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https://github.com/huggingface/datasets/issues/5363 | 5,363 | Dataset.from_generator() crashes on simple example | {
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https://github.com/huggingface/datasets/issues/5362 | 5,362 | Run 'GPT-J' failure due to download dataset fail (' ConnectionError: Couldn't reach http://eaidata.bmk.sh/data/enron_emails.jsonl.zst ' ) | {
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"Thanks for reporting, @shaoyuta.\r\n\r\nWe have checked and yes, apparently there is an issue with the server hosting the data of the \"enron_emails\" subset of \"the_pile\" dataset: http://eaidata.bmk.sh/data/enron_emails.jsonl.zst\r\nIt seems to be down: The connection has timed out.\r\n\r\nPlease note that at t... | 2022-12-15T01:23:03Z | 2022-12-15T07:45:54Z | 2022-12-15T07:45:53Z | NONE | null | null | ### Describe the bug
Run model "GPT-J" with dataset "the_pile" fail.
The fail out is as below:
Looks like which is due to "http://eaidata.bmk.sh/data/enron_emails.jsonl.zst" unreachable .
### Steps to ... | {
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https://github.com/huggingface/datasets/issues/5361 | 5,361 | How concatenate `Audio` elements using batch mapping | {
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"You can try something like this ?\r\n```python\r\ndef mapper_function(batch):\r\n return {\"concatenated_audio\": [np.concatenate([audio[\"array\"] for audio in batch[\"audio\"]])]}\r\n\r\ndataset = dataset.map(\r\n mapper_function,\r\n batched=True,\r\n batch_size=3,\r\n remove_columns=list(dataset.... | 2022-12-14T18:13:55Z | 2023-07-21T14:30:51Z | 2023-07-21T14:30:51Z | NONE | null | null | ### Describe the bug
I am trying to do concatenate audios in a dataset e.g. `google/fleurs`.
```python
print(dataset)
# Dataset({
# features: ['path', 'audio'],
# num_rows: 24
# })
def mapper_function(batch):
# to merge every 3 audio
# np.concatnate(audios[i: i+3]) for i in range(i, len(batc... | {
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https://github.com/huggingface/datasets/issues/5360 | 5,360 | IterableDataset returns duplicated data using PyTorch DDP | {
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"If you use huggingface trainer, you will find the trainer has wrapped a `IterableDatasetShard` to avoid duplication.\r\nSee:\r\nhttps://github.com/huggingface/transformers/blob/dfd818420dcbad68e05a502495cf666d338b2bfb/src/transformers/trainer.py#L835\r\n",
"If you want to support it by datasets natively, maybe w... | 2022-12-14T16:06:19Z | 2023-06-15T09:51:13Z | 2023-01-16T13:33:33Z | MEMBER | null | null | As mentioned in https://github.com/huggingface/datasets/issues/3423, when using PyTorch DDP the dataset ends up with duplicated data. We already check for the PyTorch `worker_info` for single node, but we should also check for `torch.distributed.get_world_size()` and `torch.distributed.get_rank()` | {
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https://github.com/huggingface/datasets/pull/5359 | 5,359 | Raise error if ClassLabel names is not python list | {
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"Thanks for your proposed fix, @freddyheppell.\r\n\r\nCurrently the CI fails because in a test we pass a `tuple` instead of a `list`. I would say we should accept `tuple` as a valid input type as well...\r\n\r\nWhat about checking for... | 2022-12-13T23:04:06Z | 2022-12-22T16:35:49Z | 2022-12-22T16:32:49Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/5358 | 5,358 | Fix `fs.open` resource leaks | {
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Introduces no significant logic changes. | {
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https://github.com/huggingface/datasets/pull/5357 | 5,357 | Support torch dataloader without torch formatting | {
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"> And I actually don't quite understand the idea - what's the motivation behind making only IterableDataset compatible with torch DataLoader without setting the format... | 2022-12-13T19:39:24Z | 2023-01-04T12:45:40Z | 2022-12-15T19:15:54Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | In https://github.com/huggingface/datasets/pull/5084 we make the torch formatting consistent with the map-style datasets formatting: a torch formatted iterable dataset will yield torch tensors.
The previous behavior of the torch formatting for iterable dataset was simply to make the iterable dataset inherit from `to... | {
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https://github.com/huggingface/datasets/pull/5356 | 5,356 | Clean filesystem and logging docstrings | {
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https://github.com/huggingface/datasets/pull/5355 | 5,355 | Clean up Table class docstrings | {
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https://github.com/huggingface/datasets/issues/5354 | 5,354 | Consider using "Sequence" instead of "List" | {
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"Hi! Linking a comment to provide more info on the issue: https://stackoverflow.com/a/39458225. This means we should replace all (most of) the occurrences of `List` with `Sequence` in function signatures.\r\n\r\n@tranhd95 Would you be interested in submitting a PR?",
"Hi all! I tried to reproduce this issue and d... | 2022-12-12T15:39:45Z | 2025-09-24T03:05:51Z | null | NONE | null | null | ### Feature request
Hi, please consider using `Sequence` type annotation instead of `List` in function arguments such as in [`Dataset.from_parquet()`](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L1088). It leads to type checking errors, see below.
**How to reproduce**
```py
... | null | {
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https://github.com/huggingface/datasets/issues/5353 | 5,353 | Support remote file systems for `Audio` | {
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"Just seen https://github.com/huggingface/datasets/issues/5281"
] | 2022-12-12T13:22:13Z | 2022-12-12T13:37:14Z | 2022-12-12T13:37:14Z | NONE | null | null | ### Feature request
Hi there!
It would be super cool if `Audio()`, and potentially other features, could read files from a remote file system.
