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https://api.github.com/repos/huggingface/datasets/issues/6951 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6951/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6951/comments | https://api.github.com/repos/huggingface/datasets/issues/6951/events | https://github.com/huggingface/datasets/issues/6951 | 2,333,231,042 | I_kwDODunzps6LEkfC | 6,951 | load_dataset() should load all subsets, if no specific subset is specified | {
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Currently load_dataset() is forcing users to specify a subset. Example
`from datasets import load_dataset
dataset = load_dataset("m-a-p/COIG-CQIA")`
```---------------------------------------------------------------------------
ValueError Traceback (most recen... | {
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The actual behavior of the interface `Dataset.with_format` is inconsistent with the documentation.
https://huggingface.co/docs/datasets/use_with_pytorch#n-dimensional-arrays
https://huggingface.co/docs/datasets/v2.19.0/en/use_with_tensorflow#n-dimensional-arrays
> If your dataset consists of ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6949 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6949/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6949/comments | https://api.github.com/repos/huggingface/datasets/issues/6949/events | https://github.com/huggingface/datasets/issues/6949 | 2,332,336,573 | I_kwDODunzps6LBKG9 | 6,949 | load_dataset error | {
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Why does the program get stuck when I use load_dataset method, and it still gets stuck after loading for several hours? In fact, my json file is only 21m, and I can load it in one go using open('', 'r').
### Steps to reproduce the bug
1. pip install datasets==2.19.2
2. from datasets import Data... | {
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https://api.github.com/repos/huggingface/datasets/issues/6948 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6948/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6948/comments | https://api.github.com/repos/huggingface/datasets/issues/6948/events | https://github.com/huggingface/datasets/issues/6948 | 2,331,758,300 | I_kwDODunzps6K-87c | 6,948 | to_tf_dataset: Visible devices cannot be modified after being initialized | {
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When trying to use to_tf_dataset with a custom data_loader collate_fn when I use parallelism I am met with the following error as many times as number of workers there were in ``num_workers``.
File "/opt/miniconda/envs/env/lib/python3.11/site-packages/multiprocess/process.py", line 314, in _b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6947 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6947/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6947/comments | https://api.github.com/repos/huggingface/datasets/issues/6947/events | https://github.com/huggingface/datasets/issues/6947 | 2,331,114,055 | I_kwDODunzps6K8fpH | 6,947 | FileNotFoundError：error when loading C4 dataset | {
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can't load c4 datasets
When I replace the datasets package to 2.12.2 I get raise datasets.utils.info_utils.ExpectedMoreSplits: {'train'}
How can I fix this？
### Steps to reproduce the bug
1.from datasets import load_dataset
2.dataset = load_dataset('allenai/c4', data_files={'validat... | {
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- #5519
Note that after the linter switch, we wrongly replaced `flake8: noqa` with `ruff: noqa` in datasets-2.17.0 PR:
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import sorting was disabled in all files containing the `# flake8: noqa` directive
- https://github.com/astral-sh/ruff/issues/11679
We should re-enable import sorting on those files. | {
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https://api.github.com/repos/huggingface/datasets/issues/6941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6941/comments | https://api.github.com/repos/huggingface/datasets/issues/6941/events | https://github.com/huggingface/datasets/issues/6941 | 2,328,930,165 | I_kwDODunzps6K0Kd1 | 6,941 | Supporting FFCV: Fast Forward Computer Vision | {
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] | open | false | null | [] | null | [] | 2024-06-01T05:34:52Z | 2024-06-01T05:34:52Z | null | NONE | null | null | null | null | ### Feature request
Supporting FFCV, https://github.com/libffcv/ffcv
### Motivation
According to the benchmark, FFCV seems to be fastest image loading method.
### Your contribution
no | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6940 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6940/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6940/comments | https://api.github.com/repos/huggingface/datasets/issues/6940/events | https://github.com/huggingface/datasets/issues/6940 | 2,328,637,831 | I_kwDODunzps6KzDGH | 6,940 | Enable Sharding to Equal Sized Shards | {
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] | open | false | null | [] | null | [] | 2024-05-31T21:55:50Z | 2024-06-01T07:34:12Z | null | NONE | null | null | null | null | ### Feature request
Add an option when sharding a dataset to have all shards the same size. Will be good to provide both an option of duplication, and by truncation.
### Motivation
Currently the behavior of sharding is "If n % i == l, then the first l shards will have length (n // i) + 1, and the remaining sha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6939 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6939/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6939/comments | https://api.github.com/repos/huggingface/datasets/issues/6939/events | https://github.com/huggingface/datasets/issues/6939 | 2,328,059,386 | I_kwDODunzps6Kw136 | 6,939 | ExpectedMoreSplits error when using data_dir | {
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```python
from datasets import load_dataset
dataset = load_dataset(
"lvwerra/stack-exchange-paired",
split="train",
cache_dir=None,
data_dir="data/rl",
)
```
```
Traceback (most recent call last):
F... | {
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https://api.github.com/repos/huggingface/datasets/issues/6938 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6938/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6938/comments | https://api.github.com/repos/huggingface/datasets/issues/6938/events | https://github.com/huggingface/datasets/pull/6938 | 2,327,568,281 | PR_kwDODunzps5xHNKm | 6,938 | Fix expected splits when passing data_files or dir | {
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} | reported on slack:
The following code snippet gives an error with v2.19 but not with v2.18:
from datasets import load_dataset
```
dataset = load_dataset(
"lvwerra/stack-exchange-paired",
split="train",
cache_dir=None,
data_dir="data/rl",
)
```
and the error is:
```
Traceback (most recent ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6937 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6937/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6937/comments | https://api.github.com/repos/huggingface/datasets/issues/6937/events | https://github.com/huggingface/datasets/issues/6937 | 2,327,212,611 | I_kwDODunzps6KtnJD | 6,937 | JSON loader implicitly coerces floats to integers | {
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The column values `[0.0, 1.0, 2.0]` are coerced to `[0, 1, 2]`.
