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https://api.github.com/repos/huggingface/datasets/issues/6188 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6188/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6188/comments | https://api.github.com/repos/huggingface/datasets/issues/6188/events | https://github.com/huggingface/datasets/issues/6188 | 1,870,987,640 | I_kwDODunzps5vhQF4 | 6,188 | [Feature Request] Check the length of batch before writing so that empty batch is allowed | {
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"I think this error means you filter all examples within an (input) batch by deleting its columns. In that case, to avoid the error, you can set the column value to an empty list (`input_batch[\"col\"] = []`) instead."
] | 2023-08-29 06:37:34 | 2023-09-19 21:55:38 | 2023-09-19 21:55:37 | null | NONE | [] | null | null | null | null | ### Use Case
I use `dataset.map(process_fn, batched=True)` to process the dataset, with data **augmentations or filtering**. However, when all examples within a batch is filtered out, i.e. **an empty batch is returned**, the following error will be thrown:
```
ValueError: Schema and number of arrays unequal
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/6187 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6187/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6187/comments | https://api.github.com/repos/huggingface/datasets/issues/6187/events | https://github.com/huggingface/datasets/issues/6187 | 1,870,936,143 | I_kwDODunzps5vhDhP | 6,187 | Couldn't find a dataset script at /content/tsv/tsv.py or any data file in the same directory | {
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"Hi! You can load this dataset with:\r\n```python\r\ndata_files = {\r\n \"train\": \"/content/PUBHEALTH/train.tsv\",\r\n \"validation\": \"/content/PUBHEALTH/dev.tsv\",\r\n \"test\": \"/content/PUBHEALTH/test.tsv\",\r\n}\r\n\r\ntsv_datasets_reloaded = load_dataset(\"csv\", data_files=data_files, sep=\"\\t\... | 2023-08-29 05:49:56 | 2023-08-29 16:21:45 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
[<ipython-input-48-6a7b3e847019>](https://localhost:8080/#) in <cell line: 7>()
5 }
6
----> 7 csv_datasets_reloaded = load_... | null | {
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"That'd be a great idea! @mariosasko or @lhoestq, would it be possible to fix the code snippet or do you have another suggested way for doing this?",
"Indeed `if __name__ == \"__main__\"` is important in this case.\r\n\r\nNot sure about the imbalanced GPU usage though, but maybe you can try using the `torch.cuda.... | 2023-08-28 10:00:59 | 2024-10-07 09:39:51 | 2023-11-22 15:42:20 | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6185/comments | https://api.github.com/repos/huggingface/datasets/issues/6185/events | https://github.com/huggingface/datasets/issues/6185 | 1,868,077,748 | I_kwDODunzps5vWJq0 | 6,185 | Error in saving the PIL image into *.arrow files using datasets.arrow_writer | {
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"You can cast the `input_image` column to the `Image` type to fix the issue:\r\n```python\r\nds.cast_column(\"input_image\", datasets.Image())\r\n```"
] | 2023-08-26 12:15:57 | 2023-08-29 14:49:58 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I am using the ArrowWriter from datasets.arrow_writer to save a json-style file as arrow files. Within the dictionary, it contains a feature called "image" which is a list of PIL.Image objects.
I am saving the json using the following script:
```
def save_to_arrow(path,temp):
with ArrowWri... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6184 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6184/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6184/comments | https://api.github.com/repos/huggingface/datasets/issues/6184/events | https://github.com/huggingface/datasets/issues/6184 | 1,867,766,143 | I_kwDODunzps5vU9l_ | 6,184 | Map cache does not detect function changes in another module | {
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"This issue is a duplicate of https://github.com/huggingface/datasets/issues/3297. This is a limitation of `dill`, a package we use for caching (non-`__main__` module objects are serialized by reference). You can find more info about it here: https://github.com/uqfoundation/dill/issues/424.\r\n\r\nIn your case, mo... | 2023-08-25 22:59:14 | 2023-08-29 20:57:07 | 2023-08-29 20:56:49 | null | NONE | [] | null | null | null | null | ```python
# dataset.py
import os
import datasets
if not os.path.exists('/tmp/test.json'):
with open('/tmp/test.json', 'w') as file:
file.write('[{"text": "hello"}]')
def transform(example):
text = example['text']
# text += ' world'
return {'text': text}
data = datasets.load_dataset('json', ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6183/comments | https://api.github.com/repos/huggingface/datasets/issues/6183/events | https://github.com/huggingface/datasets/issues/6183 | 1,867,743,276 | I_kwDODunzps5vU4As | 6,183 | Load dataset with non-existent file | {
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"Same problem",
"This was fixed in https://github.com/huggingface/datasets/pull/6155, which will be included in the next release (or you can install `datasets` from source to use it immediately)."
