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https://api.github.com/repos/huggingface/datasets/issues/5576 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5576/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5576/comments | https://api.github.com/repos/huggingface/datasets/issues/5576/events | https://github.com/huggingface/datasets/issues/5576 | 1,598,582,744 | I_kwDODunzps5fSG_Y | 5,576 | I was getting a similar error `pyarrow.lib.ArrowInvalid: Integer value 528 not in range: -128 to 127` - AFAICT, this is because the type specified for `reddit_scores` is `datasets.Sequence(datasets.Value("int8"))`, but the actual values can be well outside the max range for 8-bit integers. | {
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"Duplicated issue."
] | 2023-02-24T12:57:49 | 2023-02-24T12:58:31 | 2023-02-24T12:58:18 | NONE | null | I was getting a similar error `pyarrow.lib.ArrowInvalid: Integer value 528 not in range: -128 to 127` - AFAICT, this is because the type specified for `reddit_scores` is `datasets.Sequence(datasets.Value("int8"))`, but the actual values can be well outside the max range for 8-bit integers.
I worked aro... | {
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https://api.github.com/repos/huggingface/datasets/issues/5574 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5574/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5574/comments | https://api.github.com/repos/huggingface/datasets/issues/5574/events | https://github.com/huggingface/datasets/issues/5574 | 1,598,104,691 | I_kwDODunzps5fQSRz | 5,574 | c4 dataset streaming fails with `FileNotFoundError` | {
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"Also encountering this issue for every dataset I try to stream! Installed datasets from main:\r\n```\r\n- `datasets` version: 2.10.1.dev0\r\n- Platform: macOS-13.1-arm64-arm-64bit\r\n- Python version: 3.9.13\r\n- PyArrow version: 10.0.1\r\n- Pandas version: 1.5.2\r\n```\r\n\r\nRepro:\r\n```python\r\nfrom datasets ... | 2023-02-24T07:57:32 | 2023-03-06T13:14:11 | 2023-02-27T04:03:38 | NONE | null | ### Describe the bug
Loading the `c4` dataset in streaming mode with `load_dataset("c4", "en", split="validation", streaming=True)` and then using it fails with a `FileNotFoundException`.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("c4", "en", split="train", ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5573 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5573/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5573/comments | https://api.github.com/repos/huggingface/datasets/issues/5573/events | https://github.com/huggingface/datasets/pull/5573 | 1,597,400,836 | PR_kwDODunzps5Kop7n | 5,573 | Use soundfile for mp3 decoding instead of torchaudio | {
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Let me know if you think it's too harsh and we should continue to support `torchaudio` decodi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5572/comments | https://api.github.com/repos/huggingface/datasets/issues/5572/events | https://github.com/huggingface/datasets/issues/5572 | 1,597,257,624 | I_kwDODunzps5fNDeY | 5,572 | Datasets 2.10.0 does not reuse the dataset cache | {
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download_mode="reuse_dataset_if_exists" will always consider that a dataset doesn't exist.
Specifically, upon losing an internet connection trying to load a dataset for a second time in ten seconds, a connection error results, showing a breakpoint of:
```
File ~/jupyterlab/.direnv/python-... | {
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https://api.github.com/repos/huggingface/datasets/issues/5571 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5571/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5571/comments | https://api.github.com/repos/huggingface/datasets/issues/5571/events | https://github.com/huggingface/datasets/issues/5571 | 1,597,198,953 | I_kwDODunzps5fM1Jp | 5,571 | load_dataset fails for JSON in windows | {
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"Hi! \r\n\r\nYou need to pass an input json file explicitly as `data_files` to `load_dataset` to avoid this error:\r\n```python\r\n ds = load_dataset(\"json\", data_files=args.input_json)\r\n```\r\n\r\n",
"Thanks it worked!"
] | 2023-02-23T16:50:11 | 2023-02-24T13:21:47 | 2023-02-24T13:21:47 | NONE | null | ### Describe the bug
Steps:
1. Created a dataset in a Linux VM and created a small sample using dataset.to_json() method.
2. Downloaded the JSON file to my local Windows machine for working and saved in say - r"C:\Users\name\file.json"
3. I am reading the file in my local PyCharm - the location of python file is di... | {
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https://api.github.com/repos/huggingface/datasets/issues/5569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5569/comments | https://api.github.com/repos/huggingface/datasets/issues/5569/events | https://github.com/huggingface/datasets/pull/5569 | 1,597,132,383 | PR_kwDODunzps5KnwHD | 5,569 | pass the dataset features to the IterableDataset.from_generator function | {
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"Hi ! Oh good catch. I think the features should be passed to `IterableDataset.from_generator()` in `to_iterable_dataset()` indeed.\r\n\r\nSetting this as a good first issue if someone would like to contribute, otherwise we can take care of it :)",
"#self-assign",
"seems like the feature parameter is missing fr... | 2023-02-23T13:45:33 | 2023-02-24T13:22:36 | 2023-02-24T13:22:36 | CONTRIBUTOR | null | ### Describe the bug
Hello,
I like the new `to_iterable_dataset` feature but I noticed something that seems to be missing.
When using `to_iterable_dataset` to transform your map style dataset into iterable dataset, you lose valuable metadata like the features.