See CI error in dataset-viewer: https://github.com/huggingface/dataset-viewer/actions/runs/9290164936/job/25576926446
```
=================================== FAILURES ===========================... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6936 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6936/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6936/comments | https://api.github.com/repos/huggingface/datasets/issues/6936/events | https://github.com/huggingface/datasets/issues/6936 | 2,326,119,853 | I_kwDODunzps6KpcWt | 6,936 | save_to_disk() freezes when saving on s3 bucket with multiprocessing | {
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I'm trying to save a `Dataset` using the `save_to_disk()` function with:
- `num_proc > 1`
- `dataset_path` being a s3 bucket path e.g. "s3://{bucket_name}/{dataset_folder}/"
The hf progress bar shows up but the saving does not seem to start.
When using one processor only (`num_proc=1`), e... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6935 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6935/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6935/comments | https://api.github.com/repos/huggingface/datasets/issues/6935/events | https://github.com/huggingface/datasets/issues/6935 | 2,325,612,022 | I_kwDODunzps6KngX2 | 6,935 | Support for pathlib.Path in datasets 2.19.0 | {
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After the recent update of `datasets`, Dataset.save_to_disk does not accept a pathlib.Path anymore. It was supported in 2.18.0 and previous versions. Is this intentional? Was it supported before only because of a Python dusk-typing miracle?
### Steps to reproduce the bug
```
from datasets impor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6934 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6934/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6934/comments | https://api.github.com/repos/huggingface/datasets/issues/6934/events | https://github.com/huggingface/datasets/pull/6934 | 2,325,341,717 | PR_kwDODunzps5w_laB | 6,934 | Revert ci user | {
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https://api.github.com/repos/huggingface/datasets/issues/6933 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6933/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6933/comments | https://api.github.com/repos/huggingface/datasets/issues/6933/events | https://github.com/huggingface/datasets/pull/6933 | 2,325,300,800 | PR_kwDODunzps5w_cW4 | 6,933 | update ci user | {
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https://api.github.com/repos/huggingface/datasets/issues/6932 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6932/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6932/comments | https://api.github.com/repos/huggingface/datasets/issues/6932/events | https://github.com/huggingface/datasets/pull/6932 | 2,324,729,267 | PR_kwDODunzps5w9d7w | 6,932 | Update dataset_dict.py | {
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https://api.github.com/repos/huggingface/datasets/issues/6931 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6931/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6931/comments | https://api.github.com/repos/huggingface/datasets/issues/6931/events | https://github.com/huggingface/datasets/pull/6931 | 2,323,457,525 | PR_kwDODunzps5w5I-Y | 6,931 | [WebDataset] Support compressed files | {
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https://api.github.com/repos/huggingface/datasets/issues/6930 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6930/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6930/comments | https://api.github.com/repos/huggingface/datasets/issues/6930/events | https://github.com/huggingface/datasets/issues/6930 | 2,323,225,922 | I_kwDODunzps6KeZ1C | 6,930 | ValueError: Couldn't infer the same data file format for all splits. Got {'train': ('json', {}), 'validation': (None, {})} | {
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"gist... | [] | open | false | null | [] | null | [] | 2024-05-29T12:40:05Z | 2024-07-23T06:25:24Z | null | NONE | null | null | null | null | ### Describe the bug
When I run the code en = load_dataset("allenai/c4", "en", streaming=True), I encounter an error: raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}") ValueError: Couldn't infer the same data file format for all splits. Got {'train': ('json', {}), 'valid... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6929 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6929/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6929/comments | https://api.github.com/repos/huggingface/datasets/issues/6929/events | https://github.com/huggingface/datasets/issues/6929 | 2,322,980,077 | I_kwDODunzps6Kddzt | 6,929 | Avoid downloading the whole dataset when only README.me has been touched on hub. | {
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] | open | false | null | [] | null | [] | 2024-05-29T10:36:06Z | 2024-05-29T20:51:56Z | null | NONE | null | null | null | null | ### Feature request
`datasets.load_dataset()` triggers a new download of the **whole dataset** when the README.md file has been touched on huggingface hub, even if data files / parquet files are the exact same.