### Motivation
Large amounts of data is often stored in buckets. `load_from_disk` is able to retrieve data from cloud storage but to my knowledge actually copies the datas... | {
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https://github.com/huggingface/datasets/issues/5352 | 5,352 | __init__() got an unexpected keyword argument 'input_size' | {
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"Hi @J-shel, thanks for reporting.\r\n\r\nI think the issue comes from your call to `load_dataset`. As first argument, you should pass:\r\n- either the name of your dataset (\"mrf\") if this is already published on the Hub\r\n- or the path to the loading script of your dataset (\"path/to/your/local/mrf.py\").",
"... | 2022-12-12T02:52:03Z | 2022-12-19T01:38:48Z | null | NONE | null | null | ### Describe the bug
I try to define a custom configuration with a input_size attribute following the instructions by "Specifying several dataset configurations" in https://huggingface.co/docs/datasets/v1.2.1/add_dataset.html
But when I load the dataset, I got an error "__init__() got an unexpected keyword argument... | null | {
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https://github.com/huggingface/datasets/issues/5351 | 5,351 | Do we need to implement `_prepare_split`? | {
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"Hi! `DatasetBuilder` is a parent class for concrete builders: `GeneratorBasedBuilder`, `ArrowBasedBuilder` and `BeamBasedBuilder`. When writing a builder script, these classes are the ones you should inherit from. And since all of them implement `_prepare_split`, you only have to implement the three methods mentio... | 2022-12-12T01:38:54Z | 2022-12-20T18:20:57Z | 2022-12-12T16:48:56Z | NONE | null | null | ### Describe the bug
I'm not sure this is a bug or if it's just missing in the documentation, or i'm not doing something correctly, but I'm subclassing `DatasetBuilder` and getting the following error because on the `DatasetBuilder` class the `_prepare_split` method is abstract (as are the others we are required to im... | {
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https://github.com/huggingface/datasets/pull/5350 | 5,350 | Clean up Loading methods docstrings | {
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https://github.com/huggingface/datasets/pull/5349 | 5,349 | Clean up remaining Main Classes docstrings | {
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https://github.com/huggingface/datasets/issues/5348 | 5,348 | The data downloaded in the download folder of the cache does not respect `umask` | {
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"note, that `datasets` already did some of that umask fixing in the past and also at the hub - the recent work on the hub about the same: https://github.com/huggingface/huggingface_hub/pull/1220\r\n\r\nAlso I noticed that each file has a .json counterpart and the latter always has the correct perms:\r\n\r\n```\r\n-... | 2022-12-09T15:46:27Z | 2022-12-09T17:21:26Z | null | CONTRIBUTOR | null | null | ### Describe the bug
For a project on a cluster we are several users to share the same cache for the datasets library. And we have a problem with the permissions on the data downloaded in the cache.
Indeed, it seems that the data is downloaded by giving read and write permissions only to the user launching the com... | null | {
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https://github.com/huggingface/datasets/pull/5347 | 5,347 | Force soundfile to return float32 instead of the default float64 | {
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"cc @polinaeterna",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5347). All of your documentation changes will be reflected on that endpoint.",
"Cool ! Feel free to add a comment in the code to explain that and we can merge :)",
"I'm not sure if this is a good change ... | 2022-12-09T15:10:24Z | 2023-01-17T16:12:49Z | null | NONE | false | {
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https://github.com/huggingface/datasets/issues/5346 | 5,346 | [Quick poll] Give your opinion on the future of the Hugging Face Open Source ecosystem! | {
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"As the survey is finished, can we close this issue, @LysandreJik ?",
"Yes! I'll post a public summary on the forums shortly.",
"Is the summary available? I would be interested in reading your findings."
] | 2022-12-09T14:48:02Z | 2023-06-02T20:24:44Z | 2023-01-25T19:35:40Z | MEMBER | null | null | Thanks to all of you, Datasets is just about to pass 15k stars!
Since the last survey, a lot has happened: the [diffusers](https://github.com/huggingface/diffusers), [evaluate](https://github.com/huggingface/evaluate) and [skops](https://github.com/skops-dev/skops) libraries were born. `timm` joined the Hugging Face... | {
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https://github.com/huggingface/datasets/issues/5345 | 5,345 | Wrong dtype for array in audio features | {
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"After some more investigation, this is due to [this line of code](https://github.com/huggingface/datasets/blob/main/src/datasets/features/audio.py#L279). The function `sf.read(file)` should be updated to `sf.read(file, dtype=\"float32\")`\r\n\r\nIndeed, the default value in soundfile is `float64` ([see here](https... | 2022-12-09T11:05:11Z | 2023-02-10T14:39:28Z | null | NONE | null | null | ### Describe the bug
When concatenating/interleaving different datasets, I stumble into an error because the features can't be aligned. After some investigation, I understood that the audio arrays had different dtypes, namely `float32` and `float64`. Consequently, the datasets cannot be merged.
### Steps to repro... | null | {
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https://github.com/huggingface/datasets/pull/5344 | 5,344 | Clean up Dataset and DatasetDict | {
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https://github.com/huggingface/datasets/issues/5343 | 5,343 | T5 for Q&A produces truncated sentence | {
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https://github.com/huggingface/datasets/issues/5342 | 5,342 | Emotion dataset cannot be downloaded | {
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"Hi @cbarond there's already an open issue at https://github.com/dair-ai/emotion_dataset/issues/5, as the data seems to be missing now, so check that issue instead 👍🏻 ",
"Thanks @cbarond for reporting and @alvarobartt for pointing to the issue we opened in the author's repo.\r\n\r\nIndeed, this issue was first ... | 2022-12-08T19:07:09Z | 2023-02-23T19:13:19Z | 2022-12-09T10:46:11Z | NONE | null | null | ### Describe the bug
The emotion dataset gives a FileNotFoundError. The full error is: `FileNotFoundError: Couldn't find file at https://www.dropbox.com/s/1pzkadrvffbqw6o/train.txt?dl=1`.
It was working yesterday (December 7, 2022), but stopped working today (December 8, 2022).
### Steps to reproduce the bug
... | {
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https://github.com/huggingface/datasets/pull/5341 | 5,341 | Remove tasks.json | {
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https://github.com/huggingface/datasets/pull/5340 | 5,340 | Clean up DatasetInfo and Dataset docstrings | {
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https://github.com/huggingface/datasets/pull/5339 | 5,339 | Add Video feature, videofolder, and video-classification task | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5339). All of your documentation changes will be reflected on that endpoint.",
"@lhoestq I think I need some serious help with the tests 😅...I started this locally but it got too time consuming.\n\nOne issue I remember running... | 2022-12-07T20:48:34Z | 2024-01-11T06:30:24Z | 2023-10-11T09:13:11Z | CONTRIBUTOR | true | {
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} | This PR does the following:
- Adds `Video` feature (Resolves #5225 )
- Adds `video-classification` task
- Adds `videofolder` packaged module for easy loading of local video classification datasets
TODO:
- [ ] add tests
- [ ] add docs | {
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https://github.com/huggingface/datasets/issues/5338 | 5,338 | `map()` stops every 1000 steps | {
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"Hi !\r\n\r\n> It starts using all the cores (I am not sure why because I did not pass num_proc)\r\n\r\nThe tokenizer uses Rust code that is multithreaded. And maybe the `feature_extractor` might run some things in parallel as well - but I'm not super familiar with its internals.\r\n\r\n> then progress bar stops at... | 2022-12-07T19:09:40Z | 2025-02-14T18:10:07Z | 2022-12-10T00:39:28Z | NONE | null | null | ### Describe the bug
I am passing the following `prepare_dataset` function to `Dataset.map` (code is inspired from [here](https://github.com/huggingface/community-events/blob/main/whisper-fine-tuning-event/run_speech_recognition_seq2seq_streaming.py#L454))
```python3
def prepare_dataset(batch):
# load and res... | {
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https://github.com/huggingface/datasets/issues/5337 | 5,337 | Support webdataset format | {
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"I like the idea of having `webdataset` as an optional dependency to ensure our loader generates web datasets the same way as the main project.",
"Webdataset is the one of the most popular dataset formats for large scale computer vision tasks. Upvote for this issue. ",
"Any updates on this?",
"We haven't had ... | 2022-12-07T11:32:25Z | 2024-03-06T14:39:29Z | 2024-03-06T14:39:28Z | MEMBER | null | null | Webdataset is an efficient format for iterable datasets. It would be nice to support it in `datasets`, as discussed in https://github.com/rom1504/img2dataset/issues/234.
