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https://api.github.com/repos/huggingface/datasets/issues/2673 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2673/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2673/comments | https://api.github.com/repos/huggingface/datasets/issues/2673/events | https://github.com/huggingface/datasets/pull/2673 | 947,300,008 | MDExOlB1bGxSZXF1ZXN0NjkyMzAxMTgw | 2,673 | Fix potential DuplicatedKeysError in SQuAD | {
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- Fix potential DiplicatedKeysError by ensuring keys are unique.
- Align examples in the docs with SQuAD code.
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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https://api.github.com/repos/huggingface/datasets/issues/2671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2671/comments | https://api.github.com/repos/huggingface/datasets/issues/2671/events | https://github.com/huggingface/datasets/pull/2671 | 947,273,875 | MDExOlB1bGxSZXF1ZXN0NjkyMjc5MTM0 | 2,671 | Mesinesp development and training data sets have been added. | {
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"body": "It'll be new pull request with new commits.",
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"issue_url": "https://api.github.com/repos/huggingface/dataset... | 2021-07-19T05:14:38Z | 2021-07-19T07:32:28Z | 2021-07-19T06:45:50Z | NONE | null | null | null | https://zenodo.org/search?page=1&size=20&q=mesinesp, Mesinesp has Medical Semantic Indexed records in Spanish. Indexing is done using DeCS codes, a sort of Spanish equivalent to MeSH terms.
The Mesinesp (Spanish BioASQ track, see https://temu.bsc.es/mesinesp) development set has a total of 750 records.
The Mesinesp ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2672 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2672/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2672/comments | https://api.github.com/repos/huggingface/datasets/issues/2672/events | https://github.com/huggingface/datasets/pull/2672 | 947,294,605 | MDExOlB1bGxSZXF1ZXN0NjkyMjk2NDQ4 | 2,672 | Fix potential DuplicatedKeysError in LibriSpeech | {
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- Fix unnecessary path join.
- 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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https://api.github.com/repos/huggingface/datasets/issues/2674 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2674/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2674/comments | https://api.github.com/repos/huggingface/datasets/issues/2674/events | https://github.com/huggingface/datasets/pull/2674 | 947,338,202 | MDExOlB1bGxSZXF1ZXN0NjkyMzMzODU3 | 2,674 | Fix sacrebleu parameter name | {
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- Fix parameter name: `smooth` to `smooth_method`.
- Improve kwargs description.
- Align docs on using a metric.
- Add example of passing additional arguments in using metrics.
Related to #2669. | {
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https://api.github.com/repos/huggingface/datasets/issues/2670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2670/comments | https://api.github.com/repos/huggingface/datasets/issues/2670/events | https://github.com/huggingface/datasets/issues/2670 | 947,120,709 | MDU6SXNzdWU5NDcxMjA3MDk= | 2,670 | Using sharding to parallelize indexing | {
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} | **Is your feature request related to a problem? Please describe.**
Creating an elasticsearch index on large dataset could be quite long and cannot be parallelized on shard (the index creation is colliding)
**Describe the solution you'd like**
When working on dataset shards, if an index already exists, its mapping ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2668/comments | https://api.github.com/repos/huggingface/datasets/issues/2668/events | https://github.com/huggingface/datasets/pull/2668 | 946,867,622 | MDExOlB1bGxSZXF1ZXN0NjkxOTY1MTY1 | 2,668 | Add Russian SuperGLUE | {
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"body": "Added the missing label classes and their explanations (to the best of my understanding)",
"created_at": "2021-07-26T20:25:03Z",
"html_url": "https://github.com/huggingface/datasets/pull/2668#issuecomment-887002698",
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"issue_url... | 2021-07-17T17:41:28Z | 2021-07-29T11:50:31Z | 2021-07-29T11:50:31Z | CONTRIBUTOR | null | null | null | Hi,
This adds the [Russian SuperGLUE](https://russiansuperglue.com/) dataset. For the most part I reused the code for the original SuperGLUE, although there are some relatively minor differences in the structure that I accounted for. | {
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https://api.github.com/repos/huggingface/datasets/issues/2669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2669/comments | https://api.github.com/repos/huggingface/datasets/issues/2669/events | https://github.com/huggingface/datasets/issues/2669 | 946,982,998 | MDU6SXNzdWU5NDY5ODI5OTg= | 2,669 | Metric kwargs are not passed to underlying external metric f1_score | {
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"body": "Hi @BramVanroy, thanks for reporting.\r\n\r\nFirst, note that `\"min\"` is not an allowed value for `average`. According to scikit-learn [documentation](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html), `average` can only take the va... | 2021-07-18T08:32:31Z | 2021-07-18T18:36:05Z | 2021-07-18T11:19:04Z | CONTRIBUTOR | null | null | {
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} | ## Describe the bug
When I want to use F1 score with average="min", this keyword argument does not seem to be passed through to the underlying sklearn metric. This is evident because [sklearn](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html) throws an error telling me so.
