Dataset Viewer
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https://api.github.com/repos/huggingface/datasets/issues/5926
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1,743,922,028
I_kwDODunzps5n8iNs
5,926
Uncaught exception when generating the splits from a dataset that miss data
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2023-06-06T13:51:01
2023-06-06T13:51:01
null
CONTRIBUTOR
null
### Describe the bug Dataset https://huggingface.co/datasets/blog_authorship_corpus has an issue with its hosting platform, since https://drive.google.com/u/0/uc?id=1cGy4RNDV87ZHEXbiozABr9gsSrZpPaPz&export=download returns 404 error. But when trying to generate the split names, we get an exception which is now corr...
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https://github.com/huggingface/datasets/issues/5925
1,741,941,436
I_kwDODunzps5n0-q8
5,925
Breaking API change in datasets.list_datasets caused by change in HfApi.list_datasets
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2023-06-05T14:46:04
2023-06-05T14:46:04
null
NONE
null
### Describe the bug Hi all, after an update of the `datasets` library, we observer crashes in our code. We relied on `datasets.list_datasets` returning a `list`. Now, after the API of the HfApi.list_datasets was changed and it returns a `list` instead of an `Iterable`, the `datasets.list_datasets` now sometimes re...
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https://github.com/huggingface/datasets/pull/5924
1,738,889,236
PR_kwDODunzps5SCiFv
5,924
Add parallel module using joblib for Spark
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[ "Hi @lhoestq, I added the `parallel` part according to the discussion we had. Could you take a look to see if this is aligned with your proposal?\r\n\r\nMeanwhile I'm working on adding a `parallel_backend` parameter to `load_datasets` so that it can be used like:\r\n```python\r\nwith parallel_backend('spark', steps...
2023-06-02T22:25:25
2023-06-06T10:47:58
null
NONE
null
Discussion in https://github.com/huggingface/datasets/issues/5798
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https://api.github.com/repos/huggingface/datasets/issues/5923
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1,737,436,227
I_kwDODunzps5njyxD
5,923
Cannot import datasets - ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility
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[ "Based on https://github.com/rapidsai/cudf/issues/10187, this probably means your `pyarrow` installation is not compatible with `datasets`.\r\n\r\nCan you please execute the following commands in the terminal and paste the output here?\r\n```\r\nconda list | grep arrow\r\n``` \r\n```\r\npython -c \"import pyarrow; ...
2023-06-02T04:16:32
2023-06-05T15:33:20
null
NONE
null
### Describe the bug When trying to import datasets, I get a pyarrow ValueError: Traceback (most recent call last): File "/Users/edward/test/test.py", line 1, in <module> import datasets File "/Users/edward/opt/anaconda3/envs/cs235/lib/python3.9/site-packages/datasets/__init__.py", line 43, in <module>...
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1,736,898,953
I_kwDODunzps5nhvmJ
5,922
Length of table does not accurately reflect the split
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[ "As already replied by @lhoestq (private channel):\r\n> `.train_test_split` (as well as `.shard`, `.select`) doesn't create a new arrow table to save time and disk space. Instead, it uses an indices mapping on top of the table that locate which examples are part of train or test.", "This is an optimization that w...
2023-06-01T18:56:26
2023-06-02T16:13:31
2023-06-02T16:13:31
NONE
null
### Describe the bug I load a Huggingface Dataset and do `train_test_split`. I'm expecting the underlying table for the dataset to also be split, but it's not. ### Steps to reproduce the bug ![image](https://github.com/huggingface/datasets/assets/8068268/83e5768f-8b4c-422a-945c-832a7585afff) ### Expected behavior...
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1,736,563,023
PR_kwDODunzps5R6j-y
5,921
Fix streaming parquet with image feature in schema
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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...
2023-06-01T15:23:10
2023-06-02T10:02:54
2023-06-02T09:53:11
MEMBER
null
It was not reading the feature type from the parquet arrow schema
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https://api.github.com/repos/huggingface/datasets/issues/5920
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1,736,196,991
PR_kwDODunzps5R5TRB
5,920
Optimize IterableDataset.from_file using ArrowExamplesIterable
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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...
2023-06-01T12:14:36
2023-06-01T12:42:10
2023-06-01T12:35:14
MEMBER
null
following https://github.com/huggingface/datasets/pull/5893
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5,919
add support for storage_options for load_dataset API
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2023-06-01T05:52:32
2023-06-03T12:09:24
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to solve the issue in #5880 1. add s3 support in the link check step, previous we only check `http` and `https`, 2. change the parameter of `use_auth_token` to `download_config` to support both `storage_options` and `use_auth_token` parameter when trying to handle(list, open, read, etc,.) the remote files. 3...