These metadata are useful if you want to interleav... | {
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https://api.github.com/repos/huggingface/datasets/issues/5565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5565/comments | https://api.github.com/repos/huggingface/datasets/issues/5565/events | https://github.com/huggingface/datasets/pull/5565 | 1,595,281,752 | PR_kwDODunzps5KhfTH | 5,565 | Add writer_batch_size for ArrowBasedBuilder | {
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This can be useful for `datasets-server` to keep control of the row groups size which can affect random access performance for audio/image/video datasets
Right now having 1,000 examples per row group cause some image dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/5562 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5562/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5562/comments | https://api.github.com/repos/huggingface/datasets/issues/5562/events | https://github.com/huggingface/datasets/pull/5562 | 1,594,625,539 | PR_kwDODunzps5KfTUT | 5,562 | Update csv.py | {
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It triggered following deprecation warning:
/usr/local/lib/python3.8/dist-packages/datasets/download/streaming_download_manager.py:776: FutureWarning: the 'mangle_dupe_cols' keyword is deprecated and will be removed in a future version. Please take steps to stop the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5561 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5561/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5561/comments | https://api.github.com/repos/huggingface/datasets/issues/5561/events | https://github.com/huggingface/datasets/pull/5561 | 1,593,862,388 | PR_kwDODunzps5Kcxw_ | 5,561 | Add pre-commit config yaml file to enable automatic code formatting | {
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If so - I need to double check the config but for me locally it works as expected. | {
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https://api.github.com/repos/huggingface/datasets/issues/5560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5560/comments | https://api.github.com/repos/huggingface/datasets/issues/5560/events | https://github.com/huggingface/datasets/pull/5560 | 1,593,809,978 | PR_kwDODunzps5Kcml6 | 5,560 | Ensure last tqdm update in `map` | {
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* ensure the TQDM bar gets the last progress update
* when a map function fails, avoid throwing a chained exception in the single-proc mode | {
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https://api.github.com/repos/huggingface/datasets/issues/5559 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5559/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5559/comments | https://api.github.com/repos/huggingface/datasets/issues/5559/events | https://github.com/huggingface/datasets/pull/5559 | 1,593,676,489 | PR_kwDODunzps5KcKSb | 5,559 | Fix map suffix_template | {
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I fixed this and also improved a few things:
- regarding logging: "Loading cached processed dataset" is now logged only once even in multiprocessing (it used to be logged ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5558 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5558/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5558/comments | https://api.github.com/repos/huggingface/datasets/issues/5558/events | https://github.com/huggingface/datasets/pull/5558 | 1,593,655,815 | PR_kwDODunzps5KcF5E | 5,558 | Remove instructions for `ffmpeg` system package installation on Colab | {
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https://api.github.com/repos/huggingface/datasets/issues/5557 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5557/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5557/comments | https://api.github.com/repos/huggingface/datasets/issues/5557/events | https://github.com/huggingface/datasets/pull/5557 | 1,593,545,324 | PR_kwDODunzps5Kbube | 5,557 | Add filter desc | {
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https://api.github.com/repos/huggingface/datasets/issues/5556 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5556/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5556/comments | https://api.github.com/repos/huggingface/datasets/issues/5556/events | https://github.com/huggingface/datasets/pull/5556 | 1,593,246,936 | PR_kwDODunzps5KauVL | 5,556 | Use default audio resampling type | {
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It was only used for `_decode_non_mp3_file_like` anyway and not for the other ones - removing it fixes consistency between decoding methods (except torchaudio decoding)
Therefore I think it is a better solution than adding `resampy` as a dependen... | {
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https://api.github.com/repos/huggingface/datasets/issues/5554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5554/comments | https://api.github.com/repos/huggingface/datasets/issues/5554/events | https://github.com/huggingface/datasets/pull/5554 | 1,592,285,062 | PR_kwDODunzps5KXhZh | 5,554 | Add resampy dep | {
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However it is necessary for resampling. I added it to the "audio" extra dependencies. | {
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https://api.github.com/repos/huggingface/datasets/issues/5553 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5553/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5553/comments | https://api.github.com/repos/huggingface/datasets/issues/5553/events | https://github.com/huggingface/datasets/pull/5553 | 1,592,236,998 | PR_kwDODunzps5KXXUq | 5,553 | improved message error row formatting | {
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https://api.github.com/repos/huggingface/datasets/issues/5552 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5552/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5552/comments | https://api.github.com/repos/huggingface/datasets/issues/5552/events | https://github.com/huggingface/datasets/pull/5552 | 1,592,186,703 | PR_kwDODunzps5KXMjA | 5,552 | Make tiktoken tokenizers hashable | {
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https://api.github.com/repos/huggingface/datasets/issues/5551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5551/comments | https://api.github.com/repos/huggingface/datasets/issues/5551/events | https://github.com/huggingface/datasets/pull/5551 | 1,592,140,836 | PR_kwDODunzps5KXCof | 5,551 | Suggest scikit-learn instead of sklearn | {
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The current error message if sklearn is not installed:
```
ImportError: To be able to use [dataset name], you need to install the following dependency: sklearn.
Please install it using 'pip install sklearn' for instance.
```
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5550/comments | https://api.github.com/repos/huggingface/datasets/issues/5550/events | https://github.com/huggingface/datasets/pull/5550 | 1,591,409,475 | PR_kwDODunzps5KUl5i | 5,550 | Resolve four broken refs in the docs | {
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## Pull Request overview
* Resolve 4 broken references in the docs
## The problems
Two broken references [here](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.class_encode_column):
![image](https://user-images.githubusercontent.com/37621491/220056232-366b64dc-33c9-... | {
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https://api.github.com/repos/huggingface/datasets/issues/5549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5549/comments | https://api.github.com/repos/huggingface/datasets/issues/5549/events | https://github.com/huggingface/datasets/pull/5549 | 1,590,836,848 | PR_kwDODunzps5KSsi3 | 5,549 | Apply ruff flake8-comprehension checks | {
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Apply ruff's flake8-comprehension checks for better performance, and more readable code. | {
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Apply ruff flake8 comprehension checks to codebase.
### Motivation
This should strictly improve the performance / readability of the codebase by removing unnecessary iteration, function calls, etc. This should generate better Python bytecode which should strictly improve performance.
I alread... | {
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https://api.github.com/repos/huggingface/datasets/issues/5547 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5547/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5547/comments | https://api.github.com/repos/huggingface/datasets/issues/5547/events | https://github.com/huggingface/datasets/pull/5547 | 1,590,468,200 | PR_kwDODunzps5KRmcf | 5,547 | Add JAX device selection when formatting | {
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After exploring for a while the JAX integration in 🤗`datasets`, I found out that, even though JAX prioritizes the TPU and GPU as the default device when available, the `JaxFormatter` doesn't let you specify the device where you want to place the `jax.Array`s in case you don't want to rely on J... | {
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https://api.github.com/repos/huggingface/datasets/issues/5543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5543/comments | https://api.github.com/repos/huggingface/datasets/issues/5543/events | https://github.com/huggingface/datasets/issues/5543 | 1,588,951,379 | I_kwDODunzps5etXlT | 5,543 | the pile datasets url seems to change back | {
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"Thanks for reporting, @wjfwzzc.\r\n\r\nI am transferring this issue to the corresponding dataset on the Hub: https://huggingface.co/datasets/bookcorpusopen/discussions/1",
"Thank you. All fixes are done:\r\n- [x] https://huggingface.co/datasets/bookcorpusopen/discussions/2\r\n- [x] https://huggingface.co/dataset... | 2023-02-17T08:40:11 | 2023-02-21T06:37:00 | 2023-02-20T08:41:33 | NONE | null | ### Describe the bug
in #3627, the host url of the pile dataset became `https://mystic.the-eye.eu`. Now the new url is broken, but `https://the-eye.eu` seems to work again.
