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https://api.github.com/repos/huggingface/datasets/issues/6242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6242/comments | https://api.github.com/repos/huggingface/datasets/issues/6242/events | https://github.com/huggingface/datasets/issues/6242 | 1,896,899,123 | I_kwDODunzps5xEGIz | 6,242 | Data alteration when loading dataset with unspecified inner sequence length | {
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"While this issue may seem specific, it led to a silent problem in my workflow that took days to diagnose. If this feature is not intended to be supported, an error should be raised when encountering this configuration to prevent such issues.",
"Thanks for reporting! This is a MRE:\r\n\r\n```python\r\nimport pyar... | 2023-09-14T16:12:45 | 2023-09-14T16:15:53 | null | CONTRIBUTOR | null | ### Describe the bug
When a dataset saved with a specified inner sequence length is loaded without specifying that length, the original data is altered and becomes inconsistent.
### Steps to reproduce the bug
```python
from datasets import Dataset, Features, Value, Sequence, load_dataset
# Repository ID
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https://api.github.com/repos/huggingface/datasets/issues/6241 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6241/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6241/comments | https://api.github.com/repos/huggingface/datasets/issues/6241/events | https://github.com/huggingface/datasets/pull/6241 | 1,896,429,694 | PR_kwDODunzps5aVfl- | 6,241 | Remove unused global variables in `audio.py` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-09-14T12:06:32 | 2023-09-14T12:15:41 | null | CONTRIBUTOR | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6240 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6240/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6240/comments | https://api.github.com/repos/huggingface/datasets/issues/6240/events | https://github.com/huggingface/datasets/issues/6240 | 1,895,723,888 | I_kwDODunzps5w_nNw | 6,240 | Dataloader stuck on multiple GPUs | {
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"What type of dataset are you using in this script? `torch.utils.data.Dataset` or `datasets.Dataset`? Please share the `datasets` package version if it's the latter. Otherwise, it's better to move this issue to the `accelerate` repo.",
"Very sorry, I thought I had a repo in `accelerate!`\r\nI will close this issu... | 2023-09-14T05:30:30 | 2023-09-14T23:54:42 | 2023-09-14T23:54:42 | NONE | null | ### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loader:" process is finished, it does... | {
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https://api.github.com/repos/huggingface/datasets/issues/6239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6239/comments | https://api.github.com/repos/huggingface/datasets/issues/6239/events | https://github.com/huggingface/datasets/issues/6239 | 1,895,349,382 | I_kwDODunzps5w-LyG | 6,239 | Load local audio data doesn't work | {
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"I think this is the same issue as https://github.com/huggingface/datasets/issues/4776. Maybe installing `ffmpeg` can fix it:\r\n```python\r\nadd-apt-repository -y ppa:savoury1/ffmpeg4\r\napt-get -qq install -y ffmpeg\r\n```\r\n\r\nHowever, the best solution is to use a newer version of `datasets`. In the recent re... | 2023-09-13T22:30:01 | 2023-09-14T12:04:01 | null | NONE | null | ### Describe the bug
I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```python
RuntimeError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6238/comments | https://api.github.com/repos/huggingface/datasets/issues/6238/events | https://github.com/huggingface/datasets/issues/6238 | 1,895,207,828 | I_kwDODunzps5w9pOU | 6,238 | `dataset.filter` ALWAYS removes the first item from the dataset when using batched=True | {
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"`filter` treats the function's output as a (selection) mask - `True` keeps the sample, and `False` drops it. In your case, `bool(0)` evaluates to `False`, so dropping the first sample is the correct behavior.",
"Oh gosh! 🤦 I totally misunderstood the API! My apologies!"
] | 2023-09-13T20:20:37 | 2023-09-14T11:59:16 | null | NONE | null | ### Describe the bug
If you call batched=True when calling `filter`, the first item is _always_ filtered out, regardless of the filter condition.