## Steps to... | {
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"body": "The current CI failure is due to modifications in the dataset script.",
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"html_url": "https://github.com/huggingface/datasets/pull/2667#issuecomment-882045316",
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https://api.github.com/repos/huggingface/datasets/issues/2666 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2666/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2666/comments | https://api.github.com/repos/huggingface/datasets/issues/2666/events | https://github.com/huggingface/datasets/pull/2666 | 946,825,140 | MDExOlB1bGxSZXF1ZXN0NjkxOTMzMDM1 | 2,666 | Adds CodeClippy dataset [WIP] | {
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https://the-eye.eu/public/AI/training_data/code_clippy_data/ | {
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https://api.github.com/repos/huggingface/datasets/issues/2665 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2665/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2665/comments | https://api.github.com/repos/huggingface/datasets/issues/2665/events | https://github.com/huggingface/datasets/pull/2665 | 946,822,036 | MDExOlB1bGxSZXF1ZXN0NjkxOTMwNjky | 2,665 | Adds APPS dataset to the hub [WIP] | {
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"body": "Thanks for your contribution, @arampacha. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create t... | 2021-07-17T13:13:17Z | 2022-10-03T09:38:10Z | 2022-10-03T09:38:10Z | NONE | null | null | null | A loading script for [APPS dataset](https://github.com/hendrycks/apps) | {
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https://api.github.com/repos/huggingface/datasets/issues/2663 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2663/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2663/comments | https://api.github.com/repos/huggingface/datasets/issues/2663/events | https://github.com/huggingface/datasets/issues/2663 | 946,552,273 | MDU6SXNzdWU5NDY1NTIyNzM= | 2,663 | [`to_json`] add multi-proc sharding support | {
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"body": "Hi @stas00, \r\nI want to work on this issue and I was thinking why don't we use `imap` [in this loop](https://github.com/huggingface/datasets/blob/440b14d0dd428ae1b25881aa72ba7bbb8ad9ff84/src/datasets/io/json.py#L99)? This way, using offset (which is being us... | 2021-07-16T19:41:50Z | 2021-09-13T13:56:37Z | 2021-09-13T13:56:37Z | CONTRIBUTOR | null | null | {
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I implemented sharded saving, which is much much faster - but the tqdm bars all overwrite each other, so it's hard to make sense of the progress, so if possible ideally this multi-proc support could be implemented internally i... | {
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https://api.github.com/repos/huggingface/datasets/issues/2662 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2662/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2662/comments | https://api.github.com/repos/huggingface/datasets/issues/2662/events | https://github.com/huggingface/datasets/pull/2662 | 946,470,815 | MDExOlB1bGxSZXF1ZXN0NjkxNjM5MjU5 | 2,662 | Load Dataset from the Hub (NO DATASET SCRIPT) | {
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"body": "This is ready for review now :)\r\n\r\nI would love to have some feedback on the changes in load.py @albertvillanova. There are many changes so if you have questions let me know, especially on the `resolve_data_files` functions and on the changes in `prepare_module... | 2021-07-16T17:21:58Z | 2021-08-25T14:53:01Z | 2021-08-25T14:18:08Z | MEMBER | null | null | null | ## Load the data from any Dataset repository on the Hub
This PR adds support for loading datasets from any dataset repository on the hub, without requiring any dataset script.
As a user it's now possible to create a repo and upload some csv/json/text/parquet files, and then be able to load the data in one line. H... | {
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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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"body": "@lhoestq This one has been open for a while. Could you please take a look?",
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"issue_url": "https://a... | 2021-07-16T13:53:33Z | 2021-09-06T14:12:23Z | 2021-09-06T14:12:23Z | COLLABORATOR | null | null | 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/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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"body": "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 {\"re... | 2021-07-16T16:43:21Z | 2021-08-04T17:03:53Z | 2021-08-04T17:03:53Z | MEMBER | null | null | 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/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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} | When doing `load_dataset("csv", sep=None)`, the `sep` passed to `pd.read_csv` is still the default `sep=","` instead, which makes it impossible to make the csv loader infer the separator.