### Steps to reproduce the bug
```python3
from datasets import load_dataset
dataset = load_dataset("bookcorpusopen")
```
shows
```python3
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5542 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5542/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5542/comments | https://api.github.com/repos/huggingface/datasets/issues/5542/events | https://github.com/huggingface/datasets/pull/5542 | 1,588,633,724 | PR_kwDODunzps5KLjMl | 5,542 | Avoid saving sparse ChunkedArrays in pyarrow tables | {
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https://api.github.com/repos/huggingface/datasets/issues/5541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5541/comments | https://api.github.com/repos/huggingface/datasets/issues/5541/events | https://github.com/huggingface/datasets/issues/5541 | 1,588,633,555 | I_kwDODunzps5esJ_T | 5,541 | Flattening indices in selected datasets is extremely inefficient | {
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"Running the script above on the branch https://github.com/huggingface/datasets/pull/5542 results in the expected behaviour:\r\n```\r\nNum chunks for original ds: 1\r\nOriginal ds save/load\r\nsave_to_disk -- RAM memory used: 0.671875 MB -- Total time: 0.255265 s\r\nload_from_disk -- RAM memory used: 42.796875 MB -... | 2023-02-17T01:52:24 | 2023-02-22T13:15:20 | 2023-02-17T11:12:33 | CONTRIBUTOR | null | ### Describe the bug
If we perform a `select` (or `shuffle`, `train_test_split`, etc.) operation on a dataset , we end up with a dataset with an `indices_table`. Currently, flattening such dataset consumes a lot of memory and the resulting flat dataset contains ChunkedArrays with as many chunks as there are rows. Thi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5540/comments | https://api.github.com/repos/huggingface/datasets/issues/5540/events | https://github.com/huggingface/datasets/pull/5540 | 1,588,438,344 | PR_kwDODunzps5KK5qz | 5,540 | Tutorial for creating a dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/5539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5539/comments | https://api.github.com/repos/huggingface/datasets/issues/5539/events | https://github.com/huggingface/datasets/issues/5539 | 1,587,970,083 | I_kwDODunzps5epoAj | 5,539 | IndexError: invalid index of a 0-dim tensor. Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a number | {
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"Hi! The `set_transform` does not apply a custom formatting transform on a single example but the entire batch, so the fixed version of your transform would look as follows:\r\n```python\r\nfrom datasets import load_dataset\r\nimport torch\r\n\r\ndataset = load_dataset(\"lambdalabs/pokemon-blip-captions\", split='t... | 2023-02-16T16:08:51 | 2023-02-22T10:30:30 | 2023-02-21T13:03:57 | NONE | null | ### Describe the bug
When dataset contains a 0-dim tensor, formatting.py raises a following error and fails.
```bash
Traceback (most recent call last):
File "<path>/lib/python3.8/site-packages/datasets/formatting/formatting.py", line 501, in format_row
return _unnest(formatted_batch)
File "<path>/lib/py... | {
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https://api.github.com/repos/huggingface/datasets/issues/5538 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5538/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5538/comments | https://api.github.com/repos/huggingface/datasets/issues/5538/events | https://github.com/huggingface/datasets/issues/5538 | 1,587,732,596 | I_kwDODunzps5eouB0 | 5,538 | load_dataset in seaborn is not working for me. getting this error. | {
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"Hi! `seaborn`'s `load_dataset` pulls datasets from [here](https://github.com/mwaskom/seaborn-data) and not from our Hub, so this issue is not related to our library in any way and should be reported in their repo instead."
] | 2023-02-16T14:01:58 | 2023-02-16T14:44:36 | 2023-02-16T14:44:36 | NONE | null | TimeoutError Traceback (most recent call last)
~\anaconda3\lib\urllib\request.py in do_open(self, http_class, req, **http_conn_args)
1345 try:
-> 1346 h.request(req.get_method(), req.selector, req.data, headers,
1347 encode_chu... | {
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"Hi ! `enc` is not hashable:\r\n```python\r\nimport tiktoken\r\nfrom datasets.fingerprint import Hasher\r\n\r\nenc = tiktoken.get_encoding(\"gpt2\")\r\nHasher.hash(enc)\r\n# raises TypeError: cannot pickle 'builtins.CoreBPE' object\r\n```\r\nIt happens because it's not picklable, and because of that it's not possib... | 2023-02-16T03:12:07 | 2023-02-28T10:21:28 | 2023-02-16T14:56:41 | NONE | null | ### Describe the bug
_Parameter 'function'=<function process at 0x7f1ec4388af0> of the transform datasets.arrow_dataset.Dataset.\_map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and ca... | {
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https://api.github.com/repos/huggingface/datasets/issues/5535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5535/comments | https://api.github.com/repos/huggingface/datasets/issues/5535/events | https://github.com/huggingface/datasets/pull/5535 | 1,586,520,369 | PR_kwDODunzps5KEb5L | 5,535 | Add JAX-formatting documentation | {
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As a follow-up of #5522, I've created this entry in the documentation to explain how to use `.with_format("jax")` and why is it useful.
@lhoestq Feel free to drop any feedback and/or suggestion, as probably more useful features can be included there! | {
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https://api.github.com/repos/huggingface/datasets/issues/5533 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5533/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5533/comments | https://api.github.com/repos/huggingface/datasets/issues/5533/events | https://github.com/huggingface/datasets/pull/5533 | 1,585,885,871 | PR_kwDODunzps5KCR5I | 5,533 | Add reduce function | {
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I tried to imitate the `reduce`-method from `functools`, i.e. the function input must be a binary operation. I assume that the input type has an empty element, i.e. `input_type()` is defined, as the acumulant is instantiated as this object - im not sure that is this a reasonable assumption?
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https://api.github.com/repos/huggingface/datasets/issues/5532 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5532/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5532/comments | https://api.github.com/repos/huggingface/datasets/issues/5532/events | https://github.com/huggingface/datasets/issues/5532 | 1,584,505,128 | I_kwDODunzps5ecaEo | 5,532 | train_test_split in arrow_dataset does not ensure to keep single classes in test set | {
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"Hi! You can get this behavior by specifying `stratify_by_column=\"label\"` in `train_test_split`.\r\n\r\nThis is the full example:\r\n```python\r\nimport numpy as np\r\nfrom datasets import Dataset, ClassLabel\r\n\r\ndata = [\r\n {'label': 0, 'text': \"example1\"},\r\n {'label': 1, 'text': \"example2\"},\r\n... | 2023-02-14T16:52:29 | 2023-02-15T16:09:19 | 2023-02-15T16:09:19 | NONE | null | ### Describe the bug
When I have a dataset with very few (e.g. 1) examples per class and I call the train_test_split function on it, sometimes the single class will be in the test set. thus will never be considered for training.