In particular it would be awesome to be able to load one using `load_dataset` in streaming mode (either from a local directory, or from a dataset o... | {
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https://github.com/huggingface/datasets/pull/5336 | 5,336 | Set `IterableDataset.map` param `batch_size` typing as optional | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5336). All of your documentation changes will be reflected on that endpoint.",
"Hi @mariosasko, @lhoestq I was wondering whether we should include `batched` as a `pytest.mark` param for the functions testing `IterableDataset.ma... | 2022-12-06T17:08:10Z | 2022-12-07T14:14:56Z | 2022-12-07T14:06:27Z | MEMBER | false | {
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~Indeed we're using the typing for optional values as `Union[type, None]` as it's similar to how Python 3.10 handles optional values as `type | None`, instead of using `Optional[type]`.~
~Do we want to start using `Union[type, None]` for type-hinting optional values or just keep on using `Op... | {
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https://github.com/huggingface/datasets/pull/5335 | 5,335 | Update tasks.json | {
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"I think the only place where we need to add it is here https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts\r\n\r\nAnd I think we can remove tasks.json completely from this repo",
"Isn't tasks.json used ... | 2022-12-06T11:37:57Z | 2023-09-24T10:06:42Z | 2022-12-07T12:46:03Z | MEMBER | false | {
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* https://github.com/huggingface/datasets/issues/5255#issuecomment-1339107195
Cc: @osanseviero | {
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https://github.com/huggingface/datasets/pull/5334 | 5,334 | Clean up docstrings | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks ! Let us know if we can help :)\r\n\r\nSmall pref for having multiple PRs",
"Awesome, thanks! Sorry this one is a little big, I'll open some smaller ones next :)"
] | 2022-12-05T20:56:08Z | 2022-12-09T01:44:25Z | 2022-12-09T01:41:44Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | As raised by @polinaeterna in #5324, some of the docstrings are a bit of a mess because it has both Markdown and Sphinx syntax. This PR fixes the docstring for `DatasetBuilder`.
I'll start working on cleaning up the rest of the docstrings and removing the old Sphinx syntax (let me know if you prefer one big PR with... | {
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https://github.com/huggingface/datasets/pull/5333 | 5,333 | fix: 🐛 pass the token to get the list of config names | {
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] | 2022-12-05T16:06:09Z | 2022-12-06T08:25:17Z | 2022-12-06T08:22:49Z | COLLABORATOR | false | {
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https://github.com/huggingface/datasets/issues/5332 | 5,332 | Passing numpy array to ClassLabel names causes ValueError | {
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"Should `datasets` allow `ClassLabel` input parameter to be an `np.array` even though internally we need to cast it to a Python list? @lhoestq @mariosasko ",
"Hi! No, I don't think so. The `names` parameter is [annotated](https://github.com/huggingface/datasets/blob/582236640b9109988e5f7a16a8353696ffa09a16/src/d... | 2022-12-05T12:59:03Z | 2022-12-22T16:32:50Z | 2022-12-22T16:32:50Z | CONTRIBUTOR | null | null | ### Describe the bug
If a numpy array is passed to the names argument of ClassLabel, creating a dataset with those features causes an error.
### Steps to reproduce the bug
https://colab.research.google.com/drive/1cV_es1PWZiEuus17n-2C-w0KEoEZ68IX
TLDR:
If I define my classes as:
```
my_classes = np.array(['on... | {
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https://github.com/huggingface/datasets/pull/5331 | 5,331 | Support for multiple configs in packaged modules via metadata yaml info | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"feel free to merge `main` into your PR to fix the CI :)",
"Let me see if I can fix the pattern thing ^^'",
"Hmm I think it would be easier to specify the `data_files` in the end, because having a split pattern like `{split}-...` ... | 2022-12-02T16:43:44Z | 2023-07-24T15:49:54Z | 2023-07-13T13:27:56Z | CONTRIBUTOR | false | {
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Config parameters for packaged builders are parsed from `“builder_config”` field in README.md file (separate firs-level field, not part of “dataset_info”), example:
```yaml
---
... | {
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https://github.com/huggingface/datasets/pull/5329 | 5,329 | Clarify imagefolder is for small datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think it's also reasonable to add the same note to the AudioFolder decription",
"Thank you ! I think \"regular\" is more appropriate than \"small\". It can easily scale to a few thousands of images - just not millions x)",
"Rep... | 2022-12-01T21:47:29Z | 2022-12-06T17:20:04Z | 2022-12-06T17:16:53Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Based on feedback from [here](https://github.com/huggingface/datasets/issues/5317#issuecomment-1334108824), this PR adds a note to the `imagefolder` loading and creating docs that `imagefolder` is designed for small scale image datasets. | {
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https://github.com/huggingface/datasets/pull/5328 | 5,328 | Fix docs building for main | {
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- #5250
Fix #5326. | {
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https://github.com/huggingface/datasets/pull/5327 | 5,327 | Avoid unwanted behaviour when splits from script and metadata are not matching because of outdated metadata | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5327). All of your documentation changes will be reflected on that endpoint."
] | 2022-12-01T17:05:23Z | 2023-01-23T12:48:29Z | null | CONTRIBUTOR | true | {
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} | will fix #5315 | null | {
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https://github.com/huggingface/datasets/issues/5326 | 5,326 | No documentation for main branch is built | {
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- #5250
- Commit: 703b84311f4ead83c7f79639f2dfa739295f0be6
the docs for main branch are no longer built.
The change introduced only triggers the docs building for releases. | {
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https://github.com/huggingface/datasets/issues/5325 | 5,325 | map(...batch_size=None) for IterableDataset | {
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"Hi! I agree it makes sense for `IterableDataset.map` to support the `batch_size=None` case. This should be super easy to fix.",
"@mariosasko as this is something simple maybe I can include it as part of https://github.com/huggingface/datasets/pull/5311? Let me know :+1:",
"#self-assign",
"Feel free to close ... | 2022-12-01T15:43:42Z | 2022-12-07T15:54:43Z | 2022-12-07T15:54:42Z | CONTRIBUTOR | null | null | ### Feature request
Dataset.map(...) allows batch_size to be None. It would be nice if IterableDataset did too.
### Motivation
Although it may seem a bit of a spurious request given that `IterableDataset` is meant for larger than memory datasets, but there are a couple of reasons why this might be nice.
