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https://api.github.com/repos/huggingface/datasets/issues/5817 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5817/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5817/comments | https://api.github.com/repos/huggingface/datasets/issues/5817/events | https://github.com/huggingface/datasets/issues/5817 | 1,694,891,866 | I_kwDODunzps5lBf9a | 5,817 | Setting `num_proc` errors when `.map` returns additional items. | {
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"completed": 0,
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} | null | ### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kw... | {
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https://api.github.com/repos/huggingface/datasets/issues/5816 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5816/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5816/comments | https://api.github.com/repos/huggingface/datasets/issues/5816/events | https://github.com/huggingface/datasets/pull/5816 | 1,694,590,856 | PR_kwDODunzps5Ps4t9 | 5,816 | Preserve `stopping_strategy` of shuffled interleaved dataset (random cycling case) | {
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Fix #5812
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https://api.github.com/repos/huggingface/datasets/issues/5814 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5814/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5814/comments | https://api.github.com/repos/huggingface/datasets/issues/5814/events | https://github.com/huggingface/datasets/pull/5814 | 1,693,216,778 | PR_kwDODunzps5PoOQ9 | 5,814 | Repro windows crash | {
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https://api.github.com/repos/huggingface/datasets/issues/5815 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5815/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5815/comments | https://api.github.com/repos/huggingface/datasets/issues/5815/events | https://github.com/huggingface/datasets/issues/5815 | 1,693,701,743 | I_kwDODunzps5k89Zv | 5,815 | Easy way to create a Kaggle dataset from a Huggingface dataset? | {
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} | null | I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
![image](https://user... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5813/comments | https://api.github.com/repos/huggingface/datasets/issues/5813/events | https://github.com/huggingface/datasets/pull/5813 | 1,691,908,535 | PR_kwDODunzps5Pj0_E | 5,813 | [DO-NOT-MERGE] Debug Windows issue at #3 | {
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https://api.github.com/repos/huggingface/datasets/issues/5812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5812/comments | https://api.github.com/repos/huggingface/datasets/issues/5812/events | https://github.com/huggingface/datasets/issues/5812 | 1,691,798,169 | I_kwDODunzps5k1sqZ | 5,812 | Cannot shuffle interleaved IterableDataset with "all_exhausted" stopping strategy | {
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} | null | ### Describe the bug
Shuffling interleaved `IterableDataset` with "all_exhausted" strategy yields non-exhaustive sampling.
### Steps to reproduce the bug
```py
from datasets import IterableDataset, interleave_datasets
def gen(bias, length):
for i in range(length):
yield dict(a=bias+i)
seed = 42
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5811 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5811/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5811/comments | https://api.github.com/repos/huggingface/datasets/issues/5811/events | https://github.com/huggingface/datasets/issues/5811 | 1,689,919,046 | I_kwDODunzps5kuh5G | 5,811 | load_dataset: TypeError: 'NoneType' object is not callable, on local dataset filename changes | {
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} | null | ### Describe the bug
I've adapted Databrick's [train_dolly.py](/databrickslabs/dolly/blob/master/train_dolly.py) to train using a local dataset, which has been working. Upon changing the filenames of the `.json` & `.py` files in my local dataset directory, `dataset = load_dataset(path_or_dataset)["train"]` throws th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5810 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5810/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5810/comments | https://api.github.com/repos/huggingface/datasets/issues/5810/events | https://github.com/huggingface/datasets/pull/5810 | 1,689,917,822 | PR_kwDODunzps5PdJHI | 5,810 | Add `fn_kwargs` to `map` and `filter` of `IterableDataset` and `IterableDatasetDict` | {
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I've added an argument`fn_kwargs` for map and filter methods of `IterableDataset` and `IterableDatasetDict` classes.
# Details
Currently, the map and filter methods of some classes related to `IterableDataset` do not allow specifing the arguments passed to the function. This pull request adds `fn_kwargs... | {
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https://api.github.com/repos/huggingface/datasets/issues/5809 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5809/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5809/comments | https://api.github.com/repos/huggingface/datasets/issues/5809/events | https://github.com/huggingface/datasets/issues/5809 | 1,689,797,293 | I_kwDODunzps5kuEKt | 5,809 | wiki_dpr details for Open Domain Question Answering tasks | {
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Thanks for creating the wiki_dpr dataset!
I am currently trying to combine wiki_dpr and my own datasets. but I don't know how to make the embedding value the same way as wiki_dpr.
As an experiment, I embeds the text of id="7" of wiki_dpr, but this result was very different from wiki_dpr. | {
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https://api.github.com/repos/huggingface/datasets/issues/5807 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5807/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5807/comments | https://api.github.com/repos/huggingface/datasets/issues/5807/events | https://github.com/huggingface/datasets/pull/5807 | 1,688,977,237 | PR_kwDODunzps5PaKRE | 5,807 | Support parallelized downloading in load_dataset with Spark | {
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Parallelizing dataset processing is not supported in this PR. | {
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} | null | ### Feature request
Add an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
### Motivation
When training large language models, machine problems may interrupt... | null | {
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} | null | Our [tutorial on how to create a dataset](https://huggingface.co/docs/datasets/create_dataset) is a bit misleading.
1. In **Folder-based builders** section it says that we have two folder-based builders as standard builders, but we also have similar builders (that can be created from directory with data of required f... | null | {
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See: https://github.com/huggingface/datasets/pull/5787#discussion_r1178862327 | {
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https://api.github.com/repos/huggingface/datasets/issues/5800 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5800/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5800/comments | https://api.github.com/repos/huggingface/datasets/issues/5800/events | https://github.com/huggingface/datasets/pull/5800 | 1,686,348,096 | PR_kwDODunzps5PRTRh | 5,800 | Change downloaded file permission based on umask | {
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Related to:
- #2157
Fix #5799.