### Steps to reproduce the bug
```
import numpy as np
from datasets import Dataset
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5530 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5530/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5530/comments | https://api.github.com/repos/huggingface/datasets/issues/5530/events | https://github.com/huggingface/datasets/pull/5530 | 1,582,938,241 | PR_kwDODunzps5J4W_4 | 5,530 | Add missing license in `NumpyFormatter` | {
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As discussed with @lhoestq in https://github.com/huggingface/datasets/pull/5522, the license for `NumpyFormatter` at `datasets/formatting/np_formatter.py` was missing, but present on the rest of the `formatting/*.py` files. So this PR is basically to include it there. | {
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https://api.github.com/repos/huggingface/datasets/issues/5529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5529/comments | https://api.github.com/repos/huggingface/datasets/issues/5529/events | https://github.com/huggingface/datasets/pull/5529 | 1,582,501,233 | PR_kwDODunzps5J26Fq | 5,529 | Fix `datasets.load_from_disk`, `DatasetDict.load_from_disk` and `Dataset.load_from_disk` | {
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After playing around a little bit with 🤗`datasets` in Google Cloud Storage (GCS), I found out some things that should be fixed IMO in the code:
* `datasets.load_from_disk` is not checking whether `state.json` is there too when trying to load a `Dataset`, just `dataset_info.json` is checked
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https://api.github.com/repos/huggingface/datasets/issues/5527 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5527/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5527/comments | https://api.github.com/repos/huggingface/datasets/issues/5527/events | https://github.com/huggingface/datasets/pull/5527 | 1,581,228,531 | PR_kwDODunzps5JysSM | 5,527 | Fix benchmarks CI - pin protobuf | {
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https://api.github.com/repos/huggingface/datasets/issues/5525 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5525/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5525/comments | https://api.github.com/repos/huggingface/datasets/issues/5525/events | https://github.com/huggingface/datasets/issues/5525 | 1,580,342,729 | I_kwDODunzps5eMh3J | 5,525 | TypeError: Couldn't cast array of type string to null | {
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"Thanks for reporting, @TJ-Solergibert.\r\n\r\nWe cannot access your Colab notebook: `There was an error loading this notebook. Ensure that the file is accessible and try again.`\r\nCould you please make it publicly accessible?\r\n",
"I swear it's public, I've checked the settings and I've been able to open it in... | 2023-02-10T21:12:36 | 2023-02-14T17:41:08 | 2023-02-14T09:35:49 | NONE | null | ### Describe the bug
Processing a dataset I alredy uploaded to the Hub (https://huggingface.co/datasets/tj-solergibert/Europarl-ST) I found that for some splits and some languages (test split, source_lang = "nl") after applying a map function I get the mentioned error.
I alredy tried reseting the shorter strings... | {
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https://api.github.com/repos/huggingface/datasets/issues/5524 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5524/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5524/comments | https://api.github.com/repos/huggingface/datasets/issues/5524/events | https://github.com/huggingface/datasets/pull/5524 | 1,580,219,454 | PR_kwDODunzps5JvbMw | 5,524 | [INVALID PR] | {
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## What's in this PR?
~~Basically, I've removed the 🤗`datasets` installation as `python -m pip install ".[quality]" in the `check_code_quality` job in `.github/workflows/ci.yaml`, as we don't need to install the whole package to run the CI, unless that's done on purpose e.g. to ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5522/comments | https://api.github.com/repos/huggingface/datasets/issues/5522/events | https://github.com/huggingface/datasets/pull/5522 | 1,580,183,124 | PR_kwDODunzps5JvTVp | 5,522 | Minor changes in JAX-formatting docstrings & type-hints | {
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## What's in this PR?
I was exploring the code regarding the `JaxFormatter` implemented in 🤗`datasets`, and found some things that IMO could be changed. Those are mainly regarding the docstrings and the type-hints based on `jax`'s 0.4.1 release where `jax.Array` was introduced a... | {
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https://api.github.com/repos/huggingface/datasets/issues/5521 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5521/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5521/comments | https://api.github.com/repos/huggingface/datasets/issues/5521/events | https://github.com/huggingface/datasets/pull/5521 | 1,578,418,289 | PR_kwDODunzps5JpWnp | 5,521 | Fix bug when casting empty array to class labels | {
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https://api.github.com/repos/huggingface/datasets/issues/5520 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5520/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5520/comments | https://api.github.com/repos/huggingface/datasets/issues/5520/events | https://github.com/huggingface/datasets/issues/5520 | 1,578,417,074 | I_kwDODunzps5eFLuy | 5,520 | ClassLabel.cast_storage raises TypeError when called on an empty IntegerArray | {
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`ClassLabel.cast_storage` raises `TypeError` when called on an empty `IntegerArray`.
### Steps to reproduce the bug
Minimal steps:
```python
import pyarrow as pa
from datasets import ClassLabel
ClassLabel(names=['foo', 'bar']).cast_storage(pa.array([], pa.int64()))
```
In practice, thi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5519 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5519/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5519/comments | https://api.github.com/repos/huggingface/datasets/issues/5519/events | https://github.com/huggingface/datasets/pull/5519 | 1,578,341,785 | PR_kwDODunzps5JpGPl | 5,519 | Format code with `ruff` | {
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TODO:
- [x] ~Merge the community contributors' PR to avoid having to run `make style` on thei... | {
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https://api.github.com/repos/huggingface/datasets/issues/5518 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5518/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5518/comments | https://api.github.com/repos/huggingface/datasets/issues/5518/events | https://github.com/huggingface/datasets/pull/5518 | 1,578,203,962 | PR_kwDODunzps5Joom3 | 5,518 | Remove py.typed | {
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https://api.github.com/repos/huggingface/datasets/issues/5516 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5516/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5516/comments | https://api.github.com/repos/huggingface/datasets/issues/5516/events | https://github.com/huggingface/datasets/pull/5516 | 1,577,661,640 | PR_kwDODunzps5JmzPQ | 5,516 | Reload features from Parquet metadata | {
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Attaches feature metadata to parquet files serialised using `Dataset.to_parquet`.
This allows retrieving data with "rich" feature types (e.g., `datasets.features.image.Image` or `datasets.features.audio.Audio`) from parquet files without cumbersome casting (for an example, see #5482).
