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https://github.com/huggingface/datasets/issues/6299 | 6,299 | Support for newer versions of JAX | {
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] | closed | false | [] | 2023-10-12T10:03:46Z | 2023-10-12T16:28:59Z | 2023-10-12T16:28:59Z | NONE | null | null | ### Feature request
Hi,
I like your idea of adapting the datasets library to be usable with JAX. Thank you for that.
However, in your [setup.py](https://github.com/huggingface/datasets/blob/main/setup.py), you enforce old versions of JAX <= 0.3... It is very cumbersome !
What is the rationale for such a lim... | {
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https://github.com/huggingface/datasets/pull/6298 | 6,298 | Doc readme improvements | {
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* adds two new sections (to be aligned with `transformers` and `hfh`): "Previewing the documentation" and "Writing documentation examples"
* replaces the mentions of `transformers` with `datasets`
* fixes some dead links | {
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https://github.com/huggingface/datasets/pull/6297 | 6,297 | Fix ArrayXD cast | {
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https://github.com/huggingface/datasets/pull/6296 | 6,296 | Move `exceptions.py` to `utils/exceptions.py` | {
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https://github.com/huggingface/datasets/pull/6295 | 6,295 | Fix parquet columns argument in streaming mode | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | It was failing when there's a DatasetInfo with non-None info.features from the YAML (therefore containing columns that should be ignored)
Fix https://github.com/huggingface/datasets/issues/6293 | {
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https://github.com/huggingface/datasets/issues/6294 | 6,294 | IndexError: Invalid key is out of bounds for size 0 despite having a populated dataset | {
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"It looks to be the same issue as the one reported in https://discuss.huggingface.co/t/indexerror-invalid-key-16-is-out-of-bounds-for-size-0.\r\n\r\nCan you check the length of `train_dataset` before the `train_sampler = self._get_train_sampler()` (and after `_remove_unused_columns`) line?"
] | 2023-10-11T09:59:38Z | 2023-10-17T11:24:06Z | 2023-10-17T11:24:06Z | NONE | null | null | ### Describe the bug
I am encountering an `IndexError` when trying to access data from a DataLoader which wraps around a dataset I've loaded using the `datasets` library. The error suggests that the dataset size is `0`, but when I check the length and print the dataset, it's clear that it has `1166` entries.
### Step... | {
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https://github.com/huggingface/datasets/issues/6293 | 6,293 | Choose columns to stream parquet data in streaming mode | {
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```
Tried to load parquet data with columns '['link']' with mismatching features '{'caption': Value(dtype='string', id=None), 'image': {'bytes': Value(dtype='binary', id=None), 'path': Value(dtype='null', id=None)}, 'link': Value(dtype='string', id=... | {
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https://github.com/huggingface/datasets/issues/6292 | 6,292 | how to load the image of dtype float32 or float64 | {
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"Hi! Can you provide a code that reproduces the issue?\r\n\r\nAlso, which version of `datasets` are you using? You can check this by running `python -c \"import datasets; print(datasets.__version__)\"` inside the env. We added support for \"float images\" in `datasets 2.9`."
] | 2023-10-11T07:27:16Z | 2023-10-11T13:19:11Z | null | NONE | null | null | _FEATURES = datasets.Features(
{
"image": datasets.Image(),
"text": datasets.Value("string"),
},
)
The datasets builder seems only support the unit8 data. How to load the float dtype data? | null | {
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https://github.com/huggingface/datasets/issues/6291 | 6,291 | Casting type from Array2D int to Array2D float crashes | {
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] | 2023-10-10T20:10:10Z | 2023-10-13T13:45:31Z | 2023-10-13T13:45:31Z | NONE | null | null | ### Describe the bug
I am on a school project and the initial type for feature annotations are `Array2D(shape=(None, 4))`. I am trying to cast this type to a `float64` and pyarrow gives me this error :
```
Traceback (most recent call last):
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https://github.com/huggingface/datasets/issues/6290 | 6,290 | Incremental dataset (e.g. `.push_to_hub(..., append=True)`) | {
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"Yea I think waiting for #6269 would be best, or branching from it. For reference, this [PR](https://github.com/LAION-AI/Discord-Scrapers/pull/2) is progressing pretty well which will do similar using the hf hub for our LAION dataset bot https://github.com/LAION-AI/Discord-Scrapers/pull/2. ",
"Is there any update... | 2023-10-10T15:18:03Z | 2025-08-13T12:55:28Z | null | CONTRIBUTOR | null | null | ### Feature request
Have the possibility to do `ds.push_to_hub(..., append=True)`.
### Motivation
Requested in this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/3#65252597c4edc168202a5eaa) and
this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/4#6524f675... | null | {
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https://github.com/huggingface/datasets/pull/6289 | 6,289 | testing doc-builder | {
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https://github.com/huggingface/datasets/issues/6288 | 6,288 | Dataset.from_pandas with a DataFrame of PIL.Images | {
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"A duplicate of https://github.com/huggingface/datasets/issues/4796.\r\n\r\nWe could get this for free by implementing the `Image` feature as an extension type, as shown in [this](https://colab.research.google.com/drive/1Uzm_tXVpGTwbzleDConWcNjacwO1yxE4?usp=sharing) Colab (example with UUIDs).\r\n",
"+1 to this\r... | 2023-10-10T10:29:16Z | 2024-11-29T16:35:30Z | null | MEMBER | null | null | Currently type inference doesn't know what to do with a Pandas Series of PIL.Image objects, though it would be nice to get a Dataset with the Image type this way | null | {
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https://github.com/huggingface/datasets/issues/6287 | 6,287 | map() not recognizing "text" | {
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"There is no \"text\" column in the `amazon_reviews_multi`, hence the `KeyError`. You can get the column names by running `dataset.column_names`."
