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https://api.github.com/repos/huggingface/datasets/issues/5454 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5454/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5454/comments | https://api.github.com/repos/huggingface/datasets/issues/5454/events | https://github.com/huggingface/datasets/issues/5454 | 1,552,890,419 | I_kwDODunzps5cjzoz | 5,454 | Save and resume the state of a DataLoader | {
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"default": fals... | open | false | null | [] | null | 2023-01-23T10:58:54Z | 2024-11-27T01:19:21Z | null | MEMBER | null | null | null | null | It would be nice when using `datasets` with a PyTorch DataLoader to be able to resume a training from a DataLoader state (e.g. to resume a training that crashed)
What I have in mind (but lmk if you have other ideas or comments):
For map-style datasets, this requires to have a PyTorch Sampler state that can be sav... | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes the extraction of insecure TAR files by changing the base path against which TAR members are compared:
- from: "."
- to: `output_path`
This PR also adds tests for extracting insecure TAR files.
Related to:
- #5441
- #5452
@stas00 please note this PR addresses just one of the issues you pointe... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The log messages do not match their if-condition. This PR swaps them.
Found while investigating:
- #5441
CC: @lhoestq | {
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I'm getting the following exception:
```
lib/python3.10/zipfile.py:1353 in _RealGetContents │
│ │
│ 1350 │ │ # self.start_dir: Position of start of central directory ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5450 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5450/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5450/comments | https://api.github.com/repos/huggingface/datasets/issues/5450/events | https://github.com/huggingface/datasets/issues/5450 | 1,551,109,365 | I_kwDODunzps5cdAz1 | 5,450 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown | {
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This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing)
Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data colla... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Support fsspec 2023.1.0 in CI.
In the 2023.1.0 fsspec release, they replaced the type of `fsspec.registry`:
- from `ReadOnlyRegistry`, with an attribute called `target`
- to `MappingProxyType`, without that attribute
Consequently, we need to change our `mock_fsspec` fixtures, that were using the `target` attrib... | {
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- #5445
we should revert the temporary pin on fsspec introduced by:
- #5447 | {
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Fix #5445. | {
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Only to test the CI.
cc @lhoestq @albertvillanova | {
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```
...
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https://api.github.com/repos/huggingface/datasets/issues/5444 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5444/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5444/comments | https://api.github.com/repos/huggingface/datasets/issues/5444/events | https://github.com/huggingface/datasets/issues/5444 | 1,550,185,071 | I_kwDODunzps5cZfJv | 5,444 | info messages logged as warnings | {
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Code in `datasets` is using `logger.warning` when it should be using `logger.info`.
Some of these are probably a matter of opinion, but I think anything starting with `logger.warning(f"Loading chached` clearly falls into the info category.
Definitions from the Python docs for reference:
* I... | {
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I'll open a separate PR to update the *Create a Dataset card* with the new Hub metadata UI update 😄 | {
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First of all , I would like to thank all community who are developed DataSet storage and make it free available
How to integrate our Onedrive account or any other possible storage clouds (like google drive,...) with the **HF** datasets section.
For example, if I have **50GB** on my **Onedrive*... | {
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} | ok, every so often, I have been getting a strange failure on dataset install:
```
$ python -c 'import sys; from datasets import load_dataset; ds=load_dataset(sys.argv[1])' HuggingFaceM4/general-pmd-synthetic-testing
No config specified, defaulting to: general-pmd-synthetic-testing/100.unique
Downloading and prep... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5440 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5440/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5440/comments | https://api.github.com/repos/huggingface/datasets/issues/5440/events | https://github.com/huggingface/datasets/pull/5440 | 1,538,361,143 | PR_kwDODunzps5HpRbF | 5,440 | Fix documentation about batch samplers | {
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https://api.github.com/repos/huggingface/datasets/issues/5439 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5439/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5439/comments | https://api.github.com/repos/huggingface/datasets/issues/5439/events | https://github.com/huggingface/datasets/issues/5439 | 1,537,973,564 | I_kwDODunzps5bq508 | 5,439 | [dataset request] Add Common Voice 12.0 | {
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Please add the common voice 12_0 datasets. Apart from English, a significant amount of audio-data has been added to the other minor-language datasets.