@lhoest... | {
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https://api.github.com/repos/huggingface/datasets/issues/5515 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5515/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5515/comments | https://api.github.com/repos/huggingface/datasets/issues/5515/events | https://github.com/huggingface/datasets/pull/5515 | 1,577,590,611 | PR_kwDODunzps5Jmj5X | 5,515 | Unify `load_from_cache_file` type and logic | {
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* Added logic for cache checking if needed
* Updated documentation following the wording of `Dataset.map` | {
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https://api.github.com/repos/huggingface/datasets/issues/5514 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5514/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5514/comments | https://api.github.com/repos/huggingface/datasets/issues/5514/events | https://github.com/huggingface/datasets/issues/5514 | 1,576,453,837 | I_kwDODunzps5d9sbN | 5,514 | Improve inconsistency of `Dataset.map` interface for `load_from_cache_file` | {
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"Hi, thanks for noticing this! We can't just remove the cache control as this allows us to control where the arrow files generated by the ops are written (cached on disk if enabled or a temporary directory if disabled). The right way to address this inconsistency would be by having `load_from_cache_file=None` by de... | 2023-02-08T16:40:44 | 2023-02-14T14:26:44 | 2023-02-14T14:26:44 | CONTRIBUTOR | null | ### Feature request
1. Replace the `load_from_cache_file` default value to `True`.
2. Remove or alter checks from `is_caching_enabled` logic.
### Motivation
I stumbled over an inconsistency in the `Dataset.map` interface. The documentation (and source) states for the parameter `load_from_cache_file`:
```
load_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5512 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5512/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5512/comments | https://api.github.com/repos/huggingface/datasets/issues/5512/events | https://github.com/huggingface/datasets/pull/5512 | 1,576,142,432 | PR_kwDODunzps5JhtQy | 5,512 | Speed up batched PyTorch DataLoader | {
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close https://github.com/huggingface/datasets/issues/5505 | {
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https://api.github.com/repos/huggingface/datasets/issues/5511 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5511/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5511/comments | https://api.github.com/repos/huggingface/datasets/issues/5511/events | https://github.com/huggingface/datasets/issues/5511 | 1,575,851,768 | I_kwDODunzps5d7Zb4 | 5,511 | Creating a dummy dataset from a bigger one | {
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"Update `datasets` or downgrade `huggingface-hub` ;)\r\n\r\nThe `huggingface-hub` lib did a breaking change a few months ago, and you're using an old version of `datasets` that does't support it",
"Awesome thanks a lot! Everything works just fine with `datasets==2.9.0` :-) "
] | 2023-02-08T10:18:41 | 2023-02-08T10:35:48 | 2023-02-08T10:35:48 | MEMBER | null | ### Describe the bug
I often want to create a dummy dataset from a bigger dataset for fast iteration when training. However, I'm having a hard time doing this especially when trying to upload the dataset to the Hub.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/5508 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5508/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5508/comments | https://api.github.com/repos/huggingface/datasets/issues/5508/events | https://github.com/huggingface/datasets/issues/5508 | 1,573,290,359 | I_kwDODunzps5dxoF3 | 5,508 | Saving a dataset after setting format to torch doesn't work, but only if filtering | {
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"Hey, I'm a research engineer working on language modelling wanting to contribute to open source. I was wondering if I could give it a shot?",
"Hi! This issue was fixed in https://github.com/huggingface/datasets/pull/4972, so please install `datasets>=2.5.0` to avoid it."
] | 2023-02-06T21:08:58 | 2023-02-09T14:55:26 | 2023-02-09T14:55:26 | NONE | null | ### Describe the bug
Saving a dataset after setting format to torch doesn't work, but only if filtering
### Steps to reproduce the bug
```
a = Dataset.from_dict({"b": [1, 2]})
a.set_format('torch')
a.save_to_disk("test_save") # saves successfully
a.filter(None).save_to_disk("test_save_filter") # does not
>> [..... | {
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https://api.github.com/repos/huggingface/datasets/issues/5506 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5506/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5506/comments | https://api.github.com/repos/huggingface/datasets/issues/5506/events | https://github.com/huggingface/datasets/issues/5506 | 1,571,838,641 | I_kwDODunzps5dsFqx | 5,506 | IterableDataset and Dataset return different batch sizes when using Trainer with multiple GPUs | {
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"Hi ! `datasets` doesn't do batching - the PyTorch DataLoader does and is created by the `Trainer`. Do you pass other arguments to training_args with respect to data loading ?\r\n\r\nAlso we recently released `.to_iterable_dataset` that does pretty much what you implemented, but using contiguous shards to get a bet... | 2023-02-06T03:26:03 | 2023-02-08T18:30:08 | 2023-02-08T18:30:07 | NONE | null | ### Describe the bug
I am training a Roberta model using 2 GPUs and the `Trainer` API with a batch size of 256.
Initially I used a standard `Dataset`, but had issues with slow data loading. After reading [this issue](https://github.com/huggingface/datasets/issues/2252), I swapped to loading my dataset as contiguous... | {
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https://api.github.com/repos/huggingface/datasets/issues/5505 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5505/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5505/comments | https://api.github.com/repos/huggingface/datasets/issues/5505/events | https://github.com/huggingface/datasets/issues/5505 | 1,571,720,814 | I_kwDODunzps5dro5u | 5,505 | PyTorch BatchSampler still loads from Dataset one-by-one | {
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"This change seems to come from a few months ago in the PyTorch side. That's good news and it means we may not need to pass a batch_sampler as soon as we add `Dataset.__getitems__` to get the optimal speed :)\r\n\r\nThanks for reporting ! Would you like to open a PR to add `__getitems__` and remove this outdated do... | 2023-02-06T01:14:55 | 2023-02-19T18:27:30 | 2023-02-19T18:27:30 | NONE | null | ### Describe the bug
In [the docs here](https://huggingface.co/docs/datasets/use_with_pytorch#use-a-batchsampler), it mentions the issue of the Dataset being read one-by-one, then states that using a BatchSampler resolves the issue.
I'm not sure if this is a mistake in the docs or the code, but it seems that the on... | {
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https://api.github.com/repos/huggingface/datasets/issues/5504 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5504/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5504/comments | https://api.github.com/repos/huggingface/datasets/issues/5504/events | https://github.com/huggingface/datasets/pull/5504 | 1,570,621,242 | PR_kwDODunzps5JPoWy | 5,504 | don't zero copy timestamps | {
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I'm not sure whether we prefer a test here or if timestamps are known to be unsupported (like booleans). The current test at least covers the bug | {
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https://api.github.com/repos/huggingface/datasets/issues/5502 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5502/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5502/comments | https://api.github.com/repos/huggingface/datasets/issues/5502/events | https://github.com/huggingface/datasets/pull/5502 | 1,570,091,225 | PR_kwDODunzps5JN0aX | 5,502 | Added functionality: sort datasets by multiple keys | {
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"I update the `datatsets` version and it works."