] | 2023-08-25 22:21:22 | 2023-08-29 13:26:22 | 2023-08-29 13:26:22 | null | NONE | [] | null | null | null | null | ### Describe the bug
When load a dataset from datasets and pass a wrong path to json with the data, error message does not contain something abount "wrong path" or "file do not exist" -
```SchemaInferenceError: Please pass `features` or at least one example when writing data```
### Steps to reproduce the bug
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6182 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6182/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6182/comments | https://api.github.com/repos/huggingface/datasets/issues/6182/events | https://github.com/huggingface/datasets/issues/6182 | 1,867,203,131 | I_kwDODunzps5vS0I7 | 6,182 | Loading Meteor metric in HF evaluate module crashes due to datasets import issue | {
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"Our minimal Python version requirement is 3.8, so we dropped `importlib_metadata`. \r\n\r\nFeel free to open a PR in the `evaluate` repo to replace the problematic import with\r\n```python\r\nif PY_VERSION < version.parse(\"3.8\"):\r\n import importlib_metadata\r\nelse:\r\n import importlib.metadata as impor... | 2023-08-25 14:54:06 | 2023-09-04 16:41:11 | 2023-08-31 14:38:23 | null | NONE | [] | null | null | null | null | ### Describe the bug
When using python3.9 and ```evaluate``` module loading Meteor metric crashes at a non-existent import from ```datasets.config``` in ```datasets v2.14```
### Steps to reproduce the bug
```
from evaluate import load
meteor = load("meteor")
```
produces the following error:
```
from d... | {
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"https://github.com/huggingface/datasets/issues/5147 may be a solution, by passing in the tokenizer in a fn_kwargs and ignoring it in the fingerprint calculations",
"I have a similar issue. I was using a Jupyter Notebook and every time I call the map function it performs tokenization from scratch again although t... | 2023-08-25 12:55:18 | 2023-08-31 15:17:24 | null | null | NONE | [] | null | null | null | null | Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | null | {
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"This seems to be related to your environment and not the `datasets` code (e.g., this could happen when exposing the Python 3.9 site packages to a lower Python version (interpreter))"
] | 2023-08-25 08:35:14 | 2023-09-27 17:33:39 | 2023-09-27 17:33:39 | null | NONE | [] | null | null | null | null | ### Describe the bug
Hi,
I have been trying to import the datasets library but I keep gtting this error.