] | 2023-10-09T10:27:30Z | 2023-10-11T20:28:45Z | 2023-10-11T20:28:45Z | NONE | null | null | ### Describe the bug
The [map() documentation](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/main_classes#datasets.Dataset.map) reads:
`
ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True)`
I have been trying to reproduce it in my code as:
`tokenizedData... | {
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https://github.com/huggingface/datasets/pull/6286 | 6,286 | Create DefunctDatasetError | {
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See Hub discussion: https://huggingface.co/datasets/the_pile_books3/discussions/7#6523c13a94f3a1a2092d251b | {
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https://github.com/huggingface/datasets/issues/6285 | 6,285 | TypeError: expected str, bytes or os.PathLike object, not dict | {
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"You should be able to load the images by modifying the `load_dataset` call like this:\r\n```python\r\ndataset = load_dataset(\"imagefolder\", data_dir=\"/content/datasets/PotholeDetectionYOLOv8-1\")\r\n```\r\n\r\nThe `imagefolder` builder expects the image files to be in `path/label/image_file` (e.g. .`.../train/d... | 2023-10-09T04:56:26Z | 2023-10-10T13:17:33Z | null | NONE | null | null | ### Describe the bug
my dataset is in form : train- image /n -labels
and tried the code:
```
from datasets import load_dataset
data_files = {
"train": "/content/datasets/PotholeDetectionYOLOv8-1/train/",
"validation": "/content/datasets/PotholeDetectionYOLOv8-1/valid/",
"test": "/content/dat... | null | {
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https://github.com/huggingface/datasets/issues/6284 | 6,284 | Add Belebele multiple-choice machine reading comprehension (MRC) dataset | {
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"This dataset is already available on the Hub: https://huggingface.co/datasets/facebook/belebele.\r\n"
] | 2023-10-06T06:58:03Z | 2023-10-06T13:26:51Z | 2023-10-06T13:26:51Z | NONE | null | null | ### Feature request
Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models in high-, medium-, and low-resource languages. Each question has four multiple-choice answers and is linked to a short pass... | {
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https://github.com/huggingface/datasets/pull/6283 | 6,283 | Fix array cast/embed with null values | {
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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... | 2023-10-05T15:24:05Z | 2024-07-04T07:24:20Z | 2024-02-06T19:24:19Z | COLLABORATOR | false | {
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Fix #6280, fix #6311, fix #6360
(Also fixes https://github.com/huggingface/datasets/issues/5430 to make Beam compatible with PyArrow>=... | {
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https://github.com/huggingface/datasets/pull/6282 | 6,282 | Drop data_files duplicates | {
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} | I just added drop_duplicates=True to `.from_patterns`. I used a dict to deduplicate and preserve the order
close https://github.com/huggingface/datasets/issues/6259
close https://github.com/huggingface/datasets/issues/6272
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https://github.com/huggingface/datasets/pull/6281 | 6,281 | Improve documentation of dataset.from_generator | {
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"I have looked at the doc failures, and I do not think that my change caused the doc build failure, but I'm not 100% sure about that.\r\nI have high confidence that the integration test failures are not something I introduced:-)",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<sum... | 2023-10-05T14:34:49Z | 2023-10-05T19:09:07Z | 2023-10-05T18:57:41Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/6280 | 6,280 | Couldn't cast array of type fixed_size_list to Sequence(Value(float64)) | {
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"Thanks for reporting! I've opened a PR with a fix.",
"Thanks for the quick response @mariosasko! I just installed your branch via `poetry add 'git+https://github.com/huggingface/datasets#fix-array_values'` and I can confirm it works on the example provided.\r\n\r\nFollow up question for you, should `None`s be s... | 2023-10-05T12:48:31Z | 2024-02-06T19:24:20Z | 2024-02-06T19:24:20Z | NONE | null | null | ### Describe the bug
I have a dataset with an embedding column, when I try to map that dataset I get the following exception:
```
Traceback (most recent call last):
File "/Users/jmif/.virtualenvs/llm-training/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3189, in map
for rank, done, content... | {
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https://github.com/huggingface/datasets/issues/6279 | 6,279 | Batched IterableDataset | {
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"This is exactly what I was looking for. It would also be very useful for me :-)",
"This issue is really smashing the selling point of HF datasets... The only workaround I've found so far is to create a customized IterableDataloader which improves the loading speed to some extent.\r\n\r\nFor example I've a HF dat... | 2023-10-05T11:12:49Z | 2024-11-07T10:01:22Z | null | NONE | null | null | ### Feature request
Hi,
could you add an implementation of a batched `IterableDataset`. It already support an option to do batch iteration via `.iter(batch_size=...)` but this cannot be used in combination with a torch `DataLoader` since it just returns an iterator.
### Motivation
The current implementation load... | null | {
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https://github.com/huggingface/datasets/pull/6278 | 6,278 | No data files duplicates | {
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} | I added a new DataFilesSet class to disallow duplicate data files.
I also deprecated DataFilesList.
EDIT: actually I might just add drop_duplicates=True to `.from_patterns`
close https://github.com/huggingface/datasets/issues/6259
close https://github.com/huggingface/datasets/issues/6272
TODO:
- [ ] tests
... | {
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https://github.com/huggingface/datasets/issues/6277 | 6,277 | FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub either. | {
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"`evaluate.load(\"paws-x\", \"es\")` throws the error because there is no such metric in the `evaluate` lib.\r\n\r\nSo, this is unrelated to our lib."
] | 2023-10-04T22:01:25Z | 2023-10-08T17:05:46Z | 2023-10-08T17:05:46Z | NONE | null | null | ### Describe the bug
I'm encountering a "FileNotFoundError" while attempting to use the "paws-x" dataset to retrain the DistilRoBERTa-base model. The error message is as follows:
FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub eit... | {
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https://github.com/huggingface/datasets/issues/6276 | 6,276 | I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error | {
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"Since you are using Windows, maybe moving the `map` call inside `if __name__ == \"__main__\"` can fix the issue:\r\n```python\r\nif __name__ == \"__main__\":\r\n common_voice = common_voice.map(prepare_dataset, remove_columns=common_voice.column_names[\"train\"], num_proc=4)\r\n```\r\n\r\nOtherwise, the only s... | 2023-10-04T11:03:41Z | 2023-11-27T10:39:16Z | null | NONE | null | null | ### Describe the bug
I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error, i'm following the steps in this blog post
https://huggingface.co/blog/fine-tune-whisper
I tried google collab and it works but because I'm on the free version the training ... | null | {
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https://github.com/huggingface/datasets/issues/6275 | 6,275 | Would like to Contribute a dataset | {
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"Hi! The process of contributing a dataset is explained here: https://huggingface.co/docs/datasets/upload_dataset. Also, check https://huggingface.co/docs/datasets/image_dataset for a more detailed explanation of how to share an image dataset."
