that the non-commercial tag doesn't exist anymore for certain datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/4625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4625/comments | https://api.github.com/repos/huggingface/datasets/issues/4625/events | https://github.com/huggingface/datasets/pull/4625 | 1,293,163,744 | PR_kwDODunzps46zELz | 4,625 | Unpack `dl_manager.iter_files` to allow parallization | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Cool thanks ! Yup it sounds like the right solution.\r\n\r\nIt looks like `_generate_tables` needs to be updated as well to fix the CI"
] | 1,656,940,618,000 | 1,657,019,514,000 | 1,657,018,848,000 | CONTRIBUTOR | null | false | {
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} | Iterate over data files outside `dl_manager.iter_files` to allow parallelization in streaming mode.
(The issue reported [here](https://discuss.huggingface.co/t/dataset-only-have-n-shard-1-when-has-multiple-shards-in-repo/19887))
PS: Another option would be to override `FilesIterable.__getitem__` to make it indexable and check for that type in `_shard_kwargs` and `n_shards,` but IMO this solution adds too much unnecessary complexity. | {
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https://api.github.com/repos/huggingface/datasets/issues/4624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4624/comments | https://api.github.com/repos/huggingface/datasets/issues/4624/events | https://github.com/huggingface/datasets/pull/4624 | 1,293,085,058 | PR_kwDODunzps46yzOK | 4,624 | Remove all paperswithcode_id: null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> We've been using `null` to specify that we checked on pwc but the dataset doesn't exist there.\r\n\r\n@lhoestq maybe it's better to accept it on the Hub side then? Let me know if you want us to do it Hub-side",
"Yup it's maybe be... | 1,656,936,692,000 | 1,656,940,920,000 | 1,656,940,238,000 | MEMBER | null | false | {
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} | On the Hub there is a validation error on the `paperswithcode_id` tag when the value is `null`:
<img width="686" alt="image" src="https://user-images.githubusercontent.com/42851186/177151825-93d341c5-25bd-41ab-96c2-c0b516d51c68.png">
We've been using `null` to specify that we checked on pwc but the dataset doesn't exist there.
To have the validation working again we can simply remove all the `paperswithcode_id: null`.
cc @julien-c | {
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https://api.github.com/repos/huggingface/datasets/issues/4623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4623/comments | https://api.github.com/repos/huggingface/datasets/issues/4623/events | https://github.com/huggingface/datasets/issues/4623 | 1,293,042,894 | I_kwDODunzps5NEkTO | 4,623 | Loading MNIST as Pytorch Dataset | {
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"Hi ! We haven't implemented the conversion from images data to PyTorch tensors yet I think\r\n\r\ncc @mariosasko ",
"So I understand:\r\n\r\nset_format() does not properly do the conversion to pytorch tensors from PIL images.\r\n\r\nSo that someone who stumbles on this can use the package:\r\n\r\n```python\r\nda... | 1,656,934,390,000 | 1,656,945,650,000 | null | NONE | null | null | null | ## Describe the bug
Conversion of MNIST dataset to pytorch fails with bug
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("mnist", split="train")
dataset.set_format('torch')
dataset[0]
print()
```
## Expected results
Expect to see torch tensors image and label
## Actual results
Traceback (most recent call last):
File "C:\Program Files\JetBrains\PyCharm 2020.3.3\plugins\python\helpers\pydev\pydevd.py", line 1491, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
File "C:\Program Files\JetBrains\PyCharm 2020.3.3\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "C:/Users/chapm/PycharmProjects/multiviewdata/multiviewdata/huggingface/mnist.py", line 13, in <module>
dataset[0]
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\arrow_dataset.py", line 2154, in __getitem__
return self._getitem(
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\arrow_dataset.py", line 2139, in _getitem
formatted_output = format_table(
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\formatting\formatting.py", line 532, in format_table
return formatter(pa_table, query_type=query_type)
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\formatting\formatting.py", line 281, in __call__
return self.format_row(pa_table)
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\formatting\torch_formatter.py", line 58, in format_row
return self.recursive_tensorize(row)
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\formatting\torch_formatter.py", line 54, in recursive_tensorize
return map_nested(self._recursive_tensorize, data_struct, map_list=False)
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\utils\py_utils.py", line 356, in map_nested
mapped = [
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\utils\py_utils.py", line 357, in <listcomp>
_single_map_nested((function, obj, types, None, True, None))
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\utils\py_utils.py", line 309, in _single_map_nested
return {k: _single_map_nested((function, v, types, None, True, None)) for k, v in pbar}
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\utils\py_utils.py", line 309, in <dictcomp>
return {k: _single_map_nested((function, v, types, None, True, None)) for k, v in pbar}
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\utils\py_utils.py", line 293, in _single_map_nested
return function(data_struct)
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\formatting\torch_formatter.py", line 51, in _recursive_tensorize
return self._tensorize(data_struct)
File "C:\Users\chapm\PycharmProjects\multiviewdata\venv\lib\site-packages\datasets\formatting\torch_formatter.py", line 38, in _tensorize
if np.issubdtype(value.dtype, np.integer):
AttributeError: 'bytes' object has no attribute 'dtype'
python-BaseException
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.3.2
- Platform: Windows-10-10.0.22579-SP0
- Python version: 3.9.2
- PyArrow version: 8.0.0
- Pandas version: 1.4.1
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https://api.github.com/repos/huggingface/datasets/issues/4622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4622/comments | https://api.github.com/repos/huggingface/datasets/issues/4622/events | https://github.com/huggingface/datasets/pull/4622 | 1,293,031,939 | PR_kwDODunzps46ynmT | 4,622 | Fix ImageFolder with parameters drop_metadata=True and drop_labels=False (when metadata.jsonl is present) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq @mariosasko pls take a look at https://github.com/huggingface/datasets/pull/4622/commits/769e4c046a5bd5e3a4dbd09cfad1f4cf60677869. I modified `_generate_examples()` according to the same logic too: removed checking if `metad... | 1,656,933,800,000 | 1,657,895,843,000 | 1,657,895,064,000 | CONTRIBUTOR | null | false | {
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} | Will fix #4621
ImageFolder raises `KeyError: 'label'` with params `drop_metadata=True` and `drop_labels=False` (if there is at least one metadata.jsonl file a data directory). This happens because metadata files are collected inside `analyze()` function regardless of `drop_metadata` value. And then the following condition doesn't pass: https://github.com/huggingface/datasets/blob/master/src/datasets/packaged_modules/imagefolder/imagefolder.py#L167
So I suggest to double check it inside `analyze()` not to collect metadata files if they are not needed. (and labels too, to be consistent)
---
Also, I added a test to check if labels are inferred correctly from directories names in general (because we didn't have it) :) | {
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https://api.github.com/repos/huggingface/datasets/issues/4621 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4621/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4621/comments | https://api.github.com/repos/huggingface/datasets/issues/4621/events | https://github.com/huggingface/datasets/issues/4621 | 1,293,030,128 | I_kwDODunzps5NEhLw | 4,621 | ImageFolder raises an error with parameters drop_metadata=True and drop_labels=False when metadata.jsonl is present | {
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"followers_url": "... | null | [] | 1,656,933,704,000 | 1,657,895,064,000 | 1,657,895,064,000 | CONTRIBUTOR | null | null | null | ## Describe the bug
If you pass `drop_metadata=True` and `drop_labels=False` when a `data_dir` contains at least one `matadata.jsonl` file, you will get a KeyError. This is probably not a very useful case but we shouldn't get an error anyway. Asking users to move metadata files manually outside `data_dir` or pass features manually (when there is a tool that can infer them automatically) don't look like a good idea to me either.
## Steps to reproduce the bug
### Clone an example dataset from the Hub
```bash
git clone https://huggingface.co/datasets/nateraw/test-imagefolder-metadata
```
### Try to load it
```python
from datasets import load_dataset
ds = load_dataset("test-imagefolder-metadata", drop_metadata=True, drop_labels=False)
```
or even just
```python
ds = load_dataset("test-imagefolder-metadata", drop_metadata=True)
```
as `drop_labels=False` is a default value.
## Expected results
A DatasetDict object with two features: `"image"` and `"label"`.
## Actual results
```
Traceback (most recent call last):
File "/home/polina/workspace/datasets/debug.py", line 18, in <module>
ds = load_dataset(
File "/home/polina/workspace/datasets/src/datasets/load.py", line 1732, in load_dataset
builder_instance.download_and_prepare(
File "/home/polina/workspace/datasets/src/datasets/builder.py", line 704, in download_and_prepare
self._download_and_prepare(
File "/home/polina/workspace/datasets/src/datasets/builder.py", line 1227, in _download_and_prepare
super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos)
File "/home/polina/workspace/datasets/src/datasets/builder.py", line 793, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/home/polina/workspace/datasets/src/datasets/builder.py", line 1218, in _prepare_split
example = self.info.features.encode_example(record)
File "/home/polina/workspace/datasets/src/datasets/features/features.py", line 1596, in encode_example
return encode_nested_example(self, example)
File "/home/polina/workspace/datasets/src/datasets/features/features.py", line 1165, in encode_nested_example
{
File "/home/polina/workspace/datasets/src/datasets/features/features.py", line 1165, in <dictcomp>
{
File "/home/polina/workspace/datasets/src/datasets/utils/py_utils.py", line 249, in zip_dict
yield key, tuple(d[key] for d in dicts)
File "/home/polina/workspace/datasets/src/datasets/utils/py_utils.py", line 249, in <genexpr>
yield key, tuple(d[key] for d in dicts)
KeyError: 'label'
```
## Environment info
`datasets` master branch
- `datasets` version: 2.3.3.dev0
- Platform: Linux-5.14.0-1042-oem-x86_64-with-glibc2.17
- Python version: 3.8.12
- PyArrow version: 6.0.1
- Pandas version: 1.4.1
| {
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https://api.github.com/repos/huggingface/datasets/issues/4620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4620/comments | https://api.github.com/repos/huggingface/datasets/issues/4620/events | https://github.com/huggingface/datasets/issues/4620 | 1,292,797,878 | I_kwDODunzps5NDoe2 | 4,620 | Data type is not recognized when using datetime.time | {
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"cc @mariosasko ",
"Hi, thanks for reporting! I'm investigating the issue."
] | 1,656,922,418,000 | 1,657,202,231,000 | 1,657,202,231,000 | CONTRIBUTOR | null | null | null | ## Describe the bug
Creating a dataset from a pandas dataframe with `datetime.time` format generates an error.
## Steps to reproduce the bug
```python
import pandas as pd
from datetime import time
from datasets import Dataset
df = pd.DataFrame({"feature_name": [time(1, 1, 1)]})
dataset = Dataset.from_pandas(df)
```
## Expected results
The dataset should be created.
