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https://api.github.com/repos/huggingface/datasets/issues/2661 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2661/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2661/comments | https://api.github.com/repos/huggingface/datasets/issues/2661/events | https://github.com/huggingface/datasets/pull/2661 | 946,446,967 | MDExOlB1bGxSZXF1ZXN0NjkxNjE5MzAz | 2,661 | Add SD task for SUPERB | {
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"I make a summary about our discussion with @lewtun and @Narsil on the agreed schema for this dataset and the additional steps required to generate the 2D array labels:\r\n- The labels for this dataset are a 2D array:\r\n Given an example:\r\n ```python\r\n {\"record_id\": record_id, \"file\": file, \"start\": s... | 1,626,453,801,000 | 1,628,096,633,000 | 1,628,096,633,000 | MEMBER | null | Include the SD (Speaker Diarization) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream#sd-speaker-diarization).
TODO:
- [x] Generate the LibriMix corpus
- [x] Prepare the corpus for diarization
- [x] Upl... | {
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https://api.github.com/repos/huggingface/datasets/issues/2660 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2660/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2660/comments | https://api.github.com/repos/huggingface/datasets/issues/2660/events | https://github.com/huggingface/datasets/pull/2660 | 946,316,180 | MDExOlB1bGxSZXF1ZXN0NjkxNTA4NzE0 | 2,660 | Move checks from _map_single to map | {
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"@lhoestq This one has been open for a while. Could you please take a look?",
"@lhoestq Ready for the final review!",
"I forgot to update the signature of `DatasetDict.map`, so did that now."
] | 1,626,443,613,000 | 1,630,937,543,000 | 1,630,937,543,000 | CONTRIBUTOR | null | The goal of this PR is to remove duplicated checks in the `map` logic to execute them only once whenever possible (`fn_kwargs`, `input_columns`, ...). Additionally, this PR improves the consistency (to align it with `input_columns`) of the `remove_columns` check by adding support for a single string value, which is the... | {
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https://api.github.com/repos/huggingface/datasets/issues/2659 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2659/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2659/comments | https://api.github.com/repos/huggingface/datasets/issues/2659/events | https://github.com/huggingface/datasets/pull/2659 | 946,155,407 | MDExOlB1bGxSZXF1ZXN0NjkxMzcwNzU3 | 2,659 | Allow dataset config kwargs to be None | {
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The dataset config kwargs that were set to None we simply ignored.
This was an issue when None has some meaning for certain parameters of certain builders, like the `sep` parameter of the "csv" builder that allows to infer to separator.
cc @SBrandeis | {
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https://api.github.com/repos/huggingface/datasets/issues/2658 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2658/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2658/comments | https://api.github.com/repos/huggingface/datasets/issues/2658/events | https://github.com/huggingface/datasets/issues/2658 | 946,139,532 | MDU6SXNzdWU5NDYxMzk1MzI= | 2,658 | Can't pass `sep=None` to load_dataset("csv", ...) to infer the separator via pandas.read_csv | {
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Related to https://github.com/huggingface/datasets/pull/2656
cc @SBrandeis | {
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https://api.github.com/repos/huggingface/datasets/issues/2656 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2656/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2656/comments | https://api.github.com/repos/huggingface/datasets/issues/2656/events | https://github.com/huggingface/datasets/pull/2656 | 945,421,790 | MDExOlB1bGxSZXF1ZXN0NjkwNzUzNjA3 | 2,656 | Change `from_csv` default arguments | {
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"This is not the default in pandas right ?\r\nWe try to align our CSV loader with the pandas API.\r\n\r\nMoreover according to their documentation, the python parser is used when sep is None, which might not be the fastest one.\r\n\r\nMaybe users could just specify `sep=None` themselves ?\r\nIn this case we should ... | 1,626,358,146,000 | 1,626,431,006,000 | 1,626,431,006,000 | CONTRIBUTOR | null | Passing `sep=None` to pandas's `read_csv` lets pandas guess the CSV file's separator
This PR allows users to use this pandas's feature by passing `sep=None` to `Dataset.from_csv`:
```python
Dataset.from_csv(
...,
sep=None
)
``` | {
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"Note that this subset requires us to:\r\n\r\n* generate the LibriMix corpus from LibriSpeech\r\n* prepare the corpus for diarization\r\n\r\nAs suggested by @lhoestq we should perform these steps locally and add the prepared data to this public repo on the Hub: https://huggingface.co/datasets/superb/superb-data\r\n... | 1,626,335,500,000 | 1,628,096,632,000 | 1,628,096,632,000 | MEMBER | null | Include the SD (Speaker Diarization) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/master/s3prl/downstream#sd-speaker-diarization).
Steps:
- [x] Generate the LibriMix corpus
- [x] Prepare the corpus for diarization
- [x] Up... | {
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https://api.github.com/repos/huggingface/datasets/issues/2652 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2652/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2652/comments | https://api.github.com/repos/huggingface/datasets/issues/2652/events | https://github.com/huggingface/datasets/pull/2652 | 944,865,924 | MDExOlB1bGxSZXF1ZXN0NjkwMjg0MTI4 | 2,652 | Fix logging docstring | {
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https://api.github.com/repos/huggingface/datasets/issues/2651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2651/comments | https://api.github.com/repos/huggingface/datasets/issues/2651/events | https://github.com/huggingface/datasets/issues/2651 | 944,796,961 | MDU6SXNzdWU5NDQ3OTY5NjE= | 2,651 | Setting log level higher than warning does not suppress progress bar | {
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"Hi,\r\n\r\nyou can suppress progress bars by patching logging as follows:\r\n```python\r\nimport datasets\r\nimport logging\r\ndatasets.logging.get_verbosity = lambda: logging.NOTSET\r\n# map call ...\r\n```",
"Thank you, it worked :)",
"See https://github.com/huggingface/datasets/issues/2528 for reference",
... | 1,626,296,811,000 | 1,627,045,390,000 | 1,626,320,495,000 | NONE | null | ## Describe the bug
I would like to disable progress bars for `.map` method (and other methods like `.filter` and `load_dataset` as well).
According to #1627 one can suppress it by setting log level higher than `warning`, however doing so doesn't suppress it with version 1.9.0.
I also tried to set `DATASETS_VERBOS... | {
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https://api.github.com/repos/huggingface/datasets/issues/2645 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2645/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2645/comments | https://api.github.com/repos/huggingface/datasets/issues/2645/events | https://github.com/huggingface/datasets/issues/2645 | 944,374,284 | MDU6SXNzdWU5NDQzNzQyODQ= | 2,645 | load_dataset processing failed with OS error after downloading a dataset | {
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"Hi ! It looks like an issue with pytorch.\r\n\r\nCould you try to run `import torch` and see if it raises an error ?",
"> Hi ! It looks like an issue with pytorch.\r\n> \r\n> Could you try to run `import torch` and see if it raises an error ?\r\n\r\nIt works. Thank you!"