I think the current behaviour of the load_dataset function is triggered whenever a change of the hash o... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6928 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6928/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6928/comments | https://api.github.com/repos/huggingface/datasets/issues/6928/events | https://github.com/huggingface/datasets/pull/6928 | 2,322,267,727 | PR_kwDODunzps5w1ECb | 6,928 | Update process.mdx: Code Listings Fixes | {
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https://api.github.com/repos/huggingface/datasets/issues/6927 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6927/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6927/comments | https://api.github.com/repos/huggingface/datasets/issues/6927/events | https://github.com/huggingface/datasets/pull/6927 | 2,322,260,725 | PR_kwDODunzps5w1CmF | 6,927 | Update process.mdx: Minor Code Listings Updates and Fixes | {
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https://api.github.com/repos/huggingface/datasets/issues/6926 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6926/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6926/comments | https://api.github.com/repos/huggingface/datasets/issues/6926/events | https://github.com/huggingface/datasets/pull/6926 | 2,322,164,287 | PR_kwDODunzps5w0uII | 6,926 | Update process.mdx: Fix code listing in Shard section | {
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https://api.github.com/repos/huggingface/datasets/issues/6925 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6925/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6925/comments | https://api.github.com/repos/huggingface/datasets/issues/6925/events | https://github.com/huggingface/datasets/pull/6925 | 2,321,084,967 | PR_kwDODunzps5wxDRE | 6,925 | Fix NonMatchingSplitsSizesError/ExpectedMoreSplits when passing data_dir/data_files in no-code Hub datasets | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix `NonMatchingSplitsSizesError` or `ExpectedMoreSplits` error for no-code Hub datasets if the user passes:
- `data_dir`
- `data_files`
The proposed solution is to avoid using exported dataset info (from Parquet exports) in these cases.
Additionally, also if the user passes `revision` other than "main" (so that ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6924 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6924/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6924/comments | https://api.github.com/repos/huggingface/datasets/issues/6924/events | https://github.com/huggingface/datasets/issues/6924 | 2,320,531,015 | I_kwDODunzps6KUH5H | 6,924 | Caching map result of DatasetDict. | {
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I'm currenty using the map function to tokenize a somewhat large dataset, so I need to use the cache to save ~25 mins.
Changing num_proc incduces the recomputation of the map, I'm not sure why and if this is excepted behavior?
here it says, that cached files are loaded sequentially:
https://github.com/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6923 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6923/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6923/comments | https://api.github.com/repos/huggingface/datasets/issues/6923/events | https://github.com/huggingface/datasets/issues/6923 | 2,319,292,872 | I_kwDODunzps6KPZnI | 6,923 | Export Parquet Tablet Audio-Set is null bytes in Arrow | {
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Exporting the processed audio inside the table with the dataset.to_parquet function, the object pyarrow {bytes: null, path: "Some/Path"}
At the same time, the same dataset uploaded to the hub has bit arrays
![Screenshot from 2024-05-27 19-14-49](https://github.com/huggingface/datasets/assets/1... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6922 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6922/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6922/comments | https://api.github.com/repos/huggingface/datasets/issues/6922/events | https://github.com/huggingface/datasets/pull/6922 | 2,318,602,059 | PR_kwDODunzps5wolTm | 6,922 | Remove torchaudio remnants from code | {
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Follow-up on:
- #5573 | {
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https://api.github.com/repos/huggingface/datasets/issues/6920 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6920/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6920/comments | https://api.github.com/repos/huggingface/datasets/issues/6920/events | https://github.com/huggingface/datasets/pull/6920 | 2,317,648,021 | PR_kwDODunzps5wlchX | 6,920 | [WebDataset] Add `.pth` support for torch tensors | {
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https://api.github.com/repos/huggingface/datasets/issues/6919 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6919/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6919/comments | https://api.github.com/repos/huggingface/datasets/issues/6919/events | https://github.com/huggingface/datasets/issues/6919 | 2,315,618,993 | I_kwDODunzps6KBYqx | 6,919 | Invalid YAML in README.md: unknown tag !<tag:yaml.org,2002:python/tuple> | {
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I wrote a notebook to load an existing dataset, process it, and upload as a private dataset using `dataset.push_to_hub(...)` at the end. The push to hub is failing with:
```
ValueError: Invalid metadata in README.md.
- Invalid YAML in README.md: unknown tag !<tag:yaml.org,2002:python[/tuple](... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6918 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6918/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6918/comments | https://api.github.com/repos/huggingface/datasets/issues/6918/events | https://github.com/huggingface/datasets/issues/6918 | 2,315,322,738 | I_kwDODunzps6KAQVy | 6,918 | NonMatchingSplitsSizesError when using data_dir | {
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Loading a dataset from with a data_dir argument generates a NonMatchingSplitsSizesError if there are multiple directories in the dataset.
This appears to happen because the expected split is calculated based on the data in all the directories whereas the recorded split is calculated based on t... | {
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https://api.github.com/repos/huggingface/datasets/issues/6917 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6917/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6917/comments | https://api.github.com/repos/huggingface/datasets/issues/6917/events | https://github.com/huggingface/datasets/issues/6917 | 2,314,683,663 | I_kwDODunzps6J90UP | 6,917 | WinError 32 The process cannot access the file during load_dataset | {
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When I try to load the opus_book from hugging face (following the [guide on the website](https://huggingface.co/docs/transformers/main/en/tasks/translation))
```python
from datasets import load_dataset, Dataset
dataset = load_dataset("Helsinki-NLP/opus_books", "en-fr", features=["id", "tran... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6916 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6916/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6916/comments | https://api.github.com/repos/huggingface/datasets/issues/6916/events | https://github.com/huggingface/datasets/issues/6916 | 2,311,675,564 | I_kwDODunzps6JyV6s | 6,916 | ```push_to_hub()``` - Prevent Automatic Generation of Splits | {
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I currently have a dataset which has not been splited. When pushing the dataset to my hugging face dataset repository, it is split into a testing and training set. How can I prevent the split from happening?
### Steps to reproduce the bug
1. Have a unsplit dataset
```python
Dataset({ featur... | {
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https://api.github.com/repos/huggingface/datasets/issues/6915 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6915/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6915/comments | https://api.github.com/repos/huggingface/datasets/issues/6915/events | https://github.com/huggingface/datasets/pull/6915 | 2,310,564,961 | PR_kwDODunzps5wNIUh | 6,915 | Validate config name and data_files in packaged modules | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Validate the config attributes `name` and `data_files` in packaged modules by making the derived classes call their parent `__post_init__` method.