## Actual results
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 823, in from_pandas
return cls(table, info=info, split=split)
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 679, in __init__
inferred_features = Features.from_arrow_schema(arrow_table.schema)
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1551, in from_arrow_schema
obj = {field.name: generate_from_arrow_type(field.type) for field in pa_schema}
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1551, in <dictcomp>
obj = {field.name: generate_from_arrow_type(field.type) for field in pa_schema}
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1315, in generate_from_arrow_type
return Value(dtype=_arrow_to_datasets_dtype(pa_type))
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 83, in _arrow_to_datasets_dtype
return f"time64[{arrow_type.unit}]"
AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit'
```
## Environment info
- `datasets` version: 2.3.3.dev0
- Platform: Linux-5.13.0-1031-aws-x86_64-with-glibc2.31
- Python version: 3.9.6
- PyArrow version: 7.0.0
- Pandas version: 1.4.2 | {
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https://api.github.com/repos/huggingface/datasets/issues/4619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4619/comments | https://api.github.com/repos/huggingface/datasets/issues/4619/events | https://github.com/huggingface/datasets/issues/4619 | 1,292,107,275 | I_kwDODunzps5NA_4L | 4,619 | np arrays get turned into native lists | {
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] | open | false | null | [] | null | [
"If you add the line `dataset2.set_format('np')` before calling `dataset2[0]['tmp']` it should return `np.ndarray`.\r\nI believe internally it will not store it as a list, it is only returning a list when you index it.\r\n\r\n```\r\nIn [1]: import datasets, numpy as np\r\nIn [2]: dataset = datasets.load_dataset(\"g... | 1,656,784,497,000 | 1,656,880,027,000 | null | NONE | null | null | null | ## Describe the bug
When attaching an `np.array` field, it seems that it automatically gets turned into a list (see below). Why is this happening? Could it lose precision? Is there a way to make sure this doesn't happen?
## Steps to reproduce the bug
```python
>>> import datasets, numpy as np
>>> dataset = datasets.load_dataset("glue", "mrpc")["validation"]
Reusing dataset glue (...)
100%|███████████████████████████████████████████████| 3/3 [00:00<00:00, 1360.61it/s]
>>> dataset2 = dataset.map(lambda x: {"tmp": np.array([0.5])}, batched=False)
100%|██████████████████████████████████████████| 408/408 [00:00<00:00, 10819.97ex/s]
>>> dataset2[0]["tmp"]
[0.5]
>>> type(dataset2[0]["tmp"])
<class 'list'>
```
## Expected results
`dataset2[0]["tmp"]` should be an `np.ndarray`.
## Actual results
It's a list.
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.3.2
- Platform: mac, though I'm pretty sure it happens on a linux machine too
- Python version: 3.9.7
- PyArrow version: 6.0.1
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https://api.github.com/repos/huggingface/datasets/issues/4618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4618/comments | https://api.github.com/repos/huggingface/datasets/issues/4618/events | https://github.com/huggingface/datasets/issues/4618 | 1,292,078,225 | I_kwDODunzps5NA4yR | 4,618 | contribute data loading for object detection datasets with yolo data format | {
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"Hi! The `imagefolder` script is already quite complex, so a standalone script sounds better. Also, I suggest we create an org on the Hub (e.g. `hf-loaders`) and store such scripts there for easier maintenance rather than having them as packaged modules (IMO only very generic loaders should be packaged). WDYT @lhoe... | 1,656,775,319,000 | 1,658,412,644,000 | null | NONE | null | null | null | **Is your feature request related to a problem? Please describe.**
At the moment, HF datasets loads [image classification datasets](https://huggingface.co/docs/datasets/image_process) out-of-the-box. There could be a data loader for loading standard object detection datasets ([original discussion here](https://huggingface.co/datasets/jalFaizy/detect_chess_pieces/discussions/2))
**Describe the solution you'd like**
I wrote a [custom script](https://huggingface.co/datasets/jalFaizy/detect_chess_pieces/blob/main/detect_chess_pieces.py) to load dataset which has YOLO data format.
**Describe alternatives you've considered**
The script can either be a standalone dataset builder, or a modified version of `ImageFolder`
**Additional context**
I would be happy to contribute to this, but I would do it at a very slow pace (maybe a month or two) as I have my exams approaching 😄
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https://api.github.com/repos/huggingface/datasets/issues/4615 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4615/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4615/comments | https://api.github.com/repos/huggingface/datasets/issues/4615/events | https://github.com/huggingface/datasets/pull/4615 | 1,291,307,428 | PR_kwDODunzps46tADt | 4,615 | Fix `embed_storage` on features inside lists/sequences | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,656,676,328,000 | 1,657,282,390,000 | 1,657,281,696,000 | CONTRIBUTOR | null | false | {
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} | Add a dedicated function for embed_storage to always preserve the embedded/casted arrays (and to have more control over `embed_storage` in general).
Fix #4591
~~(Waiting for #4608 to be merged to mark this PR as ready for review - required for fixing `xgetsize` in private repos)~~ Done! | {
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https://api.github.com/repos/huggingface/datasets/issues/4614 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4614/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4614/comments | https://api.github.com/repos/huggingface/datasets/issues/4614/events | https://github.com/huggingface/datasets/pull/4614 | 1,291,218,020 | PR_kwDODunzps46ssfw | 4,614 | Ensure ConcatenationTable.cast uses target_schema metadata | {
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"Hi @lhoestq, Thanks for the detailed comment. I've tested the suggested approach and can confirm it works for the testcase outlined above! The PR is updated with the changes.",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,656,670,928,000 | 1,658,238,525,000 | 1,658,237,784,000 | CONTRIBUTOR | null | false | {
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} | Currently, `ConcatenationTable.cast` does not use target_schema metadata when casting subtables. This causes an issue when using cast_column and the underlying table is a ConcatenationTable.
Code example of where issue arrises:
```
from datasets import Dataset, Image
column1 = [0, 1]
image_paths = ['/images/image1.jpg', '/images/image2.jpg']
ds = Dataset.from_dict({"column1": column1})
ds = ds.add_column("image", image_paths)
ds.cast_column("image", Image()) # Fails here
```
Output
```
...
TypeError: Couldn't cast array of type
string
to
{'bytes': Value(dtype='binary', id=None), 'path': Value(dtype='string', id=None)}
```
| {
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https://api.github.com/repos/huggingface/datasets/issues/4613 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4613/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4613/comments | https://api.github.com/repos/huggingface/datasets/issues/4613/events | https://github.com/huggingface/datasets/pull/4613 | 1,291,181,193 | PR_kwDODunzps46skd6 | 4,613 | Align/fix license metadata info | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thank you thank you! Let's merge and pray? 😱 ",
"I just need to add `license_details` to the validator and yup we can merge"
] | 1,656,669,050,000 | 1,656,680,037,000 | 1,656,679,367,000 | MEMBER | null | false | {
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} | fix bad "other-*" licenses and add the corresponding "license_details" when relevant | {
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https://api.github.com/repos/huggingface/datasets/issues/4612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4612/comments | https://api.github.com/repos/huggingface/datasets/issues/4612/events | https://github.com/huggingface/datasets/issues/4612 | 1,290,984,660 | I_kwDODunzps5M8tzU | 4,612 | Release 2.3.0 broke custom iterable datasets | {
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] | closed | false | null | [] | null | [
"Apparently, `fsspec` does not allow access to attribute-based modules anymore, such as `fsspec.async`.\r\n\r\nHowever, this is a fairly simple fix:\r\n- Change the import to: `from fsspec import asyn`;\r\n- Change line 18 to: `asyn.iothread[0] = None`;\r\n- Change line 19 to `asyn.loop[0] = None`.",
"Hi! I think... | 1,656,657,967,000 | 1,657,033,701,000 | 1,657,033,701,000 | NONE | null | null | null | ## Describe the bug
Trying to iterate examples from custom iterable dataset fails to bug introduced in `torch_iterable_dataset.py` since the release of 2.3.0.
## Steps to reproduce the bug
```python
next(iter(custom_iterable_dataset))
```
## Expected results
`next(iter(custom_iterable_dataset))` should return examples from the dataset
## Actual results
```
/usr/local/lib/python3.7/dist-packages/datasets/formatting/dataset_wrappers/torch_iterable_dataset.py in _set_fsspec_for_multiprocess()
16 See https://github.com/fsspec/gcsfs/issues/379
17 """
---> 18 fsspec.asyn.iothread[0] = None
19 fsspec.asyn.loop[0] = None
20
AttributeError: module 'fsspec' has no attribute 'asyn'
```
## Environment info
- `datasets` version: 2.3.0
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- PyArrow version: 8.0.0
- Pandas version: 1.3.5
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https://api.github.com/repos/huggingface/datasets/issues/4611 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4611/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4611/comments | https://api.github.com/repos/huggingface/datasets/issues/4611/events | https://github.com/huggingface/datasets/pull/4611 | 1,290,940,874 | PR_kwDODunzps46rxIX | 4,611 | Preserve member order by MockDownloadManager.iter_archive | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,656,654,500,000 | 1,656,694,751,000 | 1,656,694,108,000 | MEMBER | null | false | {
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} | Currently, `MockDownloadManager.iter_archive` yields paths to archive members in an order given by `path.rglob("*")`, which migh not be the same order as in the original archive.
See issue in:
- https://github.com/huggingface/datasets/pull/4579#issuecomment-1172135027
This PR fixes the order of the members yielded by `MockDownloadManager.iter_archive` so that it is the same as in the original archive. | {
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https://api.github.com/repos/huggingface/datasets/issues/4610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4610/comments | https://api.github.com/repos/huggingface/datasets/issues/4610/events | https://github.com/huggingface/datasets/issues/4610 | 1,290,603,827 | I_kwDODunzps5M7Q0z | 4,610 | codeparrot/github-code failing to load | {
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"I believe the issue is in `codeparrot/github-code`. `base_path` param is missing - https://huggingface.co/datasets/codeparrot/github-code/blob/main/github-code.py#L169\r\n\r\nFunction definition has changed.\r\nhttps://github.com/huggingface/datasets/blob/0e1c629cfb9f9ba124537ba294a0ec451584da5f/src/datasets/data_... | 1,656,620,688,000 | 1,657,031,053,000 | 1,657,012,796,000 | NONE | null | null | null | ## Describe the bug
codeparrot/github-code fails to load with a `TypeError: get_patterns_in_dataset_repository() missing 1 required positional argument: 'base_path'`
## Steps to reproduce the bug
```python
from datasets import load_dataset
```
## Expected results
loaded dataset object
## Actual results
```python
[3]: dataset = load_dataset("codeparrot/github-code")
No config specified, defaulting to: github-code/all-all
Downloading and preparing dataset github-code/all-all to /home/bebr/.cache/huggingface/datasets/codeparrot___github-code/all-all/0.0.0/a55513bc0f81db773f9896c7aac225af0cff5b323bb9d2f68124f0a8cc3fb817...