### Steps to reproduce the bug
Here's a minimal example:
```python
def filter_batch_always_true(batch, indices):
print("First index being passed into this filte... | {
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https://api.github.com/repos/huggingface/datasets/issues/6237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6237/comments | https://api.github.com/repos/huggingface/datasets/issues/6237/events | https://github.com/huggingface/datasets/issues/6237 | 1,893,822,321 | I_kwDODunzps5w4W9x | 6,237 | Tokenization with multiple workers is too slow | {
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"[This](https://huggingface.co/docs/datasets/nlp_process#map) is the most performant way to tokenize a dataset (`batched=True, num_proc=None, return_tensors=\"np\"`) \r\n\r\nIf`tokenizer.is_fast` returns `True`, `num_proc` must be `None/1` to benefit from the fast tokenizers' parallelism (the fast tokenizers are im... | 2023-09-13T06:18:34 | 2023-09-13T18:04:47 | null | NONE | null | I am trying to tokenize a few million documents with multiple workers but the tokenization process is taking forever.
Code snippet:
```
raw_datasets.map(
encode_function,
batched=False,
num_proc=args.preprocessing_num_workers,
load_from_cache_file=not args.ove... | {
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https://api.github.com/repos/huggingface/datasets/issues/6236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6236/comments | https://api.github.com/repos/huggingface/datasets/issues/6236/events | https://github.com/huggingface/datasets/issues/6236 | 1,893,648,480 | I_kwDODunzps5w3shg | 6,236 | Support buffer shuffle for to_tf_dataset | {
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"cc @Rocketknight1 ",
"Hey! You can implement this yourself, just:\r\n\r\n1) Create the dataset with `to_tf_dataset()` with `shuffle=False`\r\n2) Add an `unbatch()` at the end (or use batch_size=1)\r\n3) Add a `shuffle()` to the resulting dataset with your desired buffer size\r\n4) Add a `batch()` at the end agai... | 2023-09-13T03:19:44 | 2023-09-14T17:14:01 | null | NONE | null | ### Feature request
I'm using to_tf_dataset to convert a large dataset to tf.data.Dataset and use Keras fit to train model.
Currently, to_tf_dataset only supports full size shuffle, which can be very slow on large dataset.
tf.data.Dataset support buffer shuffle by default.
shuffle(
buffer_size, seed=None, r... | {
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https://api.github.com/repos/huggingface/datasets/issues/6235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6235/comments | https://api.github.com/repos/huggingface/datasets/issues/6235/events | https://github.com/huggingface/datasets/issues/6235 | 1,893,337,083 | I_kwDODunzps5w2gf7 | 6,235 | Support multiprocessing for download/extract nestedly | {
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Current multiprocessing for download/extract is not done nestedly. For example, when processing SlimPajama, there is only 3 processes (for train/test/val), while there are many files inside these 3 folders
```
Downloading data files #0: 0%| | 0/1 [00:00<?, ?obj/s]
Downloading data f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6233 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6233/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6233/comments | https://api.github.com/repos/huggingface/datasets/issues/6233/events | https://github.com/huggingface/datasets/pull/6233 | 1,891,804,286 | PR_kwDODunzps5aF3kd | 6,233 | Update README.md | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-09-12T06:53:06 | 2023-09-13T18:20:50 | 2023-09-13T18:10:04 | CONTRIBUTOR | null | fixed a typo | {
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https://api.github.com/repos/huggingface/datasets/issues/6232 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6232/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6232/comments | https://api.github.com/repos/huggingface/datasets/issues/6232/events | https://github.com/huggingface/datasets/pull/6232 | 1,891,109,762 | PR_kwDODunzps5aDhhK | 6,232 | Improve error message for missing function parameters | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"CI errors are unrelated",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_nu... | 2023-09-11T19:11:58 | 2023-09-13T22:17:39 | null | NONE | null | The error message in the fingerprint module was missing the f-string 'f' symbol, so the error message returned by fingerprint.py, line 469 was literally "function {func} is missing parameters {fingerprint_names} in signature."