] | 2023-02-03T05:45:37 | 2023-02-03T05:52:56 | 2023-02-03T05:52:56 | NONE | null | ### Describe the bug
I use the following scripts to download data from WMT19:
```python
import datasets
from datasets import inspect_dataset, load_dataset_builder
from wmt19.wmt_utils import _TRAIN_SUBSETS,_DEV_SUBSETS
## this is a must due to: https://discuss.huggingface.co/t/load-dataset-hangs-with-local-fi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5498 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5498/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5498/comments | https://api.github.com/repos/huggingface/datasets/issues/5498/events | https://github.com/huggingface/datasets/issues/5498 | 1,568,190,529 | I_kwDODunzps5deLBB | 5,498 | TypeError: 'bool' object is not iterable when filtering a datasets.arrow_dataset.Dataset | {
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"Hi! Instead of a single boolean, your filter function should return an iterable (of booleans) in the batched mode like so:\r\n```python\r\ntrain_dataset = train_dataset.filter(\r\n function=lambda batch: [image is not None for image in batch[\"image\"]], \r\n batched=True,\r\n batc... | 2023-02-02T14:46:49 | 2023-02-04T17:19:37 | 2023-02-04T17:19:36 | NONE | null | ### Describe the bug
Hi,
Thanks for the amazing work on the library!
**Describe the bug**
I think I might have noticed a small bug in the filter method.
Having loaded a dataset using `load_dataset`, when I try to filter out empty entries with `batched=True`, I get a TypeError.
### Steps to reproduce the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5497 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5497/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5497/comments | https://api.github.com/repos/huggingface/datasets/issues/5497/events | https://github.com/huggingface/datasets/pull/5497 | 1,567,601,264 | PR_kwDODunzps5JFhvc | 5,497 | Improved error message for gated/private repos | {
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See https://github.com/huggingface/huggingface_hub/pull/1064 | {
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https://api.github.com/repos/huggingface/datasets/issues/5495 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5495/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5495/comments | https://api.github.com/repos/huggingface/datasets/issues/5495/events | https://github.com/huggingface/datasets/issues/5495 | 1,566,803,452 | I_kwDODunzps5dY4X8 | 5,495 | to_tf_dataset fails with datetime UTC columns even if not included in columns argument | {
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"Hi! This is indeed a bug in our zero-copy logic.\r\n\r\nTo fix it, instead of the line:\r\nhttps://github.com/huggingface/datasets/blob/7cfac43b980ab9e4a69c2328f085770996323005/src/datasets/features/features.py#L702\r\n\r\nwe should have:\r\n```python\r\nreturn pa.types.is_primitive(pa_type) and not (pa.types.is_b... | 2023-02-01T20:47:33 | 2023-02-08T14:33:19 | 2023-02-08T14:33:19 | CONTRIBUTOR | null | ### Describe the bug
There appears to be some eager behavior in `to_tf_dataset` that runs against every column in a dataset even if they aren't included in the columns argument. This is problematic with datetime UTC columns due to them not working with zero copy. If I don't have UTC information in my datetime column... | {
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https://api.github.com/repos/huggingface/datasets/issues/5494 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5494/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5494/comments | https://api.github.com/repos/huggingface/datasets/issues/5494/events | https://github.com/huggingface/datasets/issues/5494 | 1,566,655,348 | I_kwDODunzps5dYUN0 | 5,494 | Update audio installation doc page | {
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"Totally agree, the docs should be in sync with our code.\r\n\r\nIndeed to avoid confusing users, I think we should have updated the docs at the same time as this PR:\r\n- #5167",
"@albertvillanova yeah sure I should have, but I forgot back then, sorry for that 😶",
"No, @polinaeterna, nothing to be sorry about... | 2023-02-01T19:07:50 | 2023-03-02T16:08:17 | 2023-03-02T16:08:17 | CONTRIBUTOR | null | Our [installation documentation page](https://huggingface.co/docs/datasets/installation#audio) says that one can use Datasets for mp3 only with `torchaudio<0.12`. `torchaudio>0.12` is actually supported too but requires a specific version of ffmpeg which is not easily installed on all linux versions but there is a cust... | {
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https://api.github.com/repos/huggingface/datasets/issues/5493 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5493/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5493/comments | https://api.github.com/repos/huggingface/datasets/issues/5493/events | https://github.com/huggingface/datasets/pull/5493 | 1,566,637,806 | PR_kwDODunzps5JCSAZ | 5,493 | Remove unused `load_from_cache_file` arg from `Dataset.shard()` docstring | {
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https://api.github.com/repos/huggingface/datasets/issues/5491 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5491/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5491/comments | https://api.github.com/repos/huggingface/datasets/issues/5491/events | https://github.com/huggingface/datasets/pull/5491 | 1,566,235,012 | PR_kwDODunzps5JA9OD | 5,491 | [MINOR] Typo | {
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https://api.github.com/repos/huggingface/datasets/issues/5490 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5490/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5490/comments | https://api.github.com/repos/huggingface/datasets/issues/5490/events | https://github.com/huggingface/datasets/pull/5490 | 1,565,842,327 | PR_kwDODunzps5I_nz- | 5,490 | Do not add index column by default when exporting to CSV | {
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This PR changes the default behavior, so that now the index column is not written.