] | 2023-10-02T07:00:21Z | 2023-10-10T16:27:54Z | 2023-10-10T16:27:54Z | NONE | null | null | I have a dataset of 2500 images that can be used for color-blind machine-learning algorithms. Since , there was no dataset available online , I made this dataset myself and would like to contribute this now to community | {
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https://github.com/huggingface/datasets/issues/6274 | 6,274 | FileNotFoundError for dataset with multiple builder config | {
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"Please tell me if the above info is not enough for solving the problem. I will then make my dataset public temporarily so that you can really reproduce the bug. ",
"Hi! \r\nCould you share how to solve this problem? \r\nI faced this same error. "
] | 2023-10-01T23:45:56Z | 2024-08-14T04:42:02Z | 2023-10-02T20:09:38Z | NONE | null | null | ### Describe the bug
When there is only one config and only the dataset name is entered when using datasets.load_dataset(), it works fine. But if I create a second builder_config for my dataset and enter the config name when using datasets.load_dataset(), the following error will happen.
FileNotFoundError: [Errno 2... | {
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https://github.com/huggingface/datasets/issues/6273 | 6,273 | Broken Link to PubMed Abstracts dataset . | {
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"This has already been reported in the HF Course repo (https://github.com/huggingface/course/issues/623).",
"@lhoestq @albertvillanova @lewtun I don't think we are allowed to host these data files on the Hub (due to DMCA), which means the only option is to use a different dataset in the course (and to re-record t... | 2023-10-01T19:08:48Z | 2024-04-28T02:30:42Z | null | NONE | null | null | ### Describe the bug
The link provided for the dataset is broken,
data_files =
[https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst](url)
The
### Steps to reproduce the bug
Steps to reproduce:
1) Head over to [https://huggingface.co/learn/nlp-course/chapt... | null | {
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https://github.com/huggingface/datasets/issues/6272 | 6,272 | Duplicate `data_files` when named `<split>/<split>.parquet` | {
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"Also reported in https://github.com/huggingface/datasets/issues/6259",
"I think it's best to drop duplicates with a `set` (as a temporary fix) and improve the patterns when/if https://github.com/fsspec/filesystem_spec/pull/1382 gets merged. @lhoestq Do you have some other ideas?",
"Alternatively we could just... | 2023-10-01T15:43:56Z | 2024-03-15T15:22:05Z | 2024-03-15T15:22:05Z | MEMBER | null | null | e.g. with `u23429/stock_1_minute_ticker`
```ipython
In [1]: from datasets import *
In [2]: b = load_dataset_builder("u23429/stock_1_minute_ticker")
Downloading readme: 100%|██████████████████████████| 627/627 [00:00<00:00, 246kB/s]
In [3]: b.config.data_files
Out[3]:
{NamedSplit('train'): ['hf://datasets/... | {
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https://github.com/huggingface/datasets/issues/6271 | 6,271 | Overwriting Split overwrites data but not metadata, corrupting dataset | {
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I want to be able to overwrite/update/delete splits in my dataset. Currently the only way to do is to manually go into the dataset and delete the split. If I try to overwrite programmatically I end up in an error state and (somewhat) corrupting the dataset. Read below.
**Current Behavior**
Whe... | {
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https://github.com/huggingface/datasets/issues/6270 | 6,270 | Dataset.from_generator raises with sharded gen_args | {
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"`gen_kwargs` should be a `dict`, as stated in the docstring, but you are passing a `list`.\r\n\r\nSo, to fix the error, replace the list of dicts with a dict of lists (and slightly modify the generator function):\r\n```python\r\nfrom pathlib import Path\r\nimport datasets\r\n\r\ndef process_yaml(files):\r\n for... | 2023-09-30T16:50:06Z | 2023-10-11T20:29:12Z | 2023-10-11T20:29:11Z | CONTRIBUTOR | null | null | ### Describe the bug
According to the docs of Datasets.from_generator:
```
gen_kwargs(`dict`, *optional*):
Keyword arguments to be passed to the `generator` callable.
You can define a sharded dataset by passing the list of shards in `gen_kwargs`.
```
So I'd expect that if gen_kwar... | {
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https://github.com/huggingface/datasets/pull/6269 | 6,269 | Reduce the number of commits in `push_to_hub` | {
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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... | 2023-09-29T16:22:31Z | 2023-10-16T16:03:18Z | 2023-10-16T13:30:46Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Reduces the number of commits in `push_to_hub` by using the `preupload` API from https://github.com/huggingface/huggingface_hub/pull/1699. Each commit contains a maximum of 50 uploaded files.