One is th... | {
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https://github.com/huggingface/datasets/issues/5324 | 5,324 | Fix docstrings and types in documentation that appears on the website | {
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"I agree we have a mess with docstrings...",
"Ok, I believe we've cleaned up most of the old syntax we were using for the user-facing docs! There are still a couple of `:obj:`'s and `:class:` floating around in the docstrings we don't expose that I'll track down :)",
"Hi @polinaeterna @albertvillanova @stevhliu... | 2022-12-01T15:34:53Z | 2024-01-23T16:21:54Z | null | CONTRIBUTOR | null | null | While I was working on https://github.com/huggingface/datasets/pull/5313 I've noticed that we have a mess in how we annotate types and format args and return values in the code. And some of it is displayed in the [Reference section](https://huggingface.co/docs/datasets/package_reference/builder_classes) of the document... | null | {
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https://github.com/huggingface/datasets/issues/5323 | 5,323 | Duplicated Keys in Taskmaster-2 Dataset | {
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"Thanks for reporting, @liaeh.\r\n\r\nWe are having a look at it. ",
"I have transferred the discussion to the Community tab of the dataset: https://huggingface.co/datasets/taskmaster2/discussions/1"
] | 2022-12-01T15:31:06Z | 2022-12-01T16:26:06Z | 2022-12-01T16:26:06Z | NONE | null | null | ### Describe the bug
Loading certain splits () of the taskmaster-2 dataset fails because of a DuplicatedKeysError. This occurs for the following domains: `'hotels', 'movies', 'music', 'sports'`. The domains `'flights', 'food-ordering', 'restaurant-search'` load fine.
Output:
### Steps to reproduce the bug
```
... | {
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https://github.com/huggingface/datasets/pull/5322 | 5,322 | Raise error for `.tar` archives in the same way as for `.tar.gz` and `.tgz` in `_get_extraction_protocol` | {
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That means tha... | {
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https://github.com/huggingface/datasets/pull/5321 | 5,321 | Fix loading from HF GCP cache | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Do you know why this stopped working?\r\n\r\nIt comes from the changes in https://github.com/huggingface/datasets/pull/5107/files#diff-355ae5c229f95f86895404b72378ecd6e966c41cbeebb674af6fe6e9611bc126"
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | As reported in https://discuss.huggingface.co/t/error-loading-wikipedia-dataset/26599/4 it's not possible to download a cached version of Wikipedia from the HF GCP cache
I fixed it and added an integration test (runs in 10sec) | {
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https://github.com/huggingface/datasets/pull/5320 | 5,320 | [Extract] Place the lock file next to the destination directory | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Previously it was placed next to the archive to extract, but the archive can be in a read-only directory as noticed in https://github.com/huggingface/datasets/issues/5295
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https://github.com/huggingface/datasets/pull/5319 | 5,319 | Fix Text sample_by paragraph | {
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https://github.com/huggingface/datasets/pull/5318 | 5,318 | Origin/fix missing features error | {
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"Thanks :) I just updated the test to make sure it works even when there's a column missing, and did a minor change to json.py to add the missing columns for the other kinds of JSON files ... | 2022-12-01T06:18:39Z | 2022-12-12T19:06:42Z | 2022-12-04T05:49:39Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This fixes the problem of when the dataset_load function reads a function with "features" provided but some read batches don't have columns that later show up. For instance, the provided "features" requires columns A,B,C but only columns B,C show. This fixes this by adding the column A with nulls. | {
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https://github.com/huggingface/datasets/issues/5317 | 5,317 | `ImageFolder` performs poorly with large datasets | {
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"Hi ! ImageFolder is made for small scale datasets indeed. For large scale image datasets you better group your images in TAR archives or Arrow/Parquet files. This is true not just for ImageFolder loading performance, but also because having millions of files is not ideal for your filesystem or when moving the data... | 2022-12-01T00:04:21Z | 2022-12-01T21:49:26Z | null | NONE | null | null | ### Describe the bug
While testing image dataset creation, I'm seeing significant performance bottlenecks with imagefolders when scanning a directory structure with large number of images.
## Setup
* Nested directories (5 levels deep)
* 3M+ images
* 1 `metadata.jsonl` file
## Performance Degradation Point... | null | {
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https://github.com/huggingface/datasets/issues/5316 | 5,316 | Bug in sample_by="paragraph" | {
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"Thanks for reporting, @adampauls.\r\n\r\nWe are having a look at it. "
] | 2022-11-30T19:24:13Z | 2022-12-01T15:19:02Z | 2022-12-01T15:19:02Z | NONE | null | null | ### Describe the bug
I think [this line](https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/text/text.py#L96) is wrong and should be `batch = f.read(self.config.chunksize)`. Otherwise it will never terminate because even when `f` is finished reading, `batch` will still be truthy from the l... | {
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https://github.com/huggingface/datasets/issues/5315 | 5,315 | Adding new splits to a dataset script with existing old splits info in metadata's `dataset_info` fails | {
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"EDIT:\r\nI think in this case, the metadata files (either README or JSON) should not be read (i.e. `self.info.splits` should be None).\r\n\r\nOne idea: \r\n- I think ideally we should set this behavior when we pass `--save_info` to the CLI `test`\r\n- However, currently, the builder is unaware of this: `save_info`... | 2022-11-30T18:02:15Z | 2022-12-02T07:02:53Z | null | CONTRIBUTOR | null | null | ### Describe the bug
If you first create a custom dataset with a specific set of splits, generate metadata with `datasets-cli test ... --save_info`, then change your script to include more splits, it fails.
That's what happened in https://huggingface.co/datasets/mrdbourke/food_vision_199_classes/discussions/2#6385f... | null | {
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https://github.com/huggingface/datasets/issues/5314 | 5,314 | Datasets: classification_report() got an unexpected keyword argument 'suffix' | {
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"This seems similar to https://github.com/huggingface/datasets/issues/2512 Can you try to update seqeval ? ",
"@JonathanAlis also note that the metrics are deprecated in our `datasets` library.\r\n\r\nPlease, use the new library 🤗 Evaluate instead: https://huggingface.co/docs/evaluate"
] | 2022-11-30T14:01:03Z | 2023-07-21T14:40:31Z | 2023-07-21T14:40:31Z | NONE | null | null | https://github.com/huggingface/datasets/blob/main/metrics/seqeval/seqeval.py
> import datasets
predictions = [['O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']]
references = [['O', 'O', 'O', 'B-MISC', 'I-MISC', 'I-MISC', 'O'], ['B-PER', 'I-PER', 'O']]
seqeval = datasets.load_metri... | {
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https://github.com/huggingface/datasets/pull/5313 | 5,313 | Fix description of streaming in the docs | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | We say that "the data is being downloaded progressively" which is not true, it's just streamed, so I fixed it. Probably I missed some other places where it is written?