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Input In [3], in <cell line: 1>()
----> 1 dataset = load_dataset("codeparrot/github-code")
File ~/miniconda3/envs/fastapi-kube/lib/python3.10/site-packages/datasets/load.py:1679, 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, **config_kwargs)
1676 try_from_hf_gcs = path not in _PACKAGED_DATASETS_MODULES
1678 # Download and prepare data
-> 1679 builder_instance.download_and_prepare(
1680 download_config=download_config,
1681 download_mode=download_mode,
1682 ignore_verifications=ignore_verifications,
1683 try_from_hf_gcs=try_from_hf_gcs,
1684 use_auth_token=use_auth_token,
1685 )
1687 # Build dataset for splits
1688 keep_in_memory = (
1689 keep_in_memory if keep_in_memory is not None else is_small_dataset(builder_instance.info.dataset_size)
1690 )
File ~/miniconda3/envs/fastapi-kube/lib/python3.10/site-packages/datasets/builder.py:704, in DatasetBuilder.download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs)
702 logger.warning("HF google storage unreachable. Downloading and preparing it from source")
703 if not downloaded_from_gcs:
--> 704 self._download_and_prepare(
705 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
706 )
707 # Sync info
708 self.info.dataset_size = sum(split.num_bytes for split in self.info.splits.values())
File ~/miniconda3/envs/fastapi-kube/lib/python3.10/site-packages/datasets/builder.py:1221, in GeneratorBasedBuilder._download_and_prepare(self, dl_manager, verify_infos)
1220 def _download_and_prepare(self, dl_manager, verify_infos):
-> 1221 super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos)
File ~/miniconda3/envs/fastapi-kube/lib/python3.10/site-packages/datasets/builder.py:771, in DatasetBuilder._download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
769 split_dict = SplitDict(dataset_name=self.name)
770 split_generators_kwargs = self._make_split_generators_kwargs(prepare_split_kwargs)
--> 771 split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
773 # Checksums verification
774 if verify_infos and dl_manager.record_checksums:
File ~/.cache/huggingface/modules/datasets_modules/datasets/codeparrot--github-code/a55513bc0f81db773f9896c7aac225af0cff5b323bb9d2f68124f0a8cc3fb817/github-code.py:169, in GithubCode._split_generators(self, dl_manager)
162 def _split_generators(self, dl_manager):
164 hfh_dataset_info = HfApi(datasets.config.HF_ENDPOINT).dataset_info(
165 _REPO_NAME,
166 timeout=100.0,
167 )
--> 169 patterns = datasets.data_files.get_patterns_in_dataset_repository(hfh_dataset_info)
170 data_files = datasets.data_files.DataFilesDict.from_hf_repo(
171 patterns,
172 dataset_info=hfh_dataset_info,
173 )
175 files = dl_manager.download_and_extract(data_files["train"])
TypeError: get_patterns_in_dataset_repository() missing 1 required positional argument: 'base_path'
```
## Environment info
- `datasets` version: 2.3.2
- Platform: Linux-5.18.7-arch1-1-x86_64-with-glibc2.35
- Python version: 3.10.5
- PyArrow version: 8.0.0
- Pandas version: 1.4.2 | {
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https://api.github.com/repos/huggingface/datasets/issues/4609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4609/comments | https://api.github.com/repos/huggingface/datasets/issues/4609/events | https://github.com/huggingface/datasets/issues/4609 | 1,290,392,083 | I_kwDODunzps5M6dIT | 4,609 | librispeech dataset has to download whole subset when specifing the split to use | {
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"Hi! You can use streaming to fetch only a subset of the data:\r\n```python\r\nraw_dataset = load_dataset(\"librispeech_asr\", \"clean\", split=\"train.100\", streaming=True)\r\n```\r\nAlso, we plan to make it possible to download a particular split in the non-streaming mode, but this task is not easy due to how ou... | 1,656,607,104,000 | 1,657,662,272,000 | 1,657,662,272,000 | NONE | null | null | null | ## Describe the bug
librispeech dataset has to download whole subset when specifing the split to use
## Steps to reproduce the bug
see below
# Sample code to reproduce the bug
```
!pip install datasets
from datasets import load_dataset
raw_dataset = load_dataset("librispeech_asr", "clean", split="train.100")
```
## Expected results
The split "train.clean.100" is downloaded.
## Actual results
All four splits in "clean" subset is downloaded.
## Environment info
- `datasets` version: 2.3.2
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- PyArrow version: 6.0.1
- Pandas version: 1.3.5
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https://api.github.com/repos/huggingface/datasets/issues/4608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4608/comments | https://api.github.com/repos/huggingface/datasets/issues/4608/events | https://github.com/huggingface/datasets/pull/4608 | 1,290,298,002 | PR_kwDODunzps46pm9A | 4,608 | Fix xisfile, xgetsize, xisdir, xlistdir in private repo | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Added tests for xisfile, xgetsize, xlistdir and xglob for private repos, and also tests for xwalk that was untested"
] | 1,656,602,601,000 | 1,657,111,559,000 | 1,657,110,859,000 | MEMBER | null | false | {
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} | `xisfile` is working in a private repository when passing a chained URL to a file inside an archive, e.g. `zip://a.txt::https://huggingface/datasets/username/dataset_name/resolve/main/data.zip`. However it's not working when passing a simple file `https://huggingface/datasets/username/dataset_name/resolve/main/data.zip`.
This is because the authentication headers are not passed correctly in this case.
This is causing dataset streaming to fail in private parquet repositories, as noted in https://github.com/huggingface/datasets/issues/4605
I fixed `xisfile` and the other functions that behave the same way: xgetsize, xisdir and xlistdir
TODO:
- [x] tests
fix https://github.com/huggingface/datasets/issues/4605 | {
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https://api.github.com/repos/huggingface/datasets/issues/4607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4607/comments | https://api.github.com/repos/huggingface/datasets/issues/4607/events | https://github.com/huggingface/datasets/pull/4607 | 1,290,171,941 | PR_kwDODunzps46pLnd | 4,607 | Align more metadata with other repo types (models,spaces) | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I just set a default value (None) for the deprecated licenses and languages fields, which should fix most of the CI failures.\r\n\r\nNote that the CI should still be red because you edited many dataset cards and they're still missing... | 1,656,597,132,000 | 1,656,676,837,000 | 1,656,676,154,000 | MEMBER | null | false | {
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} | see also associated PR on the `datasets-tagging` Space: https://huggingface.co/spaces/huggingface/datasets-tagging/discussions/2 (to merge after this one is merged) | {
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https://api.github.com/repos/huggingface/datasets/issues/4606 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4606/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4606/comments | https://api.github.com/repos/huggingface/datasets/issues/4606/events | https://github.com/huggingface/datasets/issues/4606 | 1,290,083,534 | I_kwDODunzps5M5RzO | 4,606 | evaluation result changes after `datasets` version change | {
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"Hi! The GH/no-namespace datasets versioning is synced with the version of the `datasets` lib, which means that the `wikiann` script was modified between the two compared versions. In this scenario, you can ensure reproducibility by pinning the script version, which is done by passing `revision=\"x.y.z\"` (e.g. `re... | 1,656,593,006,000 | 1,656,956,852,000 | null | NONE | null | null | null | ## Describe the bug
evaluation result changes after `datasets` version change
## Steps to reproduce the bug
1. Train a model on WikiAnn
2. reload the ckpt -> test accuracy becomes same as eval accuracy
3. such behavior is gone after downgrading `datasets`
https://colab.research.google.com/drive/1kYz7-aZRGdayaq-gDTt30tyEgsKlpYOw?usp=sharing
## Expected results
evaluation result shouldn't change before/after `datasets` version changes
## Actual results
evaluation result changes before/after `datasets` version changes
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.3.2
- Platform: colab
- Python version: 3.7.13
- PyArrow version: 6.0.1
Q. How could the evaluation result change before/after `datasets` version changes? | {
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https://api.github.com/repos/huggingface/datasets/issues/4605 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4605/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4605/comments | https://api.github.com/repos/huggingface/datasets/issues/4605/events | https://github.com/huggingface/datasets/issues/4605 | 1,290,058,970 | I_kwDODunzps5M5Lza | 4,605 | Dataset Viewer issue for boris/gis_filtered | {
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"Yes, this dataset is \"gated\": you first have to go to https://huggingface.co/datasets/boris/gis_filtered and click \"Access repository\" (if you accept to share your contact information with the repository authors).",
"I already did that, it returns error when using streaming",
"Oh, sorry, I misread. Looking... | 1,656,591,814,000 | 1,657,110,859,000 | 1,657,110,859,000 | NONE | null | null | null | ### Link
https://huggingface.co/datasets/boris/gis_filtered/viewer/boris--gis_filtered/train
### Description
When I try to access this from the website I get this error:
Status code: 400
Exception: ClientResponseError
Message: 401, message='Unauthorized', url=URL('https://huggingface.co/datasets/boris/gis_filtered/resolve/80b805053ce61d4eb487b6b8d9095d775c2c466e/data/train/0000.parquet')
If I try to load with code I also get the same issue:
```python
dataset2_train=load_dataset("boris/gis_filtered", use_auth_token=os.environ["HF_TOKEN"],split="train",streaming=True)
dataset2_validation=load_dataset("boris/gis_filtered", use_auth_token=os.environ["HF_TOKEN"], split="validation",streaming=True)
```
### Owner
No | {
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https://api.github.com/repos/huggingface/datasets/issues/4604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4604/comments | https://api.github.com/repos/huggingface/datasets/issues/4604/events | https://github.com/huggingface/datasets/pull/4604 | 1,289,963,962 | PR_kwDODunzps46oeju | 4,604 | Update CI Windows orb | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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} | This PR tries to fix recurrent random CI failures on Windows.
After 2 runs, it seems to have fixed the issue.
Fix #4603. | {
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The windows CI is currently flaky: some dependencies like `aiobotocore`, `multiprocess` and `seqeval` sometimes fail to install.