A shard's fingerprint no longer needs to be added as a suffix to support resuming an upload, meaning the shards' naming schem... | {
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https://github.com/huggingface/datasets/pull/6268 | 6,268 | Add repo_id to DatasetInfo | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6268). All of your documentation changes will be reflected on that endpoint.",
"In https://github.com/huggingface/datasets/issues/4129 we want to track the origin of a dataset, e.g. if it comes from multiple datasets.\r\n\r\nI ... | 2023-09-29T10:24:55Z | 2023-10-01T15:29:45Z | null | MEMBER | true | {
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} | ```python
from datasets import load_dataset
ds = load_dataset("lhoestq/demo1", split="train")
ds = ds.map(lambda x: {}, num_proc=2).filter(lambda x: True).remove_columns(["id"])
print(ds.repo_id)
# lhoestq/demo1
```
- repo_id is None when the dataset doesn't come from the Hub, e.g. from Dataset.from_dict
- ... | null | {
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https://github.com/huggingface/datasets/issues/6267 | 6,267 | Multi label class encoding | {
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"You can use a `Sequence(ClassLabel(...))` feature type to represent a list of labels, and `cast_column`/`cast` to perform the \"string to label\" conversion (`class_encode_column` does support nested fields), e.g., in your case:\r\n```python\r\nfrom datasets import Dataset, Sequence, ClassLabel\r\ndata = {\r\n ... | 2023-09-27T22:48:08Z | 2023-10-26T18:46:08Z | null | NONE | null | null | ### Feature request
I have a multi label dataset and I'd like to be able to class encode the column and store the mapping directly in the features just as I can with a single label column. `class_encode_column` currently does not support multi labels.
Here's an example of what I'd like to encode:
```
data = {
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https://github.com/huggingface/datasets/pull/6266 | 6,266 | Use LibYAML with PyYAML if available | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6266). All of your documentation changes will be reflected on that endpoint.",
"On Ubuntu, if `libyaml-dev` is installed, you can install PyYAML 6.0.1 with LibYAML with the following command (as it's automatically detected):\r\... | 2023-09-27T21:13:36Z | 2023-09-28T14:29:24Z | null | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/6265 | 6,265 | Remove `apache_beam` import in `BeamBasedBuilder._save_info` | {
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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... | 2023-09-27T13:56:34Z | 2023-09-28T18:34:02Z | 2023-09-28T18:23:35Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ... to avoid an `ImportError` raised in `BeamBasedBuilder._save_info` when `apache_beam` is not installed (e.g., when downloading the processed version of a dataset from the HF GCS)
Fix https://github.com/huggingface/datasets/issues/6260 | {
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https://github.com/huggingface/datasets/pull/6264 | 6,264 | Temporarily pin tensorflow < 2.14.0 | {
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Hot fix #6263. | {
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https://github.com/huggingface/datasets/issues/6263 | 6,263 | CI is broken: ImportError: cannot import name 'context' from 'tensorflow.python' | {
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] | closed | false | [] | 2023-09-27T08:12:05Z | 2023-09-27T08:36:40Z | 2023-09-27T08:36:40Z | MEMBER | null | null | Python 3.10 CI is broken for `test_py310`.
See: https://github.com/huggingface/datasets/actions/runs/6322990957/job/17169678812?pr=6262
```
FAILED tests/test_py_utils.py::TempSeedTest::test_tensorflow - ImportError: cannot import name 'context' from 'tensorflow.python' (/opt/hostedtoolcache/Python/3.10.13/x64/li... | {
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https://github.com/huggingface/datasets/pull/6262 | 6,262 | Fix CI 404 errors | {
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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... | 2023-09-27T07:40:18Z | 2023-09-28T15:39:16Z | 2023-09-28T15:30:40Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Currently our CI usually raises 404 errors when trying to delete temporary repositories. See, e.g.: https://github.com/huggingface/datasets/actions/runs/6314980985/job/17146507884
```
FAILED tests/test_upstream_hub.py::TestPushToHub::test_push_dataset_dict_to_hub_multiple_files_with_max_shard_size - huggingface_hub.u... | {
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https://github.com/huggingface/datasets/issues/6261 | 6,261 | Can't load a dataset | {
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"I believe is due to the fact that doesn't work with .tgz files.",
"`JourneyDB/JourneyDB` is a gated dataset, so this error means you are not authenticated to access it, either by using an invalid token or by not agreeing to the terms in the dialog on the dataset page.\r\n\r\n> I believe is due to the fact that d... | 2023-09-26T15:46:25Z | 2023-10-05T10:23:23Z | 2023-10-05T10:23:22Z | NONE | null | null | ### Describe the bug
Can't seem to load the JourneyDB dataset.
It throws the following error:
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[15], line 2
1 # If the dataset is gated/priv... | {
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https://github.com/huggingface/datasets/issues/6260 | 6,260 | REUSE_DATASET_IF_EXISTS don't work | {
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"Hi! Unfortunately, the current behavior is to delete the downloaded data when this error happens. So, I've opened a PR that removes the problematic import to avoid losing data due to `apache_beam` not being installed (we host the preprocessed version of `natual_questions` on the HF GCS, so requiring `apache_beam` ... | 2023-09-26T03:02:16Z | 2023-09-28T18:23:36Z | 2023-09-28T18:23:36Z | NONE | null | null | ### Describe the bug
I use the following code to download natural_question dataset. Even though I have completely download it, the next time I run this code, the new download procedure will start and cover the original /data/lxy/NQ
config=datasets.DownloadConfig(resume_download=True,max_retries=100,cache_dir=r'/da... | {
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https://github.com/huggingface/datasets/issues/6259 | 6,259 | Duplicated Rows When Loading Parquet Files from Root Directory with Subdirectories | {
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"Thanks for reporting this issue! We should be able to avoid this by making our `glob` patterns more precise. In the meantime, you can load the dataset by directly assigning splits to the data files: \r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset(\"parquet\", data_files={\"train\": \"testin... | 2023-09-25T17:20:54Z | 2024-03-15T15:22:04Z | 2024-03-15T15:22:04Z | NONE | null | null | ### Describe the bug
When parquet files are saved in "train" and "val" subdirectories under a root directory, and datasets are then loaded using `load_dataset("parquet", data_dir="root_directory")`, the resulting dataset has duplicated rows for both the training and validation sets.