### Motivation
The dataset link:
https://commonvoice.mozilla.org/en/datasets
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https://api.github.com/repos/huggingface/datasets/issues/5438 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5438/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5438/comments | https://api.github.com/repos/huggingface/datasets/issues/5438/events | https://github.com/huggingface/datasets/pull/5438 | 1,537,489,730 | PR_kwDODunzps5HmWA8 | 5,438 | Update actions/checkout in CD Conda release | {
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https://api.github.com/repos/huggingface/datasets/issues/5437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5437/comments | https://api.github.com/repos/huggingface/datasets/issues/5437/events | https://github.com/huggingface/datasets/issues/5437 | 1,536,837,144 | I_kwDODunzps5bmkYY | 5,437 | Can't load png dataset with 4 channel (RGBA) | {
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* Updates `actions/checkout` to `v3` (note that `v2` is [deprecated](https://github.blog/changelog/2022-09-22-github-actions-all-actions-will-begin-running-on-node16-instead... | {
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https://api.github.com/repos/huggingface/datasets/issues/5435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5435/comments | https://api.github.com/repos/huggingface/datasets/issues/5435/events | https://github.com/huggingface/datasets/issues/5435 | 1,536,099,300 | I_kwDODunzps5bjwPk | 5,435 | Wrong statement in "Load a Dataset in Streaming mode" leads to data leakage | {
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In the [Split your dataset with take and skip](https://huggingface.co/docs/datasets/v1.10.2/dataset_streaming.html#split-your-dataset-with-take-and-skip), it states:
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- #5431
we should revert the temporary pin on the Docker image version introduced by:
- #5432 | {
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It also updates deprecated `cml-send-comment` command and using `cml comment create` instead.
Fix #5431. | {
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```
Unknown arguments: runnerPath, path
```
Stack trace:
```
100%|██████████| 500/500 [00:01<00:00, 338.98ba/s]
Updating lock file 'dvc.lock'
To track the changes ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5430 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5430/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5430/comments | https://api.github.com/repos/huggingface/datasets/issues/5430/events | https://github.com/huggingface/datasets/issues/5430 | 1,535,856,503 | I_kwDODunzps5bi093 | 5,430 | Support Apache Beam >= 2.44.0 | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | 2023-01-17T06:42:12Z | 2024-02-06T19:24:21Z | 2024-02-06T19:24:21Z | MEMBER | null | null | null | null | Once we find out the root cause of:
- #5426
we should revert the temporary pin on apache-beam introduced by:
- #5429 | {
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Fix #5426. | {
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From what I understand `faiss` already support this [link](https://github.com/facebookresearch/faiss/wiki/Index-IO,-cloning-and-hyper-parameter-tuning#generic-io-support)
I would like to use a stream as input to `Dataset.load_faiss_index` and `Dataset.save_faiss_index`.
### Motivation
In... | {
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https://api.github.com/repos/huggingface/datasets/issues/5427 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5427/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5427/comments | https://api.github.com/repos/huggingface/datasets/issues/5427/events | https://github.com/huggingface/datasets/issues/5427 | 1,535,162,889 | I_kwDODunzps5bgLoJ | 5,427 | Unable to download dataset id_clickbait | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | 2023-01-16T16:05:36Z | 2023-01-18T09:51:28Z | 2023-01-18T09:25:19Z | NONE | null | null | null | null | ### Describe the bug
I tried to download dataset `id_clickbait`, but receive this error message.
```
FileNotFoundError: Couldn't find file at https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/k42j7x2kpn-1.zip
```
When i open the link using browser, i got this XML data.
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```
FAILED tests/test_beam.py::BeamBuilderTest::test_download_and_prepare_sharded - datasets.arrow_writer.SchemaInferenceError: Please pass `feat... | {
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https://api.github.com/repos/huggingface/datasets/issues/5425 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5425/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5425/comments | https://api.github.com/repos/huggingface/datasets/issues/5425/events | https://github.com/huggingface/datasets/issues/5425 | 1,534,581,850 | I_kwDODunzps5bd9xa | 5,425 | Sort on multiple keys with datasets.Dataset.sort() | {
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"default": true... | closed | false | null | [] | null | 2023-01-16T09:22:26Z | 2023-02-24T16:15:11Z | 2023-02-24T16:15:11Z | NONE | null | null | null | null | ### Feature request
From discussion on forum: https://discuss.huggingface.co/t/datasets-dataset-sort-does-not-preserve-ordering/29065/1
`sort()` does not preserve ordering, and it does not support sorting on multiple columns, nor a key function.
The suggested solution:
> ... having something similar to panda... | {
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https://api.github.com/repos/huggingface/datasets/issues/5424 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5424/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5424/comments | https://api.github.com/repos/huggingface/datasets/issues/5424/events | https://github.com/huggingface/datasets/issues/5424 | 1,534,394,756 | I_kwDODunzps5bdQGE | 5,424 | When applying `ReadInstruction` to custom load it's not DatasetDict but list of Dataset? | {
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I am loading datasets from custom `tsv` files stored locally and applying split instructions for each split. Although the ReadInstruction is being applied correctly and I was expecting it to be `DatasetDict` but instead it is a list of `Dataset`.