To add the index column, now you need to pass `index=True` and also `index_label=<name of the index colum>` t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5489 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5489/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5489/comments | https://api.github.com/repos/huggingface/datasets/issues/5489/events | https://github.com/huggingface/datasets/pull/5489 | 1,565,761,705 | PR_kwDODunzps5I_WPH | 5,489 | Pin dill lower version | {
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Related to:
- #5487
- #288
Note that the required `dill._dill` module was introduced in dill-2.8.0, however we have heuristically tested that datasets can only be installed with dill>=3.0.0 (otherwise pip hangs indefinitely while preparing metadata for multip... | {
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https://api.github.com/repos/huggingface/datasets/issues/5488 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5488/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5488/comments | https://api.github.com/repos/huggingface/datasets/issues/5488/events | https://github.com/huggingface/datasets/issues/5488 | 1,565,025,262 | I_kwDODunzps5dSGPu | 5,488 | Error loading MP3 files from CommonVoice | {
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"Hi @kradonneoh, thanks for reporting.\r\n\r\nPlease note that to work with audio datasets (and specifically with MP3 files) we have detailed installation instructions in our docs: https://huggingface.co/docs/datasets/installation#audio\r\n- one of the requirements is torchaudio<0.12.0\r\n\r\nLet us know if the pro... | 2023-01-31T21:25:33 | 2023-03-02T16:25:14 | 2023-03-02T16:25:13 | NONE | null | ### Describe the bug
When loading a CommonVoice dataset with `datasets==2.9.0` and `torchaudio>=0.12.0`, I get an error reading the audio arrays:
```python
---------------------------------------------------------------------------
LibsndfileError Traceback (most recent call last)
~/.l... | {
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https://api.github.com/repos/huggingface/datasets/issues/5487 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5487/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5487/comments | https://api.github.com/repos/huggingface/datasets/issues/5487/events | https://github.com/huggingface/datasets/issues/5487 | 1,564,480,121 | I_kwDODunzps5dQBJ5 | 5,487 | Incorrect filepath for dill module | {
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"Hi! The correct path is still `dill._dill.XXXX` in the latest release. What do you get when you run `python -c \"import dill; print(dill.__version__)\"` in your environment?",
"`0.3.6` I feel like that's bad news, because it's probably not the issue.\r\n\r\nMy mistake, about the wrong path guess. I think I did... | 2023-01-31T15:01:08 | 2023-02-24T16:18:36 | 2023-02-24T16:18:36 | NONE | null | ### Describe the bug
I installed the `datasets` package and when I try to `import` it, I get the following error:
```
Traceback (most recent call last):
File "/var/folders/jt/zw5g74ln6tqfdzsl8tx378j00000gn/T/ipykernel_3805/3458380017.py", line 1, in <module>
import datasets
File "/Users/avivbrokman/... | {
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https://api.github.com/repos/huggingface/datasets/issues/5485 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5485/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5485/comments | https://api.github.com/repos/huggingface/datasets/issues/5485/events | https://github.com/huggingface/datasets/pull/5485 | 1,563,002,829 | PR_kwDODunzps5I2ER2 | 5,485 | Add section in tutorial for IterableDataset | {
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cc: @sayakpaul @lhoestq
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"Seems to work now, perhaps it was something internal with our university's network."
] | 2023-01-28T15:18:26 | 2023-01-29T08:09:49 | 2023-01-29T08:09:49 | NONE | null | ### Describe the bug
Uploading a simple dataset ends with an exception
### Steps to reproduce the bug
I created a new conda env with python 3.10, pip installed datasets and:
```python
>>> from datasets import load_dataset, load_from_disk, Dataset
>>> d = Dataset.from_dict({"text": ["hello"] * 2})
>>> d.pus... | {
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"I'd be happy to have a look, if nobody else has started working on this yet @lhoestq. \r\n\r\nIt seems to me that for the `arrow` format features are currently attached as metadata [in `datasets.arrow_writer`](https://github.com/huggingface/datasets/blob/5f810b7011a8a4ab077a1847c024d2d9e267b065/src/datasets/arrow_... | 2023-01-28T13:12:31 | 2023-02-12T15:57:02 | 2023-02-12T15:57:02 | MEMBER | null | The idea would be to allow this :
```python
ds.to_parquet("my_dataset/ds.parquet")
reloaded = load_dataset("my_dataset")
assert ds.features == reloaded.features
```
And it should also work with Image and Audio types (right now they're reloaded as a dict type)
This can be implemented by storing and reading th... | {
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I'm using a custom audio dataset (400+ audio files) in the correct format for audiofolder. Although loading the dataset with audiofolder works in one local setup, it doesn't in a remote one (it just creates an empty dataset). I have both ffmpeg and libndfile installed on both computers, what cou... | {
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the error comes from pandas: https://github.com/pandas-dev/pandas/issues/51015 | {
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"Hi ! In your code you only iterate on the Arrow buffers - you don't actually load the data as python objects. For a fair comparison, you can modify your code using:\r\n```diff\r\n- for _ in range(0, len(table), bsz):\r\n- _ = {k:table[k][_ : _ + bsz] for k in cols}\r\n+ for _ in range(0, len(table)... | 2023-01-27T01:32:25 | 2023-01-30T16:17:11 | 2023-01-30T16:17:11 | CONTRIBUTOR | null | ### Describe the bug
I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orders of magnitude). Is there something I'm missing that exp... | {
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"Hi ! This would be a nice addition indeed :) This sounds like a duplicate of https://github.com/huggingface/datasets/issues/5468\r\n\r\n> Not sure. Some of my PRs are still open and some do not have any discussions.\r\n\r\nSorry to hear that, feel free to ping me on those PRs"
] | 2023-01-26T21:47:53 | 2023-02-13T09:59:37 | 2023-02-13T09:59:37 | CONTRIBUTOR | null | ### Feature request
There is no operation to select a subset of columns of original dataset. Expected API follows.
```python
a = Dataset.from_dict({
'int': [0, 1, 2]
'char': ['a', 'b', 'c'],
'none': [None] * 3,
})
b = a.project('int', 'char') # usually, .select()
print(a.column_names) # std... | {
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https://api.github.com/repos/huggingface/datasets/issues/5471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5471/comments | https://api.github.com/repos/huggingface/datasets/issues/5471/events | https://github.com/huggingface/datasets/pull/5471 | 1,558,557,545 | PR_kwDODunzps5InPA7 | 5,471 | Add num_test_batches option | {
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https://api.github.com/repos/huggingface/datasets/issues/5469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5469/comments | https://api.github.com/repos/huggingface/datasets/issues/5469/events | https://github.com/huggingface/datasets/pull/5469 | 1,558,346,906 | PR_kwDODunzps5Imhk2 | 5,469 | Remove deprecated `shard_size` arg from `.push_to_hub()` | {
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"Hi! I agree it would be nice to have a method like that. Instead of `keep_columns`, we can name it `select_columns` to be more aligned with PyArrow's naming convention (`pa.Table.select`).",
"Hi, I am a newbie to open source and would like to contribute. @mariosasko can I take up this issue ?",
"Hey, I also wa... | 2023-01-26T12:28:09 | 2023-02-13T09:59:38 | 2023-02-13T09:59:38 | NONE | null | ### Feature request
In this blog post https://huggingface.co/blog/audio-datasets, I noticed the following code:
```python
COLUMNS_TO_KEEP = ["text", "audio"]
all_columns = gigaspeech["train"].column_names
columns_to_remove = set(all_columns) - set(COLUMNS_TO_KEEP)
gigaspeech = gigaspeech.remove_columns(column... | {
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https://api.github.com/repos/huggingface/datasets/issues/5467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5467/comments | https://api.github.com/repos/huggingface/datasets/issues/5467/events | https://github.com/huggingface/datasets/pull/5467 | 1,557,898,273 | PR_kwDODunzps5IlAlk | 5,467 | Fix conda command in readme | {
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```
conda install -c huggingface datasets
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/5466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5466/comments | https://api.github.com/repos/huggingface/datasets/issues/5466/events | https://github.com/huggingface/datasets/pull/5466 | 1,557,584,845 | PR_kwDODunzps5Ij-z1 | 5,466 | remove pathlib.Path with URIs | {
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https://api.github.com/repos/huggingface/datasets/issues/5465 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5465/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5465/comments | https://api.github.com/repos/huggingface/datasets/issues/5465/events | https://github.com/huggingface/datasets/issues/5465 | 1,557,510,618 | I_kwDODunzps5c1bna | 5,465 | audiofolder creates empty dataset even though the dataset passed in follows the correct structure | {
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The structure of my dataset folder called "my_dataset" is : data metadata.csv
The data folder consists of all mp3 files and metadata.csv consist of file locations like 'data/...mp3 and transcriptions. There's 400+ mp3 files and corresponding transcriptions for my dataset.