Related to https://github.com/huggingface/datasets/pull/2656
cc @SBrandeis | {
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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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} | While using `to_json` 2 things came to mind that would have made the experience easier on the user:
1. Could we have a `desc` arg for the tqdm use and a fallback to just `to_json` so that it'd be clear to the user what's happening? Surely, one can just print the description before calling json, but I thought perhaps... | null | {
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"body": "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 ... | 2021-07-15T14:09:06Z | 2023-09-24T09:56:44Z | 2021-07-16T10:23:26Z | CONTRIBUTOR | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/2655 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2655/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2655/comments | https://api.github.com/repos/huggingface/datasets/issues/2655/events | https://github.com/huggingface/datasets/issues/2655 | 945,382,723 | MDU6SXNzdWU5NDUzODI3MjM= | 2,655 | Allow the selection of multiple columns at once | {
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"body": "Hi! I was looking into this and hope you can clarify a point. Your my_dataset variable would be of type DatasetDict which means the alternative you've described (dict comprehension) is what makes sense. \r\nIs there a reason why you wouldn't want to convert my_datase... | 2021-07-15T13:30:45Z | 2024-01-09T15:11:27Z | 2024-01-09T07:46:28Z | CONTRIBUTOR | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
Similar to pandas, it would be great if we could select multiple columns at once.
**Describe the solution you'd like**
```python
my_dataset = ... # Has columns ['idx', 'sentence', 'label']
idx, label = my_dataset[['idx', 'label']]
```
**... | {
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https://api.github.com/repos/huggingface/datasets/issues/2654 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2654/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2654/comments | https://api.github.com/repos/huggingface/datasets/issues/2654/events | https://github.com/huggingface/datasets/issues/2654 | 945,167,231 | MDU6SXNzdWU5NDUxNjcyMzE= | 2,654 | Give a user feedback if the dataset he loads is streamable or not | {
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} | **Is your feature request related to a problem? Please describe.**
I would love to know if a `dataset` is with the current implementation streamable or not.
**Describe the solution you'd like**
We could show a warning when a dataset is loaded with `load_dataset('...',streaming=True)` when its lot streamable, e.g.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2653 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2653/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2653/comments | https://api.github.com/repos/huggingface/datasets/issues/2653/events | https://github.com/huggingface/datasets/issues/2653 | 945,102,321 | MDU6SXNzdWU5NDUxMDIzMjE= | 2,653 | Add SD task for SUPERB | {
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"body": "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: http... | 2021-07-15T07:51:40Z | 2021-08-04T17:03:52Z | 2021-08-04T17:03:52Z | MEMBER | null | null | {
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} | 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/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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"body": "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```\r\nEDIT: now you have to use `disable_progress_bar ... | 2021-07-14T21:06:51Z | 2022-07-08T14:51:57Z | 2021-07-15T03:41:35Z | NONE | null | null | {
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} | ## 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/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/2650 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2650/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2650/comments | https://api.github.com/repos/huggingface/datasets/issues/2650/events | https://github.com/huggingface/datasets/issues/2650 | 944,672,565 | MDU6SXNzdWU5NDQ2NzI1NjU= | 2,650 | [load_dataset] shard and parallelize the process | {
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"body": "I need the same feature for distributed training",
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"issue_url": "https://api.github.com/repos/huggingface/... | 2021-07-14T18:04:58Z | 2023-11-28T19:11:41Z | 2023-11-28T19:11:40Z | CONTRIBUTOR | null | null | {
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} | - Some huge datasets take forever to build the first time. (e.g. oscar/en) as it's done in a single cpu core.
- If the build crashes, everything done up to that point gets lost
Request: Shard the build over multiple arrow files, which would enable:
- much faster build by parallelizing the build process
- if the p... | {
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https://api.github.com/repos/huggingface/datasets/issues/2649 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2649/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2649/comments | https://api.github.com/repos/huggingface/datasets/issues/2649/events | https://github.com/huggingface/datasets/issues/2649 | 944,651,229 | MDU6SXNzdWU5NDQ2NTEyMjk= | 2,649 | adding progress bar / ETA for `load_dataset` | {
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"body": "Is this done now? I see progress bars when using `load_dataset`.",
"created_at": "2023-03-24T19:15:43Z",
"html_url": "https://github.com/huggingface/datasets/issues/2649#issuecomment-1483294253",
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"issue_url": "https://api.github.com/... | 2021-07-14T17:34:39Z | 2023-03-27T10:32:49Z | null | CONTRIBUTOR | null | null | {
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} | Please consider:
```
Downloading and preparing dataset oscar/unshuffled_deduplicated_en (download: 462.40 GiB, generated: 1.18 TiB, post-processed: Unknown size, total: 1.63 TiB) to cache/oscar/unshuffled_deduplicated_en/1.0.0/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2...