Note that their parent `BuilderConfig` validates its attributes `name` and `data_files` in its `__post_init__` method: https://github.com/huggingface/datasets/blob/60d21e... | {
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https://api.github.com/repos/huggingface/datasets/issues/6914 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6914/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6914/comments | https://api.github.com/repos/huggingface/datasets/issues/6914/events | https://github.com/huggingface/datasets/pull/6914 | 2,310,107,326 | PR_kwDODunzps5wLi3e | 6,914 | Preserve JSON column order and support list of strings field | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Preserve column order when loading from a JSON file with a list of dict (or with a field containing a list of dicts).
Additionally, support JSON file with a list of strings field.
Fix #6913. | {
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For example, when loading a JSON files with a list of objects, each with the following ordered keys:
- [ID, Language, Topic],
the resulting dataset may have column... | {
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https://api.github.com/repos/huggingface/datasets/issues/6912 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6912/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6912/comments | https://api.github.com/repos/huggingface/datasets/issues/6912/events | https://github.com/huggingface/datasets/issues/6912 | 2,309,365,961 | I_kwDODunzps6JpiDJ | 6,912 | Add MedImg for streaming | {
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Host the MedImg dataset (similar to Imagenet but for biomedical images).
### Motivation
There is a clear need for biomedical image foundation models and large scale biomedical datasets that are easily streamable. This would be an excellent tool for the biomedical community.
### Your con... | null | {
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Since the merge of this PR:
- #2986
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https://api.github.com/repos/huggingface/datasets/issues/6910 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6910/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6910/comments | https://api.github.com/repos/huggingface/datasets/issues/6910/events | https://github.com/huggingface/datasets/pull/6910 | 2,307,570,084 | PR_kwDODunzps5wC2An | 6,910 | Fix wrong type hints in data_files | {
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- #6493 | {
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https://api.github.com/repos/huggingface/datasets/issues/6908 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6908/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6908/comments | https://api.github.com/repos/huggingface/datasets/issues/6908/events | https://github.com/huggingface/datasets/issues/6908 | 2,304,958,116 | I_kwDODunzps6JYt6k | 6,908 | Fail to load "stas/c4-en-10k" dataset since 2.16 version | {
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When update datasets library to version 2.16+ ( I test it on 2.16, 2.19.0 and 2.19.1), using the following code to load stas/c4-en-10k dataset
```python
from datasets import load_dataset, Dataset
dataset = load_dataset('stas/c4-en-10k')
```
and then it raise UnicodeDecodeError like
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https://api.github.com/repos/huggingface/datasets/issues/6907 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6907/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6907/comments | https://api.github.com/repos/huggingface/datasets/issues/6907/events | https://github.com/huggingface/datasets/issues/6907 | 2,303,855,833 | I_kwDODunzps6JUgzZ | 6,907 | Support the deserialization of json lines files comprised of lists | {
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I manage a somewhat large and popular Hugging Face dataset known as the [Open Australian Legal Corpus](https://huggingface.co/datasets/umarbutler/open-australian-legal-corpus). I recently updated my corpus to be stored in a json lines file where each line is an array and each element represents a v... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6906 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6906/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6906/comments | https://api.github.com/repos/huggingface/datasets/issues/6906/events | https://github.com/huggingface/datasets/issues/6906 | 2,303,679,119 | I_kwDODunzps6JT1qP | 6,906 | irc_disentangle - Issue with splitting data | {
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I am trying to access your database through python using "datasets.load_dataset("irc_disentangle")" and I am getting this error message:
ValueError: Instruction "train" corresponds to no data!
### Steps to reproduce the bug
import datasets
ds = datasets.load_dataset('irc_disentangle')
ds
#... | {
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https://api.github.com/repos/huggingface/datasets/issues/6905 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6905/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6905/comments | https://api.github.com/repos/huggingface/datasets/issues/6905/events | https://github.com/huggingface/datasets/issues/6905 | 2,303,098,587 | I_kwDODunzps6JRn7b | 6,905 | Extraction protocol for arrow files is not defined | {
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Passing files with `.arrow` extension into data_files argument, at least when `streaming=True` is very slow.
### Steps to reproduce the bug
Basically it goes through the `_get_extraction_protocol` method located [here](https://github.com/huggingface/datasets/blob/main/src/datasets/utils/file_ut... | {
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https://api.github.com/repos/huggingface/datasets/issues/6904 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6904/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6904/comments | https://api.github.com/repos/huggingface/datasets/issues/6904/events | https://github.com/huggingface/datasets/pull/6904 | 2,302,912,179 | PR_kwDODunzps5vzRlD | 6,904 | Fix decoding multi part extension | {
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I also included a small fix to support .npz correctly | {
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https://api.github.com/repos/huggingface/datasets/issues/6903 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6903/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6903/comments | https://api.github.com/repos/huggingface/datasets/issues/6903/events | https://github.com/huggingface/datasets/issues/6903 | 2,300,436,053 | I_kwDODunzps6JHd5V | 6,903 | Add the option of saving in parquet instead of arrow | {
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In dataset.save_to_disk('/path/to/save/dataset'),
add the option to save in parquet format
dataset.save_to_disk('/path/to/save/dataset', format="parquet"),
because arrow is not used for Production Big data.... (only parquet)
### Motivation
because arrow is not used for Production Big... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6902 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6902/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6902/comments | https://api.github.com/repos/huggingface/datasets/issues/6902/events | https://github.com/huggingface/datasets/pull/6902 | 2,300,256,241 | PR_kwDODunzps5vqLIv | 6,902 | Make CLI convert_to_parquet not raise error if no rights to create script branch | {
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Not that before this PR, the error was not critical because it was raised at the end of the script, once all the rest of the steps were already performed.