Also changed docstrings for `StreamingDownloadManager`'s `download` and `extract` to reflect the same, as these docstrings are displayed in the docu... | {
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https://github.com/huggingface/datasets/pull/5312 | 5,312 | Add DatasetDict.to_pandas | {
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"The current implementation is what I had in mind, i.e. concatenate all splits by default.\r\n\r\nHowever, I think most tabular datasets would come as a single split. So for that usecase, it wouldn't change UX if we raise when there are more than one splits.\r\n\r\nAnd for multiple splits, the user either passes a ... | 2022-11-29T16:30:02Z | 2023-09-24T10:06:19Z | 2023-01-25T17:33:42Z | MEMBER | false | {
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```python
df = load_dataset(...)["train"].to_pandas()
```
because many datasets are not split.
In this PR I added `to_pandas` to `DatasetDict` which returns the DataFrame:
If th... | {
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https://github.com/huggingface/datasets/pull/5311 | 5,311 | Add `features` param to `IterableDataset.map` | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## Description
As suggested by @lhoestq in #3888, we should be adding the param `features` to `IterableDataset.map` so that the features can be preserved (not turned into `None` as that's the default behavior) whenever the user passes those as param, so as to be consistent with `Dataset.map`, as it provides the `fea... | {
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https://github.com/huggingface/datasets/pull/5310 | 5,310 | Support xPath for Windows pathnames | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR implements a string representation of `xPath`, which is valid for local paths (also windows) and remote URLs.
Additionally, some `os.path` methods are fixed for remote URLs on Windows machines.
Now, on Windows machines:
```python
In [2]: str(xPath("C:\\dir\\file.txt"))
Out[2]: 'C:\\dir\\file.txt'
In [... | {
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https://github.com/huggingface/datasets/pull/5309 | 5,309 | Close stream in `ArrowWriter.finalize` before inference error | {
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https://github.com/huggingface/datasets/pull/5308 | 5,308 | Support `topdown` parameter in `xwalk` | {
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"I like the `kwargs` approach, thanks!"
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https://github.com/huggingface/datasets/pull/5307 | 5,307 | Use correct dataset type in `from_generator` docs | {
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https://github.com/huggingface/datasets/issues/5306 | 5,306 | Can't use custom feature description when loading a dataset | {
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"Forgot to actually convert the feature dict to a Feature object. Closing."
] | 2022-11-28T07:55:44Z | 2022-11-28T08:11:45Z | 2022-11-28T08:11:44Z | MEMBER | null | null | ### Describe the bug
I have created a feature dictionary to describe my datasets' column types, to use when loading the dataset, following [the doc](https://huggingface.co/docs/datasets/main/en/about_dataset_features). It crashes at dataset load.
### Steps to reproduce the bug
```python
# Creating features
task_... | {
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https://github.com/huggingface/datasets/issues/5305 | 5,305 | Dataset joelito/mc4_legal does not work with multiple files | {
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"Thanks for reporting @JoelNiklaus.\r\n\r\nPlease note that since we moved all dataset loading scripts to the Hub, the issues and pull requests relative to specific datasets are directly handled on the Hub, in their Community tab. I'm transferring this issue there: https://huggingface.co/datasets/joelito/mc4_legal/... | 2022-11-28T00:16:16Z | 2022-11-28T07:22:42Z | 2022-11-28T07:22:42Z | CONTRIBUTOR | null | null | ### Describe the bug
The dataset https://huggingface.co/datasets/joelito/mc4_legal works for languages like bg with a single data file, but not for languages with multiple files like de. It shows zero rows for the de dataset.
joelniklaus@Joels-MacBook-Pro ~/N/P/C/L/p/m/mc4_legal (main) [1]> python test_mc4_legal.... | {
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https://github.com/huggingface/datasets/issues/5304 | 5,304 | timit_asr doesn't load the test split. | {
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"The [timit_asr.py](https://huggingface.co/datasets/timit_asr/blob/main/timit_asr.py) script iterates over the WAV files per split directory using this:\r\n```python\r\nwav_paths = sorted(Path(data_dir).glob(f\"**/{split}/**/*.wav\"))\r\nwav_paths = wav_paths if wav_paths else sorted(Path(data_dir).glob(f\"**/{spli... | 2022-11-26T10:18:22Z | 2023-02-10T16:33:21Z | 2023-02-10T16:33:21Z | NONE | null | null | ### Describe the bug
When I use the function ```timit = load_dataset('timit_asr', data_dir=data_dir)```, it only loads train split, not test split.
I tried to change the directory and filename to lower case to upper case for the test split, but it does not work at all.
```python
DatasetDict({
train: Datase... | {
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https://github.com/huggingface/datasets/pull/5303 | 5,303 | Skip dataset verifications by default | {
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"100% agree that the checksum verification is overkill and not super useful. But I think this PR would also disable the check on num_examples no ?\r\n \r\nAs a user I would like to know if the dataset I'm loading changed significantly... | 2022-11-25T18:39:09Z | 2023-02-13T16:50:42Z | 2023-02-13T16:43:47Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Skip the dataset verifications (split and checksum verifications, duplicate keys check) by default unless a dataset is being tested (`datasets-cli test/run_beam`). The main goal is to avoid running the checksum check in the default case due to how expensive it can be for large datasets.
PS: Maybe we should deprecate... | {
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https://github.com/huggingface/datasets/pull/5302 | 5,302 | Improve `use_auth_token` docstring and deprecate `use_auth_token` in `download_and_prepare` | {
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https://github.com/huggingface/datasets/pull/5301 | 5,301 | Return a split Dataset in load_dataset | {
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"Just noticed that now we have to deal with indexed & split datasets. The remaining tests are failing because one should be able to get an indexed d... | 2022-11-25T16:35:54Z | 2023-09-24T10:06:15Z | 2023-02-21T13:13:13Z | MEMBER | true | {
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} | ...instead of a DatasetDict.
```python
# now supported
ds = load_dataset("squad")
ds[0]
for example in ds:
pass
# still works
ds["train"]
ds["validation"]
# new
ds.splits # Dict[str, Dataset] | None
# soon to be supported (not in this PR)
ds = load_dataset("dataset_with_no_splits")
ds[0]
f... | {
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https://github.com/huggingface/datasets/pull/5300 | 5,300 | Use same `num_proc` for dataset download and generation | {
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"I noticed this bug the other day and was going to look into it! \"Where are these processes coming from?\" ;-)"
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https://github.com/huggingface/datasets/pull/5299 | 5,299 | Fix xopen for Windows pathnames | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes a bug in `xopen` function for Windows pathnames.