HF google storage unre... | null | {
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"author_association": "CONTRIBUTOR",
"body": "#take",
"created_at": "2021-07-14T14:26:01Z",
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} | ## Describe:
For getting simple sentences from complex sentence there are dataset and task like wiki_split that is available in hugging face datasets. This web_split is a very similar dataset. There some research paper which states that by combining these two datasets we if we train the model it will yield better resu... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2647/comments | https://api.github.com/repos/huggingface/datasets/issues/2647/events | https://github.com/huggingface/datasets/pull/2647 | 944,424,941 | MDExOlB1bGxSZXF1ZXN0Njg5OTExMzky | 2,647 | Fix anchor in README | {
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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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{
"author_association": "MEMBER",
"body": "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 ?",
"created_at": "2021-07-15T09:27:06Z",
"html_url": "https://github.com/huggingface/datasets/issues/2645#issuecomment-880542867",
"id": ... | 2021-07-14T12:23:53Z | 2021-07-15T09:34:02Z | 2021-07-15T09:34:02Z | NONE | null | null | {
"completed": 0,
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} | ## 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/2646 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2646/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2646/comments | https://api.github.com/repos/huggingface/datasets/issues/2646/events | https://github.com/huggingface/datasets/issues/2646 | 944,379,954 | MDU6SXNzdWU5NDQzNzk5NTQ= | 2,646 | downloading of yahoo_answers_topics dataset failed | {
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{
"author_association": "MEMBER",
"body": "Hi ! I just tested and it worked fine today for me.\r\n\r\nI think this is because the dataset is stored on Google Drive which has a quota limit for the number of downloads per day, see this similar issue https://github.com/huggingface/datasets/issues/996 \r\n\r\nF... | 2021-07-14T12:31:05Z | 2022-08-04T08:28:24Z | 2022-08-04T08:28:24Z | NONE | null | null | {
"completed": 0,
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} | ## Describe the bug
I get an error datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files when I try to download the yahoo_answers_topics dataset
## Steps to reproduce the bug
self.dataset = load_dataset(
'yahoo_answers_topics', cache_dir=self.config... | {
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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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{
"author_association": "MEMBER",
"body": "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.",
"created_at": "2021-07-15T09:30:10Z",
"html_url": "https://github.com/huggingface/datasets/issues/264... | 2021-07-14T09:58:19Z | 2021-07-26T14:55:15Z | 2021-07-26T14:55:15Z | MEMBER | null | null | {
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} | ## 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/2643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2643/comments | https://api.github.com/repos/huggingface/datasets/issues/2643/events | https://github.com/huggingface/datasets/issues/2643 | 944,220,273 | MDU6SXNzdWU5NDQyMjAyNzM= | 2,643 | Enum used in map functions will raise a RecursionError with dill. | {
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{
"author_association": "NONE",
"body": "I'm running into this as well. (Thank you so much for reporting @jorgeecardona — was staring at this massive stack trace and unsure what exactly was wrong!)",
"created_at": "2021-08-09T21:50:13Z",
"html_url": "https://github.com/huggingface/datasets/issues/26... | 2021-07-14T09:16:08Z | 2021-11-02T09:51:11Z | null | NONE | null | null | {
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} | ## Describe the bug
Enums used in functions pass to `map` will fail at pickling with a maximum recursion exception as described here: https://github.com/uqfoundation/dill/issues/250#issuecomment-852566284
In my particular case, I use an enum to define an argument with fixed options using the `TraininigArguments` ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2641 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2641/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2641/comments | https://api.github.com/repos/huggingface/datasets/issues/2641/events | https://github.com/huggingface/datasets/issues/2641 | 943,838,085 | MDU6SXNzdWU5NDM4MzgwODU= | 2,641 | load_dataset("financial_phrasebank") NonMatchingChecksumError | {
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"author_association": "NONE",
"body": "Hi! It's probably because this dataset is stored on google drive and it has a per day quota limit. It should work if you retry, I was able to initiate the download.\r\n\r\nSimilar issue [here](https://github.com/huggingface/datasets/issues/2646)",
"created_at": "... | 2021-07-13T21:21:49Z | 2022-08-04T08:30:08Z | 2022-08-04T08:30:08Z | NONE | null | null | {
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} | ## Describe the bug
Attempting to download the financial_phrasebank dataset results in a NonMatchingChecksumError
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("financial_phrasebank", 'sentences_allagree')
```
## Expected results
I expect to see the financi... | {
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https://api.github.com/repos/huggingface/datasets/issues/2642 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2642/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2642/comments | https://api.github.com/repos/huggingface/datasets/issues/2642/events | https://github.com/huggingface/datasets/issues/2642 | 944,175,697 | MDU6SXNzdWU5NDQxNzU2OTc= | 2,642 | Support multi-worker with streaming dataset (IterableDataset). | {
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"body": "Hi ! This is a great idea :)\r\nI think we could have something similar to what we have in `datasets.Dataset.map`, i.e. a `num_proc` parameter that tells how many processes to spawn to parallelize the data processing. \r\n\r\nRegarding AUTOTUNE, this could be a nic... | 2021-07-14T08:22:58Z | 2024-05-03T10:11:04Z | null | CONTRIBUTOR | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
The current `.map` does not support multi-process, CPU can become bottleneck if the pre-processing is complex (e.g. t5 span masking).