Fix #6901.
Bug introduced in datasets-2.19.0 by:
- #6809 | {
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It can only create it on repos where the user executing the script has write access.
Otherwise, a 403 Forbidden HTTPError is raised:
```
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/huggingface_hub/ut... | {
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https://api.github.com/repos/huggingface/datasets/issues/6900 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6900/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6900/comments | https://api.github.com/repos/huggingface/datasets/issues/6900/events | https://github.com/huggingface/datasets/issues/6900 | 2,298,489,733 | I_kwDODunzps6JACuF | 6,900 | [WebDataset] KeyError with user-defined `Features` when a field is missing in an example | {
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```
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 109, in _generate_examples
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https://api.github.com/repos/huggingface/datasets/issues/6899 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6899/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6899/comments | https://api.github.com/repos/huggingface/datasets/issues/6899/events | https://github.com/huggingface/datasets/issues/6899 | 2,298,059,597 | I_kwDODunzps6I-ZtN | 6,899 | List of dictionary features get standardized | {
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Hi, i’m trying to create a HF dataset from a list using Dataset.from_list.
Each sample in the list is a dict with the same keys (which will be my features). The values for each feature are a list of dictionaries, and each such dictionary has a different set of keys. However, the datasets librar... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6898 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6898/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6898/comments | https://api.github.com/repos/huggingface/datasets/issues/6898/events | https://github.com/huggingface/datasets/pull/6898 | 2,294,432,108 | PR_kwDODunzps5vWJ9v | 6,898 | Fix YAML error in README files appearing on GitHub | {
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See error message:
Fix #6897. | {
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https://api.github.com/repos/huggingface/datasets/issues/6897 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6897/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6897/comments | https://api.github.com/repos/huggingface/datasets/issues/6897/events | https://github.com/huggingface/datasets/issues/6897 | 2,293,428,243 | I_kwDODunzps6IsvAT | 6,897 | datasets template guide :: issue in documentation YAML | {
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There is a YAML error at the top of the page, and I don't think it's supposed to be there
### Steps to reproduce the bug
1. Browse to [this tutorial document](https://github.com/huggingface/datasets/blob/main/templates/README_guide.md)
2. Observe a big red error at the top
3. The rest of the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6896 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6896/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6896/comments | https://api.github.com/repos/huggingface/datasets/issues/6896/events | https://github.com/huggingface/datasets/issues/6896 | 2,293,176,061 | I_kwDODunzps6Irxb9 | 6,896 | Regression bug: `NonMatchingSplitsSizesError` for (possibly) overwritten dataset | {
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While trying to load the dataset `https://huggingface.co/datasets/pysentimiento/spanish-tweets-small`, I get this error:
```python
---------------------------------------------------------------------------
NonMatchingSplitsSizesError Traceback (most recent call last)
[<ipyth... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6895 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6895/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6895/comments | https://api.github.com/repos/huggingface/datasets/issues/6895/events | https://github.com/huggingface/datasets/pull/6895 | 2,292,993,156 | PR_kwDODunzps5vRK8P | 6,895 | Document that to_json defaults to JSON Lines | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Document that `Dataset.to_json` defaults to JSON Lines, by adding explanation in the corresponding docstring.
Fix #6894. | {
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Related to:
- #6891 | {
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Unfortunately, huggingface datasets currently does n... | {
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Datasets stored in the JSON format cannot be loaded using `json.load()`
### Steps to reproduce the bug
```
import json
from datasets import load_dataset
dataset = load_dataset("squad")
train_dataset, test_dataset = dataset["train"], dataset["validation"]
test_dataset.to_json("full_dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/6890 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6890/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6890/comments | https://api.github.com/repos/huggingface/datasets/issues/6890/events | https://github.com/huggingface/datasets/issues/6890 | 2,288,699,041 | I_kwDODunzps6Iasah | 6,890 | add `with_transform` and/or `set_transform` to IterableDataset | {
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] | open | false | null | [] | null | [] | 2024-05-10T01:00:12Z | 2024-05-10T01:00:46Z | null | NONE | null | null | null | null | ### Feature request
when working with a really large dataset it would save us a lot of time (and compute resources) to use either with_transform or the set_transform from the Dataset class instead of waiting for the entire dataset to map
### Motivation
don't want to wait for a really long dataset to map, this would ... | null | {
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} | fix bug #6877 due to maybe f becomes invaild after yield process
the results are below:
Resolving data files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 828/828 [00:01<00:00, 420.41it/s]
Resolving data files: 100%|████████... | {
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Fix #6880. | {
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I've use FAISS with Datasets and save to FAISS.
Then load to save FAISS then no error, then ds to None
```python
ds.load_faiss_index('embeddings', 'my_index.faiss')
```
### Steps to reproduce the bug
# 1.
```python
ds_with_embeddings = ds.map(lambda example: {'embeddings': model(transf... | null | {
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with python 3.11 I execute:
```py
from transformers import Wav2Vec2Processor, Data2VecAudioModel
import torch
from torch import nn
from datasets import load_dataset, concatenate_datasets
# load demo audio and set processor
dataset_clean = load_dataset("librispeech_asr", "clean", split="... | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Support jax 0.4.27 in CI tests by using jax Array `devices` method instead of `device` (which no longer exists).