] | 1,626,265,433,000 | 1,626,341,642,000 | 1,626,341,642,000 | NONE | null | ## Describe the bug
After downloading a dataset like opus100, there is a bug that
OSError: Cannot find data file.
Original error:
dlopen: cannot load any more object with static TLS
## Steps to reproduce the bug
```python
from datasets import load_dataset
this_dataset = load_dataset('opus100', 'af-en')
```
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https://api.github.com/repos/huggingface/datasets/issues/2644 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2644/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2644/comments | https://api.github.com/repos/huggingface/datasets/issues/2644/events | https://github.com/huggingface/datasets/issues/2644 | 944,254,748 | MDU6SXNzdWU5NDQyNTQ3NDg= | 2,644 | Batched `map` not allowed to return 0 items | {
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"Hi ! Thanks for reporting. Indeed it looks like type inference makes it fail. We should probably just ignore this step until a non-empty batch is passed.",
"Sounds good! Do you want me to propose a PR? I'm quite busy right now, but if it's not too urgent I could take a look next week.",
"Sure if you're interes... | 1,626,256,699,000 | 1,627,311,315,000 | 1,627,311,315,000 | CONTRIBUTOR | null | ## Describe the bug
I'm trying to use `map` to filter a large dataset by selecting rows that match an expensive condition (files referenced by one of the columns need to exist in the filesystem, so we have to `stat` them). According to [the documentation](https://huggingface.co/docs/datasets/processing.html#augmenting... | {
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https://api.github.com/repos/huggingface/datasets/issues/2640 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2640/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2640/comments | https://api.github.com/repos/huggingface/datasets/issues/2640/events | https://github.com/huggingface/datasets/pull/2640 | 943,591,055 | MDExOlB1bGxSZXF1ZXN0Njg5MjAxMDkw | 2,640 | Fix docstrings | {
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"title... | [] | 1,626,192,554,000 | 1,626,331,861,000 | 1,626,329,172,000 | MEMBER | null | Fix rendering of some docstrings. | {
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https://api.github.com/repos/huggingface/datasets/issues/2639 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2639/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2639/comments | https://api.github.com/repos/huggingface/datasets/issues/2639/events | https://github.com/huggingface/datasets/pull/2639 | 943,527,463 | MDExOlB1bGxSZXF1ZXN0Njg5MTQ3NDE5 | 2,639 | Refactor patching to specific submodule | {
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In relation with the initial approach followed in #2631. | {
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https://api.github.com/repos/huggingface/datasets/issues/2638 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2638/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2638/comments | https://api.github.com/repos/huggingface/datasets/issues/2638/events | https://github.com/huggingface/datasets/pull/2638 | 943,484,913 | MDExOlB1bGxSZXF1ZXN0Njg5MTA5NTg1 | 2,638 | Streaming for the Json loader | {
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"A note is that I think we should add a few indicator of status (as mentioned by @stas00 in #2649), probably at the (1) downloading, (2) extracting and (3) reading steps. In particular when loading many very large files it's interesting to know a bit where we are in the process.",
"I tested locally, and the built... | 1,626,187,026,000 | 1,626,451,172,000 | 1,626,451,171,000 | MEMBER | null | It was not using `open` in the builder. Therefore `pyarrow.json.read_json` was downloading the full file to start yielding rows.
Moreover, it appeared that `pyarrow.json.read_json` was not really suited for streaming as it was downloading too much data and failing if `block_size` was not properly configured (related... | {
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https://api.github.com/repos/huggingface/datasets/issues/2636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2636/comments | https://api.github.com/repos/huggingface/datasets/issues/2636/events | https://github.com/huggingface/datasets/pull/2636 | 943,044,514 | MDExOlB1bGxSZXF1ZXN0Njg4NzEyMTY4 | 2,636 | Streaming for the Pandas loader | {
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Indeed, when streaming, open is extended to support reading from remote files and handles authentication to the HF Hub | {
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https://api.github.com/repos/huggingface/datasets/issues/2635 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2635/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2635/comments | https://api.github.com/repos/huggingface/datasets/issues/2635/events | https://github.com/huggingface/datasets/pull/2635 | 943,030,999 | MDExOlB1bGxSZXF1ZXN0Njg4Njk5OTM5 | 2,635 | Streaming for the CSV loader | {
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Indeed, when streaming, `open` is extended to support reading from remote file progressively. | {
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https://api.github.com/repos/huggingface/datasets/issues/2634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2634/comments | https://api.github.com/repos/huggingface/datasets/issues/2634/events | https://github.com/huggingface/datasets/pull/2634 | 942,805,621 | MDExOlB1bGxSZXF1ZXN0Njg4NDk2Mzc2 | 2,634 | Inject ASR template for lj_speech dataset | {
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cc: @lewtun | {
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https://api.github.com/repos/huggingface/datasets/issues/2633 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2633/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2633/comments | https://api.github.com/repos/huggingface/datasets/issues/2633/events | https://github.com/huggingface/datasets/pull/2633 | 942,396,414 | MDExOlB1bGxSZXF1ZXN0Njg4MTMwOTA5 | 2,633 | Update ASR tags | {
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"title... | [] | 1,626,119,911,000 | 1,626,155,126,000 | 1,626,155,113,000 | MEMBER | null | This PR updates the ASR tags of the 5 datasets added in #2565 following the change of task categories in #2620 | {
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https://api.github.com/repos/huggingface/datasets/issues/2632 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2632/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2632/comments | https://api.github.com/repos/huggingface/datasets/issues/2632/events | https://github.com/huggingface/datasets/pull/2632 | 942,293,727 | MDExOlB1bGxSZXF1ZXN0Njg4MDQyMjcw | 2,632 | add image-classification task template | {
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"Awesome!",
"Thanks for adding a new task template - great work @nateraw 🚀 !"