**Describe the solution you'd like**
Ideally `.map` should support multi-worker like tfds, with `AUTOTUNE`.
**D... | null | {
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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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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/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/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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"body": "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... | 2021-07-13T14:37:06Z | 2021-07-16T15:59:32Z | 2021-07-16T15:59:31Z | MEMBER | null | null | 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/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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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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"body": "Awesome!",
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"node_id": "M... | 2021-07-12T17:41:03Z | 2021-07-13T15:44:28Z | 2021-07-13T15:28:16Z | CONTRIBUTOR | null | null | 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/2630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2630/comments | https://api.github.com/repos/huggingface/datasets/issues/2630/events | https://github.com/huggingface/datasets/issues/2630 | 942,102,956 | MDU6SXNzdWU5NDIxMDI5NTY= | 2,630 | Progress bars are not properly rendered in Jupyter notebook | {
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"body": "To add my experience when trying to debug this issue:\r\n\r\nSeems like previously the workaround given [here](https://github.com/tqdm/tqdm/issues/485#issuecomment-473338308) worked around this issue. But with the latest version of jupyter/tqdm I still get terminal w... | 2021-07-12T14:07:13Z | 2022-02-03T15:55:33Z | 2022-02-03T15:55:33Z | MEMBER | null | null | {
"completed": 0,
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} | ## Describe the bug
The progress bars are not Jupyter widgets; regular progress bars appear (like in a terminal).
## Steps to reproduce the bug
```python
ds.map(tokenize, num_proc=10)
```
## Expected results
Jupyter widgets displaying the progress bars.
## Actual results
Simple plane progress bars.
cc... | {
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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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"body": "Sure @stas00, it is still a draft pull request. :)",
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cc: @stas00, @thomwolf, @BirgerMoell | {
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https://api.github.com/repos/huggingface/datasets/issues/2629 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2629/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2629/comments | https://api.github.com/repos/huggingface/datasets/issues/2629/events | https://github.com/huggingface/datasets/issues/2629 | 941,819,205 | MDU6SXNzdWU5NDE4MTkyMDU= | 2,629 | Load datasets from the Hub without requiring a dataset script | {
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"body": "This is so cool, let us know if we can help with anything on the hub side (@Pierrci @elishowk) 🎉 ",
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} | 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/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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{
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```
[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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"body": "Looks all good to me thanks :)\r\nJust did some minor corrections in the docstring",
"created_at": "2021-07-12T17:59:08Z",
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"issue_url": "https:/... | 2021-07-10T14:51:50Z | 2021-07-14T14:28:13Z | 2021-07-12T22:34:31Z | CONTRIBUTOR | null | null | 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/2622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2622/comments | https://api.github.com/repos/huggingface/datasets/issues/2622/events | https://github.com/huggingface/datasets/issues/2622 | 941,127,785 | MDU6SXNzdWU5NDExMjc3ODU= | 2,622 | Integration with AugLy | {
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"body": "Hi,\r\n\r\nyou can define your own custom formatting with `Dataset.set_transform()` and then run the tokenizer with the batches of augmented data as follows:\r\n```python\r\ndset = load_dataset(\"imdb\", split=\"train\") # Let's say we are working with the I... | 2021-07-10T00:03:09Z | 2023-07-20T13:18:48Z | 2023-07-20T13:18:47Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | **Is your feature request related to a problem? Please describe.**
Facebook recently launched a library, [AugLy](https://github.com/facebookresearch/AugLy) , that has a unified API for augmentations for image, video and text.