`Traceback (most recent call last):
File /opt/local/jupyterhub/lib64/python3.9/site-packages/IPython/core/interactiveshell.py:3508 in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
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https://api.github.com/repos/huggingface/datasets/issues/6176 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6176/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6176/comments | https://api.github.com/repos/huggingface/datasets/issues/6176/events | https://github.com/huggingface/datasets/issues/6176 | 1,864,436,408 | I_kwDODunzps5vIQq4 | 6,176 | how to limit the size of memory mapped file? | {
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"Hi! Can you share the error this reproducer throws in your environment? `streaming=True` streams the dataset as it's iterated over without creating a memory-map file.",
"The trace of the error. Streaming works but is slower.\r\n```\r\nRoot Cause (first observed failure):\r\n[0]:\r\n time : 2023-08-24_06:06... | 2023-08-24 05:33:45 | 2023-10-11 06:00:10 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6173 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6173/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6173/comments | https://api.github.com/repos/huggingface/datasets/issues/6173/events | https://github.com/huggingface/datasets/issues/6173 | 1,863,422,065 | I_kwDODunzps5vEZBx | 6,173 | Fix CI for pyarrow 13.0.0 | {
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```
FAILED tests/test_formatting.py::ArrowExtractorTest::test_pandas_extractor - AssertionError: Attributes of Series are different
Attribute "dtype" are different
[left]: datetime64[us, UTC]
[right]: datetime64[ns, UTC]
```
```
FAILED tests/test_table.py::test_cast_sliced_fi... | {
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https://api.github.com/repos/huggingface/datasets/issues/6172 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6172/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6172/comments | https://api.github.com/repos/huggingface/datasets/issues/6172/events | https://github.com/huggingface/datasets/issues/6172 | 1,863,318,027 | I_kwDODunzps5vD_oL | 6,172 | Make Dataset streaming queries retryable | {
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"Hi! The streaming mode also retries requests - `datasets.config.STREAMING_READ_MAX_RETRIES` (20 sec by default) controls the number of retries and `datasets.config.STREAMING_READ_RETRY_INTERVAL` (5 sec) the sleep time between retries.\r\n\r\n> At step 1800 I got a 504 HTTP status code error from Huggingface hub fo... | 2023-08-23 13:15:38 | 2023-11-06 13:54:16 | null | null | NONE | [] | null | null | null | null | ### Feature request
Streaming datasets, as intended, do not load the entire dataset in memory or disk. However, while querying the next data chunk from the remote, sometimes it is possible that the service is down or there might be other issues that may cause the query to fail. In such a scenario, it would be nice to ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6169 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6169/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6169/comments | https://api.github.com/repos/huggingface/datasets/issues/6169/events | https://github.com/huggingface/datasets/issues/6169 | 1,862,360,199 | I_kwDODunzps5vAVyH | 6,169 | Configurations in yaml not working | {
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"Unfortunately, I cannot reproduce this behavior on my machine or Colab - the reproducer returns `['main_data', 'additional_data']` as expected.",
"Thank you for looking into this, Mario. Is this on [my repository](https://huggingface.co/datasets/tsor13/test), or on another one that you have reproduced? Would you... | 2023-08-23 00:13:22 | 2023-08-23 15:35:31 | null | null | NONE | [] | null | null | null | null | ### Dataset configurations cannot be created in YAML/README
Hello! I'm trying to follow the docs here in order to create structure in my dataset as added from here (#5331): https://github.com/huggingface/datasets/blob/8b8e6ee067eb74e7965ca2a6768f15f9398cb7c8/docs/source/repository_structure.mdx#L110-L118
I have t... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6163 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6163/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6163/comments | https://api.github.com/repos/huggingface/datasets/issues/6163/events | https://github.com/huggingface/datasets/issues/6163 | 1,857,682,241 | I_kwDODunzps5uuftB | 6,163 | Error type: ArrowInvalid Details: Failed to parse string: '[254,254]' as a scalar of type int32 | {
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"Answered on the forum [here](https://discuss.huggingface.co/t/error-type-arrowinvalid-details-failed-to-parse-string-254-254-as-a-scalar-of-type-int32/51323).",
"it seems that no answer in this link"
] | 2023-08-19 11:34:40 | 2025-07-22 12:04:46 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I am getting the following error while I am trying to upload the CSV sheet to train a model. My CSV sheet content is exactly same as shown in the example CSV file in the Auto Train page. Attaching screenshot of error for reference. I have also tried converting the index of the answer that are inte... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6162 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6162/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6162/comments | https://api.github.com/repos/huggingface/datasets/issues/6162/events | https://github.com/huggingface/datasets/issues/6162 | 1,856,198,342 | I_kwDODunzps5uo1bG | 6,162 | load_dataset('json',...) from togethercomputer/RedPajama-Data-1T errors when jsonl rows contains different data fields | {
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"Hi ! Feel free to open a discussion at https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T/discussions to ask the file to be fixed (or directly open a PR with the fixed file)\r\n\r\n`datasets` expects all the examples to have the same fields",
"@lhoestq I think the problem is caused by the fact th... | 2023-08-18 07:19:39 | 2023-08-18 17:00:35 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
When loading some jsonl from redpajama-data-1T github source [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) fails due to one row of the file containing an extra field called **symlink_target: string>**.