CC: @stas00 | {
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```bash
$ ls -l /path/to/cache/datasets/downloads/
-rw------- 1 uername username 150M Apr 25 16:41 5e646c1d600f065adaeb134e536f6f2f296a6d804bd1f0e1fdcd20ee28c185c6
```
Related to:
- #2065 | {
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} | null | ### Feature request
When calling `load_dataset` for datasets that have multiple files, support using Spark to distribute the downloading and processing job to worker nodes when `cache_dir` is a cloud file system shared among nodes.
```python
load_dataset(..., use_spark=True)
```
### Motivation
Further speed up ... | null | {
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} | null | ### Describe the bug
load_dataset() function is case sensitive?
### Steps to reproduce the bug
The following two code, get totally different behavior.
1. load_dataset('mbzuai/bactrian-x','en')
2. load_dataset('MBZUAI/Bactrian-X','en')
### Expected behavior
Compare 1 and 2.
1 will download all 52 subsets, sh... | null | {
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cc @maddiedawson | {
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```
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_frugalscore - ZeroDivisionError: float division by zero
```
See for example:
- https://github.com/huggingface/datasets/actions/runs/4809358266/jobs/8560513110
- https:/... | {
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After calling the with_format("torch") method on an IterableDataset instance, the data format is unchanged.
### Steps to reproduce the bug
```python
from datasets import IterableDataset
def gen():
for i in range(4):
yield {"a": [i] * 4}
dataset = IterableDataset.from_generator(g... | {
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} | null | ### Feature request
I currently have a dataset (with tiff and json files) where I have to do this:
`wget path_to_data/images.zip && unzip images.zip`
`wget path_to_data/annotations.zip && unzip annotations.zip`
Would it make sense a contribution that supports these type of files?
### Motivation
instead o... | {
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https://api.github.com/repos/huggingface/datasets/issues/5790 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5790/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5790/comments | https://api.github.com/repos/huggingface/datasets/issues/5790/events | https://github.com/huggingface/datasets/pull/5790 | 1,683,229,126 | PR_kwDODunzps5PG0mJ | 5,790 | Allow to run CI on push to ci-branch | {
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} | null | This PR allows to run the CI on push to a branch named "ci-*", without needing to open a PR.
- This will allow to make CI tests without opening a PR, e.g., for future `huggingface-hub` releases, future dependency releases (like `fsspec`, `pandas`,...)
Note that to build the documentation, we already allow it on pus... | {
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Currently, if `jsonlines` is installed, `datasets` raises a `FileNotFoundError`:
```
FileNotFoundError: [Errno 2] No such file or directory: 'https://...'
```
See:
- https://huggingface.co/datasets/masakhane/afriqa/discussions/1 | null | {
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} | null | Related to the coming release of `huggingface_hub==0.14.0`. It will break some internal tests. The PR fixes these tests. Let's double-check the CI but I expect the fixed tests to be running fine with both `hfh<=0.13.4` and `hfh==0.14`. Worth case scenario, existing PRs will have to be rebased once this fix is merged.
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```
FileNotFoundError: No (supported) data files or dataset script found in <dataset_name>
```
Fix #5785. | {
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"completed": 0,
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} | null | ### Describe the bug
I am trying to use a Pytorch model loaded on CPUs with multiple processes with a `.map` or a `.filter` method.
Usually, when dealing with models that are non-pickable, creating a class such that the `map` function is the method `__call__`, and adding `reduce` helps to solve the problem.
Howe... | {
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https://api.github.com/repos/huggingface/datasets/issues/5785 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5785/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5785/comments | https://api.github.com/repos/huggingface/datasets/issues/5785/events | https://github.com/huggingface/datasets/issues/5785 | 1,680,956,964 | I_kwDODunzps5kMV4k | 5,785 | Unsupported data files raise TypeError: 'NoneType' object is not iterable | {
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```
TypeError: 'NoneType' object is not iterable
```
See:
- https://github.com/huggingface/datasets-server/issues/1073
We should give a more informative error message. | {
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https://api.github.com/repos/huggingface/datasets/issues/5784 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5784/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5784/comments | https://api.github.com/repos/huggingface/datasets/issues/5784/events | https://github.com/huggingface/datasets/pull/5784 | 1,680,950,726 | PR_kwDODunzps5O_G9S | 5,784 | Raise subprocesses traceback when interrupting | {
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} | null | When a subprocess hangs in `filter` or `map`, one should be able to get the subprocess' traceback when interrupting the main process. Right now it shows nothing.
To do so I `.get()` the subprocesses async results even the main process is stopped with e.g. `KeyboardInterrupt`. I added a timeout in case the subprocess... | {
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https://api.github.com/repos/huggingface/datasets/issues/5783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5783/comments | https://api.github.com/repos/huggingface/datasets/issues/5783/events | https://github.com/huggingface/datasets/issues/5783 | 1,679,664,393 | I_kwDODunzps5kHaUJ | 5,783 | Offset overflow while doing regex on a text column | {
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} | null | ### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
```
import datasets
import re
ds = datasets.lo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5782 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5782/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5782/comments | https://api.github.com/repos/huggingface/datasets/issues/5782/events | https://github.com/huggingface/datasets/issues/5782 | 1,679,622,367 | I_kwDODunzps5kHQDf | 5,782 | Support for various audio-loading backends instead of always relying on SoundFile | {
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} | null | ### Feature request
Introduce an option to select from a variety of audio-loading backends rather than solely relying on the SoundFile library. For instance, if the ffmpeg library is installed, it can serve as a fallback loading option.