] | 1,626,111,663,000 | 1,626,191,068,000 | 1,626,190,096,000 | CONTRIBUTOR | null | Snippet below is the tl;dr, but you can try it out directly here:
[](https://colab.research.google.com/gist/nateraw/005c025d41f0e48ae3d4ee61c0f20b70/image-classification-task-template-demo.ipynb)
```python
from datasets import load_datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/2631 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2631/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2631/comments | https://api.github.com/repos/huggingface/datasets/issues/2631/events | https://github.com/huggingface/datasets/pull/2631 | 942,242,271 | MDExOlB1bGxSZXF1ZXN0Njg3OTk3MzM2 | 2,631 | Delete extracted files when loading dataset | {
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"Sure @stas00, it is still a draft pull request. :)",
"Yes, I noticed it after reviewing - my apologies.",
"The problem with this approach is that it also deletes the downloaded files (if they need not be extracted). 😟 ",
"> The problem with this approach is that it also deletes the downloaded files (if they... | 1,626,107,973,000 | 1,626,685,699,000 | 1,626,685,699,000 | MEMBER | null | Close #2481, close #2604, close #2591.
cc: @stas00, @thomwolf, @BirgerMoell | {
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"This is so cool, let us know if we can help with anything on the hub side (@Pierrci @elishowk) 🎉 "
] | 1,626,079,517,000 | 1,629,901,088,000 | 1,629,901,088,000 | MEMBER | null | As a user I would like to be able to upload my csv/json/text/parquet/etc. files in a dataset repository on the Hugging Face Hub and be able to load this dataset with `load_dataset` without having to implement a dataset script.
Moreover I would like to be able to specify which file goes into which split using the `da... | {
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https://api.github.com/repos/huggingface/datasets/issues/2628 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2628/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2628/comments | https://api.github.com/repos/huggingface/datasets/issues/2628/events | https://github.com/huggingface/datasets/pull/2628 | 941,676,404 | MDExOlB1bGxSZXF1ZXN0Njg3NTE0NzQz | 2,628 | Use ETag of remote data files | {
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Related to #2616. | {
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https://api.github.com/repos/huggingface/datasets/issues/2626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2626/comments | https://api.github.com/repos/huggingface/datasets/issues/2626/events | https://github.com/huggingface/datasets/pull/2626 | 941,497,830 | MDExOlB1bGxSZXF1ZXN0Njg3MzY4OTMz | 2,626 | Use correct logger in metrics.py | {
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https://api.github.com/repos/huggingface/datasets/issues/2625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2625/comments | https://api.github.com/repos/huggingface/datasets/issues/2625/events | https://github.com/huggingface/datasets/issues/2625 | 941,439,922 | MDU6SXNzdWU5NDE0Mzk5MjI= | 2,625 | ⚛️😇⚙️🔑 | {
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https://api.github.com/repos/huggingface/datasets/issues/2624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2624/comments | https://api.github.com/repos/huggingface/datasets/issues/2624/events | https://github.com/huggingface/datasets/issues/2624 | 941,318,247 | MDU6SXNzdWU5NDEzMTgyNDc= | 2,624 | can't set verbosity for `metric.py` | {
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"Thanks @thomas-happify for reporting and thanks @mariosasko for the fix."
] | 1,625,948,625,000 | 1,626,069,269,000 | 1,626,069,269,000 | NONE | null | ## Describe the bug
```
[2021-07-10 20:13:11,528][datasets.utils.filelock][INFO] - Lock 139705371374976 acquired on /root/.cache/huggingface/metrics/seqeval/default/default_experiment-1-0.arrow.lock
[2021-07-10 20:13:11,529][datasets.arrow_writer][INFO] - Done writing 32 examples in 6100 bytes /root/.cache/huggingfa... | {
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https://api.github.com/repos/huggingface/datasets/issues/2623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2623/comments | https://api.github.com/repos/huggingface/datasets/issues/2623/events | https://github.com/huggingface/datasets/pull/2623 | 941,265,342 | MDExOlB1bGxSZXF1ZXN0Njg3MTk0MjM3 | 2,623 | [Metrics] added wiki_split metrics | {
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"Looks all good to me thanks :)\r\nJust did some minor corrections in the docstring"
] | 1,625,928,710,000 | 1,626,272,893,000 | 1,626,129,271,000 | CONTRIBUTOR | null | Fixes: #2606
This pull request adds combine metrics for the wikisplit or English sentence split task
Reviewer: @patrickvonplaten | {
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https://api.github.com/repos/huggingface/datasets/issues/2621 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2621/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2621/comments | https://api.github.com/repos/huggingface/datasets/issues/2621/events | https://github.com/huggingface/datasets/pull/2621 | 940,916,446 | MDExOlB1bGxSZXF1ZXN0Njg2OTE1Mzcw | 2,621 | Use prefix to allow exceed Windows MAX_PATH | {
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"Does this mean the `FileNotFoundError` that avoids infinite loop can be removed?",
"Yes, I think so...",
"Or maybe we could leave it in case a relative path exceeds the MAX_PATH limit?",
" > Or maybe we could leave it in case a relative path exceeds the MAX_PATH limit?\r\n\r\nWhat about converting relative p... | 1,625,848,793,000 | 1,626,449,292,000 | 1,626,449,291,000 | MEMBER | null | By using this prefix, you can exceed the Windows MAX_PATH limit.
See: https://docs.microsoft.com/en-us/windows/win32/fileio/naming-a-file?redirectedfrom=MSDN#win32-file-namespaces
Related to #2524, #2220. | {
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https://api.github.com/repos/huggingface/datasets/issues/2620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2620/comments | https://api.github.com/repos/huggingface/datasets/issues/2620/events | https://github.com/huggingface/datasets/pull/2620 | 940,893,389 | MDExOlB1bGxSZXF1ZXN0Njg2ODk3MDky | 2,620 | Add speech processing tasks | {
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"Are there any `task_categories:automatic-speech-recognition` dataset for which we should update the tags ?",
"> Are there any `task_categories:automatic-speech-recognition` dataset for which we should update the tags ?\r\n\r\nYes there's a few - I'll fix them tomorrow :)"
] | 1,625,846,849,000 | 1,626,114,779,000 | 1,626,111,122,000 | MEMBER | null | This PR replaces the `automatic-speech-recognition` task category with a broader `speech-processing` category.
The tasks associated with this category are derived from the [SUPERB benchmark](https://arxiv.org/abs/2105.01051), and ASR is included in this set. | {
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"Wait until #2620 is merged before pushing the README tags in this PR",
"> Thanks!\r\n> \r\n> One question: aren't you adding `task_templates` to the `_info` method (and to the `dataset_infos.json`?\r\n\r\ngreat catch! i've now added the asr task template (along with a mapping from superb task -> template) and up... | 1,625,843,985,000 | 1,626,339,358,000 | 1,626,180,018,000 | MEMBER | null | This PR starts building up the SUPERB benchmark by including the ASR task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/v0.2.0/downstream#asr-automatic-speech-recognition).