Fix #6884. | {
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```Python traceback
AttributeError: 'jaxlib.xla_extension.DeviceList' object has no attribute 'device'. Did you mean: 'devices'?
```
See: https://github.com/huggingface/datasets/actions/runs/8997488... | {
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The `PIL.Image.ExifTags` that we use in our code was implemented in Pillow-9.4.0: https://github.com/python-pillow/Pillow/commit/24a5405a9f7ea22f28f9c98b3e407292ea5ee1d3
The bug #6881 was introduced in datasets-2.19.0 by this PR:
- #6739... | {
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I'm currently using Clash for Windows as my proxy tunnel, after exporting HTTP_PROXY and HTTPS_PROXY to the port that clash provides🤔, it runs into a connection error saying "Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/2.19.1/metrics/seqeval/seqeval.py (ConnectionError(M... | null | {
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```Python traceback
AttributeError: module 'PIL.Image' has no attribute 'ExifTags'
```
The error traceback:
```Python traceback
~/huggingface/datasets/src/datasets/iterable_dataset.py in __iter__(self)
1... | {
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https://api.github.com/repos/huggingface/datasets/issues/6880 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6880/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6880/comments | https://api.github.com/repos/huggingface/datasets/issues/6880/events | https://github.com/huggingface/datasets/issues/6880 | 2,283,278,337 | I_kwDODunzps6IGBAB | 6,880 | Webdataset: KeyError: 'png' on some datasets when streaming | {
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```python
>>> from datasets import load_dataset
>>> ds = load_dataset("tbone5563/tar_images")
Downloading data: 100%
1.41G/1.41G [00:48<00:00, 17.2MB/s]
Downloading data: 100%
619M/619M [00:11<00:00, 57.4MB/s]
Generating train sp... | {
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https://api.github.com/repos/huggingface/datasets/issues/6879 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6879/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6879/comments | https://api.github.com/repos/huggingface/datasets/issues/6879/events | https://github.com/huggingface/datasets/issues/6879 | 2,282,968,259 | I_kwDODunzps6IE1TD | 6,879 | Batched mapping does not raise an error if values for an existing column are empty | {
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... | [] | open | false | null | [] | null | [] | 2024-05-07T11:02:40Z | 2024-05-07T11:02:40Z | null | NONE | null | null | null | null | ### Describe the bug
Using `Dataset.map(fn, batched=True)` allows resizing the dataset by returning a dict of lists, all of which must be the same size. If they are not the same size, an error like `pyarrow.lib.ArrowInvalid: Column 1 named x expected length 1 but got length 0` is raised.
This is not the case if the... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6878 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6878/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6878/comments | https://api.github.com/repos/huggingface/datasets/issues/6878/events | https://github.com/huggingface/datasets/pull/6878 | 2,282,879,491 | PR_kwDODunzps5uviBh | 6,878 | Create function to convert to parquet | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Analogously with `delete_from_hub`, this PR:
- creates the Python function `convert_to_parquet`
- makes the corresponding CLI command use that function.
This way, the functionality can be used both from a terminal and from a Python console.
This PR also implements a test for convert_to_parquet function. | {
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https://api.github.com/repos/huggingface/datasets/issues/6877 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6877/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6877/comments | https://api.github.com/repos/huggingface/datasets/issues/6877/events | https://github.com/huggingface/datasets/issues/6877 | 2,282,068,337 | I_kwDODunzps6IBZlx | 6,877 | OSError: [Errno 24] Too many open files | {
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I am trying to load the 'default' subset of the following dataset which contains lots of files (828 per split): [https://huggingface.co/datasets/mteb/biblenlp-corpus-mmteb](https://huggingface.co/datasets/mteb/biblenlp-corpus-mmteb)
When trying to load it using the `load_dataset` function I get... | {
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https://api.github.com/repos/huggingface/datasets/issues/6876 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6876/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6876/comments | https://api.github.com/repos/huggingface/datasets/issues/6876/events | https://github.com/huggingface/datasets/pull/6876 | 2,281,450,743 | PR_kwDODunzps5uqs46 | 6,876 | Unpin hfh | {
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- dev version of hfh https://github.com/huggingface/dataset-viewer/pull/2781: don't span the hub with /paths-info requests
- dev version of datasets at https://github.com/huggingface/datasets/pull/6875: don't write too big logs in the viewer
close https://github.com/hugging... | {
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https://api.github.com/repos/huggingface/datasets/issues/6875 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6875/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6875/comments | https://api.github.com/repos/huggingface/datasets/issues/6875/events | https://github.com/huggingface/datasets/pull/6875 | 2,281,428,826 | PR_kwDODunzps5uqoJ_ | 6,875 | Shorten long logs | {
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In that case we should still be able to log something readable | {
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Note that `datasets` has `pandas` as required dependency. And `pandas` includes `ujson` in `pd.io.json.ujson_loads`.
Fix #6867.
CC: @natolambert | {
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https://api.github.com/repos/huggingface/datasets/issues/6871 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6871/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6871/comments | https://api.github.com/repos/huggingface/datasets/issues/6871/events | https://github.com/huggingface/datasets/pull/6871 | 2,280,102,869 | PR_kwDODunzps5umJS6 | 6,871 | Fix download for dict of dicts of URLs | {
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- #6794
This PR also implements regression tests.