### Motivation
- The SoundFile library, used in [features/audio.py](https://gith... | {
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https://api.github.com/repos/huggingface/datasets/issues/5781 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5781/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5781/comments | https://api.github.com/repos/huggingface/datasets/issues/5781/events | https://github.com/huggingface/datasets/issues/5781 | 1,679,580,460 | I_kwDODunzps5kHF0s | 5,781 | Error using `load_datasets` | {
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"completed": 0,
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} | null | ### Describe the bug
I tried to load a dataset using the `datasets` library in a conda jupyter notebook and got the below error.
```
ImportError: dlopen(/Users/gilbertyoung/miniforge3/envs/review_sense/lib/python3.8/site-packages/scipy/sparse/linalg/_isolve/_iterative.cpython-38-darwin.so, 0x0002): Library not ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5780 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5780/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5780/comments | https://api.github.com/repos/huggingface/datasets/issues/5780/events | https://github.com/huggingface/datasets/issues/5780 | 1,679,367,149 | I_kwDODunzps5kGRvt | 5,780 | TypeError: 'NoneType' object does not support item assignment | {
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```
def load_datasets(formats, data_dir=datadir, data_files=datafile）：
dataset = load_dataset(formats, data_dir=datadir, data_files=datafile, split=split, streaming=True, **kwargs)
return dataset
raw_datasets = DatasetDict()
raw_datasets["train"] = load_datasets(“csv”, args.datadir, "train.csv", s... | {
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https://api.github.com/repos/huggingface/datasets/issues/5779 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5779/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5779/comments | https://api.github.com/repos/huggingface/datasets/issues/5779/events | https://github.com/huggingface/datasets/pull/5779 | 1,678,669,865 | PR_kwDODunzps5O3sHp | 5,779 | Call fs.makedirs in save_to_disk | {
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Close https://github.com/huggingface/datasets/issues/5775 | {
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https://api.github.com/repos/huggingface/datasets/issues/5778 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5778/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5778/comments | https://api.github.com/repos/huggingface/datasets/issues/5778/events | https://github.com/huggingface/datasets/issues/5778 | 1,678,125,951 | I_kwDODunzps5kBit_ | 5,778 | Schrödinger's dataset_dict | {
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} | null | ### Describe the bug
If you use load_dataset('json', data_files="path/test.json"), it will return DatasetDict({train:...}).
And if you use load_dataset("path"), it will return DatasetDict({test:...}).
Why can't the output behavior be unified?
### Steps to reproduce the bug
as description above.
### Expected b... | {
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https://api.github.com/repos/huggingface/datasets/issues/5777 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5777/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5777/comments | https://api.github.com/repos/huggingface/datasets/issues/5777/events | https://github.com/huggingface/datasets/issues/5777 | 1,677,655,969 | I_kwDODunzps5j_v-h | 5,777 | datasets.load_dataset("code_search_net", "python") : NotADirectoryError: [Errno 20] Not a directory | {
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} | null | ### Describe the bug
While checking out the [tokenizer tutorial](https://huggingface.co/course/chapter6/2?fw=pt), i noticed getting an error while initially downloading the python dataset used in the examples.
The [collab with the error is here](https://colab.research.google.com/github/huggingface/notebooks/blob/ma... | {
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} | null | Instead of PyArrow's `read_json`, we should use `pd.read_json` in the JSON builder for consistency with the CSV and SQL builders (e.g., to address https://github.com/huggingface/datasets/issues/5725).
In Pandas2.0, to get the same performance, we can set the `engine` to "pyarrow". The issue is that Colab still doesn... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5775/comments | https://api.github.com/repos/huggingface/datasets/issues/5775/events | https://github.com/huggingface/datasets/issues/5775 | 1,677,089,901 | I_kwDODunzps5j9lxt | 5,775 | ArrowDataset.save_to_disk lost some logic of remote | {
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} | null | ### Describe the bug
https://github.com/huggingface/datasets/blob/e7ce0ac60c7efc10886471932854903a7c19f172/src/datasets/arrow_dataset.py#L1371
Here is the bug point, when I want to save from a `DatasetDict` class and the items of the instance is like `[('train', Dataset({features: ..., num_rows: ...}))]` , there ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5774 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5774/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5774/comments | https://api.github.com/repos/huggingface/datasets/issues/5774/events | https://github.com/huggingface/datasets/pull/5774 | 1,676,716,662 | PR_kwDODunzps5OxIMe | 5,774 | Fix style | {
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`ValueError: The train_dataset does not implement __len__, max_steps has to be specified. The number of steps needs to be known in advance for the learning rate scheduler.` | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5772 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5772/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5772/comments | https://api.github.com/repos/huggingface/datasets/issues/5772/events | https://github.com/huggingface/datasets/pull/5772 | 1,675,033,510 | PR_kwDODunzps5OreXV | 5,772 | Fix JSON builder when missing keys in first row | {
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- Either explicitly: by passing index 0 in `dataset[0].keys()`
- Or implicitly: `pa.Table.from_pylist(dataset)`, where "schema (default None): If not passed, will be inferred from the first row of the mapping values"
Thi... | {
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... | closed | false | null | [] | null | [] | 2023-04-19T12:43:53Z | 2023-05-07T17:47:41Z | 2023-05-07T17:47:41 | CONTRIBUTOR | {
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} | null | ### Feature request
It seems that the the current implementation supports cloud storage only for `load_from_disk`. It would be nice if a similar functionality existed in `load_dataset`.