Usage:
```python
from datasets import load_dataset
... | {
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Therefore users could end up having two samples in the same line
Close https://github.com/huggingface/datasets/issues/2615 | {
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"@lhoestq maybe we could also use (if available) the ETag of the remote file in `create_config_id`?",
"> @lhoestq maybe we could also use (if available) the ETag of the remote file in `create_config_id`?\r\n\r\nSure ! We can get the ETag with\r\n```python\r\nheaders = get_authentication_headers_for_url(url, use_a... | 1,625,839,658,000 | 1,625,847,221,000 | 1,625,847,221,000 | MEMBER | null | Add support for (streaming) remote data files:
```python
data_files = f"https://huggingface.co/datasets/{repo_id}/resolve/main/{relative_file_path}"
ds = load_dataset("json", split="train", data_files=data_files, streaming=True)
```
cc: @thomwolf | {
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"Thanks for reporting @TevenLeScao! I'm having a look...",
"(not sure what just happened on the assignations sorry)",
"For some reason this happens (both `datasets` version are on master) only on Python 3.6 and not Python 3.8.",
"@TevenLeScao we are using `pandas` to serialize the dataset to JSON Lines. So it... | 1,625,839,325,000 | 1,625,844,547,000 | 1,625,844,513,000 | MEMBER | null | ## Describe the bug
When exporting large datasets in jsonlines (c4 in my case) the created file has an error every 9999 lines: the 9999th and 10000th are concatenated, thus breaking the jsonlines format. This sounds like it is related to batching, which is by 10000 by default
## Steps to reproduce the bug
This wha... | {
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"It could be surprising at first to use `tolist()` on numpy scalars but it works ^^",
"did the same for Pearsonr here: https://github.com/huggingface/datase... | 1,625,824,089,000 | 1,626,099,173,000 | 1,625,835,834,000 | MEMBER | null | This PR converts the return type of all `sklearn` metrics to be Python `float` instead of `numpy.float64`.
The reason behind this is that our Hub evaluation framework relies on converting benchmark-specific metrics to YAML ([example](https://huggingface.co/datasets/autonlp/autonlp-benchmark-raft-neelalex__raft-test-... | {
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"Finally, I'm splitting this PR."
] | 1,625,733,484,000 | 1,626,099,196,000 | 1,625,848,928,000 | MEMBER | null | Fix potential DiplicatedKeysError by ensuring keys are unique.
We should promote as a good practice, that the keys should be programmatically generated as unique, instead of read from data (which might be not unique). | {
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Close #2607. | {
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https://api.github.com/repos/huggingface/datasets/issues/2607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2607/comments | https://api.github.com/repos/huggingface/datasets/issues/2607/events | https://github.com/huggingface/datasets/issues/2607 | 938,796,902 | MDU6SXNzdWU5Mzg3OTY5MDI= | 2,607 | Streaming local gzip compressed JSON line files is not working | {
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"Updating to pyarrow-4.0.1 didn't fix the issue",
"Here is an exemple dataset with 2 of these compressed JSON files: https://huggingface.co/datasets/thomwolf/github-python",
"Hi @thomwolf, thanks for reporting.\r\n\r\nIt seems this might be due to the fact that the JSON Dataset builder uses `pyarrow.json` (`paj... | 1,625,657,793,000 | 1,626,774,619,000 | 1,625,760,521,000 | MEMBER | null | ## Describe the bug
Using streaming to iterate on local gzip compressed JSON files raise a file not exist error
## Steps to reproduce the bug
```python
from datasets import load_dataset
streamed_dataset = load_dataset('json', split='train', data_files=data_files, streaming=True)
next(iter(streamed_dataset))... | {
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https://api.github.com/repos/huggingface/datasets/issues/2606 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2606/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2606/comments | https://api.github.com/repos/huggingface/datasets/issues/2606/events | https://github.com/huggingface/datasets/issues/2606 | 938,763,684 | MDU6SXNzdWU5Mzg3NjM2ODQ= | 2,606 | [Metrics] addition of wiki_split metrics | {
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"#take"
] | 1,625,655,364,000 | 1,626,129,271,000 | 1,626,129,271,000 | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
While training the model on sentence split the task in English we require to evaluate the trained model on `Exact Match`, `SARI` and `BLEU` score
like this
![image](https://user-images.githubusercontent.com/26653468/124746876-ff5a3380-df3e-11eb-9a01... | {
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```python
aiohttp.client_exceptions.ClientOSError: [Errno 104] Connection reset by peer
```
This error must trigger a retry instead of directly crashing
Therefore I extended the error type that triggers the retry to be the base aiohttp er... | {
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"Hi !\r\nIf we want something more general, we could either\r\n1. delete the extracted files after the arrow data generation automatically, or \r\n2. delete each extracted file during the arrow generation right after it has been closed.\r\n\r\nSolution 2 is better to save disk space during the arrow generation. Is ... | 1,625,644,576,000 | 1,626,685,698,000 | 1,626,685,698,000 | MEMBER | null | I'm loading a dataset constituted of 44 GB of compressed JSON files.
When loading the dataset with the JSON script, extracting the files create about 200 GB of uncompressed files before creating the 180GB of arrow cache tables
Having a simple way to delete the extracted files after usage (or even better, to strea... | {
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Related to huggingface/transformers#12549 and #502. | {
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"title... | [] | 1,625,591,188,000 | 1,626,099,035,000 | 1,625,662,231,000 | CONTRIBUTOR | null | Fixes #2600
Also I moved the check for `num_proc` larger than dataset size added in #2566 up so that multiprocessing is not used with one process. | {
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https://api.github.com/repos/huggingface/datasets/issues/2600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2600/comments | https://api.github.com/repos/huggingface/datasets/issues/2600/events | https://github.com/huggingface/datasets/issues/2600 | 938,086,745 | MDU6SXNzdWU5MzgwODY3NDU= | 2,600 | Crash when using multiprocessing (`num_proc` > 1) on `filter` and all samples are discarded | {
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] | closed | false | null | [] | null | [] | 1,625,590,405,000 | 1,625,662,231,000 | 1,625,662,231,000 | CONTRIBUTOR | null | ## Describe the bug
If `filter` is applied to a dataset using multiprocessing (`num_proc` > 1) and all sharded datasets are empty afterwards (due to all samples being discarded), the program crashes.