Fix #5298. | {
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https://github.com/huggingface/datasets/issues/5298 | 5,298 | Bug in xopen with Windows pathnames | {
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] | closed | false | [] | 2022-11-25T15:21:32Z | 2022-11-29T08:21:25Z | 2022-11-29T08:21:25Z | MEMBER | null | null | Currently, `xopen` function has a bug with local Windows pathnames:
From its implementation:
```python
def xopen(file: str, mode="r", *args, **kwargs):
file = _as_posix(PurePath(file))
main_hop, *rest_hops = file.split("::")
if is_local_path(main_hop):
return open(file, mode, *args, **kwarg... | {
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https://github.com/huggingface/datasets/pull/5297 | 5,297 | Fix xjoin for Windows pathnames | {
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Fix #5296. | {
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https://github.com/huggingface/datasets/issues/5296 | 5,296 | Bug in xjoin with Windows pathnames | {
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] | closed | false | [] | 2022-11-25T13:29:33Z | 2022-11-29T08:05:13Z | 2022-11-29T08:05:13Z | MEMBER | null | null | Currently, `xjoin` function has a bug with local Windows pathnames: instead of returning the OS-dependent join pathname, it always returns it in POSIX format.
```python
from datasets.download.streaming_download_manager import xjoin
path = xjoin("C:\\Users\\USERNAME", "filename.txt")
```
Join path should be:
... | {
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https://github.com/huggingface/datasets/issues/5295 | 5,295 | Extractions failed when .zip file located on read-only path (e.g., SageMaker FastFile mode) | {
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"Hi ! Thanks for reporting. Indeed the lock file should be placed in a directory with write permission (e.g. in the directory where the archive is extracted).",
"I opened https://github.com/huggingface/datasets/pull/5320 to fix this - it places the lock file in the cache directory instead of trying to put in next... | 2022-11-25T03:59:43Z | 2023-07-21T14:39:09Z | 2023-07-21T14:39:09Z | NONE | null | null | ### Describe the bug
Hi,
`load_dataset()` does not work .zip files located on a read-only directory. Looks like it's because Dataset creates a lock file in the [same directory](https://github.com/huggingface/datasets/blob/df4bdd365f2abb695f113cbf8856a925bc70901b/src/datasets/utils/extract.py) as the .zip file.
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https://github.com/huggingface/datasets/pull/5294 | 5,294 | Support streaming datasets with pathlib.Path.with_suffix | {
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Fix #5293. | {
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https://github.com/huggingface/datasets/issues/5293 | 5,293 | Support streaming datasets with pathlib.Path.with_suffix | {
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] | closed | false | [] | 2022-11-24T17:52:08Z | 2022-11-29T07:06:33Z | 2022-11-29T07:06:33Z | MEMBER | null | null | Extend support for streaming datasets that use `pathlib.Path.with_suffix`.
This feature will be useful e.g. for datasets containing text files and annotated files with the same name but different extension. | {
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https://github.com/huggingface/datasets/issues/5292 | 5,292 | Missing documentation build for versions 2.7.1 and 2.6.2 | {
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"- Build docs for 2.6.2:\r\n - Commit: a6a5a1cf4cdf1e0be65168aed5a327f543001fe8\r\n - Build docs GH Action: https://github.com/huggingface/datasets/actions/runs/3539470622/jobs/5941404044\r\n- Build docs for 2.7.1:\r\n - Commit: 5ef1ab1cc06c2b7a574bf2df454cd9fcb071ccb2\r\n - Build docs GH Action: https://github... | 2022-11-24T09:42:10Z | 2022-11-24T10:10:02Z | 2022-11-24T10:10:02Z | MEMBER | null | null | After the patch releases [2.7.1](https://github.com/huggingface/datasets/releases/tag/2.7.1) and [2.6.2](https://github.com/huggingface/datasets/releases/tag/2.6.2), the online docs were not properly built (the build_documentation workflow was not triggered).
There was a fix by:
- #5291
However, both documentati... | {
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https://github.com/huggingface/datasets/pull/5291 | 5,291 | [build doc] for v2.7.1 & v2.6.2 | {
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"doc versions are built https://huggingface.co/docs/datasets/index"
] | 2022-11-24T08:54:47Z | 2022-11-24T09:14:10Z | 2022-11-24T09:11:15Z | NONE | false | {
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} | Do NOT merge. Using this PR to build docs for [v2.7.1](https://github.com/huggingface/datasets/pull/5291/commits/f4914af20700f611b9331a9e3ba34743bbeff934) & [v2.6.2](https://github.com/huggingface/datasets/pull/5291/commits/025f85300a0874eeb90a20393c62f25ac0accaa0) | {
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https://github.com/huggingface/datasets/pull/5290 | 5,290 | fix error where reading breaks when batch missing an assigned column feature | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5290). All of your documentation changes will be reflected on that endpoint."
] | 2022-11-24T03:53:46Z | 2022-11-25T03:21:54Z | null | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/5289 | 5,289 | Added support for JXL images. | {
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"I'm fine with the addition of jxl in the list of known image extensions, this way users that have the plugin can work with their JXL datasets. WDYT @mariosasko ?",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5289). All of your documentation changes will be reflected on ... | 2022-11-23T23:16:33Z | 2022-11-29T18:49:46Z | null | NONE | false | {
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} | JPEG-XL is the most advanced of the next-generation of image codecs, supporting both lossless and lossy files — with better compression and quality than PNG and JPG respectively. It has reduced the disk sizes and bandwidth required for many of the datasets I use.
Pillow does not yet support JXL, but there's a plugi... | null | {
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https://github.com/huggingface/datasets/issues/5288 | 5,288 | Lossy json serialization - deserialization of dataset info | {
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"Hi ! JSON is a lossy format indeed. If you want to keep the feature types or other metadata I'd encourage you to store them as well. For example you can use `dataset.info.write_to_directory` and `DatasetInfo.from_directory` to store the feature types, split info, description, license etc."
] | 2022-11-23T17:20:15Z | 2022-11-25T12:53:51Z | null | NONE | null | null | ### Describe the bug
Saving a dataset to disk as json (using `to_json`) and then loading it again (using `load_dataset`) results in features whose labels are not type-cast correctly. In the code snippet below, `features.label` should have a label of type `ClassLabel` but has type `Value` instead.
### Steps to re... | null | {
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https://github.com/huggingface/datasets/pull/5287 | 5,287 | Fix methods using `IterableDataset.map` that lead to `features=None` | {
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"Maybe other options are:\r\n* Keep the `info.features` to `None` if those were initially `None`\r\n* Infer the features with pre-fetching just if the `... | 2022-11-23T15:33:25Z | 2022-11-28T15:43:14Z | 2022-11-28T12:53:22Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | As currently `IterableDataset.map` is setting the `info.features` to `None` every time as we don't know the output of the dataset in advance, `IterableDataset` methods such as `rename_column`, `rename_columns`, and `remove_columns`. that internally use `map` lead to the features being `None`.