### Steps to reproduce the bug
Steps to reproduc... | {
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https://api.github.com/repos/huggingface/datasets/issues/5422 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5422/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5422/comments | https://api.github.com/repos/huggingface/datasets/issues/5422/events | https://github.com/huggingface/datasets/issues/5422 | 1,533,385,239 | I_kwDODunzps5bZZoX | 5,422 | Datasets load error for saved github issues | {
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Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5421 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5421/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5421/comments | https://api.github.com/repos/huggingface/datasets/issues/5421/events | https://github.com/huggingface/datasets/issues/5421 | 1,532,278,307 | I_kwDODunzps5bVLYj | 5,421 | Support case-insensitive Hub dataset name in load_dataset | {
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] | closed | false | null | [] | null | 2023-01-13T13:07:07Z | 2023-01-13T20:12:32Z | 2023-01-13T20:12:32Z | COLLABORATOR | null | null | null | null | ### Feature request
The dataset name on the Hub is case-insensitive (see https://github.com/huggingface/moon-landing/pull/2399, internal issue), i.e., https://huggingface.co/datasets/GLUE redirects to https://huggingface.co/datasets/glue.
Ideally, we could load the glue dataset using the following:
```
from d... | {
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https://api.github.com/repos/huggingface/datasets/issues/5420 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5420/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5420/comments | https://api.github.com/repos/huggingface/datasets/issues/5420/events | https://github.com/huggingface/datasets/pull/5420 | 1,532,265,742 | PR_kwDODunzps5HVAhL | 5,420 | ci: 🎡 remove two obsolete issue templates | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | add-dataset is not needed anymore since the "canonical" datasets are on the Hub. And dataset-viewer is managed within the datasets-server project.
See https://github.com/huggingface/datasets/issues/new/choose
<img width="1245" alt="Capture d’écran 2023-01-13 à 13 59 58" src="https://user-images.githubuserconten... | {
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https://api.github.com/repos/huggingface/datasets/issues/5419 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5419/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5419/comments | https://api.github.com/repos/huggingface/datasets/issues/5419/events | https://github.com/huggingface/datasets/issues/5419 | 1,531,999,850 | I_kwDODunzps5bUHZq | 5,419 | label_column='labels' in datasets.TextClassification and 'label' or 'label_ids' in transformers.DataColator | {
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When preparing a dataset for a task using `datasets.TextClassification`, the output feature is named `labels`. When preparing the trainer using the `transformers.DataCollator` the default column name is `label` if binary or `label_ids` if multi-class problem.
It is required to rename the column... | {
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https://api.github.com/repos/huggingface/datasets/issues/5418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5418/comments | https://api.github.com/repos/huggingface/datasets/issues/5418/events | https://github.com/huggingface/datasets/issues/5418 | 1,530,111,184 | I_kwDODunzps5bM6TQ | 5,418 | Add ProgressBar for `to_parquet` | {
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... | null | 2023-01-12T05:06:20Z | 2023-01-24T18:18:24Z | 2023-01-24T18:18:24Z | CONTRIBUTOR | null | null | null | null | ### Feature request
Add a progress bar for `Dataset.to_parquet`, similar to how `to_json` works.
### Motivation
It's a bit frustrating to not know how long a dataset will take to write to file and if it's stuck or not without a progress bar
### Your contribution
Sure I can help if needed | {
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https://api.github.com/repos/huggingface/datasets/issues/5416 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5416/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5416/comments | https://api.github.com/repos/huggingface/datasets/issues/5416/events | https://github.com/huggingface/datasets/pull/5416 | 1,526,988,113 | PR_kwDODunzps5HDLmR | 5,416 | Fix RuntimeError: Sharding is ambiguous for this dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes the RuntimeError: Sharding is ambiguous for this dataset.
The error for ambiguous sharding will be raised only if num_proc > 1.
Fix #5415, fix #5414.
Fix https://huggingface.co/datasets/ami/discussions/3. | {
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https://api.github.com/repos/huggingface/datasets/issues/5415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5415/comments | https://api.github.com/repos/huggingface/datasets/issues/5415/events | https://github.com/huggingface/datasets/issues/5415 | 1,526,904,861 | I_kwDODunzps5bArgd | 5,415 | RuntimeError: Sharding is ambiguous for this dataset | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | 2023-01-10T07:36:11Z | 2023-01-18T14:09:04Z | 2023-01-18T14:09:03Z | MEMBER | null | null | null | null | ### Describe the bug
When loading some datasets, a RuntimeError is raised.