When I run the follo... | {
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"Thanks for reporting, @sarahwie.\r\n\r\nPlease note this issue was already fixed in `datasets` 2.6.0 version:\r\n- #5040\r\n\r\nIf you update your `datasets` version, you will be able to load the dataset:\r\n```\r\npip install -U datasets\r\n```",
"Oops, missed that I needed to upgrade. Thanks!"
] | 2023-01-26T00:43:23 | 2023-01-27T05:44:31 | 2023-01-26T07:41:58 | NONE | null | ### Describe the bug
The checksum of the file has likely changed on the remote host.
### Steps to reproduce the bug
`dataset = nlp.load_dataset("hendrycks_test", "anatomy")`
### Expected behavior
no error thrown
### Environment info
- `datasets` version: 2.2.1
- Platform: macOS-13.1-arm64-arm-64bit
- Pyt... | {
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https://api.github.com/repos/huggingface/datasets/issues/5462 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5462/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5462/comments | https://api.github.com/repos/huggingface/datasets/issues/5462/events | https://github.com/huggingface/datasets/pull/5462 | 1,556,572,144 | PR_kwDODunzps5Iglqu | 5,462 | Concatenate on axis=1 with misaligned blocks | {
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For example if the first table has 2 row blocks of 3 rows each, and the second table has 3 row blocks or 2 rows each.
To do that, I slice the row blocks to re-align the blocks.
Fix https://github.com/huggingface/datasets/issues/5413 | {
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https://api.github.com/repos/huggingface/datasets/issues/5459 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5459/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5459/comments | https://api.github.com/repos/huggingface/datasets/issues/5459/events | https://github.com/huggingface/datasets/pull/5459 | 1,555,367,504 | PR_kwDODunzps5Icjwe | 5,459 | Disable aiohttp requoting of redirection URL | {
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This is a problem for our Hugging Face Hub, which requires exact URL from location header.
Specifically, in the query component of the URL (`https://netloc/path?query`), the value for `re... | {
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"Hi! Yes, that's correct. When `streaming` is `True`, only split names can be specified as `split`, and for slicing, you have to use `.skip`/`.take` instead.\r\n\r\nE.g. \r\n`load_dataset(\"lhoestq/demo1\",revision=None, streaming=True, split=\"train[:3]\")`\r\n\r\nrewritten with `.skip`/`.take`:\r\n`load_dataset(\... | 2023-01-24T14:08:17 | 2023-01-24T15:11:47 | 2023-01-24T15:11:47 | NONE | null | ### Describe the bug
When using the `load_dataset` function with streaming set to True, slicing splits is apparently not supported.
Did I miss this in the documentation?
### Steps to reproduce the bug
`load_dataset("lhoestq/demo1",revision=None, streaming=True, split="train[:3]")`
causes ValueError: Bad split:... | {
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I noticed also that the `to_json` function supports multi-workers whereas `to_parquet`, is that not possible/not needed with Parquet or something that hasn't been implemented yet? | {
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https://api.github.com/repos/huggingface/datasets/issues/5455 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5455/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5455/comments | https://api.github.com/repos/huggingface/datasets/issues/5455/events | https://github.com/huggingface/datasets/pull/5455 | 1,553,040,080 | PR_kwDODunzps5IUvAZ | 5,455 | Single TQDM bar in multi-proc map | {
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Closes https://github.com/huggingface/datasets/issues/771, closes https://github.com/huggingface/datasets/issue... | {
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https://api.github.com/repos/huggingface/datasets/issues/5453 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5453/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5453/comments | https://api.github.com/repos/huggingface/datasets/issues/5453/events | https://github.com/huggingface/datasets/pull/5453 | 1,552,727,425 | PR_kwDODunzps5ITraa | 5,453 | Fix base directory while extracting insecure TAR files | {
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- 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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https://api.github.com/repos/huggingface/datasets/issues/5452 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5452/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5452/comments | https://api.github.com/repos/huggingface/datasets/issues/5452/events | https://github.com/huggingface/datasets/pull/5452 | 1,552,655,939 | PR_kwDODunzps5ITcA3 | 5,452 | Swap log messages for symbolic/hard links in tar extractor | {
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Found while investigating:
- #5441
CC: @lhoestq | {
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"Hi ! Could you share the full stack trace ? Which dataset did you try to load ?",
"The `BadZipFile` error means the ZIP file is corrupted, so I'm closing this issue as it's not directly related to `datasets`."
] | 2023-01-22T23:50:12 | 2023-02-10T16:31:37 | 2023-02-10T16:31:36 | NONE | null | ### Describe the bug
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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"A possible hint: The function it seems to be spending a lot of time in (when iterating over the original dataset) is `_get_mp` in the PIL JPEG decoder: \r\n
Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data colla... | {
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https://api.github.com/repos/huggingface/datasets/issues/5449 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5449/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5449/comments | https://api.github.com/repos/huggingface/datasets/issues/5449/events | https://github.com/huggingface/datasets/pull/5449 | 1,550,801,453 | PR_kwDODunzps5INgD9 | 5,449 | Support fsspec 2023.1.0 in CI | {
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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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