It would be pretty exciting to have it hooked up to HF libraries so that we can make NLP m... | {
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https://api.github.com/repos/huggingface/datasets/issues/2619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2619/comments | https://api.github.com/repos/huggingface/datasets/issues/2619/events | https://github.com/huggingface/datasets/pull/2619 | 940,858,236 | MDExOlB1bGxSZXF1ZXN0Njg2ODY3NDA4 | 2,619 | Add ASR task for SUPERB | {
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"body": "Wait until #2620 is merged before pushing the README tags in this PR",
"created_at": "2021-07-12T12:28:06Z",
"html_url": "https://github.com/huggingface/datasets/pull/2619#issuecomment-878238274",
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"issue_url": "https://api.github.co... | 2021-07-09T15:19:45Z | 2021-07-15T08:55:58Z | 2021-07-13T12:40:18Z | MEMBER | null | null | 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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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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"body": "Are there any `task_categories:automatic-speech-recognition` dataset for which we should update the tags ?",
"created_at": "2021-07-12T17:32:27Z",
"html_url": "https://github.com/huggingface/datasets/pull/2620#issuecomment-878462273",
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... | 2021-07-09T16:07:29Z | 2021-07-12T18:32:59Z | 2021-07-12T17:32:02Z | MEMBER | null | null | 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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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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"body": "Does this mean the `FileNotFoundError` that avoids infinite loop can be removed?",
"created_at": "2021-07-12T01:05:29Z",
"html_url": "https://github.com/huggingface/datasets/pull/2621#issuecomment-877898223",
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"issue_url": "htt... | 2021-07-09T16:39:53Z | 2021-07-16T15:28:12Z | 2021-07-16T15:28:11Z | MEMBER | null | null | 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/2617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2617/comments | https://api.github.com/repos/huggingface/datasets/issues/2617/events | https://github.com/huggingface/datasets/pull/2617 | 940,846,847 | MDExOlB1bGxSZXF1ZXN0Njg2ODU3NzQz | 2,617 | Fix missing EOL issue in to_json for old versions of pandas | {
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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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https://api.github.com/repos/huggingface/datasets/issues/2618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2618/comments | https://api.github.com/repos/huggingface/datasets/issues/2618/events | https://github.com/huggingface/datasets/issues/2618 | 940,852,640 | MDU6SXNzdWU5NDA4NTI2NDA= | 2,618 | `filelock.py` Error | {
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"body": "Hi @liyucheng09, thanks for reporting.\r\n\r\nApparently this issue has to do with your environment setup. One question: is your data in an NFS share? Some people have reported this error when using `fcntl` to write to an NFS share... If this is the case, then it m... | 2021-07-09T15:12:49Z | 2024-06-21T06:14:07Z | 2023-11-23T19:06:19Z | NONE | null | null | {
"completed": 0,
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} | ## Describe the bug
It seems that the `filelock.py` went error.
```
>>> ds=load_dataset('xsum')
^CTraceback (most recent call last):
File "/user/HS502/yl02706/.conda/envs/lyc/lib/python3.6/site-packages/datasets/utils/filelock.py", line 402, in _acquire
fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
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"body": "Thanks for reporting @TevenLeScao! I'm having a look...",
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"issue_url": "https://api.github.com/repos/hug... | 2021-07-09T14:02:05Z | 2021-07-09T15:29:07Z | 2021-07-09T15:28:33Z | CONTRIBUTOR | null | null | {
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} | ## 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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https://api.github.com/repos/huggingface/datasets/issues/2616 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2616/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2616/comments | https://api.github.com/repos/huggingface/datasets/issues/2616/events | https://github.com/huggingface/datasets/pull/2616 | 940,799,038 | MDExOlB1bGxSZXF1ZXN0Njg2ODE3NjYz | 2,616 | Support remote data files | {
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"body": "@lhoestq maybe we could also use (if available) the ETag of the remote file in `create_config_id`?",
"created_at": "2021-07-09T14:09:26Z",
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"issu... | 2021-07-09T14:07:38Z | 2021-07-09T16:13:41Z | 2021-07-09T16:13:41Z | MEMBER | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/2613 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2613/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2613/comments | https://api.github.com/repos/huggingface/datasets/issues/2613/events | https://github.com/huggingface/datasets/pull/2613 | 940,759,852 | MDExOlB1bGxSZXF1ZXN0Njg2Nzg0MzY0 | 2,613 | Use ndarray.item instead of ndarray.tolist | {
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Judging from the `numpy` docs, `ndarray.item` is closer to what we want: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.item.html#nump... | {
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"body": "I opened an issue on the `sklearn` repo to understand why `numpy.float64` is the default: https://github.com/scikit-learn/scikit-learn/discussions/20490",
"created_at": "2021-07-09T10:02:09Z",
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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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"body": "Finally, I'm splitting this PR.",
"created_at": "2021-07-09T08:54:21Z",