## Steps to reproduce the bug
```python
from datasets import Dataset
data = Dataset.from_dict({'id': [0,1]})
dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/2599 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2599/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2599/comments | https://api.github.com/repos/huggingface/datasets/issues/2599/events | https://github.com/huggingface/datasets/pull/2599 | 937,980,229 | MDExOlB1bGxSZXF1ZXN0Njg0NDQ2MTYx | 2,599 | Update processing.rst with other export formats | {
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https://api.github.com/repos/huggingface/datasets/issues/2598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2598/comments | https://api.github.com/repos/huggingface/datasets/issues/2598/events | https://github.com/huggingface/datasets/issues/2598 | 937,930,632 | MDU6SXNzdWU5Mzc5MzA2MzI= | 2,598 | Unable to download omp dataset | {
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"Hi @erikadistefano , thanks for reporting the issue.\r\n\r\nI have created a Pull Request that should fix it. \r\n\r\nOnce merged into master, feel free to update your installed `datasets` library (either by installing it from our GitHub master branch or waiting until our next release) to be able to load omp datas... | 1,625,580,052,000 | 1,625,662,595,000 | 1,625,662,595,000 | NONE | null | ## Describe the bug
The omp dataset cannot be downloaded because of a DuplicatedKeysError
## Steps to reproduce the bug
from datasets import load_dataset
omp = load_dataset('omp', 'posts_labeled')
print(omp)
## Expected results
This code should download the omp dataset and print the dictionary
## Actual r... | {
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https://api.github.com/repos/huggingface/datasets/issues/2597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2597/comments | https://api.github.com/repos/huggingface/datasets/issues/2597/events | https://github.com/huggingface/datasets/pull/2597 | 937,917,770 | MDExOlB1bGxSZXF1ZXN0Njg0Mzk0MDIz | 2,597 | Remove redundant prepare_module | {
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"@albertvillanova Thanks for the information. I updated it to 1.9.0 and the issue is resolved. Thanks again. "
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---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-8-a7b592d3bca0> in <module>()
1 from datasets import load_dataset, load_metric
2
----> 3 common_voice_train = load_da... | {
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The csv reader raises an error:
```python
/usr/local/lib/python3.7/dist-packages/pandas/io/parsers/readers.py in _refine_defaults_read(dialect, delimiter, delim_whitespace, engine, sep, error_bad_lines, warn_bad_lines, on... | {
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"Hi! I'm transferring this issue over to `datasets`",
"I'm using the datasets concatenate dataset to combine the datasets and then train.\r\ntrain_dataset = concatenate_datasets([dataset1, dataset2, common_voice_train])\r\n\r\n",
"Hi @BirgerMoell.\r\n\r\nYou have several options:\r\n- to set caching to be store... | 1,625,481,799,000 | 1,626,685,699,000 | 1,626,685,699,000 | CONTRIBUTOR | null | I'm training a Swedish Wav2vec2 model on a Linux GPU and having issues that the huggingface cached dataset folder is completely filling up my disk space (I'm training on a dataset of around 500 gb).
The cache folder is 500gb (and now my disk space is full).
Is there a way to toggle caching or set the caching to b... | {
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"Hi ! Thanks for the fix :)\r\n\r\nIf I understand correctly, `OptionalSequence` doesn't have an associated arrow type that we know in advance unlike the other feature types, because it depends on the type of the examples.\r\n\r\nFor example, I tested this and it raises an error:\r\n```python\r\nimport datasets as ... | 1,625,473,165,000 | 1,626,099,130,000 | 1,625,733,615,000 | MEMBER | null | Currently, multilabel metrics are not supported because `predictions` and `references` are defined as `Value("int32")`.
This PR creates a new feature type `OptionalSequence` which can act as either `Value("int32")` or `Sequence(Value("int32"))`, depending on the data passed.
Close #2554. | {
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https://api.github.com/repos/huggingface/datasets/issues/2588 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2588/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2588/comments | https://api.github.com/repos/huggingface/datasets/issues/2588/events | https://github.com/huggingface/datasets/pull/2588 | 936,795,541 | MDExOlB1bGxSZXF1ZXN0NjgzNDQ5Njky | 2,588 | Fix test_is_small_dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/2587 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2587/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2587/comments | https://api.github.com/repos/huggingface/datasets/issues/2587/events | https://github.com/huggingface/datasets/pull/2587 | 936,771,339 | MDExOlB1bGxSZXF1ZXN0NjgzNDI5NjQy | 2,587 | Add aiohttp to tests extras require | {
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Our CI test suite should be exhaustive and test all the library functionalities. | {
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https://api.github.com/repos/huggingface/datasets/issues/2586 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2586/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2586/comments | https://api.github.com/repos/huggingface/datasets/issues/2586/events | https://github.com/huggingface/datasets/pull/2586 | 936,747,588 | MDExOlB1bGxSZXF1ZXN0NjgzNDEwMDU3 | 2,586 | Fix misalignment in SQuAD | {
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"title... | [] | 1,625,467,340,000 | 1,626,099,070,000 | 1,625,663,931,000 | MEMBER | null | Fix misalignment between:
- the answer text and
- the answer_start within the context
by keeping original leading blank spaces in the context.
Fix #2585. | {
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"Hi @mmajurski, thanks for reporting this issue.\r\n\r\nIndeed this misalignment arises because the source dataset context field contains leading blank spaces (and these are counted within the answer_start), while our datasets loading script removes these leading blank spaces.\r\n\r\nI'm going to fix our script so ... | 1,625,413,189,000 | 1,625,663,931,000 | 1,625,663,931,000 | NONE | null | ## Describe the bug
The built in huggingface squad_v2 dataset that you can access via datasets.load_dataset contains mis-alignment between the answers['text'] and the characters in the context at the location specified by answers['answer_start'].
For example:
id = '56d1f453e7d4791d009025bd'
answers = {'text': ['P... | {
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https://api.github.com/repos/huggingface/datasets/issues/2583 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2583/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2583/comments | https://api.github.com/repos/huggingface/datasets/issues/2583/events | https://github.com/huggingface/datasets/issues/2583 | 936,034,976 | MDU6SXNzdWU5MzYwMzQ5NzY= | 2,583 | Error iteration over IterableDataset using Torch DataLoader | {
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"Hi ! This is because you first need to format the dataset for pytorch:\r\n\r\n```python\r\n>>> import torch\r\n>>> from datasets import load_dataset\r\n>>> dataset = load_dataset('oscar', \"unshuffled_deduplicated_en\", split='train', streaming=True)\r\n>>> torch_iterable_dataset = dataset.with_format(\"torch\")\r... | 1,625,255,758,000 | 1,626,771,885,000 | 1,625,528,903,000 | NONE | null | ## Describe the bug
I have an IterableDataset (created using streaming=True) and I am trying to create batches using Torch DataLoader class by passing this IterableDataset to it. This throws error which is pasted below. I can do the same by using Torch IterableDataset. One thing I noticed is that in the former case wh... | {
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https://api.github.com/repos/huggingface/datasets/issues/2582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2582/comments | https://api.github.com/repos/huggingface/datasets/issues/2582/events | https://github.com/huggingface/datasets/pull/2582 | 935,859,104 | MDExOlB1bGxSZXF1ZXN0NjgyNzAzNzg3 | 2,582 | Add skip and take | {
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"@lhoestq looks good. I tried with https://huggingface.co/datasets/vblagoje/wikipedia_snippets_streamed and it worked nicely. I would add more unit tests for edge cases. What happens if the n is larger than the total number of samples? Just to make sure these cases are handled properly. ",
"Yup I'll add the tests... | 1,625,238,619,000 | 1,625,501,200,000 | 1,625,501,199,000 | MEMBER | null | As discussed in https://github.com/huggingface/datasets/pull/2375#discussion_r657084544 I added the `IterableDataset.skip` and `IterableDataset.take` methods that allows to do basic splitting of iterable datasets.