When deleting that line the loading... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6159 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6159/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6159/comments | https://api.github.com/repos/huggingface/datasets/issues/6159/events | https://github.com/huggingface/datasets/issues/6159 | 1,855,691,512 | I_kwDODunzps5um5r4 | 6,159 | Add `BoundingBox` feature | {
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"My proposal would look like this:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\nfrom datasets.features import Sequence, BboxFeature\r\n\r\n# load images along with boxes\r\ndataset = load_dataset(\"imagefolder\", data_dir=\"/path/to/folder\", split=\"train\")\r\n\r\n# map the boxes column to the appropr... | 2023-08-17 20:49:51 | 2024-11-18 17:58:43 | null | null | COLLABORATOR | [] | null | null | null | null | ... to make working with object detection datasets easier. Currently, `Sequence(int_or_float, length=4)` can be used to represent this feature optimally (in the storage backend), so I only see this feature being useful if we make it work with the viewer. Also, bounding boxes usually come in 4 different formats (explain... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6157 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6157/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6157/comments | https://api.github.com/repos/huggingface/datasets/issues/6157/events | https://github.com/huggingface/datasets/issues/6157 | 1,855,265,663 | I_kwDODunzps5ulRt_ | 6,157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | {
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"Thanks for reporting, but we can only fix this issue if you can provide a reproducer that consistently reproduces it.",
"@mariosasko Ok. What exactly does it mean to provide a reproducer",
"To provide a code that reproduces the issue :)",
"@mariosasko I complete the above code, is it enough?",
"@mariosasko... | 2023-08-17 15:48:11 | 2023-09-27 17:36:14 | 2023-09-27 17:36:14 | null | NONE | [] | null | null | null | null | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | {
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https://api.github.com/repos/huggingface/datasets/issues/6156 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6156/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6156/comments | https://api.github.com/repos/huggingface/datasets/issues/6156/events | https://github.com/huggingface/datasets/issues/6156 | 1,854,768,618 | I_kwDODunzps5ujYXq | 6,156 | Why not use self._epoch as seed to shuffle in distributed training with IterableDataset | {
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"@lhoestq ",
"`_effective_generator` returns a RNG that takes into account `self._epoch` and the current dataset's base shuffling RNG (which can be set by specifying `seed=` in `.shuffle() for example`).\r\n\r\nTo fix your error you can pass `seed=` to `.shuffle()`. And the shuffling will depend on both this seed... | 2023-08-17 10:58:20 | 2023-08-17 14:33:15 | 2023-08-17 14:33:14 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
Currently, distributed training with `IterableDataset` needs to pass fixed seed to shuffle to keep each node use the same seed to avoid overlapping.
https://github.com/huggingface/datasets/blob/a7f8d9019e7cb104eac4106bdc6ec0292f0dc61a/src/datasets/iterable_dataset.py#L1174-L1177
My question ... | {
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"@lhoestq ",
"Makes sense, I guess this can be fixed in the load_dataset_builder method.\r\nIt concerns every packaged builder I think (see values in `_PACKAGED_DATASETS_MODULES`)",
"I think the behavior is related to these lines, which short circuited the error handling.\r\nhttps://github.com/huggingface/datas... | 2023-08-16 04:38:09 | 2025-06-18 14:18:42 | 2025-06-18 14:18:42 | {
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"followers_url": "https://api.github.com/users/... | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
FolderBase Dataset automatically resolves under current directory when data_dir is not specified.
