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https://api.github.com/repos/huggingface/datasets/issues/7054
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https://github.com/huggingface/datasets/pull/7054
2418548995
PR_kwDODunzps514T1f
7054
Add batching to `IterableDataset`
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[ "Cool ! Thanks for diving into it :)\r\n\r\nYour implementation is great and indeed supports shuffling and batching, you just need to additionally account for state_dict (for dataset [checkpointing+resuming](https://huggingface.co/docs/datasets/main/en/use_with_pytorch#checkpoint-and-resume))\r\n\r\nThat being said...
2024-07-19T10:11:47
2024-07-19T15:10:51
NaT
NONE
nan
1.0
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I've taken a try at implementing a batched `IterableDataset` as requested in issue #6279. This PR adds a new `BatchedExamplesIterable` class and a `.batch()` method to the `IterableDataset` class. The main changes are: 1. A new `BatchedExamplesIterable` that groups examples into batches. 2. A `.batch()` method for...
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2416423791
I_kwDODunzps6QB7Nv
7053
Datasets.datafiles resolve_pattern `TypeError: can only concatenate tuple (not "str") to tuple`
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[ "Hi,\r\n\r\nThis issue was fixed in `datasets` 2.15.0:\r\n- #6105\r\n\r\nYou will need to update your `datasets`:\r\n```\r\npip install -U datasets\r\n```", "Duplicate of:\r\n- #6100" ]
2024-07-18T13:42:35
2024-07-18T15:17:42
2024-07-18 15:16:18+00:00
NONE
nan
nan
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### Describe the bug in data_files.py, line 332, `fs, _, _ = get_fs_token_paths(pattern, storage_options=storage_options)` If we run the code on AWS, as fs.protocol will be a tuple like: `('file', 'local')` So, `isinstance(fs.protocol, str) == False` and `protocol_prefix = fs.protocol + "://" if fs.protocol != ...
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2411682730
PR_kwDODunzps51iuop
7052
Adding `Music` feature for symbolic music modality (MIDI, abc)
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2024-07-16T17:26:04
2024-07-16T17:26:04
NaT
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⚠️ (WIP) ⚠️ ### What this PR does This PR adds a `Music` feature for the symbolic music modality, in particular [MIDI](https://en.wikipedia.org/wiki/Musical_Instrument_Digital_Interface) and [abc](https://en.wikipedia.org/wiki/ABC_notation) files. ### Motivations These two file formats are widely used in th...
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2409353929
I_kwDODunzps6Pm9LJ
7051
How to set_epoch with interleave_datasets?
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[ "This is not possible right now afaik :/\r\n\r\nMaybe we could have something like this ? wdyt ?\r\n\r\n```python\r\nds = interleave_datasets(\r\n [shuffled_dataset_a, dataset_b],\r\n probabilities=probabilities,\r\n stopping_strategy='all_exhausted',\r\n reshuffle_each_iteration=True,\r\n)", "That wo...
2024-07-15T18:24:52
2024-07-19T17:51:05
NaT
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Let's say I have dataset A which has 100k examples, and dataset B which has 100m examples. I want to train on an interleaved dataset of A+B, with stopping_strategy='all_exhausted' so dataset B doesn't repeat any examples. But every time A is exhausted I want it to be reshuffled (eg. calling set_epoch) Of course I...
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2409048733
PR_kwDODunzps51Z1Yp
7050
add checkpoint and resume title in docs
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7050). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>...
2024-07-15T15:38:04
2024-07-15T16:06:15
2024-07-15 15:59:56+00:00
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(minor) just to make it more prominent in the docs page for the soon-to-be-released new torchdata
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2408514366
I_kwDODunzps6PjwM-
7049
Save nparray as list
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[ "In addition, when I use `set_format ` and index the ds, the following error occurs:\r\nthe code\r\n```python\r\nds.set_format(type=\"np\", colums=\"pixel_values\")\r\n```\r\nerror\r\n<img width=\"918\" alt=\"image\" src=\"https://github.com/user-attachments/assets/b28bbff2-20ea-4d28-ab62-b4ed2d944996\">\r\n", ">...
2024-07-15T11:36:11
2024-07-18T11:33:34
2024-07-18 11:33:34+00:00
NONE
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### Describe the bug When I use the `map` function to convert images into features, datasets saves nparray as a list. Some people use the `set_format` function to convert the column back, but doesn't this lose precision? ### Steps to reproduce the bug the map function ```python def convert_image_to_features(inst, ...
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2408487547
I_kwDODunzps6Pjpp7
7048
ImportError: numpy.core.multiarray when using `filter`
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[ "Could you please check your `numpy` version?", "I got this issue while using numpy version 2.0. \r\n\r\nI solved it by switching back to numpy 1.26.0 :) ", "We recently added support for numpy 2.0, but it is not released yet.", "Ok I see, thanks! I think we can close this issue for now as switching back to v...