This PR is related to #... | {
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https://github.com/huggingface/datasets/issues/5286 | 5,286 | FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/enwiki/20220301/dumpstatus.json | {
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"I found a solution \r\n\r\nIf you specifically install datasets==1.18 and then run\r\n\r\nimport datasets\r\nwiki = datasets.load_dataset('wikipedia', '20200501.en')\r\nthen this should work (it worked for me.)",
"I have the same problem here but installing datasets==1.18 wont work for me\r\n",
"This works wit... | 2022-11-23T14:54:15Z | 2024-11-23T01:16:41Z | 2022-11-25T11:33:14Z | NONE | null | null | ### Describe the bug
I follow the steps provided on the website [https://huggingface.co/datasets/wikipedia](https://huggingface.co/datasets/wikipedia)
$ pip install apache_beam mwparserfromhell
>>> from datasets import load_dataset
>>> load_dataset("wikipedia", "20220301.en")
however this results in the follo... | {
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https://github.com/huggingface/datasets/pull/5285 | 5,285 | Save file name in embed_storage | {
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"I updated the tests, met le know if it sounds good to you now :)"
] | 2022-11-23T10:55:54Z | 2022-11-24T14:11:41Z | 2022-11-24T14:08:37Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Having the file name is useful in case we need to check the extension of the file (e.g. mp3), or in general in case it includes some metadata information (track id, image id etc.)
Related to https://github.com/huggingface/datasets/issues/5276 | {
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https://github.com/huggingface/datasets/issues/5284 | 5,284 | Features of IterableDataset set to None by remove column | {
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"Related to https://github.com/huggingface/datasets/issues/5245",
"#self-assign",
"Thanks @lhoestq and @alvarobartt!\r\n\r\nThis would be extremely helpful to have working for the Whisper fine-tuning event - we're **only** training using streaming mode, so it'll be quite important to have this feature working t... | 2022-11-23T10:54:59Z | 2025-02-07T11:36:41Z | 2022-11-28T12:53:24Z | CONTRIBUTOR | null | null | ### Describe the bug
The `remove_column` method of the IterableDataset sets the dataset features to None.
### Steps to reproduce the bug
```python
from datasets import Audio, load_dataset
# load LS in streaming mode
dataset = load_dataset("librispeech_asr", "clean", split="validation", streaming=True)
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https://github.com/huggingface/datasets/pull/5283 | 5,283 | Release: 2.6.2 | {
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https://github.com/huggingface/datasets/pull/5282 | 5,282 | Release: 2.7.1 | {
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https://github.com/huggingface/datasets/issues/5281 | 5,281 | Support cloud storage in load_dataset | {
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"Or for example an archive on GitHub releases! Before I added support for JXL (locally only, PR still pending) I was considering hosting my files on GitHub instead...",
"+1 to this. I would like to use 'audiofolder' with a data_dir that's on S3, for example. I don't want to upload my dataset to the Hub, but I wo... | 2022-11-22T14:00:10Z | 2024-11-15T15:03:41Z | null | MEMBER | null | null | Would be nice to be able to do
```python
data_files=["s3://..."] # or gs:// or any cloud storage path
storage_options = {...}
load_dataset(..., data_files=data_files, storage_options=storage_options)
```
The idea would be to use `fsspec` as in `download_and_prepare` and `save_to_disk`.
This has been reque... | {
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https://github.com/huggingface/datasets/issues/5280 | 5,280 | Import error | {
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"Hi ! Can you \r\n```python\r\nimport platform\r\nprint(platform.python_version())\r\n```\r\nto see that it returns ?",
"Hi,\n\n3.8.13\n\nGet Outlook for Android<https://aka.ms/AAb9ysg>\n________________________________\nFrom: Quentin Lhoest ***@***.***>\nSent: Tuesday, November 22, 2022 2:37:02 PM\nTo: huggingfa... | 2022-11-22T12:56:43Z | 2022-12-15T19:57:40Z | 2022-12-15T19:57:40Z | NONE | null | null | https://github.com/huggingface/datasets/blob/cd3d8e637cfab62d352a3f4e5e60e96597b5f0e9/src/datasets/__init__.py#L28
Hy,
I have error at the above line. I have python version 3.8.13, the message says I need python>=3.7, which is True, but I think the if statement not working properly (or the message wrong) | {
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https://github.com/huggingface/datasets/pull/5279 | 5,279 | Warn about checksums | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I'm also in favor of disabling this by default - it's kinda impractical",
"Great, thanks for the quick turnaround on this!"
] | 2022-11-22T10:58:48Z | 2022-11-23T11:43:50Z | 2022-11-23T09:47:02Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | It takes a lot of time on big datasets to compute the checksums, we should at least add a warning to notify the user about this step. I also mentioned how to disable it, and added a tqdm bar (delay=5 seconds)
cc @ola13 | {
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https://github.com/huggingface/datasets/issues/5278 | 5,278 | load_dataset does not read jsonl metadata file properly | {
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"Can you try to remove \"drop_labels=false\" ? It may force the loader to infer the labels instead of reading the metadata",
"Hi, thanks for responding. I tried that, but it does not change anything.",
"Can you try updating `datasets` ? Metadata support was added in `datasets` 2.4",
"Probably the issue, will ... | 2022-11-22T10:24:46Z | 2023-02-14T14:48:16Z | 2022-11-23T11:38:35Z | NONE | null | null | ### Describe the bug
Hi, I'm following [this page](https://huggingface.co/docs/datasets/image_dataset) to create a dataset of images and captions via an image folder and a metadata.json file, but I can't seem to get the dataloader to recognize the "text" column. It just spits out "image" and "label" as features.
B... | {
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https://github.com/huggingface/datasets/pull/5277 | 5,277 | Remove YAML integer keys from class_label metadata | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Also note that this approach is valid when metadata keys are str, but also if they are int.\r\n- This will be helpful for any community dataset using old integer keys in their metadata",
"perfect !"
] | 2022-11-22T08:34:07Z | 2022-11-22T13:58:26Z | 2022-11-22T13:55:49Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/5276 | 5,276 | Bug in downloading common_voice data and snall chunk of it to one's own hub | {
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"Sounds like one of the file is not a valid one, can you make sure you uploaded valid mp3 files ?",
"Well I just sharded the original commonVoice dataset and pushed a small chunk of it in a private rep\n\nWhat did go wrong?\n\nHolen Sie sich Outlook für iOS<https://aka.ms/o0ukef>\n________________________________... | 2022-11-22T08:17:53Z | 2023-07-21T14:33:10Z | 2023-07-21T14:33:10Z | NONE | null | null | ### Describe the bug
I'm trying to load the common voice dataset. Currently there is no implementation to download just par tof the data, and I need just one part of it, without downloading the entire dataset
Help please?