For example, for "ami" dataset: https://huggingface.co/datasets/ami/discussions/3
```
.../huggingface/datasets/src/datasets/builder.py in _prepare_split(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)
... | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | 2023-01-09T14:45:31Z | 2023-01-18T14:09:04Z | 2023-01-18T14:09:04Z | NONE | null | null | null | null | ### Describe the bug
Loading the German Multilingual LibriSpeech dataset results in a RuntimeError regarding sharding with the following stacktrace:
```
Downloading and preparing dataset multilingual_librispeech/german to /home/nithin/datadrive/cache/huggingface/datasets/facebook___multilingual_librispeech/german/... | {
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https://api.github.com/repos/huggingface/datasets/issues/5413 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5413/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5413/comments | https://api.github.com/repos/huggingface/datasets/issues/5413/events | https://github.com/huggingface/datasets/issues/5413 | 1,524,591,837 | I_kwDODunzps5a32zd | 5,413 | concatenate_datasets fails when two dataset with shards > 1 and unequal shard numbers | {
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"gists... | null | 2023-01-08T17:01:52Z | 2023-01-26T09:27:21Z | 2023-01-26T09:27:21Z | NONE | null | null | null | null | ### Describe the bug
When using `concatenate_datasets([dataset1, dataset2], axis = 1)` to concatenate two datasets with shards > 1, it fails:
```
File "/home/xzg/anaconda3/envs/tri-transfer/lib/python3.9/site-packages/datasets/combine.py", line 182, in concatenate_datasets
return _concatenate_map_style_data... | {
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https://api.github.com/repos/huggingface/datasets/issues/5412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5412/comments | https://api.github.com/repos/huggingface/datasets/issues/5412/events | https://github.com/huggingface/datasets/issues/5412 | 1,524,250,269 | I_kwDODunzps5a2jad | 5,412 | load_dataset() cannot find dataset_info.json with multiple training runs in parallel | {
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I have a custom local dataset in JSON form. I am trying to do multiple training runs in parallel. The first training run runs with no issue. However, when I start another run on another GPU, the following code throws this error.
If there is a workaround to ignore the cache I think that would ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5411 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5411/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5411/comments | https://api.github.com/repos/huggingface/datasets/issues/5411/events | https://github.com/huggingface/datasets/pull/5411 | 1,523,297,786 | PR_kwDODunzps5G23-T | 5,411 | Update docs of S3 filesystem with async aiobotocore | {
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Updating documentation to use `AioSession` while using s3fs for download manager as well as working with datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/5410 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5410/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5410/comments | https://api.github.com/repos/huggingface/datasets/issues/5410/events | https://github.com/huggingface/datasets/pull/5410 | 1,521,168,032 | PR_kwDODunzps5GvnJH | 5,410 | Map-style Dataset to IterableDataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Added `ds.to_iterable()` to get an iterable dataset from a map-style arrow dataset.
It also has a `num_shards` argument to split the dataset before converting to an iterable dataset. Sharding is important to enable efficient shuffling and parallel loading of iterable datasets.
TODO:
- [x] tests
- [x] docs
Fi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5409/comments | https://api.github.com/repos/huggingface/datasets/issues/5409/events | https://github.com/huggingface/datasets/pull/5409 | 1,520,374,219 | PR_kwDODunzps5Gs3nL | 5,409 | Fix deprecation warning when use_auth_token passed to download_and_prepare | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The `DatasetBuilder.download_and_prepare` argument `use_auth_token` was deprecated in:
- #5302
However, `use_auth_token` is still passed to `download_and_prepare` in our built-in `io` readers (csv, json, parquet,...).
This PR fixes it, so that no deprecation warning is raised.
Fix #5407. | {
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https://api.github.com/repos/huggingface/datasets/issues/5408 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5408/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5408/comments | https://api.github.com/repos/huggingface/datasets/issues/5408/events | https://github.com/huggingface/datasets/issues/5408 | 1,519,890,752 | I_kwDODunzps5al7FA | 5,408 | dataset map function could not be hash properly | {
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I follow the [blog post](https://huggingface.co/blog/fine-tune-whisper#building-a-demo) to finetune a Cantonese transcribe model.
When using map function to prepare dataset, following warning pop out:
`common_voice = common_voice.map(prepare_dataset,
remove_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5407/comments | https://api.github.com/repos/huggingface/datasets/issues/5407/events | https://github.com/huggingface/datasets/issues/5407 | 1,519,797,345 | I_kwDODunzps5alkRh | 5,407 | Datasets.from_sql() generates deprecation warning | {
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Calling `Datasets.from_sql()` generates a warning:
`.../site-packages/datasets/builder.py:712: FutureWarning: 'use_auth_token' was deprecated in version 2.7.1 and will be removed in 3.0.0. Pass 'use_auth_token' to the initializer/'load_dataset_builder' instead.`
### Steps to reproduce the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5406/comments | https://api.github.com/repos/huggingface/datasets/issues/5406/events | https://github.com/huggingface/datasets/issues/5406 | 1,519,140,544 | I_kwDODunzps5ajD7A | 5,406 | [2.6.1][2.7.0] Upgrade `datasets` to fix `TypeError: can only concatenate str (not "int") to str` | {
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When loading a dataset using 2.6.1 or 2.7.0, you may this error when loading certain datasets:
```python
TypeError: can only concatenate str (not "int") to str
```
This is because we started to update the metadat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5405/comments | https://api.github.com/repos/huggingface/datasets/issues/5405/events | https://github.com/huggingface/datasets/issues/5405 | 1,517,879,386 | I_kwDODunzps5aeQBa | 5,405 | size_in_bytes the same for all splits | {
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Hi, it looks like whenever you pull a dataset and get size_in_bytes, it returns the same size for all splits (and that size is the combined size of all splits). It seems like this shouldn't be the intended behavior since it is misleading. Here's an example:
```
>>> from datasets import load_da... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5404/comments | https://api.github.com/repos/huggingface/datasets/issues/5404/events | https://github.com/huggingface/datasets/issues/5404 | 1,517,566,331 | I_kwDODunzps5adDl7 | 5,404 | Better integration of BIG-bench | {
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{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
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] | open | false | null | [] | null | 2023-01-03T15:37:57Z | 2023-02-09T20:30:26Z | null | MEMBER | null | null | null | null | ### Feature request
Ideally, it would be nice to have a maintained PyPI package for `bigbench`.