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5,918
File not found for audio dataset
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2023-06-01T02:15:29
2023-06-01T02:15:29
null
NONE
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### Describe the bug After loading an audio dataset, and looking at a sample entry, the `path` element, which is supposed to be the path to the audio file, doesn't actually exist. ### Steps to reproduce the bug Run bug.py: ```py import os.path from datasets import load_dataset def run() -> None: cv1...
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5,917
Refactor extensions
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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...
2023-05-31T08:33:02
2023-05-31T13:34:35
2023-05-31T13:25:57
MEMBER
null
Related to: - #5850
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Unpin responses
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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...
2023-05-30T14:59:48
2023-05-30T18:03:10
2023-05-30T17:53:29
CONTRIBUTOR
null
Fix #5906
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1,732,389,984
PR_kwDODunzps5RsVzj
5,915
Raise error in `DatasetBuilder.as_dataset` when `file_format` is not `"arrow"`
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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...
2023-05-30T14:27:55
2023-05-31T13:31:21
2023-05-31T13:23:54
CONTRIBUTOR
null
Raise an error in `DatasetBuilder.as_dataset` when `file_format != "arrow"` (and fix the docstring) Fix #5874
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https://api.github.com/repos/huggingface/datasets/issues/5914
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1,731,483,996
I_kwDODunzps5nNFlc
5,914
array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible size in Datasets
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2023-05-30T04:25:00
2023-05-30T04:25:00
null
NONE
null
### Describe the bug When using the `filter` or `map` function to preprocess a dataset, a ValueError is encountered with the error message "array is too big; arr.size * arr.dtype.itemsize is larger than the maximum possible size." Detailed error message: Traceback (most recent call last): File "data_processing...
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https://api.github.com/repos/huggingface/datasets/issues/5913
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5,913
I tried to load a custom dataset using the following statement: dataset = load_dataset('json', data_files=data_files). The dataset contains 50 million text-image pairs, but an error occurred.
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[ "Thanks for reporting, @cjt222.\r\n\r\nWhat is the structure of your JSON files. Please note that it is normally simpler if the data file format is JSON-Lines instead. " ]
2023-05-30T02:55:26
2023-05-30T06:00:23
null
NONE
null
### Describe the bug File "/home/kas/.conda/envs/diffusers/lib/python3.7/site-packages/datasets/builder.py", line 1858, in _prepare_split_single Downloading and preparing dataset json/default to /home/kas/diffusers/examples/dreambooth/cache_data/datasets/json/default-acf423d8c6ef99d0/0.0.0/e347ab1c932092252e717ff3f94...
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https://api.github.com/repos/huggingface/datasets/issues/5912
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1,730,299,852
I_kwDODunzps5nIkfM
5,912
Missing elements in `map` a batched dataset
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[ "Hi ! in your code batching is **only used within** `map`, to process examples in batch. The dataset itself however is not batched and returns elements one by one.\r\n\r\nTo iterate on batches, you can do\r\n```python\r\nfor batch in dataset.iter(batch_size=8):\r\n ...\r\n```" ]
2023-05-29T08:09:19
2023-05-30T17:35:33
null
NONE
null
### Describe the bug As outlined [here](https://discuss.huggingface.co/t/length-error-using-map-with-datasets/40969/3?u=sachin), the following collate function drops 5 out of possible 6 elements in the batch (it is 6 because out of the eight, two are bad links in laion). A reproducible [kaggle kernel ](https://www.kag...
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1,728,909,790
I_kwDODunzps5nDRHe
5,910
Cannot use both set_format and set_transform
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2023-05-27T19:22:23
2023-05-27T19:24:10
null
NONE
null
### Describe the bug I need to process some data using the set_transform method but I also need the data to be formatted for pytorch before processing it. I don't see anywhere in the documentation something that says that both methods cannot be used at the same time. ### Steps to reproduce the bug ``` from...
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1,728,900,068
PR_kwDODunzps5Rgga6
5,909
Use more efficient and idiomatic way to construct list.
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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...
2023-05-27T18:54:47
2023-05-31T15:37:11
2023-05-31T13:28:29
CONTRIBUTOR
null
Using `*` is ~2X faster according to [benchmark](https://colab.research.google.com/gist/ttsugriy/c964a2604edf70c41911b10335729b6a/for-vs-mult.ipynb) with just 4 patterns. This doesn't matter much since this tiny difference is not going to be noticeable, but why not?
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