You can create new dataset with the first `n` examples using `IterableDataset.take()`, or you can get a... | {
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I think it makes sense to perform search_batch threaded, so ES can perform search in parallel.
Cheers! | {
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cc: @abhishekkrthakur @thomwolf | {
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https://api.github.com/repos/huggingface/datasets/issues/2578 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2578/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2578/comments | https://api.github.com/repos/huggingface/datasets/issues/2578/events | https://github.com/huggingface/datasets/pull/2578 | 935,187,497 | MDExOlB1bGxSZXF1ZXN0NjgyMTQ0OTY2 | 2,578 | Support Zstandard compressed files | {
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"> What if people want to run some tests without having zstandard ?\r\n> Usually what we do is add a decorator @require_zstandard for example\r\n\r\n@lhoestq I think I'm missing something here...\r\n\r\nTests are a *development* tool (to ensure we deliver a good quality lib), not something we offer to the end users... | 1,625,170,954,000 | 1,628,693,184,000 | 1,625,482,227,000 | MEMBER | null | Close #2572.
cc: @thomwolf | {
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https://api.github.com/repos/huggingface/datasets/issues/2576 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2576/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2576/comments | https://api.github.com/repos/huggingface/datasets/issues/2576/events | https://github.com/huggingface/datasets/pull/2576 | 934,986,761 | MDExOlB1bGxSZXF1ZXN0NjgxOTc5MTA1 | 2,576 | Add mC4 | {
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Thanks a lot to them !
In this PR I added the mC4 dataset builder. It supports 108 languages
You can load it with
```python
from datasets import load_dataset
en_mc4 = load_dataset("mc4", "en")
f... | {
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https://api.github.com/repos/huggingface/datasets/issues/2575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2575/comments | https://api.github.com/repos/huggingface/datasets/issues/2575/events | https://github.com/huggingface/datasets/pull/2575 | 934,876,496 | MDExOlB1bGxSZXF1ZXN0NjgxODg0OTgy | 2,575 | Add C4 | {
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However AllenAI is now hosting the processed C4 dataset in this repo: https://huggingface.co/datasets/allenai/c4
Thanks a lot to them for their amazing work !
In this PR I changed the script to download and prepare ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2574 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2574/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2574/comments | https://api.github.com/repos/huggingface/datasets/issues/2574/events | https://github.com/huggingface/datasets/pull/2574 | 934,632,378 | MDExOlB1bGxSZXF1ZXN0NjgxNjczMzYy | 2,574 | Add streaming in load a dataset docs | {
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"I think the failing test has nothing to do with my PR..."
] | 1,625,064,499,000 | 1,625,198,897,000 | 1,625,198,897,000 | MEMBER | null | Close #2569. | {
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https://api.github.com/repos/huggingface/datasets/issues/2570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2570/comments | https://api.github.com/repos/huggingface/datasets/issues/2570/events | https://github.com/huggingface/datasets/pull/2570 | 933,402,521 | MDExOlB1bGxSZXF1ZXN0NjgwNjEzNzc0 | 2,570 | Minor fix docs format for bertscore | {
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- link to README
- format of KWARGS_DESCRIPTION | {
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https://api.github.com/repos/huggingface/datasets/issues/2569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2569/comments | https://api.github.com/repos/huggingface/datasets/issues/2569/events | https://github.com/huggingface/datasets/issues/2569 | 933,015,797 | MDU6SXNzdWU5MzMwMTU3OTc= | 2,569 | Weights of model checkpoint not initialized for RobertaModel for Bertscore | {
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"Hi @suzyahyah, thanks for reporting.\r\n\r\nThe message you get is indeed not an error message, but a warning coming from Hugging Face `transformers`. The complete warning message is:\r\n```\r\nSome weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.decoder.wei... | 1,624,992,923,000 | 1,625,123,339,000 | 1,625,038,549,000 | NONE | null | When applying bertscore out of the box,
```Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.decoder.weight', 'lm_head.bias', 'lm_head.dense.bias', 'lm_head.layer_norm.bias', 'lm_head.dense.weight', 'lm_head.layer_norm.weight']```
Following the typical ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2568/comments | https://api.github.com/repos/huggingface/datasets/issues/2568/events | https://github.com/huggingface/datasets/pull/2568 | 932,934,795 | MDExOlB1bGxSZXF1ZXN0NjgwMjE5MDU2 | 2,568 | Add interleave_datasets for map-style datasets | {
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Add support for map-style datasets (i.e. `Dataset` objects) in `interleave_datasets`.
It was only supporting iterable datasets (i.e. `IterableDataset` objects).
### Implementation details
It works by concatenating the datasets and then re-order the indices to... | {
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https://api.github.com/repos/huggingface/datasets/issues/2567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2567/comments | https://api.github.com/repos/huggingface/datasets/issues/2567/events | https://github.com/huggingface/datasets/pull/2567 | 932,933,536 | MDExOlB1bGxSZXF1ZXN0NjgwMjE3OTY3 | 2,567 | Add ASR task and new languages to resources | {
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Note: I used the [Papers with Code list](https://www.paperswithcode.com/area/speech/speech-recognition) as inspiration for the ASR subtasks | {
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https://api.github.com/repos/huggingface/datasets/issues/2566 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2566/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2566/comments | https://api.github.com/repos/huggingface/datasets/issues/2566/events | https://github.com/huggingface/datasets/pull/2566 | 932,804,725 | MDExOlB1bGxSZXF1ZXN0NjgwMTA2NzM0 | 2,566 | fix Dataset.map when num_procs > num rows | {
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## Testing notes
To run updated tests:
```sh
pytest tests/test_arrow_dataset.py -k "BaseDatasetTest and test_map_multiprocessing" -s
```
With Python code (to view warning):
```python
from datasets import Dataset
dataset = Dataset.from_dict({"x": ["sample"]})
print(len(dataset))
dataset.map... | {
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https://api.github.com/repos/huggingface/datasets/issues/2565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2565/comments | https://api.github.com/repos/huggingface/datasets/issues/2565/events | https://github.com/huggingface/datasets/pull/2565 | 932,445,439 | MDExOlB1bGxSZXF1ZXN0Njc5Nzg3NTI4 | 2,565 | Inject templates for ASR datasets | {
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"Wait until #2567 is merged so we can benefit from the tagger :)",
"thanks for the feedback @lhoestq! i've added the new language codes and this PR should be ready for a merge :)"
] | 1,624,960,921,000 | 1,625,495,186,000 | 1,625,495,186,000 | MEMBER | null | This PR adds ASR templates for 5 of the most common speech datasets on the Hub, where "common" is defined by the number of models trained on them.