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https://github.com/huggingface/datasets/issues/5275 | 5,275 | YAML integer keys are not preserved Hub server-side | {
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"@huggingface/datasets if you agree, I can make the bulk edit on the Hub to fix integer keys into strings.",
"Ok for me, and we can merge (internal) https://github.com/huggingface/moon-landing/pull/4609",
"FYI there are still 2k+ weekly users on `datasets` 2.6.1 which doesn't support the string label format for... | 2022-11-22T08:14:47Z | 2023-01-26T10:52:35Z | 2023-01-26T10:40:21Z | MEMBER | null | null | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
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https://github.com/huggingface/datasets/issues/5274 | 5,274 | load_dataset possibly broken for gated datasets? | {
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"@BradleyHsu",
"Btw, thanks very much for finding the hub rollback temporary fix and bringing the issue to our attention @KhoomeiK!",
"I see the same issue when calling `load_dataset('poloclub/diffusiondb', 'large_random_1k')` with `datasets==2.7.1` and `huggingface-hub=0.11.0`. No issue with `datasets=2.6.1` a... | 2022-11-21T21:59:53Z | 2023-05-27T00:06:14Z | 2022-11-28T02:50:42Z | CONTRIBUTOR | null | null | ### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_validators.py](https://localhost:8080/#) in validate_rep... | {
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https://github.com/huggingface/datasets/issues/5273 | 5,273 | download_mode="force_redownload" does not refresh cached dataset | {
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`load_datasets` does not refresh dataset when features are imported from external file, even with `download_mode="force_redownload"`. The bug is not limited to nested fields, however it is more likely to occur with nested fields.
### Steps to reproduce the bug
To reproduce the bug 3 files are ne... | null | {
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https://github.com/huggingface/datasets/issues/5272 | 5,272 | Use pyarrow Tensor dtype | {
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"Hi ! We're using the Arrow format for the datasets, and PyArrow tensors are not part of the Arrow format AFAIK:\r\n\r\n> There is no direct support in the arrow columnar format to store Tensors as column values.\r\n\r\nsource: https://github.com/apache/arrow/issues/4802#issuecomment-508494694",
"@wesm @rok its b... | 2022-11-20T15:18:41Z | 2024-11-11T03:03:17Z | null | NONE | null | null | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | null | {
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https://github.com/huggingface/datasets/pull/5271 | 5,271 | Fix #5269 | {
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"See <https://github.com/huggingface/datasets/issues/5269>"
] | 2022-11-20T07:50:49Z | 2022-11-21T15:07:19Z | 2022-11-21T15:06:38Z | NONE | false | {
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} | ```
$ datasets-cli convert --datasets_directory <TAB>
datasets_directory
benchmarks/ docs/ metrics/ notebooks/ src/ templates/ tests/ utils/
```
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https://github.com/huggingface/datasets/issues/5270 | 5,270 | When len(_URLS) > 16, download will hang | {
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"It can fix the bug temporarily.\r\n```python\r\nfrom datasets import DownloadConfig\r\nconfig = DownloadConfig(num_proc=8)\r\nIn [5]: dataset = load_dataset('Freed-Wu/kodak', split='test', download_config=config)\r\nDownloading and preparing dataset kodak/default to /home/wzy/.cache/huggingface/datasets/Freed-Wu__... | 2022-11-19T14:27:41Z | 2022-11-21T15:27:16Z | null | NONE | null | null | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | null | {
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https://github.com/huggingface/datasets/issues/5269 | 5,269 | Shell completions | {
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"I don't think we need completion on the datasets-cli, since we're mainly developing huggingface-cli",
"I see."
] | 2022-11-19T13:48:59Z | 2022-11-21T15:06:15Z | 2022-11-21T15:06:14Z | NONE | null | null | ### Feature request
Like <https://github.com/huggingface/huggingface_hub/issues/1197>, datasets-cli maybe need it, too.
### Motivation
See above.
### Your contribution
Maybe. | {
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https://github.com/huggingface/datasets/pull/5268 | 5,268 | Sharded save_to_disk + multiprocessing | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Added both num_shards and max_shard_size in push_to_hub/save_to_disk. Will take care of updating the tests later",
"It's ready for a final review @mariosasko and @albertvillanova, let me know what you think :)",
"Took your commen... | 2022-11-18T18:50:01Z | 2022-12-14T18:25:52Z | 2022-12-14T18:22:58Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Added `num_shards=` and `num_proc=` to `save_to_disk()`
EDIT: also added `max_shard_size=` to `save_to_disk()`, and also `num_shards=` to `push_to_hub`
I also:
- deprecated the fs parameter in favor of storage_options (for consistency with the rest of the lib) in save_to_disk and load_from_disk
- always embed t... | {
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https://github.com/huggingface/datasets/pull/5267 | 5,267 | Fix `max_shard_size` docs | {
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] | 2022-11-18T16:55:22Z | 2022-11-18T17:28:58Z | 2022-11-18T17:25:27Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/5266 | 5,266 | Specify arguments as keywords in librosa.reshape to avoid future errors | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-11-18T14:58:47Z | 2022-11-21T15:45:02Z | 2022-11-21T15:41:57Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes a warning and future deprecation from `librosa.reshape`:
```
FutureWarning: Pass orig_sr=16000, target_sr=48000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
``` | {
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https://github.com/huggingface/datasets/issues/5265 | 5,265 | Get an IterableDataset from a map-style Dataset | {
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"I think `stream` could be misleading since the data is not being streamed from remote endpoints (one could think that's the case when they see `load_dataset` followed by `stream`). Hence, I prefer the second option.\r\n\r\nPS: When we resolve https://github.com/huggingface/datasets/issues/4542, we could add `as_tf... | 2022-11-18T14:54:40Z | 2023-02-01T16:36:03Z | 2023-02-01T16:36:03Z | MEMBER | null | null | This is useful to leverage iterable datasets specific features like:
- fast approximate shuffling
- lazy map, filter etc.
Iterating over the resulting iterable dataset should be at least as fast at iterating over the map-style dataset.
Here are some ideas regarding the API:
```python
# 1.
# - consistency wi... | {
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https://github.com/huggingface/datasets/issues/5264 | 5,264 | `datasets` can't read a Parquet file in Python 3.9.13 | {
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"Could you share the full stack trace please ?\r\n\r\n\r\nCan you also try running this code ? It can be useful to determine if the issue comes from `datasets` or `fsspec` (streaming) or `pyarrow` (parquet reading):\r\n```python\r\nds = load_dataset(\"parquet\", data_files=a_parquet_file_url, use_auth_token=True)\r... | 2022-11-18T14:44:01Z | 2023-05-07T09:52:59Z | 2022-11-22T11:18:08Z | NONE | null | null | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | {
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https://github.com/huggingface/datasets/issues/5263 | 5,263 | Save a dataset in a determined number of shards | {
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] | closed | false | [] | 2022-11-18T14:43:54Z | 2022-12-14T18:22:59Z | 2022-12-14T18:22:59Z | MEMBER | null | null | This is useful to distribute the shards to training nodes.
This can be implemented in `save_to_disk` and can also leverage multiprocessing to speed up the process | {
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