In particular it seems that building the wheels fail. Here is an example of logs:
```
Building wheel for seqeval (setup.py): started
Running command 'C:\tools\miniconda3\envs\py37\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\circleci\\AppData\\Local\\Temp\\pip-install-h55pfgbv\\seqeval_d6cdb9d23ff6490b98b6c4bcaecb516e\\setup.py'"'"'; __file__='"'"'C:\\Users\\circleci\\AppData\\Local\\Temp\\pip-install-h55pfgbv\\seqeval_d6cdb9d23ff6490b98b6c4bcaecb516e\\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\circleci\AppData\Local\Temp\pip-wheel-x3cc8ym6'
No parent package detected, impossible to derive `name`
running bdist_wheel
running build
running build_py
package init file 'seqeval\__init__.py' not found (or not a regular file)
package init file 'seqeval\metrics\__init__.py' not found (or not a regular file)
C:\tools\miniconda3\envs\py37\lib\site-packages\setuptools\command\install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
setuptools.SetuptoolsDeprecationWarning,
installing to build\bdist.win-amd64\wheel
running install
running install_lib
warning: install_lib: 'build\lib' does not exist -- no Python modules to install
running install_egg_info
running egg_info
creating UNKNOWN.egg-info
writing UNKNOWN.egg-info\PKG-INFO
writing dependency_links to UNKNOWN.egg-info\dependency_links.txt
writing top-level names to UNKNOWN.egg-info\top_level.txt
writing manifest file 'UNKNOWN.egg-info\SOURCES.txt'
reading manifest file 'UNKNOWN.egg-info\SOURCES.txt'
writing manifest file 'UNKNOWN.egg-info\SOURCES.txt'
Copying UNKNOWN.egg-info to build\bdist.win-amd64\wheel\.\UNKNOWN-0.0.0-py3.7.egg-info
running install_scripts
creating build\bdist.win-amd64\wheel\UNKNOWN-0.0.0.dist-info\WHEEL
creating 'C:\Users\circleci\AppData\Local\Temp\pip-wheel-x3cc8ym6\UNKNOWN-0.0.0-py3-none-any.whl' and adding 'build\bdist.win-amd64\wheel' to it
adding 'UNKNOWN-0.0.0.dist-info/METADATA'
adding 'UNKNOWN-0.0.0.dist-info/WHEEL'
adding 'UNKNOWN-0.0.0.dist-info/top_level.txt'
adding 'UNKNOWN-0.0.0.dist-info/RECORD'
removing build\bdist.win-amd64\wheel
Building wheel for seqeval (setup.py): finished with status 'done'
Created wheel for seqeval: filename=UNKNOWN-0.0.0-py3-none-any.whl size=963 sha256=67eb93a6e1ff4796c5882a13f9fa25bb0d3d103796e2525f9cecf3b2ef26d4b1
Stored in directory: c:\users\circleci\appdata\local\pip\cache\wheels\05\96\ee\7cac4e74f3b19e3158dce26a20a1c86b3533c43ec72a549fd7
WARNING: Built wheel for seqeval is invalid: Wheel has unexpected file name: expected 'seqeval', got 'UNKNOWN'
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/4602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4602/comments | https://api.github.com/repos/huggingface/datasets/issues/4602/events | https://github.com/huggingface/datasets/pull/4602 | 1,289,950,379 | PR_kwDODunzps46obqi | 4,602 | Upgrade setuptools in windows CI | {
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In particular it seems that building the wheels fail. Here is an example of logs
```
Building wheel for seqeval (setup.py): started
Running command 'C:\tools\miniconda3\envs\py37\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\circleci\\AppData\\Local\\Temp\\pip-install-h55pfgbv\\seqeval_d6cdb9d23ff6490b98b6c4bcaecb516e\\setup.py'"'"'; __file__='"'"'C:\\Users\\circleci\\AppData\\Local\\Temp\\pip-install-h55pfgbv\\seqeval_d6cdb9d23ff6490b98b6c4bcaecb516e\\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\circleci\AppData\Local\Temp\pip-wheel-x3cc8ym6'
No parent package detected, impossible to derive `name`
running bdist_wheel
running build
running build_py
package init file 'seqeval\__init__.py' not found (or not a regular file)
package init file 'seqeval\metrics\__init__.py' not found (or not a regular file)
C:\tools\miniconda3\envs\py37\lib\site-packages\setuptools\command\install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
setuptools.SetuptoolsDeprecationWarning,
installing to build\bdist.win-amd64\wheel
running install
running install_lib
warning: install_lib: 'build\lib' does not exist -- no Python modules to install
running install_egg_info
running egg_info
creating UNKNOWN.egg-info
writing UNKNOWN.egg-info\PKG-INFO
writing dependency_links to UNKNOWN.egg-info\dependency_links.txt
writing top-level names to UNKNOWN.egg-info\top_level.txt
writing manifest file 'UNKNOWN.egg-info\SOURCES.txt'
reading manifest file 'UNKNOWN.egg-info\SOURCES.txt'
writing manifest file 'UNKNOWN.egg-info\SOURCES.txt'
Copying UNKNOWN.egg-info to build\bdist.win-amd64\wheel\.\UNKNOWN-0.0.0-py3.7.egg-info
running install_scripts
creating build\bdist.win-amd64\wheel\UNKNOWN-0.0.0.dist-info\WHEEL
creating 'C:\Users\circleci\AppData\Local\Temp\pip-wheel-x3cc8ym6\UNKNOWN-0.0.0-py3-none-any.whl' and adding 'build\bdist.win-amd64\wheel' to it
adding 'UNKNOWN-0.0.0.dist-info/METADATA'
adding 'UNKNOWN-0.0.0.dist-info/WHEEL'
adding 'UNKNOWN-0.0.0.dist-info/top_level.txt'
adding 'UNKNOWN-0.0.0.dist-info/RECORD'
removing build\bdist.win-amd64\wheel
Building wheel for seqeval (setup.py): finished with status 'done'
Created wheel for seqeval: filename=UNKNOWN-0.0.0-py3-none-any.whl size=963 sha256=67eb93a6e1ff4796c5882a13f9fa25bb0d3d103796e2525f9cecf3b2ef26d4b1
Stored in directory: c:\users\circleci\appdata\local\pip\cache\wheels\05\96\ee\7cac4e74f3b19e3158dce26a20a1c86b3533c43ec72a549fd7
WARNING: Built wheel for seqeval is invalid: Wheel has unexpected file name: expected 'seqeval', got 'UNKNOWN'
```
hopefully this fixes the issue
| {
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https://api.github.com/repos/huggingface/datasets/issues/4601 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4601/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4601/comments | https://api.github.com/repos/huggingface/datasets/issues/4601/events | https://github.com/huggingface/datasets/pull/4601 | 1,289,924,715 | PR_kwDODunzps46oWF8 | 4,601 | Upgrade pip in WIN CI | {
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In particular it seems that building the wheels fail. Here is an example of logs
```
Building wheel for seqeval (setup.py): started
Running command 'C:\tools\miniconda3\envs\py37\python.exe' -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'C:\\Users\\circleci\\AppData\\Local\\Temp\\pip-install-h55pfgbv\\seqeval_d6cdb9d23ff6490b98b6c4bcaecb516e\\setup.py'"'"'; __file__='"'"'C:\\Users\\circleci\\AppData\\Local\\Temp\\pip-install-h55pfgbv\\seqeval_d6cdb9d23ff6490b98b6c4bcaecb516e\\setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d 'C:\Users\circleci\AppData\Local\Temp\pip-wheel-x3cc8ym6'
No parent package detected, impossible to derive `name`
running bdist_wheel
running build
running build_py
package init file 'seqeval\__init__.py' not found (or not a regular file)
package init file 'seqeval\metrics\__init__.py' not found (or not a regular file)
C:\tools\miniconda3\envs\py37\lib\site-packages\setuptools\command\install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
setuptools.SetuptoolsDeprecationWarning,
installing to build\bdist.win-amd64\wheel
running install
running install_lib
warning: install_lib: 'build\lib' does not exist -- no Python modules to install
running install_egg_info
running egg_info
creating UNKNOWN.egg-info
writing UNKNOWN.egg-info\PKG-INFO
writing dependency_links to UNKNOWN.egg-info\dependency_links.txt
writing top-level names to UNKNOWN.egg-info\top_level.txt
writing manifest file 'UNKNOWN.egg-info\SOURCES.txt'
reading manifest file 'UNKNOWN.egg-info\SOURCES.txt'
writing manifest file 'UNKNOWN.egg-info\SOURCES.txt'
Copying UNKNOWN.egg-info to build\bdist.win-amd64\wheel\.\UNKNOWN-0.0.0-py3.7.egg-info
running install_scripts
creating build\bdist.win-amd64\wheel\UNKNOWN-0.0.0.dist-info\WHEEL
creating 'C:\Users\circleci\AppData\Local\Temp\pip-wheel-x3cc8ym6\UNKNOWN-0.0.0-py3-none-any.whl' and adding 'build\bdist.win-amd64\wheel' to it
adding 'UNKNOWN-0.0.0.dist-info/METADATA'
adding 'UNKNOWN-0.0.0.dist-info/WHEEL'
adding 'UNKNOWN-0.0.0.dist-info/top_level.txt'
adding 'UNKNOWN-0.0.0.dist-info/RECORD'
removing build\bdist.win-amd64\wheel
Building wheel for seqeval (setup.py): finished with status 'done'
Created wheel for seqeval: filename=UNKNOWN-0.0.0-py3-none-any.whl size=963 sha256=67eb93a6e1ff4796c5882a13f9fa25bb0d3d103796e2525f9cecf3b2ef26d4b1
Stored in directory: c:\users\circleci\appdata\local\pip\cache\wheels\05\96\ee\7cac4e74f3b19e3158dce26a20a1c86b3533c43ec72a549fd7
WARNING: Built wheel for seqeval is invalid: Wheel has unexpected file name: expected 'seqeval', got 'UNKNOWN'
```
I tried to update pip and re-run the CI several times and I couldn't re-experience this issue for now, so I think upgrading pip may solve the issue | {
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https://api.github.com/repos/huggingface/datasets/issues/4600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4600/comments | https://api.github.com/repos/huggingface/datasets/issues/4600/events | https://github.com/huggingface/datasets/pull/4600 | 1,289,177,042 | PR_kwDODunzps46l3P1 | 4,600 | Remove multiple config section | {
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} | This PR removes docs for a future feature and redirects to #4578 instead. See this [discussion](https://huggingface.slack.com/archives/C034N0A7H09/p1656107063801969) for more details :) | {
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https://api.github.com/repos/huggingface/datasets/issues/4599 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4599/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4599/comments | https://api.github.com/repos/huggingface/datasets/issues/4599/events | https://github.com/huggingface/datasets/pull/4599 | 1,288,849,933 | PR_kwDODunzps46kvfC | 4,599 | Smooth-BLEU bug fixed | {
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} | Hi,
the current implementation of smooth-BLEU contains a bug: it smoothes unigrams as well. Consequently, when both the reference and translation consist of totally different tokens, it anyway returns a non-zero value (please see the attached image).
This however contradicts the source paper suggesting the smooth-BLEU _(Chin-Yew Lin, Franz Josef Och. ORANGE: a method for evaluating automatic evaluation metrics for machine translation. COLING 2004.)_ :
> Add one count to the n-gram hit and total ngram count for n > 1. Therefore, for candidate translations with less than n words, they can still get a positive smoothed BLEU score from shorter n-gram matches; however if nothing matches then they will get zero scores.
This pull request aims at fixing this bug.
I made a pull request in the target repository `tensorflow/nmt`, which implements this script, yet the last commit there is dating 19.02.2019 and I doubt whether this will be fixed promptly. Yet, this bug is critical, for instance for summarization datasets with short summaries (e.g. AESLC), since smoothing needs to be applied there. Therefore, the easiest solution that I found is to fork the repo and download this script directly from the forked fixed repo.
Kind,
Akim Tsvigun
<img width="516" alt="Снимок экрана 2022-06-29 в 17 49 27" src="https://user-images.githubusercontent.com/36672861/176466935-ac579e6d-6a93-4111-ab41-9b33056e7d47.png">
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Fix #4597. | {
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https://api.github.com/repos/huggingface/datasets/issues/4597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4597/comments | https://api.github.com/repos/huggingface/datasets/issues/4597/events | https://github.com/huggingface/datasets/issues/4597 | 1,288,672,007 | I_kwDODunzps5Mz5MH | 4,597 | Streaming issue for financial_phrasebank | {
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"cc @huggingface/datasets: it seems like https://www.researchgate.net/ is flaky for datasets hosting (I put the \"hosted-on-google-drive\" tag since it's the same kind of issue I think)",
"Let's see if their license allows hosting their data on the Hub.",
"License is Creative Commons Attribution-NonCommercial-S... | 1,656,506,743,000 | 1,656,667,776,000 | 1,656,667,776,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/financial_phrasebank/viewer/sentences_allagree/train
### Description
As reported by a community member using [AutoTrain Evaluate](https://huggingface.co/spaces/autoevaluate/model-evaluator/discussions/5#62bc217436d0e5d316a768f0), there seems to be a problem streaming this dataset:
```
Server error
Status code: 400
Exception: Exception
Message: Give up after 5 attempts with ConnectionError
```
### Owner
No | {
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https://api.github.com/repos/huggingface/datasets/issues/4596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4596/comments | https://api.github.com/repos/huggingface/datasets/issues/4596/events | https://github.com/huggingface/datasets/issues/4596 | 1,288,381,735 | I_kwDODunzps5MyyUn | 4,596 | Dataset Viewer issue for universal_dependencies | {
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"Thanks, looking at it!"