### Motivation
Motivation is pretty clear -- let users work with datasets located in the cloud.
### Your contribution
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5770 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5770/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5770/comments | https://api.github.com/repos/huggingface/datasets/issues/5770/events | https://github.com/huggingface/datasets/pull/5770 | 1,673,581,555 | PR_kwDODunzps5OmntV | 5,770 | Add IterableDataset.from_spark | {
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Related issue: https://github.com/huggingface/datasets/issues/5678 | {
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https://api.github.com/repos/huggingface/datasets/issues/5769 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5769/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5769/comments | https://api.github.com/repos/huggingface/datasets/issues/5769/events | https://github.com/huggingface/datasets/issues/5769 | 1,673,441,182 | I_kwDODunzps5jvq-e | 5,769 | Tiktoken tokenizers are not pickable | {
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} | null | ### Describe the bug
Since tiktoken tokenizer is not pickable, it is not possible to use it inside `dataset.map()` with multiprocessing enabled. However, you [made](https://github.com/huggingface/datasets/issues/5536) tiktoken's tokenizers pickable in `datasets==2.10.0` for caching. For some reason, this logic does no... | {
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} | null | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | {
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"completed": 0,
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} | null | ### Describe the bug
- `transformers` version: 4.11.3
- Platform: Linux-5.4.0-58-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxL... | {
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https://api.github.com/repos/huggingface/datasets/issues/5766 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5766/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5766/comments | https://api.github.com/repos/huggingface/datasets/issues/5766/events | https://github.com/huggingface/datasets/issues/5766 | 1,671,485,882 | I_kwDODunzps5joNm6 | 5,766 | Support custom feature types | {
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] | open | false | null | [] | null | [] | 2023-04-17T15:46:41Z | 2024-03-10T11:11:22Z | 1970-01-01T00:00:00 | NONE | {
"completed": 0,
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} | null | ### Feature request
I think it would be nice to allow registering custom feature types with the 🤗 Datasets library. For example, allow to do something along the following lines:
```
from datasets.features import register_feature_type # this would be a new function
@register_feature_type
class CustomFeature... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5765/comments | https://api.github.com/repos/huggingface/datasets/issues/5765/events | https://github.com/huggingface/datasets/issues/5765 | 1,671,388,824 | I_kwDODunzps5jn16Y | 5,765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | {
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"completed": 0,
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} | null | ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5764 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5764/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5764/comments | https://api.github.com/repos/huggingface/datasets/issues/5764/events | https://github.com/huggingface/datasets/issues/5764 | 1,670,740,198 | I_kwDODunzps5jlXjm | 5,764 | ConnectionError: Couldn't reach https://www.dropbox.com/s/zts98j4vkqtsns6/aclImdb_v2.tar?dl=1 | {
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"completed": 0,
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} | null | ### Describe the bug
I want to use this (https://huggingface.co/datasets/josianem/imdb) dataset therefore I am trying to load it using the following code:
```
dataset = load_dataset("josianem/imdb")
```
The dataset is not getting loaded and gives the error message as the following:
```
Traceback (most rece... | {
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https://api.github.com/repos/huggingface/datasets/issues/5763 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5763/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5763/comments | https://api.github.com/repos/huggingface/datasets/issues/5763/events | https://github.com/huggingface/datasets/pull/5763 | 1,670,476,302 | PR_kwDODunzps5OcMI7 | 5,763 | fix typo: "mow" -> "now" | {
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} | null | I noticed a typo as I was reading the datasets documentation. This PR contains a trivial fix changing "mow" to "now." | {
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https://api.github.com/repos/huggingface/datasets/issues/5762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5762/comments | https://api.github.com/repos/huggingface/datasets/issues/5762/events | https://github.com/huggingface/datasets/issues/5762 | 1,670,326,470 | I_kwDODunzps5jjyjG | 5,762 | Not able to load the pile | {
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} | null | ### Describe the bug
Got this error when I am trying to load the pile dataset
```
TypeError: Couldn't cast array of type
struct<file: string, id: string>
to
{'id': Value(dtype='string', id=None)}
```
### Steps to reproduce the bug
Please visit the following sample notebook
https://colab.research.goo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5761 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5761/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5761/comments | https://api.github.com/repos/huggingface/datasets/issues/5761/events | https://github.com/huggingface/datasets/issues/5761 | 1,670,034,582 | I_kwDODunzps5jirSW | 5,761 | One or several metadata.jsonl were found, but not in the same directory or in a parent directory | {
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} | null | ### Describe the bug
An attempt to generate a dataset from a zip archive using imagefolder and metadata.jsonl does not lead to the expected result. Tried all possible locations of the json file: the file in the archive is ignored (generated dataset contains only images), the file next to the archive like [here](http... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5760/comments | https://api.github.com/repos/huggingface/datasets/issues/5760/events | https://github.com/huggingface/datasets/issues/5760 | 1,670,028,072 | I_kwDODunzps5jipso | 5,760 | Multi-image loading in Imagefolder dataset | {
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} | null | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5759 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5759/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5759/comments | https://api.github.com/repos/huggingface/datasets/issues/5759/events | https://github.com/huggingface/datasets/issues/5759 | 1,669,977,848 | I_kwDODunzps5jidb4 | 5,759 | Can I load in list of list of dict format? | {
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} | null | ### Feature request
my jsonl dataset has following format:
```
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
```
I try to use `datasets.load_dataset('json', data_files=path)` or `datasets.Dataset.from_json`, it raises
```
File "site-p... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5758/comments | https://api.github.com/repos/huggingface/datasets/issues/5758/events | https://github.com/huggingface/datasets/pull/5758 | 1,669,920,923 | PR_kwDODunzps5OaY9S | 5,758 | Fixes #5757 | {
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https://api.github.com/repos/huggingface/datasets/issues/5757 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5757/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5757/comments | https://api.github.com/repos/huggingface/datasets/issues/5757/events | https://github.com/huggingface/datasets/issues/5757 | 1,669,910,503 | I_kwDODunzps5jiM_n | 5,757 | Tilde (~) is not supported | {