I also fixed a bunch of the tags in the READMEs 😎 | {
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https://api.github.com/repos/huggingface/datasets/issues/2563 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2563/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2563/comments | https://api.github.com/repos/huggingface/datasets/issues/2563/events | https://github.com/huggingface/datasets/issues/2563 | 932,387,639 | MDU6SXNzdWU5MzIzODc2Mzk= | 2,563 | interleave_datasets for map-style datasets | {
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"followers_url": "https://api.git... | null | [] | 1,624,957,044,000 | 1,625,132,013,000 | 1,625,132,013,000 | MEMBER | null | Currently the `interleave_datasets` functions only works for `IterableDataset`.
Let's make it work for map-style `Dataset` objects as well.
It would work the same way: either alternate between the datasets in order or randomly given probabilities specified by the user. | {
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https://api.github.com/repos/huggingface/datasets/issues/2562 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2562/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2562/comments | https://api.github.com/repos/huggingface/datasets/issues/2562/events | https://github.com/huggingface/datasets/pull/2562 | 932,333,436 | MDExOlB1bGxSZXF1ZXN0Njc5NjkyMjQ2 | 2,562 | Minor fix in loading metrics docs | {
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https://api.github.com/repos/huggingface/datasets/issues/2560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2560/comments | https://api.github.com/repos/huggingface/datasets/issues/2560/events | https://github.com/huggingface/datasets/pull/2560 | 932,143,634 | MDExOlB1bGxSZXF1ZXN0Njc5NTMyODk4 | 2,560 | fix Dataset.map when num_procs > num rows | {
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"Hi ! Thanks for fixing this :)\r\n\r\nLooks like you have tons of changes due to code formatting.\r\nWe're using `black` for this, with a custom line length. To run our code formatting, you just need to run\r\n```\r\nmake style\r\n```\r\n\r\nThen for the windows error in the CI, I'm looking into it. It's probably ... | 1,624,933,451,000 | 1,624,978,818,000 | 1,624,978,411,000 | CONTRIBUTOR | null | closes #2470
## Testing notes
To run updated tests:
```sh
pytest tests/test_arrow_dataset.py -k "BaseDatasetTest and test_map_multiprocessing" -s
```
With Python code (to view warning):
```python
from datasets import Dataset
dataset = Dataset.from_dict({"x": ["sample"]})
print(len(dataset))
dataset.map... | {
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https://api.github.com/repos/huggingface/datasets/issues/2558 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2558/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2558/comments | https://api.github.com/repos/huggingface/datasets/issues/2558/events | https://github.com/huggingface/datasets/pull/2558 | 931,736,647 | MDExOlB1bGxSZXF1ZXN0Njc5MTg0Njk1 | 2,558 | Update: WebNLG - update checksums | {
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I also pinned a specific revision so that it doesn't happen again in the future.
Fix https://github.com/huggingface/datasets/issues/2553 | {
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https://api.github.com/repos/huggingface/datasets/issues/2557 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2557/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2557/comments | https://api.github.com/repos/huggingface/datasets/issues/2557/events | https://github.com/huggingface/datasets/pull/2557 | 931,633,823 | MDExOlB1bGxSZXF1ZXN0Njc5MDk4ODg3 | 2,557 | Fix `fever` keys | {
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I fixed it by taking into account the file index as well. | {
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https://api.github.com/repos/huggingface/datasets/issues/2555 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2555/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2555/comments | https://api.github.com/repos/huggingface/datasets/issues/2555/events | https://github.com/huggingface/datasets/pull/2555 | 931,585,485 | MDExOlB1bGxSZXF1ZXN0Njc5MDU4ODM3 | 2,555 | Fix code_search_net keys | {
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"Fix #2552."
] | 1,624,887,623,000 | 1,630,571,083,000 | 1,624,889,435,000 | MEMBER | null | There were duplicate keys in the `code_search_net` dataset, as reported in https://github.com/huggingface/datasets/issues/2552
I fixed the keys (it was an addition of the file and row indices, which was causing collisions)
Fix #2552. | {
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https://api.github.com/repos/huggingface/datasets/issues/2554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2554/comments | https://api.github.com/repos/huggingface/datasets/issues/2554/events | https://github.com/huggingface/datasets/issues/2554 | 931,453,855 | MDU6SXNzdWU5MzE0NTM4NTU= | 2,554 | Multilabel metrics not supported | {
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"Hi @GuillemGSubies, thanks for reporting.\r\n\r\nI have made a PR to fix this issue and allow metrics to be computed also for multilabel classification problems.",
"Looks nice, thank you very much! 🚀 ",
"Sorry for reopening but I just noticed that the `_compute` method for the F1 metric is still not good enou... | 1,624,878,586,000 | 1,634,128,153,000 | 1,625,733,615,000 | NONE | null | When I try to use a metric like F1 macro I get the following error:
```
TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'
```
There is an explicit casting here:
https://github.com/huggingface/datasets/blob/fc79f61cbbcfa0e8c68b28c0a8257f17e768a075/src/datasets/features.py#L... | {
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"Hi ! Thanks for reporting. This is due to the WebNLG repository that got updated today.\r\nI just pushed a fix at #2558 - this shouldn't happen anymore in the future.",
"This is fixed on `master` now :)\r\nWe'll do a new release soon !"
] | 1,624,872,406,000 | 1,624,901,019,000 | 1,624,900,996,000 | NONE | null | Hi! It seems the WebNLG dataset gives a NonMatchingChecksumError.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('web_nlg', name="release_v3.0_en", split="dev")
```
Gives
```
NonMatchingChecksumError: Checksums didn't match for dataset source files:
['h... | {
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"Two questions:\r\n- with `datasets-cli env` we don't have any information on the dataset script version used. Should we give access to this somehow? Either as a note in the Error message or as an argument with the name of the dataset to `datasets-cli env`?\r\n- I don't really understand why the id is duplicated in... | 1,624,871,720,000 | 1,630,937,310,000 | 1,630,571,129,000 | MEMBER | null | ## Describe the bug
Loading `code_search_net` seems not possible at the moment.
## Steps to reproduce the bug
```python
>>> load_dataset('code_search_net')
Downloading: 8.50kB [00:00, 3.09MB/s] ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2551/comments | https://api.github.com/repos/huggingface/datasets/issues/2551/events | https://github.com/huggingface/datasets/pull/2551 | 930,967,978 | MDExOlB1bGxSZXF1ZXN0Njc4NTQzMjg1 | 2,551 | Fix FileSystems documentation | {
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This PR resolves several issues I discovered in the documentation on the `datasets.filesystems` module ([this page](https://huggingface.co/docs/datasets/filesystems.html)).