] | 1,656,492,629,000 | 1,656,493,188,000 | null | NONE | null | null | null | ### Link
https://huggingface.co/datasets/universal_dependencies
### Description
invalid json response body at https://datasets-server.huggingface.co/splits?dataset=universal_dependencies reason: Unexpected token I in JSON at position 0
### Owner
_No response_ | {
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https://api.github.com/repos/huggingface/datasets/issues/4595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4595/comments | https://api.github.com/repos/huggingface/datasets/issues/4595/events | https://github.com/huggingface/datasets/issues/4595 | 1,288,275,976 | I_kwDODunzps5MyYgI | 4,595 | Dataset Viewer issue with False positive PII redaction | {
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"The value is in the data, it's not an issue with the \"dataset-viewer\".\r\n\r\n<img width=\"1161\" alt=\"Capture d’écran 2022-06-29 à 10 25 51\" src=\"https://user-images.githubusercontent.com/1676121/176389325-4d2a9a7f-1583-45b8-aa7a-960ffaa6a36a.png\">\r\n\r\n Maybe open a PR: https://huggingface.co/datasets/... | 1,656,486,957,000 | 1,656,491,381,000 | 1,656,491,269,000 | CONTRIBUTOR | null | null | null | ### Link
https://huggingface.co/datasets/cakiki/rosetta-code
### Description
Hello, I just noticed an entry being redacted that shouldn't have been:
`RootMeanSquare@Range[10]` is being displayed as `[email protected][10]`
### Owner
_No response_ | {
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https://api.github.com/repos/huggingface/datasets/issues/4593 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4593/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4593/comments | https://api.github.com/repos/huggingface/datasets/issues/4593/events | https://github.com/huggingface/datasets/pull/4593 | 1,288,067,699 | PR_kwDODunzps46iIkn | 4,593 | Fix error message when using load_from_disk to load DatasetDict | {
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} | Issue #4594
Issue: When `datasets.load_from_disk` is wrongly used to load a `DatasetDict`, the error message suggests using `datasets.load_from_disk`, which is the same function that generated the error.
Fix: The appropriate function which should be suggested instead is `datasets.dataset_dict.load_from_disk`.
Changes: Change the suggestion to say "Please use `datasets.dataset_dict.load_from_disk` instead." | {
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"Hi @faizankshaikh\r\n\r\nPlease note that we have recently launched the Community feature, specifically targeted to create Discussions (about issues/questions/asking-for-help) on each Dataset on the Hub:\r\n- Blog post: https://huggingface.co/blog/community-update\r\n- Docs: https://huggingface.co/docs/hub/reposit... | 1,656,461,754,000 | 1,656,498,603,000 | 1,656,488,967,000 | NONE | null | null | null | ### Link
https://huggingface.co/datasets/jalFaizy/detect_chess_pieces
### Description
I am trying to write a appropriate data loader for [a custom dataset](https://huggingface.co/datasets/jalFaizy/detect_chess_pieces) using [this script](https://huggingface.co/datasets/jalFaizy/detect_chess_pieces/blob/main/detect_chess_pieces.py)
When I run the command
`$ datasets-cli test "D:\workspace\HF\detect_chess_pieces" --save_infos --all_configs`
It gives the following error
```
Using custom data configuration default
Traceback (most recent call last):
File "c:\users\faiza\anaconda3\lib\runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "c:\users\faiza\anaconda3\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "C:\Users\faiza\anaconda3\Scripts\datasets-cli.exe\__main__.py", line 7, in <module>
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\commands\datasets_cli.py", line 39, in main
service.run()
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\commands\test.py", line 132, in run
for j, builder in enumerate(get_builders()):
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\commands\test.py", line 125, in get_builders
yield builder_cls(
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\builder.py", line 1148, in __init__
super().__init__(*args, **kwargs)
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\builder.py", line 306, in __init__
info = self.get_exported_dataset_info()
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\builder.py", line 405, in get_exported_dataset_info
return self.get_all_exported_dataset_infos().get(self.config.name, DatasetInfo())
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\builder.py", line 390, in get_all_exported_dataset_infos
return DatasetInfosDict.from_directory(cls.get_imported_module_dir())
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\info.py", line 309, in from_directory
dataset_infos_dict = {
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\info.py", line 310, in <dictcomp>
config_name: DatasetInfo.from_dict(dataset_info_dict)
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\info.py", line 272, in from_dict
return cls(**{k: v for k, v in dataset_info_dict.items() if k in field_names})
File "<string>", line 20, in __init__
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\info.py", line 160, in __post_init__
templates = [
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\info.py", line 161, in <listcomp>
template if isinstance(template, TaskTemplate) else task_template_from_dict(template)
File "c:\users\faiza\anaconda3\lib\site-packages\datasets\tasks\__init__.py", line 43, in task_template_from_dict
return template.from_dict(task_template_dict)
AttributeError: 'NoneType' object has no attribute 'from_dict'
```
My assumption is that there is some kind of issue in how the "task_templates" are read, because even if I keep them as None, or not include the argument at all, the same error occurs
### Owner
Yes | {
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"Hi, thanks for reporting! This issue stems from the changes introduced in https://github.com/huggingface/datasets/pull/4282 (cc @lhoestq), in which list casts are ignored if they don't change the list type (required to preserve `null` values). And `push_to_hub` does a special cast to embed external image files but... | 1,656,460,883,000 | 1,657,281,696,000 | 1,657,281,695,000 | CONTRIBUTOR | null | null | null | ## Describe the bug
If I create a dataset including an 'Image' feature manually, when pushing to hub decoded images are not pushed,
instead it looks for image where image local path is/used to be.
This doesn't (at least didn't used to) happen with imagefolder. I want to build dataset manually because it is complicated.
This happens even though the dataset is looking like decoded images:

and I use `embed_external_files=True` while `push_to_hub` (same with false)
## Steps to reproduce the bug
```python
from PIL import Image
from datasets import Image as ImageFeature
from datasets import Features,Dataset
#manually create dataset
feats=Features(
{
"images": [ImageFeature()], #same even if explicitly ImageFeature(decode=True)
"input_image": ImageFeature(),
}
)
test_data={"images":[[Image.open("test.jpg"),Image.open("test.jpg"),Image.open("test.jpg")]], "input_image":[Image.open("test.jpg")]}
test_dataset=Dataset.from_dict(test_data,features=feats)
print(test_dataset)
test_dataset.push_to_hub("ceyda/image_test_public",private=False,token="",embed_external_files=True)
# clear cache rm -r ~/.cache/huggingface
# remove "test.jpg" # remove to see that it is looking for image on the local path
test_dataset=load_dataset("ceyda/image_test_public",use_auth_token="")
print(test_dataset)
print(test_dataset['train'][0])
```
## Expected results
should be able to push image bytes if dataset has `Image(decode=True)`
## Actual results
errors because it is trying to decode file from the non existing local path.
```
----> print(test_dataset['train'][0])
File ~/.local/lib/python3.8/site-packages/datasets/arrow_dataset.py:2154, in Dataset.__getitem__(self, key)
2152 def __getitem__(self, key): # noqa: F811
2153 """Can be used to index columns (by string names) or rows (by integer index or iterable of indices or bools)."""
-> 2154 return self._getitem(
2155 key,
2156 )
File ~/.local/lib/python3.8/site-packages/datasets/arrow_dataset.py:2139, in Dataset._getitem(self, key, decoded, **kwargs)
2137 formatter = get_formatter(format_type, features=self.features, decoded=decoded, **format_kwargs)
2138 pa_subtable = query_table(self._data, key, indices=self._indices if self._indices is not None else None)
-> 2139 formatted_output = format_table(
2140 pa_subtable, key, formatter=formatter, format_columns=format_columns, output_all_columns=output_all_columns
2141 )
2142 return formatted_output
File ~/.local/lib/python3.8/site-packages/datasets/formatting/formatting.py:532, in format_table(table, key, formatter, format_columns, output_all_columns)
530 python_formatter = PythonFormatter(features=None)
531 if format_columns is None:
...
-> 3068 fp = builtins.open(filename, "rb")
3069 exclusive_fp = True
3071 try:
FileNotFoundError: [Errno 2] No such file or directory: 'test.jpg'
```
## Environment info
- `datasets` version: 2.3.2
- Platform: Linux-5.4.0-1074-azure-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyArrow version: 8.0.0
- Pandas version: 1.4.2
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"_The documentation is not available anymore as the PR was closed or merged._",
"@albertvillanova, Can you please review this PR for Issue #4540 ",
"@lhoestq Thank you for merging the PR . Is there a slack channel for contributing to the datasets library. I would love to work on the library and make meaningfu... | 1,656,452,886,000 | 1,657,292,113,000 | 1,657,199,865,000 | CONTRIBUTOR | null | false | {
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} | # What does this PR do?
## Summary
*In function `_copy_script_and_other_resources_in_importable_dir`, using string split when generating `meta_path` throws error in the edge case raised in #4540.*
## Additions
-
## Changes
- Changed meta_path to use `os.path.splitext` instead of using `str.split` to generalize code.
## Deletions
-
## Issues Addressed :
Fixes #4540 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi @albertvillanova ! Thanks for the fix ;)\r\nCan I safely checkout from this branch to build `datasets` or it is preferable to wait until all CI tests pass?\r\nThanks 🙏 ",
"@younesbelkada we have just merged this PR."
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- Hosts head_qa data on the Hub instead of Google Drive
- Fixes NonMatchingChecksumError
Fix https://huggingface.co/datasets/head_qa/discussions/1 | {
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However the fingerprint is used to name cache files so we need to make sure it doesn't contain bad characters as mentioned in https://github.com/huggingface/datasets/issues/1718, and that it's not too long | {
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} | Host data files of multi_news dataset on the Hub.
They were on Google Drive.
Fix #4580. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4584). All of your documentation changes will be reflected on that endpoint.",
"> Awesome thanks ! Can you add it to https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts first please ? This is where ... | 1,656,401,439,000 | 1,657,120,794,000 | null | MEMBER | null | false | {
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} | As a precursor to aligning the task IDs in `datasets` and AutoTrain, we need a way to distinguish binary vs multiclass vs multilabel classification.
This PR adds binary classification to the task IDs to enable this.
Related AutoTrain issue: https://github.com/huggingface/autonlp-backend/issues/597
cc @abhishekkrthakur @SBrandeis | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4582). All of your documentation changes will be reflected on that endpoint."
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doing `.add_column("x",x_data)` also removed any `_indexes` on the dataset, decided this shouldn't be the case.
This was because `add_column` was creating a new `Dataset(...)` and wasn't possible to pass indexes on init.
with this PR now can pass 'indexes' on init through `IndexableMixin`
- [x] Added test | {
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"linked to https://github.com/huggingface/datasets/issues/4580#issuecomment-1168373066?",
"Note that I refreshed twice this dataset, and I still have (another) error on one of the splits\r\n\r\n```\r\nStatus code: 400\r\nException: ClientResponseError\r\nMessage: 403, message='Forbidden', url=URL('htt... | 1,656,363,372,000 | 1,656,427,323,000 | 1,656,427,323,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/pn_summary/viewer/1.0.0/validation
### Description
Getting an index error on the `validation` and `test` splits:
```
Server error
Status code: 400
Exception: IndexError
Message: list index out of range
```
### Owner
No | {
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"Thanks for reporting, @lewtun.\r\n\r\nI forced the refreshing of the preview and it worked OK for train and validation splits.\r\n\r\nI guess the error has to do with the data files being hosted at Google Drive: this gives errors when requested automatically using scripts.\r\nWe should host them to fix the error. ... | 1,656,361,525,000 | 1,656,425,328,000 | 1,656,425,328,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/multi_news
### Description
Not sure what the index error is referring to here:
```
Status code: 400
Exception: IndexError
Message: list index out of range
```
### Owner
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq I've been refactoring a little the code:\r\n- Use less RAM by loading only the required samples: only if its index is in the splits file\r\n- Start yielding \"earlier\" in streaming mode: for each `split_idx`:\r\n - either ... | 1,656,349,883,000 | 1,656,963,301,000 | 1,656,962,637,000 | MEMBER | null | false | {
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] | open | false | null | [] | null | [] | 1,656,348,911,000 | 1,656,348,919,000 | null | MEMBER | null | null | null | Currently to define several subsets/configurations of your dataset, you need to use a dataset script.