For example:
```
load_dataset("audiofolder")
```
takes long time to resolve and collect data_files from current directory. But I think it should reach out to this line for error handling https:... | {
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https://api.github.com/repos/huggingface/datasets/issues/6151 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6151/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6151/comments | https://api.github.com/repos/huggingface/datasets/issues/6151/events | https://github.com/huggingface/datasets/issues/6151 | 1,851,497,818 | I_kwDODunzps5uW51a | 6,151 | Faster sorting for single key items | {
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"`Dataset.sort` essentially does the same thing except it uses `pyarrow.compute.sort_indices` which doesn't involve copying the data into python objects (saving memory)\r\n\r\n```python\r\nsort_keys = [(col, \"ascending\") for col in column_names]\r\nindices = pc.sort_indices(self.data, sort_keys=sort_keys)\r\nretu... | 2023-08-15 14:02:31 | 2023-08-21 14:38:26 | 2023-08-21 14:38:25 | null | NONE | [] | null | null | null | null | ### Feature request
A faster way to sort a dataset which contains a large number of rows.
### Motivation
The current sorting implementations took significantly longer than expected when I was running on a dataset trying to sort by timestamps.
**Code snippet:**
```python
ds = datasets.load_dataset( "json"... | {
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https://api.github.com/repos/huggingface/datasets/issues/6150 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6150/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6150/comments | https://api.github.com/repos/huggingface/datasets/issues/6150/events | https://github.com/huggingface/datasets/issues/6150 | 1,850,740,456 | I_kwDODunzps5uUA7o | 6,150 | Allow dataset implement .take | {
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"```\r\n dataset = IterableDataset(dataset) if type(dataset) != IterableDataset else dataset # to force dataset.take(batch_size) to work in non-streaming mode\r\n ```\r\n",
"hf discuss: https://discuss.huggingface.co/t/how-does-one-make-dataset-take-512-work-with-streaming-false-with-hugging-face-data-set/5... | 2023-08-15 00:17:51 | 2023-08-17 13:49:37 | null | null | NONE | [] | null | null | null | null | ### Feature request
I want to do:
```
dataset.take(512)
```
but it only works with streaming = True
### Motivation
uniform interface to data sets. Really surprising the above only works with streaming = True.
### Your contribution
Should be trivial to copy paste the IterableDataset .take to use the local pa... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6149 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6149/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6149/comments | https://api.github.com/repos/huggingface/datasets/issues/6149/events | https://github.com/huggingface/datasets/issues/6149 | 1,850,700,624 | I_kwDODunzps5uT3NQ | 6,149 | Dataset.from_parquet cannot load subset of columns | {
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"Looks like this regression was introduced in `datasets==2.13.0` (`2.12.0` could load a subset of columns)\r\n\r\nThis does not appear to be fixed by https://github.com/huggingface/datasets/pull/6045 (bug still exists on `main`)"
] | 2023-08-14 23:28:22 | 2023-08-17 22:36:05 | 2023-08-17 22:36:05 | {
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"followers_url": "https://api.github.com/use... | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
When using `Dataset.from_parquet(path_or_paths, columns=[...])` and a subset of columns, loading fails with a variant of the following
```
ValueError: Couldn't cast
a: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 273
to
{'a': V... | {
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https://api.github.com/repos/huggingface/datasets/issues/6147 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6147/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6147/comments | https://api.github.com/repos/huggingface/datasets/issues/6147/events | https://github.com/huggingface/datasets/issues/6147 | 1,848,914,830 | I_kwDODunzps5uNDOO | 6,147 | ValueError when running BeamBasedBuilder with GCS path in cache_dir | {
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"The cause of the error seems to be that `datasets` adds \"gcs://\" as a schema, while `beam` checks only \"gs://\".\r\n\r\ndatasets: https://github.com/huggingface/datasets/blob/c02a44715c036b5261686669727394b1308a3a4b/src/datasets/builder.py#L822\r\n\r\nbeam: [link](https://github.com/apache/beam/blob/25e1a64641b... | 2023-08-14 03:11:34 | 2024-03-18 16:59:15 | 2024-03-18 16:59:14 | null | NONE | [] | null | null | null | null | ### Describe the bug