2024-07-15T11:21:04
2024-07-16T10:11:25
2024-07-16 10:11:25+00:00
NONE
nan
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### Describe the bug I can't apply the filter method on my dataset. ### Steps to reproduce the bug The following snippet generates a bug: ```python from datasets import load_dataset ami = load_dataset('kamilakesbi/ami', 'ihm') ami['train'].filter( lambda example: example["file_name"] == 'EN2001a' ...
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2406495084
I_kwDODunzps6PcDNs
7047
Save Dataset as Sharded Parquet
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[ "To anyone else who finds themselves in this predicament, it's possible to read the parquet file in the same way that datasets writes it, and then manually break it into pieces. Although, you need a couple of magic options (`thrift_*`) to deal with the huge metadata, otherwise pyarrow immediately crashes.\r\n```pyt...
2024-07-12T23:47:51
2024-07-17T12:07:08
NaT
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### Feature request `to_parquet` currently saves the dataset as one massive, monolithic parquet file, rather than as several small parquet files. It should shard large datasets automatically. ### Motivation This default behavior makes me very sad because a program I ran for 6 hours saved its results using `to_...
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2405485582
PR_kwDODunzps51N05n
7046
Support librosa and numpy 2.0 for Python 3.10
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7046). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>...
2024-07-12T12:42:47
2024-07-12T13:04:40
2024-07-12 12:58:17+00:00
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Support librosa and numpy 2.0 for Python 3.10 by installing soxr 0.4.0b1 pre-release: - https://github.com/dofuuz/python-soxr/releases/tag/v0.4.0b1 - https://github.com/dofuuz/python-soxr/issues/28
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2405447858
PR_kwDODunzps51Nsie
7045
Fix tensorflow min version depending on Python version
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7045). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>...
2024-07-12T12:20:23
2024-07-12T12:38:53
2024-07-12 12:33:00+00:00
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Fix tensorflow min version depending on Python version. Related to: - #6991
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PR_kwDODunzps51MLbh
7044
Mark tests that require librosa
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Mark tests that require `librosa`. Note that `librosa` is an optional dependency (installed with `audio` option) and we should be able to test environments without that library installed. This is the case if we want to test Numpy 2.0, which is currently incompatible with `librosa` due to its dependency on `soxr`: -...
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7043
Add decorator as explicit test dependency
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Add decorator as explicit test dependency. We use `decorator` library in our CI test since PR: - #4845 However we did not add it as an explicit test requirement, and we depended on it indirectly through other libraries' dependencies. I discovered this while testing Numpy 2.0 and removing incompatible librarie...
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PR_kwDODunzps51K8CM
7042
Improved the tutorial by adding a link for loading datasets
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2024-07-12T03:49:54
2024-07-12T03:49:54
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Improved the tutorial by letting readers know about loading datasets with common files and including a link. I left the local files section alone because the methods were already listed with code snippets.
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2404576038
I_kwDODunzps6PUusm
7041
`sort` after `filter` unreasonably slow
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2024-07-12T03:29:27
2024-07-12T03:29:27
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### Describe the bug as the tittle says ... ### Steps to reproduce the bug `sort` seems to be normal. ```python from datasets import Dataset import random nums = [{"k":random.choice(range(0,1000))} for _ in range(100000)] ds = Dataset.from_list(nums) print("start sort") ds = ds.sort("k") print("f...
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2402918335
I_kwDODunzps6POZ-_
7040
load `streaming=True` dataset with downloaded cache
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[ "When you pass `streaming=True`, the cache is ignored. The remote data URL is used instead and the data is streamed from the remote server.", "Thanks for your reply! So is there any solution to get my expected behavior besides clone the whole repo ? Or could I adjust my script to load the downloaded arrow files a...
2024-07-11T11:14:13
2024-07-11T14:11:56
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### Describe the bug We build a dataset which contains several hdf5 files and write a script using `h5py` to generate the dataset. The hdf5 files are large and the processed dataset cache takes more disk space. So we hope to try streaming iterable dataset. Unfortunately, `h5py` can't convert a remote URL into a hdf5 f...
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7039
Fix export to JSON when dataset larger than batch size
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2024-07-11T06:52:22
2024-07-11T07:27:58
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Fix export to JSON (`files=False`) when dataset larger than batch size. Fix #7037.
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7038
Yes, can definitely elaborate:
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[ "This is the `datasets` repository, and the issue should be opened in the `transformers` repo instead." ]
2024-07-11T02:22:30
2024-07-11T05:28:39
2024-07-11 05:28:39+00:00
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Yes, can definitely elaborate: Say I want to use HF Trainer with an arbitrary PyTorch optimizer (`AdamW` here just as an example). Then I should intuitively extend `Trainer` like: ```python class CustomOptimizerTrainer(Trainer): @staticmethod def get_optimizer_cls_and_kwargs(args: HfTrain...