Fix #6869, fix #6850. | {
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https://api.github.com/repos/huggingface/datasets/issues/6870 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6870/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6870/comments | https://api.github.com/repos/huggingface/datasets/issues/6870/events | https://github.com/huggingface/datasets/pull/6870 | 2,280,084,008 | PR_kwDODunzps5umFOL | 6,870 | Update tqdm >= 4.66.3 to fix vulnerability | {
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https://api.github.com/repos/huggingface/datasets/issues/6869 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6869/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6869/comments | https://api.github.com/repos/huggingface/datasets/issues/6869/events | https://github.com/huggingface/datasets/issues/6869 | 2,280,048,297 | I_kwDODunzps6H5sap | 6,869 | Download is broken for dict of dicts: FileNotFoundError | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | [] | 2024-05-06T05:13:36Z | 2024-05-06T09:25:53Z | 2024-05-06T09:25:53Z | MEMBER | null | null | null | null | It seems there is a bug when downloading a dict of dicts of URLs introduced by:
- #6794
## Steps to reproduce the bug:
```python
from datasets import DownloadManager
dl_manager = DownloadManager()
paths = dl_manager.download({"train": {"frr": "hf://datasets/wikimedia/wikipedia/20231101.frr/train-00000-of-0000... | {
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https://api.github.com/repos/huggingface/datasets/issues/6868 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6868/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6868/comments | https://api.github.com/repos/huggingface/datasets/issues/6868/events | https://github.com/huggingface/datasets/issues/6868 | 2,279,385,159 | I_kwDODunzps6H3KhH | 6,868 | datasets.BuilderConfig does not work. | {
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I custom a BuilderConfig and GeneratorBasedBuilder.
Here is the code for BuilderConfig
```
class UIEConfig(datasets.BuilderConfig):
def __init__(
self,
*args,
data_dir=None,
instruction_file=None,
instruction_strategy=None,... | {
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https://api.github.com/repos/huggingface/datasets/issues/6867 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6867/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6867/comments | https://api.github.com/repos/huggingface/datasets/issues/6867/events | https://github.com/huggingface/datasets/issues/6867 | 2,279,059,787 | I_kwDODunzps6H17FL | 6,867 | Improve performance of JSON loader | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | [] | 2024-05-04T15:04:16Z | 2024-05-17T16:22:28Z | 2024-05-17T16:22:28Z | MEMBER | null | null | null | null | As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706983714
> There are benchmarks that... | {
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https://api.github.com/repos/huggingface/datasets/issues/6866 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6866/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6866/comments | https://api.github.com/repos/huggingface/datasets/issues/6866/events | https://github.com/huggingface/datasets/issues/6866 | 2,278,736,221 | I_kwDODunzps6H0sFd | 6,866 | DataFilesNotFoundError for datasets in the open-llm-leaderboard | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | [] | 2024-05-04T04:59:00Z | 2024-05-14T08:09:56Z | 2024-05-14T08:09:56Z | NONE | null | null | null | null | ### Describe the bug
When trying to get config names or load any dataset within the open-llm-leaderboard ecosystem (`open-llm-leaderboard/details_`) I receive the DataFilesNotFoundError. For the last month or so I've been loading datasets from the leaderboard almost everyday; yesterday was the first time I started see... | {
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https://api.github.com/repos/huggingface/datasets/issues/6865 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6865/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6865/comments | https://api.github.com/repos/huggingface/datasets/issues/6865/events | https://github.com/huggingface/datasets/issues/6865 | 2,277,304,832 | I_kwDODunzps6HvOoA | 6,865 | Example on Semantic segmentation contains bug | {
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https://huggingface.co/docs/datasets/en/semantic_segmentation shows wrong example with torchvision transforms.
Specifically, as one can see in screenshot below, the object boundaries have weird colors.
<img width="689" alt="image" src="https://github.com/huggingface/datasets/assets/4803565/59... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6864 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6864/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6864/comments | https://api.github.com/repos/huggingface/datasets/issues/6864/events | https://github.com/huggingface/datasets/issues/6864 | 2,276,986,981 | I_kwDODunzps6HuBBl | 6,864 | Dataset 'rewardsignal/reddit_writing_prompts' doesn't exist on the Hub | {
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The dataset `rewardsignal/reddit_writing_prompts` is missing in Huggingface Hub.
### Steps to reproduce the bug
```
from datasets import load_dataset
prompt_response_dataset = load_dataset("rewardsignal/reddit_writing_prompts", data_files="prompt_responses_full.csv", split='train[:80%]... | {
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https://api.github.com/repos/huggingface/datasets/issues/6863 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6863/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6863/comments | https://api.github.com/repos/huggingface/datasets/issues/6863/events | https://github.com/huggingface/datasets/issues/6863 | 2,276,977,534 | I_kwDODunzps6Ht-t- | 6,863 | Revert temporary pin huggingface-hub < 0.23.0 | {
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- #6861
once the following issue is fixed and released:
- huggingface/transformers#30618 | {
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https://api.github.com/repos/huggingface/datasets/issues/6862 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6862/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6862/comments | https://api.github.com/repos/huggingface/datasets/issues/6862/events | https://github.com/huggingface/datasets/pull/6862 | 2,276,763,745 | PR_kwDODunzps5ubOoL | 6,862 | Fix load_dataset for data_files with protocols other than HF | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes huggingface/datasets/issues/6598
I've added a new test case and a solution. Before applying the solution the test case was failing with the same error described in the linked issue.