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"issue_url": "https://api.github.com/repos/huggingface/datasets/issues/2... | 2021-07-08T08:38:04Z | 2021-07-12T14:13:16Z | 2021-07-09T16:42:08Z | MEMBER | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/2608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2608/comments | https://api.github.com/repos/huggingface/datasets/issues/2608/events | https://github.com/huggingface/datasets/pull/2608 | 938,897,626 | MDExOlB1bGxSZXF1ZXN0Njg1MjAwMDYw | 2,608 | Support streaming JSON files | {
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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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"body": "Updating to pyarrow-4.0.1 didn't fix the issue",
"created_at": "2021-07-07T11:37:54Z",
"html_url": "https://github.com/huggingface/datasets/issues/2607#issuecomment-875531306",
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"completed": 0,
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} | ## 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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"body": "#take",
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} | **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
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"body": "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 t... | 2021-07-07T07:56:16Z | 2021-07-19T09:08:18Z | 2021-07-19T09:08:18Z | MEMBER | null | null | {
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} | 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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```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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Related to huggingface/transformers#12549 and #502. | {
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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/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/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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} | ## 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/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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"body": "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 un... | 2021-07-06T14:00:52Z | 2021-07-07T12:56:35Z | 2021-07-07T12:56:35Z | NONE | null | null | {
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} | ## 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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https://api.github.com/repos/huggingface/datasets/issues/2596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2596/comments | https://api.github.com/repos/huggingface/datasets/issues/2596/events | https://github.com/huggingface/datasets/issues/2596 | 937,598,914 | MDU6SXNzdWU5Mzc1OTg5MTQ= | 2,596 | Transformer Class on dataset | {
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{
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"body": "Hi ! Do you have an example in mind that shows how this could be useful ?",
"created_at": "2021-07-06T08:39:29Z",
"html_url": "https://github.com/huggingface/datasets/issues/2596#issuecomment-874573977",
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"issue_url": "https://api.gi... | 2021-07-06T07:27:15Z | 2022-11-02T14:26:09Z | 2022-11-02T14:26:09Z | NONE | null | null | {
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} | Just wondering if you have intenttion to create
TransformerClass :
dataset --> dataset
and make determnistic transformation (ie not fit).
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https://api.github.com/repos/huggingface/datasets/issues/2595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2595/comments | https://api.github.com/repos/huggingface/datasets/issues/2595/events | https://github.com/huggingface/datasets/issues/2595 | 937,483,120 | MDU6SXNzdWU5Mzc0ODMxMjA= | 2,595 | ModuleNotFoundError: No module named 'datasets.tasks' while importing common voice datasets | {
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{
"author_association": "MEMBER",
"body": "Hi @profsatwinder.\r\n\r\nIt looks like you are using an old version of `datasets`. Please update it with `pip install -U datasets` and indicate if the problem persists.",
"created_at": "2021-07-06T05:42:20Z",
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} | Error traceback:
---------------------------------------------------------------------------
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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https://api.github.com/repos/huggingface/datasets/issues/2593 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2593/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2593/comments | https://api.github.com/repos/huggingface/datasets/issues/2593/events | https://github.com/huggingface/datasets/pull/2593 | 937,242,137 | MDExOlB1bGxSZXF1ZXN0NjgzODMwMjcy | 2,593 | Support pandas 1.3.0 read_csv | {
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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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https://api.github.com/repos/huggingface/datasets/issues/2592 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2592/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2592/comments | https://api.github.com/repos/huggingface/datasets/issues/2592/events | https://github.com/huggingface/datasets/pull/2592 | 937,060,559 | MDExOlB1bGxSZXF1ZXN0NjgzNjc2MjA4 | 2,592 | Add c4.noclean infos | {
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https://api.github.com/repos/huggingface/datasets/issues/2590 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2590/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2590/comments | https://api.github.com/repos/huggingface/datasets/issues/2590/events | https://github.com/huggingface/datasets/pull/2590 | 936,954,348 | MDExOlB1bGxSZXF1ZXN0NjgzNTg1MDg2 | 2,590 | Add language tags | {
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https://api.github.com/repos/huggingface/datasets/issues/2591 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2591/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2591/comments | https://api.github.com/repos/huggingface/datasets/issues/2591/events | https://github.com/huggingface/datasets/issues/2591 | 936,957,975 | MDU6SXNzdWU5MzY5NTc5NzU= | 2,591 | Cached dataset overflowing disk space | {