When running the BeamBasedBuilder with a GCS path specified in the cache_dir, the following ValueError occurs:
```
ValueError: Unable to get filesystem from specified path, please use the correct path or ensure the required dependency is installed, e.g., pip install apache-beam[gcp]. Path spec... | {
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https://api.github.com/repos/huggingface/datasets/issues/6146 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6146/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6146/comments | https://api.github.com/repos/huggingface/datasets/issues/6146/events | https://github.com/huggingface/datasets/issues/6146 | 1,848,417,366 | I_kwDODunzps5uLJxW | 6,146 | DatasetGenerationError when load glue benchmark datasets from `load_dataset` | {
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"I've tried clear the .cache file, doesn't work.",
"This issue happens on AWS sagemaker",
"This issue can happen if there is a directory named \"glue\" relative to the Python script with the `load_dataset` call (similar issue to this one: https://github.com/huggingface/datasets/issues/5228). Is this the case?",... | 2023-08-13 05:17:56 | 2023-08-26 22:09:09 | 2023-08-26 22:09:09 | null | NONE | [] | null | null | null | null | ### Describe the bug
Package version: datasets-2.14.4
When I run the codes:
```
from datasets import load_dataset
dataset = load_dataset("glue", "ax")
```
I got the following errors:
---------------------------------------------------------------------------
SchemaInferenceError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6153 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6153/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6153/comments | https://api.github.com/repos/huggingface/datasets/issues/6153/events | https://github.com/huggingface/datasets/issues/6153 | 1,852,630,074 | I_kwDODunzps5ubOQ6 | 6,153 | custom load dataset to hub | {
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"This is an issue for the [Datasets repo](https://github.com/huggingface/datasets).",
"> This is an issue for the [Datasets repo](https://github.com/huggingface/datasets).\r\n\r\nThanks @sgugger , I guess I will wait for them to address the issue . Looking forward to hearing from them ",
"You can use `.push_to_... | 2023-08-13 04:42:22 | 2023-11-21 11:50:28 | 2023-10-08 17:04:16 | null | NONE | [] | null | null | null | null | ### System Info
kaggle notebook
i transformed dataset:
```
dataset = load_dataset("Dahoas/first-instruct-human-assistant-prompt")
```
to
formatted_dataset:
```
Dataset({
features: ['message_tree_id', 'message_tree_text'],
num_rows: 33143
})
```
but would like to know how to upload to hub
### ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6144 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6144/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6144/comments | https://api.github.com/repos/huggingface/datasets/issues/6144/events | https://github.com/huggingface/datasets/issues/6144 | 1,847,296,711 | I_kwDODunzps5uG4LH | 6,144 | NIH exporter file not found | {
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"related: https://github.com/huggingface/datasets/issues/3504",
"another file not found:\r\n```\r\nTraceback (most recent call last):\r\n File \"/lfs/ampere1/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/fsspec/implementations/http.py\", line 417, in _info\r\n await _file_info(\r\n File ... | 2023-08-11 19:05:25 | 2023-08-14 23:28:38 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
can't use or download the nih exporter pile data.
```
15 experiment_compute_diveristy_coeff_single_dataset_then_combined_datasets_with_domain_weights()
16 File "/lfs/ampere1/0/brando9/beyond-scale-language-data-diversity/src/diversity/div_coeff.py", line 474, in experiment_compute_diveri... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6142 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6142/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6142/comments | https://api.github.com/repos/huggingface/datasets/issues/6142/events | https://github.com/huggingface/datasets/issues/6142 | 1,846,205,216 | I_kwDODunzps5uCtsg | 6,142 | the-stack-dedup fails to generate | {
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"@severo ",
"It seems that some parquet files have additional columns.\r\n\r\nI ran a scan and found that two files have the additional `__id__` column:\r\n\r\n1. `hf://datasets/bigcode/the-stack-dedup/data/numpy/data-00000-of-00001.parquet`\r\n2. `hf://datasets/bigcode/the-stack-dedup/data/omgrofl/data-00000-of-... | 2023-08-11 05:10:49 | 2023-08-17 09:26:13 | 2023-08-17 09:26:13 | {
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I'm getting an error generating the-stack-dedup with datasets 2.13.1, and with 2.14.4 nothing happens.