### Steps to reproduce the bug... | {
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https://github.com/huggingface/datasets/pull/6258 | 6,258 | [DOCS] Fix typo: Elasticsearch | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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https://github.com/huggingface/datasets/issues/6257 | 6,257 | HfHubHTTPError - exceeded our hourly quotas for action: commit | {
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"how is your dataset structured? (file types, how many commits and files are you trying to push, etc)",
"I succeeded in uploading it after several attempts with an hour gap between each attempt (inconvenient but worked). The final dataset is [here](https://huggingface.co/datasets/yuvalkirstain/pickapic_v2), code ... | 2023-09-25T06:11:43Z | 2023-10-16T13:30:49Z | 2023-10-16T13:30:48Z | NONE | null | null | ### Describe the bug
I try to upload a very large dataset of images, and get the following error:
```
File /fsx-multigen/yuvalkirstain/miniconda/envs/pickapic/lib/python3.10/site-packages/huggingface_hub/hf_api.py:2712, in HfApi.create_commit(self, repo_id, operations, commit_message, commit_description, token, repo... | {
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https://github.com/huggingface/datasets/issues/6256 | 6,256 | load_dataset() function's cache_dir does not seems to work | {
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"Can you share the error message?\r\n\r\nAlso, it would help if you could check whether `huggingface_hub`'s download behaves the same:\r\n```python\r\nfrom huggingface_hub import snapshot_download\r\nsnapshot_download(\"trec\", repo_type=\"dataset\", cache_dir='/path/to/my/dir)\r\n```\r\n\r\nIn the next major relea... | 2023-09-24T15:34:06Z | 2025-05-14T10:08:53Z | 2024-10-08T15:45:18Z | NONE | null | null | ### Describe the bug
datasets version: 2.14.5
when trying to run the following command
trec = load_dataset('trec', split='train[:1000]', cache_dir='/path/to/my/dir')
I keep getting error saying the command does not have permission to the default cache directory on my macbook pro machine.
It seems the cache_... | {
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https://github.com/huggingface/datasets/pull/6255 | 6,255 | Parallelize builder configs creation | {
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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... | 2023-09-23T11:56:20Z | 2024-01-11T06:32:34Z | 2023-09-26T15:44:19Z | MEMBER | false | {
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E.g. `load_dataset("uonlp/CulturaX", "fr", revision="refs/pr/6")` from >1min to 15sec | {
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https://github.com/huggingface/datasets/issues/6254 | 6,254 | Dataset.from_generator() cost much more time in vscode debugging mode then running mode | {
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"Answered on the forum: https://discuss.huggingface.co/t/dataset-from-generator-cost-much-more-time-in-vscode-debugging-mode-then-running-mode/56005/2"
] | 2023-09-23T02:07:26Z | 2023-10-03T14:42:53Z | 2023-10-03T14:42:53Z | NONE | null | null | ### Describe the bug
Hey there,
I’m using Dataset.from_generator() to convert a torch_dataset to the Huggingface Dataset.
However, when I debug my code on vscode, I find that it runs really slow on Dataset.from_generator() which may even 20 times longer then run the script on terminal.
### Steps to reproduce the bu... | {
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https://github.com/huggingface/datasets/pull/6253 | 6,253 | Check builder cls default config name in inspect | {
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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 | rea... | 2023-09-21T10:15:32Z | 2023-09-21T14:16:44Z | 2023-09-21T14:08:00Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix https://github.com/huggingface/datasets-server/issues/1812
this was causing this issue:
```ipython
In [1]: from datasets import *
In [2]: inspect.get_dataset_config_names("aakanksha/udpos")
Out[2]: ['default']
In [3]: load_dataset_builder("aakanksha/udpos").config.name
Out[3]: 'en'
``` | {
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https://github.com/huggingface/datasets/issues/6252 | 6,252 | exif_transpose not done to Image (PIL problem) | {
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"Indeed, it makes sense to do this by default. \r\n\r\nIn the meantime, you can use `.with_transform` to transpose the images when accessing them:\r\n\r\n```python\r\nimport PIL.ImageOps\r\n\r\ndef exif_transpose_transform(batch):\r\n batch[\"image\"] = [PIL.ImageOps.exif_transpose(image) for image in batch[\"imag... | 2023-09-21T08:11:46Z | 2024-03-19T15:29:43Z | 2024-03-19T15:29:43Z | NONE | null | null | ### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for tasks as object detection and layoutLM this ca... | {
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https://github.com/huggingface/datasets/pull/6251 | 6,251 | Support streaming datasets with pyarrow.parquet.read_table | {
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See: https://huggingface.co/datasets/uonlp/CulturaX/discussions/2
CC: @AndreaFrancis | {
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https://github.com/huggingface/datasets/pull/6247 | 6,247 | Update create_dataset.mdx | {
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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 | rea... | 2023-09-18T17:06:29Z | 2023-09-19T18:51:49Z | 2023-09-19T18:40:10Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | modified , as AudioFolder and ImageFolder not in Dataset Library.
``` from datasets import AudioFolder ``` and ```from datasets import ImageFolder``` to ```from datasets import load_dataset```
```
cannot import name 'AudioFolder' from 'datasets' (/home/eswardivi/miniconda3/envs/Hugformers/lib/python3.10/site... | {
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https://github.com/huggingface/datasets/issues/6246 | 6,246 | Add new column to dataset | {
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"I think it's an issue with the code.\r\n\r\nSpecifically:\r\n```python\r\ndataset = dataset['train'].add_column(\"/workspace/data\", new_column)\r\n```\r\n\r\nNow `dataset` is the train set with a new column. \r\nTo fix this, you can do:\r\n\r\n```python\r\ndataset['train'] = dataset['train'].add_column(\"/workspa... | 2023-09-17T16:59:48Z | 2023-09-18T16:20:09Z | 2023-09-18T16:20:09Z | NONE | null | null | ### Describe the bug
```
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
[<ipython-input-9-bd197b36b6a0>](https://localhost:8080/#) in <cell line: 1>()
----> 1 dataset['train']['/workspace/data']
3 frames
[/... | {
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https://github.com/huggingface/datasets/pull/6244 | 6,244 | Add support for `fsspec>=2023.9.0` | {
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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... | 2023-09-15T17:58:25Z | 2023-09-26T15:41:38Z | 2023-09-26T15:32:51Z | COLLABORATOR | false | {
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https://github.com/huggingface/datasets/pull/6243 | 6,243 | Fix cast from fixed size list to variable size list | {
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https://github.com/huggingface/datasets/issues/6242 | 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... | 2023-09-14T16:12:45Z | 2023-09-19T17:53:18Z | 2023-09-19T17:53:18Z | MEMBER | null | 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
repo_id... | {
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https://github.com/huggingface/datasets/pull/6241 | 6,241 | Remove unused global variables in `audio.py` | {
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https://github.com/huggingface/datasets/issues/6240 | 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... | 2023-09-14T05:30:30Z | 2023-09-14T23:54:42Z | 2023-09-14T23:54:42Z | NONE | null | 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://github.com/huggingface/datasets/issues/6239 | 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... | 2023-09-13T22:30:01Z | 2023-09-15T14:32:10Z | 2023-09-15T14:32:10Z | NONE | null | 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://github.com/huggingface/datasets/issues/6238 | 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!"