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"completed": 0,
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} | null | ### Describe the bug
It seems that `~` is not recognized correctly in local paths. Whenever I try to use it I get an exception
### Steps to reproduce the bug
```python
load_dataset("imagefolder", data_dir="~/data/my_dataset")
```
Will generate the following error:
```
EmptyDatasetError: The directory at ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5756 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5756/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5756/comments | https://api.github.com/repos/huggingface/datasets/issues/5756/events | https://github.com/huggingface/datasets/issues/5756 | 1,669,678,080 | I_kwDODunzps5jhUQA | 5,756 | Calling shuffle on a IterableDataset with streaming=True, gives "ValueError: cannot reshape array" | {
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"completed": 0,
"percent_completed": 0,
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} | null | ### Describe the bug
When calling shuffle on a IterableDataset with streaming=True, I get the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/administrator/Documents/Projects/huggingface/jax-diffusers-sprint-consistency-models/virtualenv/lib/python3.1... | {
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https://api.github.com/repos/huggingface/datasets/issues/5755 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5755/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5755/comments | https://api.github.com/repos/huggingface/datasets/issues/5755/events | https://github.com/huggingface/datasets/issues/5755 | 1,669,048,438 | I_kwDODunzps5je6h2 | 5,755 | ImportError: cannot import name 'DeprecatedEnum' from 'datasets.utils.deprecation_utils' | {
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"completed": 0,
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} | null | ### Describe the bug
The module moved to new place?
### Steps to reproduce the bug
in the import step,
```python
from datasets.utils.deprecation_utils import DeprecatedEnum
```
error:
```
ImportError: cannot import name 'DeprecatedEnum' from 'datasets.utils.deprecation_utils'
```
### Expected behavior... | {
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https://api.github.com/repos/huggingface/datasets/issues/5754 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5754/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5754/comments | https://api.github.com/repos/huggingface/datasets/issues/5754/events | https://github.com/huggingface/datasets/pull/5754 | 1,668,755,035 | PR_kwDODunzps5OWozh | 5,754 | Minor tqdm fixes | {
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} | null | `GeneratorBasedBuilder`'s TQDM bars were not used as context managers. This PR fixes that (missed these bars in https://github.com/huggingface/datasets/pull/5560).
Also, this PR modifies the single-proc `save_to_disk` to fix the issue with the TQDM bar not accumulating the progress in the multi-shard setting (again... | {
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https://api.github.com/repos/huggingface/datasets/issues/5753 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5753/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5753/comments | https://api.github.com/repos/huggingface/datasets/issues/5753/events | https://github.com/huggingface/datasets/issues/5753 | 1,668,659,536 | I_kwDODunzps5jdblQ | 5,753 | [IterableDatasets] Add column followed by interleave datasets gives bogus outputs | {
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} | null | ### Describe the bug
If we add a new column to our iterable dataset using the hack described in #5752, when we then interleave datasets the new column is pinned to one value.
### Steps to reproduce the bug
What we're going to do here is:
1. Load an iterable dataset in streaming mode (`original_dataset`)
2. A... | {
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} | null | ### Describe the bug
After appending a new column to a streaming dataset using `.add_column`, we can no longer access the list of dataset features using the `.feature` method.
### Steps to reproduce the bug
```python
from datasets import load_dataset
original_dataset = load_dataset("librispeech_asr", "clean", sp... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5750 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5750/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5750/comments | https://api.github.com/repos/huggingface/datasets/issues/5750/events | https://github.com/huggingface/datasets/issues/5750 | 1,668,289,067 | I_kwDODunzps5jcBIr | 5,750 | Fail to create datasets from a generator when using Google Big Query | {
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} | null | ### Describe the bug
Creating a dataset from a generator using `Dataset.from_generator()` fails if the generator is the [Google Big Query Python client](https://cloud.google.com/python/docs/reference/bigquery/latest). The problem is that the Big Query client is not pickable. And the function `create_config_id` tries t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5749 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5749/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5749/comments | https://api.github.com/repos/huggingface/datasets/issues/5749/events | https://github.com/huggingface/datasets/issues/5749 | 1,668,016,321 | I_kwDODunzps5ja-jB | 5,749 | AttributeError: 'Version' object has no attribute 'match' | {
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"completed": 0,
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} | null | ### Describe the bug
When I run
from datasets import load_dataset
data = load_dataset("visual_genome", 'region_descriptions_v1.2.0')
AttributeError: 'Version' object has no attribute 'match'
### Steps to reproduce the bug
from datasets import load_dataset
data = load_dataset("visual_genome", 'region_descripti... | {
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https://api.github.com/repos/huggingface/datasets/issues/5746 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5746/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5746/comments | https://api.github.com/repos/huggingface/datasets/issues/5746/events | https://github.com/huggingface/datasets/pull/5746 | 1,667,102,459 | PR_kwDODunzps5ORIUU | 5,746 | Fix link in docs | {
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} | null | Fixes a broken link in the use_with_pytorch docs | {
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https://api.github.com/repos/huggingface/datasets/issues/5745 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5745/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5745/comments | https://api.github.com/repos/huggingface/datasets/issues/5745/events | https://github.com/huggingface/datasets/pull/5745 | 1,667,086,143 | PR_kwDODunzps5ORE2n | 5,745 | [BUG FIX] Issue 5744 | {
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} | null | A temporal fix for https://github.com/huggingface/datasets/issues/5744. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5744 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5744/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5744/comments | https://api.github.com/repos/huggingface/datasets/issues/5744/events | https://github.com/huggingface/datasets/issues/5744 | 1,667,076,620 | I_kwDODunzps5jXZIM | 5,744 | [BUG] With Pandas 2.0.0, `load_dataset` raises `TypeError: read_csv() got an unexpected keyword argument 'mangle_dupe_cols'` | {
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} | null | The `load_dataset` function with Pandas `1.5.3` has no issue (just a FutureWarning) but crashes with Pandas `2.0.0`.