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I_kwDODunzps6PEAej
7037
A bug of Dataset.to_json() function
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[ "Thanks for reporting, @LinglingGreat.\r\n\r\nI confirm this is a bug." ]
2024-07-10T09:11:22
2024-07-10T13:07:44
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### Describe the bug When using the Dataset.to_json() function, an unexpected error occurs if the parameter is set to lines=False. The stored data should be in the form of a list, but it actually turns into multiple lists, which causes an error when reading the data again. The reason is that to_json() writes to the f...
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7036
Fix doc generation when NamedSplit is used as parameter default value
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2024-07-10T07:58:46
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Fix doc generation when `NamedSplit` is used as parameter default value. Fix #7035.
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7035
Docs are not generated when a parameter defaults to a NamedSplit value
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2024-07-10T07:51:24
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While generating the docs, we get an error when some parameter defaults to a `NamedSplit` value, like: ```python def call_function(split=Split.TRAIN): ... ``` The error is: ValueError: Equality not supported between split train and <class 'inspect._empty'> See: https://github.com/huggingface/datasets/action...
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7034
chore: fix typos in docs
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2397419768
I_kwDODunzps6O5bj4
7033
`from_generator` does not allow to specify the split name
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[ "Thanks for reporting, @pminervini.\r\n\r\nI agree we should give the option to define the split name.\r\n\r\nIndeed, there is a PR that addresses precisely this issue:\r\n- #7015\r\n\r\nI am reviewing it." ]
2024-07-09T07:47:58
2024-07-09T08:05:23
NaT
CONTRIBUTOR
nan
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### Describe the bug I'm building train, dev, and test using `from_generator`; however, in all three cases, the logger prints `Generating train split:` It's not possible to change the split name since it seems to be hardcoded: https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/generator/g...
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2395531699
PR_kwDODunzps50sJTq
7032
Register `.zstd` extension for zstd-compressed files
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[ "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_7032). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.", "@albertvillanova hm I don't know tbh, it's just that \"mlfoundations/dclm-baseline-1.0\...
2024-07-08T12:39:50
2024-07-12T15:07:03
2024-07-12 15:07:03+00:00
CONTRIBUTOR
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For example, https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0 dataset files have `.zstd` extension which is currently ignored (only `.zst` is registered).
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I_kwDODunzps6Oxu3c
7031
CI quality is broken: use ruff check instead
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2024-07-08T11:42:24
2024-07-08T11:47:29
2024-07-08 11:47:29+00:00
MEMBER
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CI quality is broken: https://github.com/huggingface/datasets/actions/runs/9838873879/job/27159697027 ``` error: `ruff <path>` has been removed. Use `ruff check <path>` instead. ```
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2393411631
I_kwDODunzps6OqJAv
7030
Add option to disable progress bar when reading a dataset ("Loading dataset from disk")
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[ "You can disable progress bars for all of `datasets` with `disable_progress_bars`. [Link](https://huggingface.co/docs/datasets/en/package_reference/utilities#datasets.enable_progress_bars)\r\n\r\nSo you could do something like:\r\n\r\n```python\r\nfrom datasets import load_from_disk, enable_progress_bars, disable_p...
2024-07-06T05:43:37
2024-07-13T14:35:59
2024-07-13 14:35:59+00:00
NONE
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### Feature request Add an option in load_from_disk to disable the progress bar even if the number of files is larger than 16. ### Motivation I am reading a lot of datasets that it creates lots of logs. <img width="1432" alt="image" src="https://github.com/huggingface/datasets/assets/57996478/8d4bbf03-6b89-...
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2391366696
I_kwDODunzps6OiVwo
7029
load_dataset on AWS lambda throws OSError(30, 'Read-only file system') error
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[ "hi ! can you share the full stack trace ? this should help locate what files is not written in the cache_dir" ]
2024-07-04T19:15:16
2024-07-17T12:44:03
NaT
NONE
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### Describe the bug I'm using AWS lambda to run a python application. I run the `load_dataset` function with cache_dir="/tmp" and is still throws the OSError(30, 'Read-only file system') error. Is even updated all the HF envs to point to /tmp dir but the issue still persists. I can confirm that the I can write to /...
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2391077531
PR_kwDODunzps50dQ1w
7028
Fix ci
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2024-07-04T15:11:08
2024-07-04T15:26:35
2024-07-04 15:19:16+00:00
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...after last pr errors
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7027
Missing line from previous pr
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2024-07-04T14:34:29
2024-07-04T14:40:46
2024-07-04 14:34:36+00:00
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7026
Fix check_library_imports
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2024-07-04T14:18:38
2024-07-04T14:28:36
2024-07-04 14:20:02+00:00
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move it to after the `trust_remote_code` check Note that it only affects local datasets that already exist on disk, not datasets loaded from HF directly
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7025
feat: support non streamable arrow file binary format
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2024-07-04T10:11:12
2024-07-17T17:16:13
NaT
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Support Arrow files (`.arrow`) that are in non streamable binary file formats.
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