MRE:
```
pip install "datasets[s3]"
python -c "from datasets import load_dataset; load_dataset('csv', data_files={'train': ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6861 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6861/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6861/comments | https://api.github.com/repos/huggingface/datasets/issues/6861/events | https://github.com/huggingface/datasets/pull/6861 | 2,275,988,990 | PR_kwDODunzps5uYkMy | 6,861 | Fix CI by temporarily pinning huggingface-hub < 0.23.0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | As a hotfix for CI, temporarily pin `huggingface-hub` upper version
Fix #6860.
Revert once root cause is fixed, see:
- https://github.com/huggingface/transformers/issues/30618 | {
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https://api.github.com/repos/huggingface/datasets/issues/6860 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6860/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6860/comments | https://api.github.com/repos/huggingface/datasets/issues/6860/events | https://github.com/huggingface/datasets/issues/6860 | 2,275,537,137 | I_kwDODunzps6HofDx | 6,860 | CI fails after huggingface_hub-0.23.0 release: FutureWarning: "resume_download" | {
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```
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_bertscore - FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume... | {
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https://api.github.com/repos/huggingface/datasets/issues/6859 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6859/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6859/comments | https://api.github.com/repos/huggingface/datasets/issues/6859/events | https://github.com/huggingface/datasets/pull/6859 | 2,274,996,774 | PR_kwDODunzps5uVIoZ | 6,859 | Support folder-based datasets with large metadata.jsonl | {
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} | I tried creating an `imagefolder` dataset with a 714MB `metadata.jsonl` but got the error below. This pull request fixes the problem by increasing the block size like the message suggests.
```
>>> from datasets import load_dataset
>>> dataset = load_dataset("imagefolder", data_dir="data-for-upload")
Traceback (mos... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6858 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6858/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6858/comments | https://api.github.com/repos/huggingface/datasets/issues/6858/events | https://github.com/huggingface/datasets/issues/6858 | 2,274,917,185 | I_kwDODunzps6HmHtB | 6,858 | Segmentation fault | {
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Using various version for datasets, I'm no more longer able to load that dataset without a segmentation fault.
Several others files are also concerned.
### Steps to reproduce the bug
# Create a new venv
python3 -m venv venv_test
source venv_test/bin/activate
# Install the latest versio... | {
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https://api.github.com/repos/huggingface/datasets/issues/6857 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6857/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6857/comments | https://api.github.com/repos/huggingface/datasets/issues/6857/events | https://github.com/huggingface/datasets/pull/6857 | 2,274,849,730 | PR_kwDODunzps5uUooF | 6,857 | Fix line-endings in tests on Windows | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | EDIT:
~~Fix test_delete_from_hub on Windows by passing explicit encoding.~~
Fix test_delete_from_hub and test_xgetsize_private by uploading the README file content directly (encoding the string), instead of writing a local file and uploading it.
Note that local files created on Windows will have "\r\n" line ending... | {
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https://api.github.com/repos/huggingface/datasets/issues/6856 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6856/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6856/comments | https://api.github.com/repos/huggingface/datasets/issues/6856/events | https://github.com/huggingface/datasets/issues/6856 | 2,274,828,933 | I_kwDODunzps6HlyKF | 6,856 | CI fails on Windows for test_delete_from_hub and test_xgetsize_private due to new-line character | {
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- #6820
This is weird because the CI was green in the PR branch before merging to main.
```
FAILED tests/test_hub.py::test_delete_from_hub - AssertionError: assert [CommitOperat...\r\n---\r\n')] == [CommitOperat...in/*\n---\n')]
At index 1 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6855 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6855/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6855/comments | https://api.github.com/repos/huggingface/datasets/issues/6855/events | https://github.com/huggingface/datasets/pull/6855 | 2,274,777,812 | PR_kwDODunzps5uUZNT | 6,855 | Fix dataset name for community Hub script-datasets | {
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Fix #6854.
CC: @Wauplin | {
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```python
>>> ds = load_dataset("google/fleurs")
ValueError: Config name i... | {
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https://api.github.com/repos/huggingface/datasets/issues/6853 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6853/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6853/comments | https://api.github.com/repos/huggingface/datasets/issues/6853/events | https://github.com/huggingface/datasets/issues/6853 | 2,272,570,000 | I_kwDODunzps6HdKqQ | 6,853 | Support soft links for load_datasets imagefolder | {
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] | open | false | null | [] | null | [] | 2024-04-30T22:14:29Z | 2024-04-30T22:14:29Z | null | NONE | null | null | null | null | ### Feature request
Load_dataset from a folder of images doesn't seem to support soft links. It would be nice if it did, especially during methods development where image folders are being curated.
### Motivation
Images are coming from a complex variety of sources and we'd like to be able to soft link directly from ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6852 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6852/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6852/comments | https://api.github.com/repos/huggingface/datasets/issues/6852/events | https://github.com/huggingface/datasets/issues/6852 | 2,272,465,011 | I_kwDODunzps6HcxBz | 6,852 | Write token isn't working while pushing to datasets | {
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<img width="1001" alt="Screenshot 2024-05-01 at 3 37 06 AM" src="https://github.com/huggingface/datasets/assets/130903099/00fcf12c-fcc1-4749-8592-d263d4efcbcc">
As you can see I logged in to my account and the write token is valid.
But I can't upload on my main account and I am getting that ... | {
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