### Steps to reproduce the bug
My code:
```
import os
import datasets as ds
MY_CACHE_DIR = "/home/ubuntu/the-stack-dedup-local"
MY_TOKEN="my-token"
the_stack_ds = ds.load_dataset("... | {
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https://api.github.com/repos/huggingface/datasets/issues/6141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6141/comments | https://api.github.com/repos/huggingface/datasets/issues/6141/events | https://github.com/huggingface/datasets/issues/6141 | 1,846,117,729 | I_kwDODunzps5uCYVh | 6,141 | TypeError: ClientSession._request() got an unexpected keyword argument 'https' | {
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"Hi! I cannot reproduce this error on my machine or in Colab. Which version of `fsspec` do you have installed?"
] | 2023-08-11 02:40:32 | 2023-08-30 13:51:33 | 2023-08-30 13:51:33 | null | NONE | [] | null | null | null | null | ### Describe the bug
Hello, when I ran the [code snippet](https://huggingface.co/docs/datasets/v2.14.4/en/loading#json) on the document, I encountered the following problem:
```
Python 3.10.9 (main, Mar 1 2023, 18:23:06) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more informatio... | {
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https://api.github.com/repos/huggingface/datasets/issues/6140 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6140/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6140/comments | https://api.github.com/repos/huggingface/datasets/issues/6140/events | https://github.com/huggingface/datasets/issues/6140 | 1,845,384,712 | I_kwDODunzps5t_lYI | 6,140 | Misalignment between file format specified in configs metadata YAML and the inferred builder | {
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] | closed | false | [] | null | [] | 2023-08-10 15:07:34 | 2023-08-17 20:37:20 | 2023-08-17 20:37:20 | null | MEMBER | [] | null | null | null | null | There is a misalignment between the format of the `data_files` specified in the configs metadata YAML (CSV):
```yaml
configs:
- config_name: default
data_files:
- split: train
path: data.csv
```
and the inferred builder (JSON). Note there are multiple JSON files in the repo, but they do not... | {
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"Hi, thanks for the suggestion. It's not possible at the moment. The viewer is part of the Hub codebase and only works on public datasets. Also, it relies on [Datasets Server](https://github.com/huggingface/datasets-server/), which prepares the data and provides an API to access the rows, size, etc.\r\n\r\nIf you'r... | 2023-08-10 11:30:00 | 2024-09-24 18:36:35 | 2023-09-29 13:10:22 | null | NONE | [] | null | null | null | null | ### Feature request
The dataset viewer feature is very nice. It enables to the user to easily view the dataset. However, when working for private companies we cannot always upload the dataset to the hub. Is there a way to create dataset viewer offline? I.e. to run a code that will open some kind of html or something t... | {
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https://api.github.com/repos/huggingface/datasets/issues/6137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6137/comments | https://api.github.com/repos/huggingface/datasets/issues/6137/events | https://github.com/huggingface/datasets/issues/6137 | 1,844,952,312 | I_kwDODunzps5t97z4 | 6,137 | (`from_spark()`) Unable to connect HDFS in pyspark YARN setting | {
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related issue: https://github.com/apache/arrow/issues/37057#issue-1841013613
---
Hello. I'm trying to interact with HDFS storage from a driver and workers of pyspark YARN cluster. Precisely I'm using **huggingface's `datasets`** ([link](https://github.com/huggingface/datasets)) library tha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6136 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6136/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6136/comments | https://api.github.com/repos/huggingface/datasets/issues/6136/events | https://github.com/huggingface/datasets/issues/6136 | 1,844,887,866 | I_kwDODunzps5t9sE6 | 6,136 | CI check_code_quality error: E721 Do not compare types, use `isinstance()` | {
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"followers_url": "https://api.g... | MEMBER | [] | null | null | null | null | After latest release of `ruff` (https://pypi.org/project/ruff/0.0.284/), we get the following CI error:
```
src/datasets/utils/py_utils.py:689:12: E721 Do not compare types, use `isinstance()`
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/6134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6134/comments | https://api.github.com/repos/huggingface/datasets/issues/6134/events | https://github.com/huggingface/datasets/issues/6134 | 1,844,535,142 | I_kwDODunzps5t8V9m | 6,134 | `datasets` cannot be installed alongside `apache-beam` | {
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"I noticed that this is actually covered by issue #5613, which for some reason I didn't see when I searched the issues in this repo the first time."