However it would be nice to have a no-code way to to this.
For example we could specify different configurations of a dataset (for example, if a dataset contains different languages) with one directory per configuration.
These structures are not supported right now, but would be nice to have:
```
my_dataset_repository/
├── README.md
├── en/
│ ├── train.csv
│ └── test.csv
└── fr/
├── train.csv
└── test.csv
```
Or with one directory per split:
```
my_dataset_repository/
├── README.md
├── en/
│ ├── train/
│ │ ├── shard_0.csv
│ │ └── shard_1.csv
│ └── test/
│ ├── shard_0.csv
│ └── shard_1.csv
└── fr/
├── train/
│ ├── shard_0.csv
│ └── shard_1.csv
└── test/
├── shard_0.csv
└── shard_1.csv
```
cc @stevhliu @albertvillanova | {
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https://api.github.com/repos/huggingface/datasets/issues/4577 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4577/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4577/comments | https://api.github.com/repos/huggingface/datasets/issues/4577/events | https://github.com/huggingface/datasets/pull/4577 | 1,285,703,775 | PR_kwDODunzps46aTWL | 4,577 | Add authentication tip to `load_dataset` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,656,331,534,000 | 1,656,940,395,000 | 1,656,939,690,000 | CONTRIBUTOR | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/4576 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4576/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4576/comments | https://api.github.com/repos/huggingface/datasets/issues/4576/events | https://github.com/huggingface/datasets/pull/4576 | 1,285,698,576 | PR_kwDODunzps46aSN_ | 4,576 | Include `metadata.jsonl` in resolved data files | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I still don't know if the way we implemented data files resolution could support the metadata.jsonl file without bad side effects for the other packaged builders. In particular here if you have a folder of csv/parquet/whatever files ... | 1,656,331,289,000 | 1,656,679,495,000 | 1,656,584,132,000 | CONTRIBUTOR | null | false | {
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} | Include `metadata.jsonl` in resolved data files.
Fix #4548
@lhoestq ~~https://github.com/huggingface/datasets/commit/d94336d30eef17fc9abc67f67fa1c139661f4e75 adds support for metadata files placed at the root, and https://github.com/huggingface/datasets/commit/4d20618ea7a19bc143ddc5fdff9d79e671fcbb95 accounts for nested metadata files also, but this results in more complex code. Let me know which one of these two approaches you prefer.~~ Maybe https://github.com/huggingface/datasets/commit/d94336d30eef17fc9abc67f67fa1c139661f4e75 is good enough for now (for the sake of simplicity). https://github.com/huggingface/datasets/commit/4d20618ea7a19bc143ddc5fdff9d79e671fcbb95 breaks the imagefolder tests due to duplicates in the resolved metadata files. One way to fix this would be to resolve the metadata pattern only on parent directories, but this adds even more logic to `_get_data_files_patterns`, so not sure if this is what we should do. | {
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https://api.github.com/repos/huggingface/datasets/issues/4575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4575/comments | https://api.github.com/repos/huggingface/datasets/issues/4575/events | https://github.com/huggingface/datasets/issues/4575 | 1,285,446,700 | I_kwDODunzps5Mnlws | 4,575 | Problem about wmt17 zh-en dataset | {
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"Running into the same error with `wmt17/zh-en`, `wmt18/zh-en` and `wmt19/zh-en`."
] | 1,656,318,942,000 | 1,656,527,559,000 | null | NONE | null | null | null | It seems that in subset casia2015, some samples are like `{'c[hn]':'xxx', 'en': 'aa'}`.
So when using `data = load_dataset('wmt17', "zh-en")` to load the wmt17 zh-en dataset, which will raise the exception:
```
Traceback (most recent call last):
File "train.py", line 78, in <module>
data = load_dataset(args.dataset, "zh-en")
File "/usr/local/lib/python3.7/dist-packages/datasets/load.py", line 1684, in load_dataset
use_auth_token=use_auth_token,
File "/usr/local/lib/python3.7/dist-packages/datasets/builder.py", line 705, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/usr/local/lib/python3.7/dist-packages/datasets/builder.py", line 1221, in _download_and_prepare
super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos)
File "/usr/local/lib/python3.7/dist-packages/datasets/builder.py", line 793, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.7/dist-packages/datasets/builder.py", line 1215, in _prepare_split
num_examples, num_bytes = writer.finalize()
File "/usr/local/lib/python3.7/dist-packages/datasets/arrow_writer.py", line 533, in finalize
self.write_examples_on_file()
File "/usr/local/lib/python3.7/dist-packages/datasets/arrow_writer.py", line 410, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/usr/local/lib/python3.7/dist-packages/datasets/arrow_writer.py", line 503, in write_batch
arrays.append(pa.array(typed_sequence))
File "pyarrow/array.pxi", line 230, in pyarrow.lib.array
File "pyarrow/array.pxi", line 110, in pyarrow.lib._handle_arrow_array_protocol
File "/usr/local/lib/python3.7/dist-packages/datasets/arrow_writer.py", line 198, in __arrow_array__
out = cast_array_to_feature(out, type, allow_number_to_str=not self.trying_type)
File "/usr/local/lib/python3.7/dist-packages/datasets/table.py", line 1675, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/datasets/table.py", line 1846, in cast_array_to_feature
return array_cast(array, feature(), allow_number_to_str=allow_number_to_str)
File "/usr/local/lib/python3.7/dist-packages/datasets/table.py", line 1675, in wrapper
return func(array, *args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/datasets/table.py", line 1756, in array_cast
raise TypeError(f"Couldn't cast array of type\n{array.type}\nto\n{pa_type}")
TypeError: Couldn't cast array of type
struct<c[hn]: string, en: string, zh: string>
to
struct<en: string, zh: string>
```
So the solution of this problem is to change the original array manually:
```
if 'c[hn]' in str(array.type):
py_array = array.to_pylist()
data_list = []
for vo in py_array:
tmp = {
'en': vo['en'],
}
if 'zh' not in vo:
tmp['zh'] = vo['c[hn]']
else:
tmp['zh'] = vo['zh']
data_list.append(tmp)
array = pa.array(data_list, type=pa.struct([
pa.field('en', pa.string()),
pa.field('zh', pa.string()),
]))
```
Therefore, maybe a correct version of original casia2015 file need to be updated | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"After unpinning `s3fs` and pinning `fsspec[http]>=2021.11.1`, the CI installs\r\n- `fsspec-2022.1.0`\r\n- `s3fs-0.5.1`\r\n\r\nand raises the following error:\r\n```\r\n ImportError while loading conftest '/home/runner/work/datasets/d... | 1,656,315,423,000 | 1,658,410,650,000 | 1,658,407,200,000 | MEMBER | null | false | {
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This PR:
- pins `fsspec` min version with fixed BlockSizeError: `fsspec[http]>=2021.11.1`
- https://github.com/fsspec/filesystem_spec/pull/830
- unpins `s3fs==2021.08.1` to align it with `fsspec` requirement: `s3fs>=2021.11.1`
> s3fs 2021.8.1 requires fsspec==2021.08.1
- see discussion: https://github.com/huggingface/datasets/pull/2858/files#r700027326
- updates the following requirements to be compatible with the previous ones and one with each other:
- `aiobotocore==1.4.2` to `aiobotocore>=2.0.1` (required by s3fs>=2021.11.1)
- `boto3==1.17.106` to `boto3>=1.19.8` (to be compatible with aiobotocore>=2.0.1)
- `botocore==1.20.106` to `botocore>=1.22.8` (to be compatible with aiobotocore and boto3)
Fix #4572. | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4573). All of your documentation changes will be reflected on that endpoint."
] | 1,656,275,372,000 | 1,657,120,794,000 | null | MEMBER | null | false | {
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"Thanks for reporting, @lewtun.\r\n\r\nAfter investigation, it seems that the server https://gitlab.lip6.fr does not allow HTTP Range requests.\r\n\r\nWe are trying to find a workaround..."
] | 1,656,275,057,000 | 1,658,407,201,000 | 1,658,407,201,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/mlsum/viewer/de/train
### Description
There's seems to be a problem with the download / streaming of this dataset:
```
Server error
Status code: 400
Exception: BadZipFile
Message: File is not a zip file
```
### Owner
No | {
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https://api.github.com/repos/huggingface/datasets/issues/4571 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4571/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4571/comments | https://api.github.com/repos/huggingface/datasets/issues/4571/events | https://github.com/huggingface/datasets/issues/4571 | 1,284,883,289 | I_kwDODunzps5MlcNZ | 4,571 | Dataset Viewer issue for gsarti/flores_101 | {
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"Related to https://github.com/huggingface/datasets/issues/4562#issuecomment-1166911751\r\n\r\nI'll assign @albertvillanova ",
"I'm just wondering why we don't have this dataset under:\r\n- the `facebook` namespace\r\n- or the canonical dataset `flores`: why does this only have 2 languages?"
] | 1,656,242,349,000 | 1,656,320,906,000 | null | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/gsarti/flores_101
### Description
It seems like streaming isn't supported for this dataset:
```
Server Error
Status code: 400
Exception: NotImplementedError
Message: Extraction protocol for TAR archives like 'https://dl.fbaipublicfiles.com/flores101/dataset/flores101_dataset.tar.gz' is not implemented in streaming mode. Please use `dl_manager.iter_archive` instead.
```
### Owner
No | {
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https://api.github.com/repos/huggingface/datasets/issues/4570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4570/comments | https://api.github.com/repos/huggingface/datasets/issues/4570/events | https://github.com/huggingface/datasets/issues/4570 | 1,284,846,168 | I_kwDODunzps5MlTJY | 4,570 | Dataset sharding non-contiguous? | {
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"This was silly; I was sure I'd looked for a `contiguous` argument, and was certain there wasn't one the first time I looked :smile:\r\n\r\nSorry about that.",
"Hi! You can pass `contiguous=True` to `.shard()` get contiguous shards. More info on this and the default behavior can be found in the [docs](https://hug... | 1,656,232,445,000 | 1,656,586,847,000 | 1,656,254,180,000 | CONTRIBUTOR | null | null | null | ## Describe the bug
I'm not sure if this is a bug; more likely normal behavior but i wanted to double check.
Is it normal that `datasets.shard` does not produce chunks that, when concatenated produce the original ordering of the sharded dataset?
This might be related to this pull request (https://github.com/huggingface/datasets/pull/4466) but I have to admit I did not properly look into the changes made.