### What were the issues?
When I originally tried implementing the code examples I faced several bugs attributed to:
-... | {
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https://api.github.com/repos/huggingface/datasets/issues/2550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2550/comments | https://api.github.com/repos/huggingface/datasets/issues/2550/events | https://github.com/huggingface/datasets/issues/2550 | 930,951,287 | MDU6SXNzdWU5MzA5NTEyODc= | 2,550 | Allow for incremental cumulative metric updates in a distributed setup | {
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] | closed | false | null | [] | null | [] | 1,624,806,058,000 | 1,632,663,759,000 | 1,632,663,759,000 | CONTRIBUTOR | null | Currently, using a metric allows for one of the following:
- Per example/batch metrics
- Cumulative metrics over the whole data
What I'd like is to have an efficient way to get cumulative metrics over the examples/batches added so far, in order to display it as part of the progress bar during training/evaluation.
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2549/comments | https://api.github.com/repos/huggingface/datasets/issues/2549/events | https://github.com/huggingface/datasets/issues/2549 | 929,819,093 | MDU6SXNzdWU5Mjk4MTkwOTM= | 2,549 | Handling unlabeled datasets | {
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"Hi @nelson-liu,\r\n\r\nYou can pass the parameter `features` to `load_dataset`: https://huggingface.co/docs/datasets/_modules/datasets/load.html#load_dataset\r\n\r\nIf you look at the code of the MNLI script you referred in your question (https://github.com/huggingface/datasets/blob/master/datasets/multi_nli/multi... | 1,624,595,543,000 | 1,624,655,277,000 | 1,624,655,276,000 | NONE | null | Hi!
Is there a way for datasets to produce unlabeled instances (e.g., the `ClassLabel` can be nullable).
For example, I want to use the MNLI dataset reader ( https://github.com/huggingface/datasets/blob/master/datasets/multi_nli/multi_nli.py ) on a file that doesn't have the `gold_label` field. I tried setting `"... | {
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https://api.github.com/repos/huggingface/datasets/issues/2548 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2548/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2548/comments | https://api.github.com/repos/huggingface/datasets/issues/2548/events | https://github.com/huggingface/datasets/issues/2548 | 929,232,831 | MDU6SXNzdWU5MjkyMzI4MzE= | 2,548 | Field order issue in loading json | {
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"Hi @luyug, thanks for reporting.\r\n\r\nThe good news is that we fixed this issue only 9 days ago: #2507.\r\n\r\nThe patch is already in the master branch of our repository and it will be included in our next `datasets` release version 1.9.0.\r\n\r\nFeel free to reopen the issue if the problem persists."
] | 1,624,541,393,000 | 1,624,545,403,000 | 1,624,545,245,000 | NONE | null | ## Describe the bug
The `load_dataset` function expects columns in alphabetical order when loading json files.
Similar bug was previously reported for csv in #623 and fixed in #684.
## Steps to reproduce the bug
For a json file `j.json`,
```
{"c":321, "a": 1, "b": 2}
```
Running the following,
```
f= data... | {
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I added it and I also filled a few other empty sections. | {
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cc: @VictorSanh. | {
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https://api.github.com/repos/huggingface/datasets/issues/2544 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2544/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2544/comments | https://api.github.com/repos/huggingface/datasets/issues/2544/events | https://github.com/huggingface/datasets/pull/2544 | 928,900,827 | MDExOlB1bGxSZXF1ZXN0Njc2ODM1MjYz | 2,544 | Fix logging levels | {
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Close #2543.
cc: @stas00 | {
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https://api.github.com/repos/huggingface/datasets/issues/2543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2543/comments | https://api.github.com/repos/huggingface/datasets/issues/2543/events | https://github.com/huggingface/datasets/issues/2543 | 928,571,915 | MDU6SXNzdWU5Mjg1NzE5MTU= | 2,543 | switching some low-level log.info's to log.debug? | {
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"Hi @stas00, thanks for pointing out this issue with logging.\r\n\r\nI agree that `datasets` can sometimes be too verbose... I can create a PR and we could discuss there the choice of the log levels for different parts of the code."
] | 1,624,476,415,000 | 1,624,628,419,000 | 1,624,628,419,000 | CONTRIBUTOR | null | In https://github.com/huggingface/transformers/pull/12276 we are now changing the examples to have `datasets` on the same log level as `transformers`, so that one setting can do a consistent logging across all involved components.
The trouble is that now we get a ton of these:
```
06/23/2021 12:15:31 - INFO - da... | {
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"very much related: https://github.com/huggingface/datasets/pull/2333",
"Hi @VictorSanh, thank you for reporting this issue with duplicated keys.\r\n\r\n- The issue with \"adversarial_qa\" was fixed 23 days ago: #2433. Current version of `datasets` (1.8.0) includes the patch.\r\n- I am investigating the issue wit... | 1,624,473,676,000 | 1,624,657,805,000 | 1,624,546,628,000 | MEMBER | null | ## Describe the bug
Failure to generate the datasets (`drop` and subset `adversarialQA` from `adversarial_qa`) because of duplicate keys.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("drop")
load_dataset("adversarial_qa", "adversarialQA")
```
## Expected results
Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2541/comments | https://api.github.com/repos/huggingface/datasets/issues/2541/events | https://github.com/huggingface/datasets/pull/2541 | 928,529,078 | MDExOlB1bGxSZXF1ZXN0Njc2NTIwNDgx | 2,541 | update discofuse link cc @ekQ | {
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"The CI is failing because the dataset tags for `discofuse` are missing. I'm merging this PR since this is unrelated to this PR, but feel free to open another PR to add the tags here if you have some time:\r\n\r\nhttps://github.com/huggingface/datasets/blob/19408f9fab85c79b966085574cd2da3b90959179/datasets/discofus... | 1,624,472,698,000 | 1,624,890,891,000 | 1,624,890,890,000 | MEMBER | null | Updating the discofuse link: https://github.com/google-research-datasets/discofuse/commit/fd4b120cb3dd19a417e7f3b5432010b574b5eeee | {
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https://api.github.com/repos/huggingface/datasets/issues/2540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2540/comments | https://api.github.com/repos/huggingface/datasets/issues/2540/events | https://github.com/huggingface/datasets/pull/2540 | 928,433,892 | MDExOlB1bGxSZXF1ZXN0Njc2NDM5NTM1 | 2,540 | Remove task templates if required features are removed during `Dataset.map` | {
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```python
from datasets import load_dataset
# `yelp_polarity` comes with a `Tex... | {
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