For your convenience, I opened a draft Pull Request to fix it quickly: https://github.com/huggingface/datasets/pull/5745
---
* The FutureWarning mentioned above:
```
FutureWarning: the 'mangle_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5743 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5743/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5743/comments | https://api.github.com/repos/huggingface/datasets/issues/5743/events | https://github.com/huggingface/datasets/issues/5743 | 1,666,843,832 | I_kwDODunzps5jWgS4 | 5,743 | dataclass.py in virtual environment is overriding the stdlib module "dataclasses" | {
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} | null | ### Describe the bug
"e:\Krish_naik\FSDSRegression\venv\Lib\dataclasses.py" is overriding the stdlib module "dataclasses"
### Steps to reproduce the bug
module issue
### Expected behavior
overriding the stdlib module "dataclasses"
### Environment info
VS code | {
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https://api.github.com/repos/huggingface/datasets/issues/5742 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5742/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5742/comments | https://api.github.com/repos/huggingface/datasets/issues/5742/events | https://github.com/huggingface/datasets/pull/5742 | 1,666,209,738 | PR_kwDODunzps5OOH-W | 5,742 | Warning specifying future change in to_tf_dataset behaviour | {
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https://api.github.com/repos/huggingface/datasets/issues/5740 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5740/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5740/comments | https://api.github.com/repos/huggingface/datasets/issues/5740/events | https://github.com/huggingface/datasets/pull/5740 | 1,664,132,130 | PR_kwDODunzps5OHI08 | 5,740 | Fix CI mock filesystem fixtures | {
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} | null | This PR fixes the fixtures of our CI mock filesystems.
Before, we had to pass `clobber=True` to `fsspec.register_implementation` to overwrite the still present previously added "mock" filesystem. That meant that the mock filesystem fixture was not working properly, because the previously added "mock" filesystem, sho... | {
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https://api.github.com/repos/huggingface/datasets/issues/5739 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5739/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5739/comments | https://api.github.com/repos/huggingface/datasets/issues/5739/events | https://github.com/huggingface/datasets/issues/5739 | 1,663,762,901 | I_kwDODunzps5jKwHV | 5,739 | weird result during dataset split when data path starts with `/data` | {
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} | null | ### Describe the bug
The regex defined here https://github.com/huggingface/datasets/blob/f2607935c4e45c70c44fcb698db0363ca7ba83d4/src/datasets/utils/py_utils.py#L158
will cause a weird result during dataset split when data path starts with `/data`
### Steps to reproduce the bug
1. clone dataset into local path
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5738 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5738/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5738/comments | https://api.github.com/repos/huggingface/datasets/issues/5738/events | https://github.com/huggingface/datasets/issues/5738 | 1,663,477,690 | I_kwDODunzps5jJqe6 | 5,738 | load_dataset("text","dataset.txt") loads the wrong dataset! | {
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} | null | ### Describe the bug
I am trying to load my own custom text dataset using the load_dataset function. My dataset is a bunch of ordered text, think along the lines of shakespeare plays. However, after I load the dataset and I inspect it, the dataset is a table with a bunch of latitude and longitude values! What in th... | {
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https://api.github.com/repos/huggingface/datasets/issues/5737 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5737/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5737/comments | https://api.github.com/repos/huggingface/datasets/issues/5737/events | https://github.com/huggingface/datasets/issues/5737 | 1,662,919,811 | I_kwDODunzps5jHiSD | 5,737 | ClassLabel Error | {
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} | null | ### Describe the bug
I still getting the error "call() takes 1 positional argument but 2 were given" even after ensuring that the value being passed to the label object is a single value and that the ClassLabel object has been created with the correct number of label classes
### Steps to reproduce the bug
from... | {
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https://api.github.com/repos/huggingface/datasets/issues/5736 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5736/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5736/comments | https://api.github.com/repos/huggingface/datasets/issues/5736/events | https://github.com/huggingface/datasets/issues/5736 | 1,662,286,061 | I_kwDODunzps5jFHjt | 5,736 | FORCE_REDOWNLOAD raises "Directory not empty" exception on second run | {
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} | null | ### Describe the bug
Running `load_dataset(..., download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD)` twice raises a `Directory not empty` exception on the second run.
### Steps to reproduce the bug
I cannot test this on datasets v2.11.0 due to #5711, but this happens in v2.10.1.
1. Set up a script `my_dataset.p... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5735 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5735/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5735/comments | https://api.github.com/repos/huggingface/datasets/issues/5735/events | https://github.com/huggingface/datasets/pull/5735 | 1,662,150,903 | PR_kwDODunzps5OAY3A | 5,735 | Implement sharding on merged iterable datasets | {
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} | null | This PR allows sharding of merged iterable datasets.