### Motivation
We'd like to allow anyone to access, explore and use any task.
### Your contribution
@lhoestq has opened an issue in their repo:
- https://github.com/google/BIG-bench/issues/906 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5403/comments | https://api.github.com/repos/huggingface/datasets/issues/5403/events | https://github.com/huggingface/datasets/pull/5403 | 1,517,466,492 | PR_kwDODunzps5Gi3d9 | 5,403 | Replace one letter import in docs | {
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https://api.github.com/repos/huggingface/datasets/issues/5402 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5402/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5402/comments | https://api.github.com/repos/huggingface/datasets/issues/5402/events | https://github.com/huggingface/datasets/issues/5402 | 1,517,409,429 | I_kwDODunzps5acdSV | 5,402 | Missing state.json when creating a cloud dataset using a dataset_builder | {
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Using `load_dataset_builder` to create a builder, run `download_and_prepare` do upload it to S3. However when trying to load it, there are missing `state.json` files. Complete example:
```python
from aiobotocore.session import AioSession as Session
from datasets import load_from_disk, load_da... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5401/comments | https://api.github.com/repos/huggingface/datasets/issues/5401/events | https://github.com/huggingface/datasets/pull/5401 | 1,517,160,935 | PR_kwDODunzps5Gh1XQ | 5,401 | Support Dataset conversion from/to Spark | {
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https://api.github.com/repos/huggingface/datasets/issues/5400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5400/comments | https://api.github.com/repos/huggingface/datasets/issues/5400/events | https://github.com/huggingface/datasets/pull/5400 | 1,517,032,972 | PR_kwDODunzps5GhaGI | 5,400 | Support streaming datasets with os.path.exists and Path.exists | {
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https://api.github.com/repos/huggingface/datasets/issues/5399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5399/comments | https://api.github.com/repos/huggingface/datasets/issues/5399/events | https://github.com/huggingface/datasets/issues/5399 | 1,515,548,427 | I_kwDODunzps5aVW8L | 5,399 | Got disconnected from remote data host. Retrying in 5sec [2/20] | {
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While trying to upload my image dataset of a CSV file type to huggingface by running the below code. The dataset consists of a little over 100k of image-caption pairs
### Steps to reproduce the bug
```
df = pd.read_csv('x.csv', encoding='utf-8-sig')
features = Features({
'link': Ima... | {
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https://api.github.com/repos/huggingface/datasets/issues/5398 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5398/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5398/comments | https://api.github.com/repos/huggingface/datasets/issues/5398/events | https://github.com/huggingface/datasets/issues/5398 | 1,514,425,231 | I_kwDODunzps5aREuP | 5,398 | Unpin pydantic | {
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See issue:
- #5394
See temporary fix:
- #5395 | {
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https://api.github.com/repos/huggingface/datasets/issues/5397 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5397/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5397/comments | https://api.github.com/repos/huggingface/datasets/issues/5397/events | https://github.com/huggingface/datasets/pull/5397 | 1,514,412,246 | PR_kwDODunzps5GYirs | 5,397 | Unpin pydantic test dependency | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Once pydantic-1.10.3 has been yanked, we can unpin it: https://pypi.org/project/pydantic/1.10.3/
See reply by pydantic team https://github.com/pydantic/pydantic/issues/4885#issuecomment-1367819807
```
v1.10.3 has been yanked.