This has been fixed. | {
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https://api.github.com/repos/huggingface/datasets/issues/6231 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6231/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6231/comments | https://api.github.com/repos/huggingface/datasets/issues/6231/events | https://github.com/huggingface/datasets/pull/6231 | 1,890,863,249 | PR_kwDODunzps5aCr8_ | 6,231 | Overwrite legacy default config name in `dataset_infos.json` in packaged datasets | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6231). All of your documentation changes will be reflected on that endpoint."
] | 2023-09-11T16:27:09 | 2023-09-12T15:23:15 | null | CONTRIBUTOR | null | Currently if we push data as default config with `.push_to_hub` to a repo that has a legacy `dataset_infos.json` file containing a legacy default config name like `{username}--{dataset_name}`, new key `"default"` is added to `dataset_infos.json` along with the legacy one. I think the legacy one should be dropped in thi... | {
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https://api.github.com/repos/huggingface/datasets/issues/6230 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6230/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6230/comments | https://api.github.com/repos/huggingface/datasets/issues/6230/events | https://github.com/huggingface/datasets/pull/6230 | 1,890,521,006 | PR_kwDODunzps5aBh6L | 6,230 | Don't skip hidden files in `dl_manager.iter_files` when they are given as input | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2023-09-11T13:29:19 | 2023-09-13T18:21:28 | 2023-09-13T18:12:09 | CONTRIBUTOR | null | Required for `load_dataset(<format>, data_files=["path/to/.hidden_file"])` to work as expected | {
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https://api.github.com/repos/huggingface/datasets/issues/6229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6229/comments | https://api.github.com/repos/huggingface/datasets/issues/6229/events | https://github.com/huggingface/datasets/issues/6229 | 1,889,050,954 | I_kwDODunzps5wmKFK | 6,229 | Apply inference on all images in the dataset | {
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"From what I see, `MMSegInferencer` supports NumPy arrays, so replace the line `image_path = example['image']` with `image_path = np.array(example['image'])` to fix the issue (`example[\"image\"]` is a `PIL.Image` object). ",
"> From what I see, `MMSegInferencer` supports NumPy arrays, so replace the line `image_... | 2023-09-10T08:36:12 | 2023-09-13T06:05:20 | null | NONE | null | ### Describe the bug
```
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[14], line 11
9 for idx, example in enumerate(dataset['train']):
10 image_path = example['image']
---> 11 mask... | {
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https://api.github.com/repos/huggingface/datasets/issues/6228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6228/comments | https://api.github.com/repos/huggingface/datasets/issues/6228/events | https://github.com/huggingface/datasets/pull/6228 | 1,887,959,311 | PR_kwDODunzps5Z5HZi | 6,228 | Remove RGB -> BGR image conversion in Object Detection tutorial | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-09-08T16:09:13 | 2023-09-08T18:02:49 | 2023-09-08T17:52:16 | CONTRIBUTOR | null | Fix #6225 | {
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https://api.github.com/repos/huggingface/datasets/issues/6226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6226/comments | https://api.github.com/repos/huggingface/datasets/issues/6226/events | https://github.com/huggingface/datasets/pull/6226 | 1,887,462,591 | PR_kwDODunzps5Z3arq | 6,226 | Add push_to_hub with multiple configs docs | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-09-08T11:08:55 | 2023-09-08T12:29:21 | 2023-09-08T12:20:51 | MEMBER | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6225/comments | https://api.github.com/repos/huggingface/datasets/issues/6225/events | https://github.com/huggingface/datasets/issues/6225 | 1,887,054,320 | I_kwDODunzps5weinw | 6,225 | Conversion from RGB to BGR in Object Detection tutorial | {
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"Good catch!"
] | 2023-09-08T06:49:19 | 2023-09-08T17:52:18 | 2023-09-08T17:52:17 | NONE | null | The [tutorial](https://huggingface.co/docs/datasets/main/en/object_detection) mentions the necessity of conversion the input image from BGR to RGB
> albumentations expects the image to be in BGR format, not RGB, so you’ll have to convert the image before applying the transform.
[Link to tutorial](https://github.c... | {
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