## Steps to reproduce the bug
```python
max_shard_size = convert_file_size_to_int('300MB')
dataset_nbytes = dataset.data.nbytes
num_shards = int(dataset_nbytes / max_shard_size) + 1
num_shards = max(num_shards, 1)
print(f"{num_shards=}")
for shard_index in range(num_shards):
shard = dataset.shard(num_shards=num_shards, index=shard_index)
shard.to_parquet(f"tokenized/tokenized-{shard_index:03d}.parquet")
os.listdir('tokenized/')
```
## Expected results
I expected the shards to match the order of the data of the original dataset; i.e. `dataset[10]` being the same as `shard_1[10]` for example
## Actual results
Only the first element is the same; i.e. `dataset[0]` is the same as `shard_1[0]`
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.3.2
- Platform: Linux-4.15.0-176-generic-x86_64-with-glibc2.31
- Python version: 3.10.4
- PyArrow version: 8.0.0
- Pandas version: 1.4.2
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https://api.github.com/repos/huggingface/datasets/issues/4569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4569/comments | https://api.github.com/repos/huggingface/datasets/issues/4569/events | https://github.com/huggingface/datasets/issues/4569 | 1,284,833,694 | I_kwDODunzps5MlQGe | 4,569 | Dataset Viewer issue for sst2 | {
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"Hi @lewtun, thanks for reporting.\r\n\r\nI have checked locally and refreshed the preview and it seems working smooth now:\r\n```python\r\nIn [8]: ds\r\nOut[8]: \r\nDatasetDict({\r\n train: Dataset({\r\n features: ['idx', 'sentence', 'label'],\r\n num_rows: 67349\r\n })\r\n validation: Datas... | 1,656,228,774,000 | 1,656,311,868,000 | 1,656,311,868,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/sst2
### Description
Not sure what is causing this, however it seems that `load_dataset("sst2")` also hangs (even though it downloads the files without problem):
```
Status code: 400
Exception: Exception
Message: Give up after 5 attempts with ConnectionError
```
### Owner
No | {
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"Hi,\r\nCould you tell us how you are running this code?\r\nI tested on my machine (M1 Mac). And it is running fine both on and off internet.\r\n\r\n<img width=\"1033\" alt=\"Screen Shot 2022-07-03 at 1 32 25 AM\" src=\"https://user-images.githubusercontent.com/8711912/177026364-4ad7cedb-e524-4513-97f7-7961bbb34c90... | 1,656,175,436,000 | 1,656,944,980,000 | 1,656,944,980,000 | NONE | null | null | null | ### Reproduce
Using `2.3.3.dev0`
`from datasets import load_dataset`
`load_dataset("xnli", "en")`
Turn off Internet
`load_dataset("xnli", "en")`
I cancelled the second `load_dataset` eventually cuz it took super long. It would be great to have something to specify e.g. `only_load_from_cache` and avoid the library trying to download when there is no Internet. If I leave it running it works but takes way longer than when there is Internet. I would expect loading from cache to take the same amount of time regardless of whether there is Internet.
```
---------------------------------------------------------------------------
gaierror Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/urllib3/connection.py in _new_conn(self)
174 conn = connection.create_connection(
--> 175 (self._dns_host, self.port), self.timeout, **extra_kw
176 )
/opt/conda/lib/python3.7/site-packages/urllib3/util/connection.py in create_connection(address, timeout, source_address, socket_options)
71
---> 72 for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):
73 af, socktype, proto, canonname, sa = res
/opt/conda/lib/python3.7/socket.py in getaddrinfo(host, port, family, type, proto, flags)
751 addrlist = []
--> 752 for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
753 af, socktype, proto, canonname, sa = res
gaierror: [Errno -3] Temporary failure in name resolution
During handling of the above exception, another exception occurred:
KeyboardInterrupt Traceback (most recent call last)
/tmp/ipykernel_33/3594208039.py in <module>
----> 1 load_dataset("xnli", "en")
/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, **config_kwargs)
1673 revision=revision,
1674 use_auth_token=use_auth_token,
-> 1675 **config_kwargs,
1676 )
1677
/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, **config_kwargs)
1494 download_mode=download_mode,
1495 data_dir=data_dir,
-> 1496 data_files=data_files,
1497 )
1498
/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_dir, data_files, **download_kwargs)
1182 download_config=download_config,
1183 download_mode=download_mode,
-> 1184 dynamic_modules_path=dynamic_modules_path,
1185 ).get_module()
1186 elif path.count("/") == 1: # community dataset on the Hub
/opt/conda/lib/python3.7/site-packages/datasets/load.py in __init__(self, name, revision, download_config, download_mode, dynamic_modules_path)
506 self.dynamic_modules_path = dynamic_modules_path
507 assert self.name.count("/") == 0
--> 508 increase_load_count(name, resource_type="dataset")
509
510 def download_loading_script(self, revision: Optional[str]) -> str:
/opt/conda/lib/python3.7/site-packages/datasets/load.py in increase_load_count(name, resource_type)
166 if not config.HF_DATASETS_OFFLINE and config.HF_UPDATE_DOWNLOAD_COUNTS:
167 try:
--> 168 head_hf_s3(name, filename=name + ".py", dataset=(resource_type == "dataset"))
169 except Exception:
170 pass
/opt/conda/lib/python3.7/site-packages/datasets/utils/file_utils.py in head_hf_s3(identifier, filename, use_cdn, dataset, max_retries)
93 return http_head(
94 hf_bucket_url(identifier=identifier, filename=filename, use_cdn=use_cdn, dataset=dataset),
---> 95 max_retries=max_retries,
96 )
97
/opt/conda/lib/python3.7/site-packages/datasets/utils/file_utils.py in http_head(url, proxies, headers, cookies, allow_redirects, timeout, max_retries)
445 allow_redirects=allow_redirects,
446 timeout=timeout,
--> 447 max_retries=max_retries,
448 )
449 return response
/opt/conda/lib/python3.7/site-packages/datasets/utils/file_utils.py in _request_with_retry(method, url, max_retries, base_wait_time, max_wait_time, timeout, **params)
366 tries += 1
367 try:
--> 368 response = requests.request(method=method.upper(), url=url, timeout=timeout, **params)
369 success = True
370 except (requests.exceptions.ConnectTimeout, requests.exceptions.ConnectionError) as err:
/opt/conda/lib/python3.7/site-packages/requests/api.py in request(method, url, **kwargs)
59 # cases, and look like a memory leak in others.
60 with sessions.Session() as session:
---> 61 return session.request(method=method, url=url, **kwargs)
62
63
/opt/conda/lib/python3.7/site-packages/requests/sessions.py in request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
527 }
528 send_kwargs.update(settings)
--> 529 resp = self.send(prep, **send_kwargs)
530
531 return resp
/opt/conda/lib/python3.7/site-packages/requests/sessions.py in send(self, request, **kwargs)
643
644 # Send the request
--> 645 r = adapter.send(request, **kwargs)
646
647 # Total elapsed time of the request (approximately)
/opt/conda/lib/python3.7/site-packages/requests/adapters.py in send(self, request, stream, timeout, verify, cert, proxies)
448 decode_content=False,
449 retries=self.max_retries,
--> 450 timeout=timeout
451 )
452
/opt/conda/lib/python3.7/site-packages/urllib3/connectionpool.py in urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
708 body=body,
709 headers=headers,
--> 710 chunked=chunked,
711 )
712
/opt/conda/lib/python3.7/site-packages/urllib3/connectionpool.py in _make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
384 # Trigger any extra validation we need to do.
385 try:
--> 386 self._validate_conn(conn)
387 except (SocketTimeout, BaseSSLError) as e:
388 # Py2 raises this as a BaseSSLError, Py3 raises it as socket timeout.
/opt/conda/lib/python3.7/site-packages/urllib3/connectionpool.py in _validate_conn(self, conn)
1038 # Force connect early to allow us to validate the connection.
1039 if not getattr(conn, "sock", None): # AppEngine might not have `.sock`
-> 1040 conn.connect()
1041
1042 if not conn.is_verified:
/opt/conda/lib/python3.7/site-packages/urllib3/connection.py in connect(self)
356 def connect(self):
357 # Add certificate verification
--> 358 self.sock = conn = self._new_conn()
359 hostname = self.host
360 tls_in_tls = False
/opt/conda/lib/python3.7/site-packages/urllib3/connection.py in _new_conn(self)
173 try:
174 conn = connection.create_connection(
--> 175 (self._dns_host, self.port), self.timeout, **extra_kw
176 )
177
KeyboardInterrupt:
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/4567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4567/comments | https://api.github.com/repos/huggingface/datasets/issues/4567/events | https://github.com/huggingface/datasets/pull/4567 | 1,284,528,474 | PR_kwDODunzps46Wh0- | 4,567 | Add evaluation data for amazon_reviews_multi | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4567). All of your documentation changes will be reflected on that endpoint."
] | 1,656,150,052,000 | 1,657,120,794,000 | null | MEMBER | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/4566 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4566/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4566/comments | https://api.github.com/repos/huggingface/datasets/issues/4566/events | https://github.com/huggingface/datasets/issues/4566 | 1,284,397,594 | I_kwDODunzps5Mjloa | 4,566 | Document link #load_dataset_enhancing_performance points to nowhere | {
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"Hi! This is indeed the link the docstring should point to. Are you interested in submitting a PR to fix this?",
"https://github.com/huggingface/datasets/blame/master/docs/source/cache.mdx#L93\r\n\r\nThere seems already an anchor here. Somehow it doesn't work. I am not very familiar with how this online documenta... | 1,656,119,899,000 | 1,656,534,594,000 | null | NONE | null | null | null | ## Describe the bug
A clear and concise description of what the bug is.

The [load_dataset_enhancing_performance](https://huggingface.co/docs/datasets/v2.3.2/en/package_reference/main_classes#load_dataset_enhancing_performance) link [here](https://huggingface.co/docs/datasets/v2.3.2/en/package_reference/main_classes#datasets.Dataset.load_from_disk.keep_in_memory) points to nowhere, I guess it should point to https://huggingface.co/docs/datasets/v2.3.2/en/cache#improve-performance?
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https://api.github.com/repos/huggingface/datasets/issues/4565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4565/comments | https://api.github.com/repos/huggingface/datasets/issues/4565/events | https://github.com/huggingface/datasets/issues/4565 | 1,284,141,666 | I_kwDODunzps5MinJi | 4,565 | Add UFSC OCPap dataset | {
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"I will add this directly on the hub (same as #4486)—in https://huggingface.co/lapix"
] | 1,656,101,274,000 | 1,657,134,182,000 | 1,657,134,182,000 | NONE | null | null | null | ## Adding a Dataset
- **Name:** UFSC OCPap: Papanicolaou Stained Oral Cytology Dataset (v4)
- **Description:** The UFSC OCPap dataset comprises 9,797 labeled images of 1200x1600 pixels acquired from 5 slides of cancer diagnosed and 3 healthy of oral brush samples, from distinct patients.
- **Paper:** https://dx.doi.org/10.2139/ssrn.4119212
- **Data:** https://data.mendeley.com/datasets/dr7ydy9xbk/1
- **Motivation:** real data of pap stained oral cytology samples
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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https://api.github.com/repos/huggingface/datasets/issues/4564 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4564/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4564/comments | https://api.github.com/repos/huggingface/datasets/issues/4564/events | https://github.com/huggingface/datasets/pull/4564 | 1,283,932,333 | PR_kwDODunzps46UqUN | 4,564 | Support streaming bookcorpus dataset | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,656,087,219,000 | 1,657,100,088,000 | 1,657,099,384,000 | MEMBER | null | false | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,656,086,103,000 | 1,656,089,697,000 | 1,656,089,081,000 | MEMBER | null | false | {
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Fix #4562. | {
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https://api.github.com/repos/huggingface/datasets/issues/4562 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4562/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4562/comments | https://api.github.com/repos/huggingface/datasets/issues/4562/events | https://github.com/huggingface/datasets/issues/4562 | 1,283,779,557 | I_kwDODunzps5MhOvl | 4,562 | Dataset Viewer issue for allocine | {
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"I removed my assignment as @huggingface/datasets should be able to answer better than me\r\n",
"Let me have a look...",
"Thanks for the quick fix @albertvillanova ",
"Note that the underlying issue is that datasets containing TAR files are not streamable out of the box: they need being iterated with `dl_mana... | 1,656,078,638,000 | 1,656,311,972,000 | 1,656,089,081,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/allocine
### Description
Not sure if this is a problem with `bz2` compression, but I thought these datasets could be streamed:
```
Status code: 400
Exception: AttributeError
Message: 'TarContainedFile' object has no attribute 'readable'
```
### Owner
No | {
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https://api.github.com/repos/huggingface/datasets/issues/4561 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4561/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4561/comments | https://api.github.com/repos/huggingface/datasets/issues/4561/events | https://github.com/huggingface/datasets/pull/4561 | 1,283,624,242 | PR_kwDODunzps46TnVe | 4,561 | Add evaluation data to acronym_identification | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4560). All of your documentation changes will be reflected on that endpoint."