Merged iterable datasets with for instance the `interleave_datasets` command are comprised of multiple sub-iterable, one for each dataset that has been merged.
With this PR, sharding a merged iterable will result in multiple merged datasets each comprised of sh... | {
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https://api.github.com/repos/huggingface/datasets/issues/5734 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5734/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5734/comments | https://api.github.com/repos/huggingface/datasets/issues/5734/events | https://github.com/huggingface/datasets/issues/5734 | 1,662,058,028 | I_kwDODunzps5jEP4s | 5,734 | Remove temporary pin of fsspec | {
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- #5731 | {
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https://api.github.com/repos/huggingface/datasets/issues/5733 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5733/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5733/comments | https://api.github.com/repos/huggingface/datasets/issues/5733/events | https://github.com/huggingface/datasets/pull/5733 | 1,662,039,191 | PR_kwDODunzps5OAA04 | 5,733 | Unpin fsspec | {
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} | null | In `fsspec--2023.4.0` default value for clobber when registering an implementation was changed from True to False. See:
- https://github.com/fsspec/filesystem_spec/pull/1237
This PR recovers previous behavior by passing clobber True when registering mock implementations.
This PR also removes the temporary pin in... | {
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} | null | ### Feature request
The HuggingFace Datasets library currently supports two BuilderConfigs for Enwik8. One config yields individual lines as examples, while the other config yields the entire dataset as a single example. Both support only a monolithic split: it is all grouped as "train".
The HuggingFace Datasets l... | {
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https://api.github.com/repos/huggingface/datasets/issues/5731 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5731/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5731/comments | https://api.github.com/repos/huggingface/datasets/issues/5731/events | https://github.com/huggingface/datasets/pull/5731 | 1,662,012,913 | PR_kwDODunzps5N_7Un | 5,731 | Temporarily pin fsspec | {
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https://api.github.com/repos/huggingface/datasets/issues/5730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5730/comments | https://api.github.com/repos/huggingface/datasets/issues/5730/events | https://github.com/huggingface/datasets/issues/5730 | 1,662,007,926 | I_kwDODunzps5jEDp2 | 5,730 | CI is broken: ValueError: Name (mock) already in the registry and clobber is False | {
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See: https://github.com/huggingface/datasets/actions/runs/4665326892/jobs/8258580948
```
=========================== short test summary info ============================
ERROR tests/test_builder.py::test_builder_with_filesystem_download_and_prepare - ValueError: Name (mock) already ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5729 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5729/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5729/comments | https://api.github.com/repos/huggingface/datasets/issues/5729/events | https://github.com/huggingface/datasets/pull/5729 | 1,661,929,923 | PR_kwDODunzps5N_pvI | 5,729 | Fix nondeterministic sharded data split order | {
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Fix #5728. | {
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https://api.github.com/repos/huggingface/datasets/issues/5728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5728/comments | https://api.github.com/repos/huggingface/datasets/issues/5728/events | https://github.com/huggingface/datasets/issues/5728 | 1,661,925,932 | I_kwDODunzps5jDvos | 5,728 | The order of data split names is nondeterministic | {
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```
FAILED tests/test_data_files.py::test_get_data_files_patterns[data_file_per_split4] - AssertionError: assert ['random', 'train'] == ['train', 'random']
At index 0 diff: 'random' != 'train'
Full diff:... | {
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https://api.github.com/repos/huggingface/datasets/issues/5727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5727/comments | https://api.github.com/repos/huggingface/datasets/issues/5727/events | https://github.com/huggingface/datasets/issues/5727 | 1,661,536,363 | I_kwDODunzps5jCQhr | 5,727 | load_dataset fails with FileNotFound error on Windows | {
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} | null | ### Describe the bug
Although I can import and run the datasets library in a Colab environment, I cannot successfully load any data on my own machine (Windows 10) despite following the install steps:
(1) create conda environment
(2) activate environment
(3) install with: ``conda` install -c huggingface -c conda-... | {
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https://api.github.com/repos/huggingface/datasets/issues/5726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5726/comments | https://api.github.com/repos/huggingface/datasets/issues/5726/events | https://github.com/huggingface/datasets/issues/5726 | 1,660,944,807 | I_kwDODunzps5jAAGn | 5,726 | Fallback JSON Dataset loading does not load all values when features specified manually | {
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} | null | ### Describe the bug
The fallback JSON dataset loader located here:
https://github.com/huggingface/datasets/blob/1c4ec00511868bd881e84a6f7e0333648d833b8e/src/datasets/packaged_modules/json/json.py#L130-L153
does not load the values of features correctly when features are specified manually and not all features... | {
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https://api.github.com/repos/huggingface/datasets/issues/5725 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5725/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5725/comments | https://api.github.com/repos/huggingface/datasets/issues/5725/events | https://github.com/huggingface/datasets/issues/5725 | 1,660,455,202 | I_kwDODunzps5i-Iki | 5,725 | How to limit the number of examples in dataset, for testing? | {
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} | null | ### Describe the bug
I am using this command:
`data = load_dataset("json", data_files=data_path)`
However, I want to add a parameter, to limit the number of loaded examples to be 10, for development purposes, but can't find this simple parameter.
### Steps to reproduce the bug
In the description.