] | 2023-09-13T20:20:37Z | 2023-09-17T07:05:07Z | 2023-09-17T07:05:07Z | NONE | null | 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://github.com/huggingface/datasets/issues/6237 | 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... | 2023-09-13T06:18:34Z | 2023-09-19T21:54:58Z | 2023-09-19T21:54:58Z | NONE | null | 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://github.com/huggingface/datasets/issues/6236 | 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... | 2023-09-13T03:19:44Z | 2023-09-18T01:11:21Z | null | NONE | null | 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... | null | {
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https://github.com/huggingface/datasets/issues/6235 | 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... | null | {
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https://github.com/huggingface/datasets/pull/6233 | 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... | 2023-09-12T06:53:06Z | 2023-09-13T18:20:50Z | 2023-09-13T18:10:04Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/6232 | 6,232 | Improve error message for missing function parameters | {
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"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... | 2023-09-11T19:11:58Z | 2023-09-15T18:07:56Z | 2023-09-15T17:59:02Z | CONTRIBUTOR | false | {
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This has been fixed. | {
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https://github.com/huggingface/datasets/pull/6231 | 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.",
"realized that this pr is still not merged, @lhoestq maybe you can take a look at it? ",
"I think https://github.com/huggingface/datasets/pull/621... | 2023-09-11T16:27:09Z | 2023-09-26T11:19:36Z | null | CONTRIBUTOR | false | {
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} | 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... | null | {
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https://github.com/huggingface/datasets/pull/6230 | 6,230 | Don't skip hidden files in `dl_manager.iter_files` when they are given as input | {
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https://github.com/huggingface/datasets/issues/6229 | 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_... | 2023-09-10T08:36:12Z | 2023-09-20T16:11:53Z | 2023-09-20T16:11:52Z | NONE | null | 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://github.com/huggingface/datasets/pull/6228 | 6,228 | Remove RGB -> BGR image conversion in Object Detection tutorial | {
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https://github.com/huggingface/datasets/pull/6226 | 6,226 | Add push_to_hub with multiple configs docs | {
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https://github.com/huggingface/datasets/issues/6225 | 6,225 | Conversion from RGB to BGR in Object Detection tutorial | {
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"Good catch!"
] | 2023-09-08T06:49:19Z | 2023-09-08T17:52:18Z | 2023-09-08T17:52:17Z | NONE | null | 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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https://github.com/huggingface/datasets/pull/6224 | 6,224 | Ignore `dataset_info.json` in data files resolution | {
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https://github.com/huggingface/datasets/pull/6223 | 6,223 | Update README.md | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | fixed a few typos | {
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https://github.com/huggingface/datasets/pull/6222 | 6,222 | fix typo in Audio dataset documentation | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | There is a typo in the section of the documentation dedicated to creating an audio dataset. The Dataset is incorrectly suffixed with a `Config`
https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia/blob/main/librivox-indonesia.py#L59 | {
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https://github.com/huggingface/datasets/issues/6221 | 6,221 | Support saving datasets with custom formatting | {
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"Not a fan of pickling this sort of stuff either.\r\nNote that users can also share the code in their dataset documentation."
] | 2023-09-06T16:03:32Z | 2023-09-06T18:32:07Z | null | COLLABORATOR | null | null | Requested in https://discuss.huggingface.co/t/using-set-transform-on-a-dataset-leads-to-an-exception/53036.
I am not sure if supporting this is the best idea for the following reasons:
>For this to work, we would have to pickle a custom transform, which means the transform and the objects it references need to be... | null | {
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https://github.com/huggingface/datasets/pull/6220 | 6,220 | Set dev version | {
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https://github.com/huggingface/datasets/pull/6219 | 6,219 | Release: 2.14.5 | {
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https://github.com/huggingface/datasets/pull/6218 | 6,218 | Rename old push_to_hub configs to "default" in dataset_infos | {
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```python
from datasets import load_dataset_builder
b = load_dataset_builder("lambdalabs/pokemon-blip-captions", "default")
print(b.info)
```
which should return
```
DatasetInfo(
features={'image': Image(decode=True, id=None), 'text': Value(dtype='string', id=None)},
dataset_name='pokemon-bli... | {
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https://github.com/huggingface/datasets/issues/6217 | 6,217 | `Dataset.to_dict()` ignore `decode=True` with Image feature | {
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"We need to implement the `Image` type as a PyArrow extension type (to allow us to override the Python conversion) for this to work as expected. For now, it's best to use your approach indeed."
] | 2023-09-06T09:26:16Z | 2023-09-08T17:08:52Z | null | MEMBER | null | null | ### Describe the bug
`Dataset.to_dict` seems to ignore the decoding instruction passed in features.