```
in response to spacy request: https://github.com/pydantic/pydantic/issues/4885#issu... | {
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https://api.github.com/repos/huggingface/datasets/issues/5396 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5396/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5396/comments | https://api.github.com/repos/huggingface/datasets/issues/5396/events | https://github.com/huggingface/datasets/pull/5396 | 1,514,002,934 | PR_kwDODunzps5GXMhp | 5,396 | Fix checksum verification | {
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https://api.github.com/repos/huggingface/datasets/issues/5395 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5395/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5395/comments | https://api.github.com/repos/huggingface/datasets/issues/5395/events | https://github.com/huggingface/datasets/pull/5395 | 1,513,997,335 | PR_kwDODunzps5GXLUl | 5,395 | Temporarily pin pydantic test dependency | {
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Fix #5394. | {
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While installing the dependencies, the CI raises a TypeError:
```
Traceback (most recent call last):
File "/opt/hostedtoolcache/Python/3.7.15/x64/lib/python3.7/runpy.py", line 183, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/opt/hoste... | {
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https://api.github.com/repos/huggingface/datasets/issues/5393 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5393/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5393/comments | https://api.github.com/repos/huggingface/datasets/issues/5393/events | https://github.com/huggingface/datasets/pull/5393 | 1,512,908,613 | PR_kwDODunzps5GTg0a | 5,393 | Finish deprecating the fs argument | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | See #5385 for some discussion on this
The `fs=` arg was depcrecated from `Dataset.save_to_disk` and `Dataset.load_from_disk` in `2.8.0` (to be removed in `3.0.0`). There are a few other places where the `fs=` arg was still used (functions/methods in `datasets.info` and `datasets.load`). This PR adds a similar beha... | {
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https://api.github.com/repos/huggingface/datasets/issues/5392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5392/comments | https://api.github.com/repos/huggingface/datasets/issues/5392/events | https://github.com/huggingface/datasets/pull/5392 | 1,512,712,529 | PR_kwDODunzps5GS2DF | 5,392 | Fix Colab notebook link | {
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https://api.github.com/repos/huggingface/datasets/issues/5391 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5391/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5391/comments | https://api.github.com/repos/huggingface/datasets/issues/5391/events | https://github.com/huggingface/datasets/issues/5391 | 1,510,350,400 | I_kwDODunzps5aBh5A | 5,391 | Whisper Event - RuntimeError: The size of tensor a (504) must match the size of tensor b (448) at non-singleton dimension 1 100% 1000/1000 [2:52:21<00:00, 10.34s/it] | {
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Attempted using [RuntimeError: he size of tensor a (504) must match the size of tensor b (448) at non-singleton dimension 1 100% 1... | {
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https://api.github.com/repos/huggingface/datasets/issues/5390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5390/comments | https://api.github.com/repos/huggingface/datasets/issues/5390/events | https://github.com/huggingface/datasets/issues/5390 | 1,509,357,553 | I_kwDODunzps5Z9vfx | 5,390 | Error when pushing to the CI hub | {
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Note that it's a special case where the Hub URL is "https://hub-ci.huggingface.co", which does not appear if we do the same on the Hub (https://huggingface.co).
The call to `dataset.push_to_hub(` fails:
```
Pushing dataset shards to the dataset hub: 100%|██████████████████████████████████... | {
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https://api.github.com/repos/huggingface/datasets/issues/5389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5389/comments | https://api.github.com/repos/huggingface/datasets/issues/5389/events | https://github.com/huggingface/datasets/pull/5389 | 1,509,348,626 | PR_kwDODunzps5GHsOo | 5,389 | Fix link in `load_dataset` docstring | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix https://github.com/huggingface/datasets/issues/5387, fix https://github.com/huggingface/datasets/issues/4566 | {
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https://api.github.com/repos/huggingface/datasets/issues/5388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5388/comments | https://api.github.com/repos/huggingface/datasets/issues/5388/events | https://github.com/huggingface/datasets/issues/5388 | 1,509,042,348 | I_kwDODunzps5Z8iis | 5,388 | Getting Value Error while loading a dataset.. | {
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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.
```
WARNING:datasets.builder:Using custom data configuration default-a1d9e8eaedd958cd
---... | {
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https://api.github.com/repos/huggingface/datasets/issues/5387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5387/comments | https://api.github.com/repos/huggingface/datasets/issues/5387/events | https://github.com/huggingface/datasets/issues/5387 | 1,508,740,177 | I_kwDODunzps5Z7YxR | 5,387 | Missing documentation page : improve-performance | {
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Trying to access https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/cache#improve-performance, the page is missing.
The link is in here : https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/loading_methods#datasets.load_dataset.keep_in_memory
### Steps to reproduce t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5386/comments | https://api.github.com/repos/huggingface/datasets/issues/5386/events | https://github.com/huggingface/datasets/issues/5386 | 1,508,592,918 | I_kwDODunzps5Z600W | 5,386 | `max_shard_size` in `datasets.push_to_hub()` breaks with large files | {
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`max_shard_size` parameter for `datasets.push_to_hub()` works unreliably with large files, generating shard files that are way past the specified limit.