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{
"author_association": "MEMBER",
"body": "Hi! I'm transferring this issue over to `datasets`",
"created_at": "2021-07-05T10:44:39Z",
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"issue_url": "https://api.github.com/repos/huggingf... | 2021-07-05T10:43:19Z | 2021-07-19T09:08:19Z | 2021-07-19T09:08:19Z | CONTRIBUTOR | null | null | {
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} | 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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https://api.github.com/repos/huggingface/datasets/issues/2589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2589/comments | https://api.github.com/repos/huggingface/datasets/issues/2589/events | https://github.com/huggingface/datasets/pull/2589 | 936,825,060 | MDExOlB1bGxSZXF1ZXN0NjgzNDc0OTQ0 | 2,589 | Support multilabel metrics | {
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"body": "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 ra... | 2021-07-05T08:19:25Z | 2022-07-29T10:56:25Z | 2021-07-08T08:40:15Z | MEMBER | null | null | 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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- 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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"body": "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 bl... | 2021-07-04T15:39:49Z | 2021-07-07T13:18:51Z | 2021-07-07T13:18:51Z | NONE | null | null | {
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} | ## 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/2584 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2584/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2584/comments | https://api.github.com/repos/huggingface/datasets/issues/2584/events | https://github.com/huggingface/datasets/pull/2584 | 936,049,736 | MDExOlB1bGxSZXF1ZXN0NjgyODY2Njc1 | 2,584 | wi_locness: reference latest leaderboard on codalab | {
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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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"author_association": "MEMBER",
"body": "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_i... | 2021-07-02T19:55:58Z | 2021-07-20T09:04:45Z | 2021-07-05T23:48:23Z | NONE | null | null | {
"completed": 0,
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} | ## 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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"body": "@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 c... | 2021-07-02T15:10:19Z | 2021-07-05T16:06:40Z | 2021-07-05T16:06:39Z | MEMBER | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/2579 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2579/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2579/comments | https://api.github.com/repos/huggingface/datasets/issues/2579/events | https://github.com/huggingface/datasets/pull/2579 | 935,486,894 | MDExOlB1bGxSZXF1ZXN0NjgyMzkyNjYx | 2,579 | Fix BibTeX entry | {
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cc: @abhishekkrthakur @thomwolf | {
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https://api.github.com/repos/huggingface/datasets/issues/2580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2580/comments | https://api.github.com/repos/huggingface/datasets/issues/2580/events | https://github.com/huggingface/datasets/pull/2580 | 935,767,421 | MDExOlB1bGxSZXF1ZXN0NjgyNjI2MTkz | 2,580 | Fix Counter import | {
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https://api.github.com/repos/huggingface/datasets/issues/2581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2581/comments | https://api.github.com/repos/huggingface/datasets/issues/2581/events | https://github.com/huggingface/datasets/pull/2581 | 935,783,588 | MDExOlB1bGxSZXF1ZXN0NjgyNjQwMDY4 | 2,581 | Faster search_batch for ElasticsearchIndex due to threading | {
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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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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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{
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"body": "> 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 qua... | 2021-07-01T20:22:34Z | 2021-08-11T14:46:24Z | 2021-07-05T10:50:27Z | MEMBER | null | null | 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")
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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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https://api.github.com/repos/huggingface/datasets/issues/2573 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2573/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2573/comments | https://api.github.com/repos/huggingface/datasets/issues/2573/events | https://github.com/huggingface/datasets/issues/2573 | 934,584,745 | MDU6SXNzdWU5MzQ1ODQ3NDU= | 2,573 | Finding right block-size with JSON loading difficult for user | {
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{
"author_association": "MEMBER",
"body": "This was actually a second error arising from a too small block-size in the json reader.\r\n\r\nFinding the right block size is difficult for the layman user",
"created_at": "2021-07-01T19:10:53Z",
"html_url": "https://github.com/huggingface/datasets/issues... | 2021-07-01T08:48:35Z | 2021-07-01T19:10:53Z | null | MEMBER | null | null | {
"completed": 0,
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} | As reported by @thomwolf, while loading a JSON Lines file with "json" loading script, he gets
> json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 383)
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"body": "I am trying to load a dataset using Hugging Face Datasets load_dataset method. I am getting the value error as show below. Can someone help with this? I am using Windows laptop and Google Colab notebook.\r\n\r\n```\r\n!pip install zstandard\r\nfrom datasets import lo... | 2021-07-01T08:37:04Z | 2023-01-03T15:34:01Z | 2021-07-05T10:50:27Z | MEMBER | null | null | {
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