### Steps to reproduce the bug
```python
import datasets
import numpy as np
from PIL import Image
img = np.random.randint(0, 256, (5, 5, 3), dtype=np.uint8)
img = Image.fromarray(img)
features = datasets.Fea... | null | {
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https://github.com/huggingface/datasets/pull/6216 | 6,216 | Release: 2.13.2 | {
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https://github.com/huggingface/datasets/pull/6215 | 6,215 | Fix checking patterns to infer packaged builder | {
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https://github.com/huggingface/datasets/issues/6214 | 6,214 | Unpin fsspec < 2023.9.0 | {
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] | closed | false | [] | 2023-09-05T11:02:58Z | 2023-09-26T15:32:52Z | 2023-09-26T15:32:52Z | MEMBER | null | null | Once root issue is fixed, remove temporary pin of fsspec < 2023.9.0 introduced by:
- #6210
Related to issue:
- #6209
After investigation, I think the root issue is related to the new glob behavior with double asterisk `**` they have introduced in:
- https://github.com/fsspec/filesystem_spec/pull/1329 | {
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https://github.com/huggingface/datasets/pull/6213 | 6,213 | Better list array values handling in cast/embed storage | {
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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... | 2023-09-04T16:21:23Z | 2024-01-11T06:32:20Z | 2023-10-05T15:24:34Z | COLLABORATOR | true | {
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https://github.com/huggingface/datasets/issues/6212 | 6,212 | Tilde (~) is not supported for data_files | {
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"Hi @exs-avianello, is it really needed? Note you can alternatively use `pathlib.Path` among others as it follows:\r\n\r\n```python\r\nimport datasets\r\nfrom pathlib import Path\r\n\r\n# save a parquet file at ~/path/to/data.parquet\r\n\r\ndata_files = Path.home() / \"path/to/data.parquet\"\r\ndataset = datasets.l... | 2023-09-04T14:23:49Z | 2023-09-05T08:28:39Z | null | NONE | null | null | ### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing its absolute path instead)
I think that... | null | {
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https://github.com/huggingface/datasets/pull/6211 | 6,211 | Fix empty splitinfo json | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | If a split is empty, then the JSON split info should mention num_bytes = 0 and num_examples = 0.
Until now they were omited because the JSON dumps ignore the fields that are equal to the default values.
This is needed in datasets-server since we parse this information to the viewer | {
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https://github.com/huggingface/datasets/pull/6210 | 6,210 | Temporarily pin fsspec < 2023.9.0 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Temporarily pin fsspec < 2023.9.0 until permanent solution is found.
Hot fix #6209. | {
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https://github.com/huggingface/datasets/issues/6209 | 6,209 | CI is broken with AssertionError: 3 failed, 12 errors | {
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See: https://github.com/huggingface/datasets/actions/runs/6069947111/job/16465138041
```
=========================== short test summary info ============================
FAILED tests/test_load.py::ModuleFactoryTest::test_LocalDatasetModuleFactoryWithoutScript_with_data_dir - ... | {
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https://github.com/huggingface/datasets/pull/6208 | 6,208 | Do not filter out .zip extensions from no-script datasets | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR is a hotfix of:
- #6207
That PR introduced the filtering out of `.zip` extensions. This PR reverts that.
Hot fix #6207.
Maybe we should do patch releases: the bug was introduced in 2.13.1.
CC: @lhoestq | {
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https://github.com/huggingface/datasets/issues/6207 | 6,207 | No-script datasets with ZIP files do not load | {
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] | closed | false | [] | 2023-09-04T05:50:27Z | 2023-09-04T09:13:33Z | 2023-09-04T09:13:33Z | MEMBER | null | null | While investigating an issue on a Hub dataset, I have discovered the no-script datasets containing ZIP files do not load.
For example, that no-script dataset containing ZIP files, raises NonMatchingSplitsSizesError:
```python
In [2]: ds = load_dataset("sidovic/LearningQ-qg")
NonMatchingSplitsSizesError: [
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https://github.com/huggingface/datasets/issues/6206 | 6,206 | When calling load_dataset, raise error: pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays | {
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"I solved the problem by modifying the \"self DEFAULT_WRITER_BATCH_SIZE\" in \"class MyDataset (datasets. GeneratorBasedBuilder) : __init__\"",
"same problem, and this solution worked me also - you can set this var by setting the keyword argument `writer_batch_size=...` in `load_dataset(...,writer_batch_size=...)... | 2023-09-04T04:14:00Z | 2024-04-17T15:53:29Z | 2023-09-04T06:05:49Z | NONE | null | null | ### Describe the bug
When calling load_dataset, raise error
```
Traceback (most recent call last):
File "/home/aihao/miniconda3/envs/torch/lib/python3.11/site-packages/datasets/builder.py", line 1694, in _pre
pare_split_single ... | {
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https://github.com/huggingface/datasets/issues/6203 | 6,203 | Support loading from a DVC remote repository | {
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"(cross-posting from the linked DVC issue)\r\n\r\nI think this should already work out of the box with the current `datasets` and `dvc.api` releases by passing the correct `storage_options` into the datasets calls. `storage_options` is essentially just the kwargs dict that gets passed to the fsspec fs constructor.\... | 2023-09-01T14:04:52Z | 2023-09-15T15:11:27Z | 2023-09-15T15:11:27Z | NONE | null | null | ### Feature request
Adding support for loading a file from a DVC repository, tracked remotely on a SCM.
### Motivation
DVC is a popular version control system to version and manage datasets. The files are stored on a remote object storage platform, but they are tracked using Git. Integration with DVC is possible thr... | {
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https://github.com/huggingface/datasets/issues/6202 | 6,202 | avoid downgrading jax version | {
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"https://github.com/huggingface/datasets/blob/main/setup.py#L236\r\nCurrently has the highest version at 0.3.25; Not sure if there is any reason for this, other than that was the tested version?"
] | 2023-09-01T02:57:57Z | 2023-10-12T16:28:59Z | 2023-10-12T16:28:59Z | NONE | null | null | ### Feature request
Whenever I `pip install datasets[jax]` it downgrades jax to version 0.3.25. I seem to be able to install this library first then upgrade jax back to version 0.4.13.
### Motivation
It would be nice to not overwrite currently installed version of jax if possible.