In my private dataset, which contains unprocessed images of all sizes (up to `~100MB` per file), I've encountered cases where `max_shard_siz... | {
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https://api.github.com/repos/huggingface/datasets/issues/5385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5385/comments | https://api.github.com/repos/huggingface/datasets/issues/5385/events | https://github.com/huggingface/datasets/issues/5385 | 1,508,535,532 | I_kwDODunzps5Z6mzs | 5,385 | Is `fs=` deprecated in `load_from_disk()` as well? | {
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The `fs=` argument was deprecated from `Dataset.save_to_disk` and `Dataset.load_from_disk` in favor of automagically figuring it out via fsspec:
https://github.com/huggingface/datasets/blob/9a7272cd4222383a5b932b0083a4cc173fda44e8/src/datasets/arrow_dataset.py#L1339-L1340
Is there a reason the... | {
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https://api.github.com/repos/huggingface/datasets/issues/5384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5384/comments | https://api.github.com/repos/huggingface/datasets/issues/5384/events | https://github.com/huggingface/datasets/pull/5384 | 1,508,152,598 | PR_kwDODunzps5GDmR6 | 5,384 | Handle 0-dim tensors in `cast_to_python_objects` | {
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https://api.github.com/repos/huggingface/datasets/issues/5383 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5383/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5383/comments | https://api.github.com/repos/huggingface/datasets/issues/5383/events | https://github.com/huggingface/datasets/issues/5383 | 1,507,293,968 | I_kwDODunzps5Z13sQ | 5,383 | IterableDataset missing column_names, differs from Dataset interface | {
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The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_columns=dataset.column_names, ...)
```
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https://api.github.com/repos/huggingface/datasets/issues/5382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5382/comments | https://api.github.com/repos/huggingface/datasets/issues/5382/events | https://github.com/huggingface/datasets/pull/5382 | 1,504,788,691 | PR_kwDODunzps5F4Q0V | 5,382 | Raise from disconnect error in xopen | {
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related to https://github.com/huggingface/datasets/issues/5374 | {
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https://api.github.com/repos/huggingface/datasets/issues/5381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5381/comments | https://api.github.com/repos/huggingface/datasets/issues/5381/events | https://github.com/huggingface/datasets/issues/5381 | 1,504,498,387 | I_kwDODunzps5ZrNLT | 5,381 | Wrong URL for the_pile dataset | {
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When trying to load `the_pile` dataset from the library, I get a `FileNotFound` error.
### Steps to reproduce the bug
Steps to reproduce:
Run:
```
from datasets import load_dataset
dataset = load_dataset("the_pile")
```
I get the output:
"name": "FileNotFoundError",
"message... | {
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https://api.github.com/repos/huggingface/datasets/issues/5380 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5380/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5380/comments | https://api.github.com/repos/huggingface/datasets/issues/5380/events | https://github.com/huggingface/datasets/issues/5380 | 1,504,404,043 | I_kwDODunzps5Zq2JL | 5,380 | Improve dataset `.skip()` speed in streaming mode | {
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"default": fals... | open | false | null | [] | null | 2022-12-20T11:25:23Z | 2023-03-08T10:47:12Z | null | CONTRIBUTOR | null | null | null | null | ### Feature request
Add extra information to the `dataset_infos.json` file to include the number of samples/examples in each shard, for example in a new field `num_examples` alongside `num_bytes`. The `.skip()` function could use this information to ignore the download of a shard when in streaming mode, which AFAICT... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5379 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5379/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5379/comments | https://api.github.com/repos/huggingface/datasets/issues/5379/events | https://github.com/huggingface/datasets/pull/5379 | 1,504,010,639 | PR_kwDODunzps5F1r2k | 5,379 | feat: depth estimation dataset guide. | {
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PR to add documentation images is up here: https://huggingface.co/datasets/huggingface/documentation-images/discussions/22 | {
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https://api.github.com/repos/huggingface/datasets/issues/5378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5378/comments | https://api.github.com/repos/huggingface/datasets/issues/5378/events | https://github.com/huggingface/datasets/issues/5378 | 1,503,887,508 | I_kwDODunzps5Zo4CU | 5,378 | The dataset "the_pile", subset "enron_emails" , load_dataset() failure | {
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When run
"datasets.load_dataset("the_pile","enron_emails")" failure

### Steps to reproduce the bug
Run below code in python cli:
>>> import datasets
>>> datasets.load_dataset(... | {
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The core idea is that we do everything using `multiprocessing` and... | {
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https://api.github.com/repos/huggingface/datasets/issues/5375 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5375/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5375/comments | https://api.github.com/repos/huggingface/datasets/issues/5375/events | https://github.com/huggingface/datasets/pull/5375 | 1,502,720,404 | PR_kwDODunzps5FxUbG | 5,375 | Release: 2.8.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/5374 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5374/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5374/comments | https://api.github.com/repos/huggingface/datasets/issues/5374/events | https://github.com/huggingface/datasets/issues/5374 | 1,501,872,945 | I_kwDODunzps5ZhMMx | 5,374 | Using too many threads results in: Got disconnected from remote data host. Retrying in 5sec | {
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`streaming_download_manager` seems to disconnect if too many runs access the same underlying dataset 🧐
The code works fine for me if I have ~100 runs in parallel, but disconnects once scaling to 200.