### Expected beh... | {
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https://api.github.com/repos/huggingface/datasets/issues/5724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5724/comments | https://api.github.com/repos/huggingface/datasets/issues/5724/events | https://github.com/huggingface/datasets/issues/5724 | 1,659,938,135 | I_kwDODunzps5i8KVX | 5,724 | Error after shuffling streaming IterableDatasets with downloaded dataset | {
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} | null | ### Describe the bug
I downloaded the C4 dataset, and used streaming IterableDatasets to read it. Everything went normal until I used `dataset = dataset.shuffle(seed=42, buffer_size=10_000)` to shuffle the dataset. Shuffled dataset will throw the following error when it is used by `next(iter(dataset))`:
```
File "/d... | {
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https://api.github.com/repos/huggingface/datasets/issues/5722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5722/comments | https://api.github.com/repos/huggingface/datasets/issues/5722/events | https://github.com/huggingface/datasets/issues/5722 | 1,659,837,510 | I_kwDODunzps5i7xxG | 5,722 | Distributed Training Error on Customized Dataset | {
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} | null | Hi guys, recently I tried to use `datasets` to train a dual encoder.
I finish my own datasets according to the nice [tutorial](https://huggingface.co/docs/datasets/v2.11.0/en/dataset_script)
Here are my code:
```python
class RetrivalDataset(datasets.GeneratorBasedBuilder):
"""CrossEncoder dataset."""
B... | {
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https://api.github.com/repos/huggingface/datasets/issues/5721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5721/comments | https://api.github.com/repos/huggingface/datasets/issues/5721/events | https://github.com/huggingface/datasets/issues/5721 | 1,659,680,682 | I_kwDODunzps5i7Leq | 5,721 | Calling datasets.load_dataset("text" ...) results in a wrong split. | {
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} | null | ### Describe the bug
When creating a text dataset, the training split should have the bulk of the examples by default. Currently, testing does.
### Steps to reproduce the bug
I have a folder with 18K text files in it. Each text file essentially consists in a document or article scraped from online. Calling the follo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5720/comments | https://api.github.com/repos/huggingface/datasets/issues/5720/events | https://github.com/huggingface/datasets/issues/5720 | 1,659,610,705 | I_kwDODunzps5i66ZR | 5,720 | Streaming IterableDatasets do not work with torch DataLoaders | {
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} | null | ### Describe the bug
When using streaming datasets set up with train/val split using `.skip()` and `.take()`, the following error occurs when iterating over a torch dataloader:
```
File "/Users/julian/miniconda3/envs/sims/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 363, in __iter__
self.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5719/comments | https://api.github.com/repos/huggingface/datasets/issues/5719/events | https://github.com/huggingface/datasets/issues/5719 | 1,659,203,222 | I_kwDODunzps5i5W6W | 5,719 | Array2D feature creates a list of list instead of a numpy array | {
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} | null | ### Describe the bug
I'm not sure if this is expected behavior or not. When I create a 2D array using `Array2D`, the data has list type instead of numpy array. I think it should not be the expected behavior especially when I feed a numpy array as input to the data creation function. Why is it converting my array int... | {
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https://api.github.com/repos/huggingface/datasets/issues/5718 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5718/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5718/comments | https://api.github.com/repos/huggingface/datasets/issues/5718/events | https://github.com/huggingface/datasets/pull/5718 | 1,658,958,406 | PR_kwDODunzps5N2IZC | 5,718 | Reorder default data splits to have validation before test | {
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The default order becomes: [train, validation, test] instead of [train, test, validation]. | {
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https://api.github.com/repos/huggingface/datasets/issues/5717 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5717/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5717/comments | https://api.github.com/repos/huggingface/datasets/issues/5717/events | https://github.com/huggingface/datasets/issues/5717 | 1,658,729,866 | I_kwDODunzps5i3jWK | 5,717 | Errror when saving to disk a dataset of images | {
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... | null | [] | 2023-04-07T11:59:17Z | 2024-12-15T09:39:57Z | 1970-01-01T00:00:00 | CONTRIBUTOR | {
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} | null | ### Describe the bug
Hello!
I have an issue when I try to save on disk my dataset of images. The error I get is:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 1442, in save_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5716/comments | https://api.github.com/repos/huggingface/datasets/issues/5716/events | https://github.com/huggingface/datasets/issues/5716 | 1,658,613,092 | I_kwDODunzps5i3G1k | 5,716 | Handle empty audio | {
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} | null | Some audio paths exist, but they are empty, and an error will be reported when reading the audio path.How to use the filter function to avoid the empty audio path?
when a audio is empty, when do resample , it will break:
`array, sampling_rate = sf.read(f) array = librosa.resample(array, orig_sr=sampling_rate, target_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5715 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5715/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5715/comments | https://api.github.com/repos/huggingface/datasets/issues/5715/events | https://github.com/huggingface/datasets/issues/5715 | 1,657,479,788 | I_kwDODunzps5iyyJs | 5,715 | Return Numpy Array (fixed length) Mode, in __get_item__, Instead of List | {
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} | null | ### Feature request
There are old known issues, but they can be easily forgettable problems in multiprocessing with pytorch-dataloader:
Too high usage of RAM or shared-memory in pytorch when we set num workers > 1 and returning type of dataset or dataloader is "List" or "Dict".
https://github.com/pytorch/pytorch... | {
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https://api.github.com/repos/huggingface/datasets/issues/5714 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5714/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5714/comments | https://api.github.com/repos/huggingface/datasets/issues/5714/events | https://github.com/huggingface/datasets/pull/5714 | 1,657,388,033 | PR_kwDODunzps5NxIOc | 5,714 | Fix xnumpy_load for .npz files | {
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- #5626
implemented support for streaming `.npy` files by using `numpy.load`.
However, it introduced a bug when used with `.npz` files, within a context manager:
```
ValueError: seek of closed file
```
or in streaming mode:
```
ValueError: I/O operation on closed file.
```
This PR fixes the bug an... | {
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