### Your contribution
I... | {
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https://github.com/huggingface/datasets/pull/6201 | 6,201 | Fix to_json ValueError and remove pandas pin | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes the root cause of the issue:
- #6197
This PR also removes the temporary pin of `pandas` introduced by:
- #6200
Note that for orient in ['records', 'values'], index value is ignored but
- in `pandas` < 2.1.0, a ValueError is raised if not index and orient not in ['split', 'table']
- for orien... | {
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https://github.com/huggingface/datasets/pull/6200 | 6,200 | Temporarily pin pandas < 2.1.0 | {
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Hot fix #6197. | {
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https://github.com/huggingface/datasets/issues/6199 | 6,199 | Use load_dataset for local json files, but it not works | {
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"Hugging Face's datasets library may prioritize remote configurations. Make sure there are no conflicting configurations causing the library to prefer downloading data\r\nMay be try debugging\r\nraw_datasets = load_dataset('json', data_files=data_files)\r\nprint(raw_datasets)\r\n",
"It doesn't download them but ... | 2023-08-31T09:42:34Z | 2023-08-31T19:05:07Z | null | NONE | null | null | ### Describe the bug
when I use load_dataset to load my local datasets，it always goes to Hugging Face to download the data instead of loading the local dataset.
### Steps to reproduce the bug
`raw_datasets = load_dataset(
‘json’,
data_files=data_files)`
### Expected behavior
![image](https://gi... | null | {
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https://github.com/huggingface/datasets/pull/6198 | 6,198 | Preserve split order in DataFilesDict | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | After investigation, I have found that this copy forces the splits to be sorted alphabetically: https://github.com/huggingface/datasets/blob/029227a116c14720afca71b9b22e78eb2a1c09a6/src/datasets/builder.py#L556
This PR removes the alphabetically sort of `DataFilesDict` keys.
- Note that for a `dict`, the order of k... | {
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https://github.com/huggingface/datasets/issues/6197 | 6,197 | ValueError: 'index=True' is only valid when 'orient' is 'split', 'table', 'index', or 'columns' | {
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"Thanks for reporting. We are investigating it.",
"This issue is caused by latest `pandas` release 2.1.0 (released yesterday Aug 30).\r\n\r\nSee: https://github.com/huggingface/datasets/actions/runs/6035484010/job/16375932085?pr=6198\r\n",
"People using previous releases of `datasets` should pin `pandas` in the... | 2023-08-31T08:51:50Z | 2023-09-01T10:35:10Z | 2023-08-31T10:24:40Z | NONE | null | null | ### Describe the bug
Saving a dataset `.to_json()` fails with a `ValueError` since the latest `pandas` [release](https://pandas.pydata.org/docs/dev/whatsnew/v2.1.0.html) (`2.1.0`)
In their latest release we have:
> Improved error handling when using [DataFrame.to_json()](https://pandas.pydata.org/docs/dev/refere... | {
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https://github.com/huggingface/datasets/issues/6196 | 6,196 | Split order is not preserved | {
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] | closed | false | [] | 2023-08-31T08:47:16Z | 2023-08-31T13:48:43Z | 2023-08-31T13:48:43Z | MEMBER | null | null | I have noticed that in some cases the split order is not preserved.
For example, consider a no-script dataset with configs:
```yaml
configs:
- config_name: default
data_files:
- split: train
path: train.csv
- split: test
path: test.csv
```
- Note the defined split order is [train, test]
On... | {
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https://github.com/huggingface/datasets/issues/6195 | 6,195 | Force to reuse cache at given path | {
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"realized that need to pass the path at `cache_file_name` like\r\n\r\n```python\r\ntokenized_datasets = raw_datasets[\"train\"].map(\r\n tokenize_function,\r\n batched=True,\r\n num_proc=data_args.preprocessing_num_workers,\r\n remove_columns=[text_column_... | 2023-08-30T18:44:54Z | 2023-11-03T10:14:21Z | 2023-08-30T19:00:45Z | NONE | null | null | ### Describe the bug
I have run the official example of MLM like:
```bash
python run_mlm.py \
--model_name_or_path roberta-base \
--dataset_name togethercomputer/RedPajama-Data-1T \
--dataset_config_name arxiv \
--per_device_train_batch_size 10 \
--preprocessing_num_workers 20 ... | {
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https://github.com/huggingface/datasets/issues/6194 | 6,194 | Support custom fingerprinting with `Dataset.from_generator` | {
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"The `fingerprint` parameter serves a slightly different purpose - we use it to inject a new fingerprint after transforming a `Dataset` (computed from the previous fingerprint + transform + transform args), e.g., to be able to compute the cache file for a transform. There is no concept of `fingerprint` before a `Da... | 2023-08-29T22:43:13Z | 2024-12-22T01:14:39Z | null | NONE | null | null | ### Feature request
When using `Dataset.from_generator`, the generator is hashed when building the fingerprint. Similar to `.map`, it would be interesting to let the user bypass this hashing by accepting a `fingerprint` argument to `.from_generator`.
### Motivation
Using the `.from_generator` constructor with ... | null | {
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https://github.com/huggingface/datasets/issues/6193 | 6,193 | Dataset loading script method does not work with .pyc file | {
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"Before dynamically loading `.py` scripts with `importlib.import_module`, we also parse their contents to check imports, which is tricky to implement for binary `.pyc` files (requires parsing bytecode), so I don't think this is something we want to support (unless more users request it ofc) as this use case is a bi... | 2023-08-29T19:35:06Z | 2023-08-31T19:47:29Z | null | NONE | null | null | ### Describe the bug
The huggingface dataset library specifically looks for ‘.py’ file while loading the dataset using loading script approach and it does not work with ‘.pyc’ file.
While deploying in production, it becomes an issue when we are restricted to use only .pyc files. Is there any work around for this ?
#... | null | {
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https://github.com/huggingface/datasets/pull/6192 | 6,192 | Set minimal fsspec version requirement to 2023.1.0 | {
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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... | 2023-08-29T15:23:41Z | 2023-08-30T14:01:56Z | 2023-08-30T13:51:32Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix https://github.com/huggingface/datasets/issues/6141
Colab installs 2023.6.0, so we should be good 🙂
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