Possibly related:
- https://github.com/huggingface/datasets/pull/3100
- https://github.com/... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Was hoping to find a way to speed up the skipping as I'm running into bottlenecks skipping 100M examples on C4 (it takes 12 hours to skip), but didn't find anything better than this small change :(
Maybe there's a way to directly skip whole shards to speed it up? 🧐 | {
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- Support passing a path string, besides a file-like object
- Support passing `use_auth_token`
- First assumes the host server supports HTTP range requests; only if a ValueError is thrown (Cannot seek streaming HTTP file), then it preserves previous behavior (see [#3355](https://g... | {
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... | null | 2022-12-17T12:35:13Z | 2022-12-20T06:21:41Z | null | MEMBER | null | null | null | null | ### Name
ImageNet-C
### Paper
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
### Data
https://github.com/hendrycks/robustness
### Motivation
It's a known fact that vision models are brittle when they meet with slightly corrupted and perturbed data. This is also corre... | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | To split your dataset across your training nodes, you can use the new [`datasets.distributed.split_dataset_by_node`]:
```python
import os
from datasets.distributed import split_dataset_by_node
ds = split_dataset_by_node(ds, rank=int(os.environ["RANK"]), world_size=int(os.environ["WORLD_SIZE"]))
```
This wor... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This was introduced in https://github.com/huggingface/datasets/pull/5252 and causing the transformers CI to break: https://app.circleci.com/pipelines/github/huggingface/transformers/53886/workflows/522faf2e-a053-454c-94f8-a617fde33393/jobs/648597
Basically this code should return a dataset with only one column:
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`PIL.Image.fromarray` [does support mode `F`](https://pillow.readthedocs.io/e... | {
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https://api.github.com/repos/huggingface/datasets/issues/5362 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5362/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5362/comments | https://api.github.com/repos/huggingface/datasets/issues/5362/events | https://github.com/huggingface/datasets/issues/5362 | 1,497,643,744 | I_kwDODunzps5ZRDrg | 5,362 | Run 'GPT-J' failure due to download dataset fail (' ConnectionError: Couldn't reach http://eaidata.bmk.sh/data/enron_emails.jsonl.zst ' ) | {
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Run model "GPT-J" with dataset "the_pile" fail.
The fail out is as below:

Looks like which is due to "http://eaidata.bmk.sh/data/enron_emails.jsonl.zst" unreachable .
### Steps to ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5361 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5361/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5361/comments | https://api.github.com/repos/huggingface/datasets/issues/5361/events | https://github.com/huggingface/datasets/issues/5361 | 1,497,153,889 | I_kwDODunzps5ZPMFh | 5,361 | How concatenate `Audio` elements using batch mapping | {
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I am trying to do concatenate audios in a dataset e.g. `google/fleurs`.
```python
print(dataset)
# Dataset({
# features: ['path', 'audio'],
# num_rows: 24
# })
def mapper_function(batch):
# to merge every 3 audio
# np.concatnate(audios[i: i+3]) for i in range(i, len(batc... | {
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Introduces no significant logic changes. | {
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The previous behavior of the torch formatting for iterable dataset was simply to make the iterable dataset inherit from `to... | {
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... | null | 2022-12-12T15:39:45Z | 2025-06-21T13:56:58Z | null | NONE | null | null | null | null | ### Feature request
Hi, please consider using `Sequence` type annotation instead of `List` in function arguments such as in [`Dataset.from_parquet()`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L1088). It leads to type checking errors, see below.
**How to reproduce**
```py
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5353 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5353/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5353/comments | https://api.github.com/repos/huggingface/datasets/issues/5353/events | https://github.com/huggingface/datasets/issues/5353 | 1,491,880,500 | I_kwDODunzps5Y7Eo0 | 5,353 | Support remote file systems for `Audio` | {
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"description": "New feature or request",
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] | closed | false | null | [] | null | 2022-12-12T13:22:13Z | 2022-12-12T13:37:14Z | 2022-12-12T13:37:14Z | NONE | null | null | null | null | ### Feature request
Hi there!
It would be super cool if `Audio()`, and potentially other features, could read files from a remote file system.
### Motivation
Large amounts of data is often stored in buckets. `load_from_disk` is able to retrieve data from cloud storage but to my knowledge actually copies the datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/5352 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5352/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5352/comments | https://api.github.com/repos/huggingface/datasets/issues/5352/events | https://github.com/huggingface/datasets/issues/5352 | 1,490,796,414 | I_kwDODunzps5Y279- | 5,352 | __init__() got an unexpected keyword argument 'input_size' | {
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"gists_url": "https://a... | [] | open | false | null | [] | null | 2022-12-12T02:52:03Z | 2022-12-19T01:38:48Z | null | NONE | null | null | null | null | ### Describe the bug
I try to define a custom configuration with a input_size attribute following the instructions by "Specifying several dataset configurations" in https://huggingface.co/docs/datasets/v1.2.1/add_dataset.html
But when I load the dataset, I got an error "__init__() got an unexpected keyword argument... | null | {
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