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https://api.github.com/repos/huggingface/datasets/issues/4559 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4559/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4559/comments | https://api.github.com/repos/huggingface/datasets/issues/4559/events | https://github.com/huggingface/datasets/pull/4559 | 1,283,544,937 | PR_kwDODunzps46TV7- | 4,559 | Add action names in schema_guided_dstc8 dataset card | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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https://api.github.com/repos/huggingface/datasets/issues/4557 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4557/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4557/comments | https://api.github.com/repos/huggingface/datasets/issues/4557/events | https://github.com/huggingface/datasets/pull/4557 | 1,283,473,889 | PR_kwDODunzps46TGZK | 4,557 | Add evaluation metadata to wmt16 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4557). All of your documentation changes will be reflected on that endpoint.",
"> Just to confirm: we should add this metadata via GitHub and not Hub PRs for canonical datasets right?\r\n\r\nyes :)"
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https://api.github.com/repos/huggingface/datasets/issues/4556 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4556/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4556/comments | https://api.github.com/repos/huggingface/datasets/issues/4556/events | https://github.com/huggingface/datasets/issues/4556 | 1,283,462,881 | I_kwDODunzps5MgBbh | 4,556 | Dataset Viewer issue for conll2003 | {
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"Fixed, thanks."
] | 1,656,060,918,000 | 1,656,064,239,000 | 1,656,064,239,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/conll2003/viewer/conll2003/test
### Description
Seems like a cache problem with this config / split:
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '/cache/modules/datasets_modules/datasets/conll2003/__init__.py'
```
### Owner
No | {
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https://api.github.com/repos/huggingface/datasets/issues/4555 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4555/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4555/comments | https://api.github.com/repos/huggingface/datasets/issues/4555/events | https://github.com/huggingface/datasets/issues/4555 | 1,283,451,651 | I_kwDODunzps5Mf-sD | 4,555 | Dataset Viewer issue for xtreme | {
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"Fixed, thanks."
] | 1,656,060,368,000 | 1,656,064,245,000 | 1,656,064,245,000 | MEMBER | null | null | null | ### Link
https://huggingface.co/datasets/xtreme/viewer/PAN-X.de/test
### Description
There seems to be a problem with the cache of this config / split:
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '/cache/modules/datasets_modules/datasets/xtreme/349258adc25bb45e47de193222f95e68a44f7a7ab53c4283b3f007208a11bf7e/xtreme.py'
```
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,656,055,576,000 | 1,657,294,760,000 | 1,657,294,064,000 | CONTRIBUTOR | null | false | {
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} | This PR is a fix for #4354
Changes are made for `wmt14`, `wmt15`, `wmt16`, `wmt17`, `wmt18`, `wmt19` and `wmt_t2t`. And READMEs are updated for the corresponding datasets.
Let me know, if any additional changes are required.
Thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/4553 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4553/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4553/comments | https://api.github.com/repos/huggingface/datasets/issues/4553/events | https://github.com/huggingface/datasets/pull/4553 | 1,282,779,560 | PR_kwDODunzps46Q1q7 | 4,553 | Stop dropping columns in to_tf_dataset() before we load batches | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq Rebasing fixed the test failures, so this should be ready to review now! There's still a failure on Win but it seems unrelated.",
"Gentle ping @lhoestq ! This is a simple fix (dropping columns after loading a batch from th... | 1,656,008,465,000 | 1,656,961,213,000 | 1,656,960,541,000 | MEMBER | null | false | {
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cc @amyeroberts and https://github.com/huggingface/notebooks/pull/202 | {
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https://api.github.com/repos/huggingface/datasets/issues/4552 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4552/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4552/comments | https://api.github.com/repos/huggingface/datasets/issues/4552/events | https://github.com/huggingface/datasets/pull/4552 | 1,282,615,646 | PR_kwDODunzps46QSHV | 4,552 | Tell users to upload on the hub directly | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks ! I updated the two remaining files"
] | 1,655,999,272,000 | 1,656,258,586,000 | 1,656,257,951,000 | MEMBER | null | false | {
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} | As noted in https://github.com/huggingface/datasets/pull/4534, it is still not clear that it is recommended to add datasets on the Hugging Face Hub directly instead of GitHub, so I updated some docs.
Moreover since users won't be able to get reviews from us on the Hub, I added a paragraph to tell users that they can open a discussion and tag `datasets` maintainers for reviews.
Finally I removed the _previous good reasons_ to add a dataset on GitHub to only keep this one:
> In some rare cases it makes more sense to open a PR on GitHub. For example when you are not the author of the dataset and there is no clear organization / namespace that you can put the dataset under.
Does it sound good to you @albertvillanova @julien-c ? | {
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https://api.github.com/repos/huggingface/datasets/issues/4551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4551/comments | https://api.github.com/repos/huggingface/datasets/issues/4551/events | https://github.com/huggingface/datasets/pull/4551 | 1,282,534,807 | PR_kwDODunzps46QAV- | 4,551 | Perform hidden file check on relative data file path | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'm aware of this behavior, which is tricky to solve due to fsspec's hidden file handling (see https://github.com/huggingface/datasets/issues/4115#issuecomment-1108819538). I've tested some regex patterns to address this, and they se... | 1,655,995,751,000 | 1,656,600,560,000 | 1,656,599,898,000 | CONTRIBUTOR | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/4550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4550/comments | https://api.github.com/repos/huggingface/datasets/issues/4550/events | https://github.com/huggingface/datasets/issues/4550 | 1,282,374,441 | I_kwDODunzps5Mb3sp | 4,550 | imdb source error | {
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"Thanks for reporting, @Muhtasham.\r\n\r\nIndeed IMDB dataset is not accessible from yesterday, because the data is hosted on the data owners servers at Stanford (http://ai.stanford.edu/) and these are down due to a power outage originated by a fire: https://twitter.com/StanfordAILab/status/1539472302399623170?s=20... | 1,655,989,372,000 | 1,655,992,025,000 | 1,655,992,024,000 | NONE | null | null | null | ## Describe the bug
imdb dataset not loading
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("imdb")
```
## Expected results
## Actual results
```bash
06/23/2022 14:45:18 - INFO - datasets.builder - Dataset not on Hf google storage. Downloading and preparing it from source
06/23/2022 14:46:34 - INFO - datasets.utils.file_utils - HEAD request to http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz timed out, retrying... [1.0]
.....
ConnectionError: Couldn't reach http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz (ConnectTimeout(MaxRetryError("HTTPConnectionPool(host='ai.stanford.edu', port=80): Max retries exceeded with url: /~amaas/data/sentiment/aclImdb_v1.tar.gz (Caused by ConnectTimeoutError(<urllib3.connection.HTTPConnection object at 0x7f2d750cf690>, 'Connection to ai.stanford.edu timed out. (connect timeout=100)'))")))
```
## Environment info
- `datasets` version: 2.3.2
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- PyArrow version: 6.0.1
- Pandas version: 1.3.5
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https://api.github.com/repos/huggingface/datasets/issues/4549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4549/comments | https://api.github.com/repos/huggingface/datasets/issues/4549/events | https://github.com/huggingface/datasets/issues/4549 | 1,282,312,975 | I_kwDODunzps5MbosP | 4,549 | FileNotFoundError when passing a data_file inside a directory starting with double underscores | {
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"I have consistently experienced this bug on GitHub actions when bumping to `2.3.2`",
"We're working on a fix ;)"
] | 1,655,986,764,000 | 1,656,599,898,000 | 1,656,599,898,000 | MEMBER | null | null | null | Bug experienced in the `accelerate` CI: https://github.com/huggingface/accelerate/runs/7016055148?check_suite_focus=true
This is related to https://github.com/huggingface/datasets/pull/4505 and the changes from https://github.com/huggingface/datasets/pull/4412 | {
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https://api.github.com/repos/huggingface/datasets/issues/4548 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4548/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4548/comments | https://api.github.com/repos/huggingface/datasets/issues/4548/events | https://github.com/huggingface/datasets/issues/4548 | 1,282,218,096 | I_kwDODunzps5MbRhw | 4,548 | Metadata.jsonl for Imagefolder is ignored if it's in a parent directory to the splits directories/do not have "{split}_" prefix | {
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"I agree it would be nice to support this. It doesn't fit really well in the current data_files.py, where files of each splits are separated in different folder though, maybe we have to modify a bit the logic here. \r\n\r\nOne idea would be to extend `get_patterns_in_dataset_repository` and `get_patterns_locally` t... | 1,655,981,937,000 | 1,656,584,132,000 | 1,656,584,132,000 | CONTRIBUTOR | null | null | null | If data contains a single `metadata.jsonl` file for several splits, it won't be included in a dataset's `data_files` and therefore ignored.
This happens when a directory is structured like as follows:
```
train/
file_1.jpg
file_2.jpg
test/
file_3.jpg
file_4.jpg
metadata.jsonl
```
or like as follows:
```
train_file_1.jpg
train_file_2.jpg
test_file_3.jpg
test_file_4.jpg
metadata.jsonl
```
The same for HF repos.
because it's ignored by the patterns [here](https://github.com/huggingface/datasets/blob/master/src/datasets/data_files.py#L29)
@lhoestq @mariosasko Do you think it's better to add this functionality in `data_files.py` or just specifically in imagefolder/audiofolder code? In `data_files.py` would me more general but I don't know if there are any other cases when that might be needed.
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"_The documentation is not available anymore as the PR was closed or merged._",
"There is a CI failure only related to the missing content of the universal_dependencies dataset card, we can ignore this failure in this PR",
"good catch, I thought I resolved them all sorry",
"Alright it should be good now"
] | 1,655,979,049,000 | 1,656,425,457,000 | 1,656,424,794,000 | MEMBER | null | false | {
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} | There are some warnings in the CI that are annoying, I tried to remove most of them | {
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https://api.github.com/repos/huggingface/datasets/issues/4546 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4546/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4546/comments | https://api.github.com/repos/huggingface/datasets/issues/4546/events | https://github.com/huggingface/datasets/pull/4546 | 1,282,093,288 | PR_kwDODunzps46Oe_K | 4,546 | [CI] fixing seqeval install in ci by pinning setuptools-scm | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 1,655,976,277,000 | 1,655,979,856,000 | 1,655,979,224,000 | MEMBER | null | false | {
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} | The latest setuptools-scm version supported on 3.6 is 6.4.2. However for some reason circleci has version 7, which doesn't work.
I fixed this by pinning the version of setuptools-scm in the circleci job
Fix https://github.com/huggingface/datasets/issues/4544 | {
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