] | 2023-08-10 06:54:32 | 2023-09-01 03:19:49 | 2023-08-10 15:22:10 | null | NONE | [] | null | null | null | null | ### Describe the bug
If one installs `apache-beam` alongside `datasets` (which is required for the [wikipedia](https://huggingface.co/datasets/wikipedia#dataset-summary) dataset) in certain environments (such as a Google Colab notebook), they appear to install successfully, however, actually trying to do something s... | {
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https://api.github.com/repos/huggingface/datasets/issues/6133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6133/comments | https://api.github.com/repos/huggingface/datasets/issues/6133/events | https://github.com/huggingface/datasets/issues/6133 | 1,844,511,519 | I_kwDODunzps5t8QMf | 6,133 | Dataset is slower after calling `to_iterable_dataset` | {
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"@lhoestq ",
"It's roughly the same code between the two so we can expected roughly the same speed, could you share a benchmark ?"
] | 2023-08-10 06:36:23 | 2023-08-16 09:18:54 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
Can anyone explain why looping over a dataset becomes slower after calling `to_iterable_dataset` to convert to `IterableDataset`
### Steps to reproduce the bug
Any dataset after converting to `IterableDataset`
### Expected behavior
Maybe it should be faster on big dataset? I only test on small... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6132/comments | https://api.github.com/repos/huggingface/datasets/issues/6132/events | https://github.com/huggingface/datasets/issues/6132 | 1,843,491,020 | I_kwDODunzps5t4XDM | 6,132 | to_iterable_dataset is missing in document | {
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"Fixed with PR"
] | 2023-08-09 15:15:03 | 2023-08-16 04:43:36 | 2023-08-16 04:43:29 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
to_iterable_dataset is missing in document
### Steps to reproduce the bug
to_iterable_dataset is missing in document
### Expected behavior
document enhancement
### Environment info
unrelated | {
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https://api.github.com/repos/huggingface/datasets/issues/6130 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6130/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6130/comments | https://api.github.com/repos/huggingface/datasets/issues/6130/events | https://github.com/huggingface/datasets/issues/6130 | 1,843,158,846 | I_kwDODunzps5t3F8- | 6,130 | default config name doesn't work when config kwargs are specified. | {
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"@lhoestq ",
"What should be the behavior in this case ? Should it override the default config with the added parameter ?",
"I know why it should be treated as a new config if overriding parameters are passed. But in some case, I just pass in some common fields like `data_dir`.\r\n\r\nFor example, I want to ext... | 2023-08-09 12:43:15 | 2023-11-22 11:50:49 | 2023-11-22 11:50:48 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
https://github.com/huggingface/datasets/blob/12cfc1196e62847e2e8239fbd727a02cbc86ddec/src/datasets/builder.py#L518-L522
If `config_name` is `None`, `DEFAULT_CONFIG_NAME` should be select. But once users pass `config_kwargs` to their customized `BuilderConfig`, the logic is ignored, and dataset ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6128/comments | https://api.github.com/repos/huggingface/datasets/issues/6128/events | https://github.com/huggingface/datasets/issues/6128 | 1,841,545,493 | I_kwDODunzps5tw8EV | 6,128 | IndexError: Invalid key: 88 is out of bounds for size 0 | {
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"Hi @TomasAndersonFang,\r\n\r\nHave you tried instead to use `torch_compile` in `transformers.TrainingArguments`? https://huggingface.co/docs/transformers/v4.31.0/en/main_classes/trainer#transformers.TrainingArguments.torch_compile",
"> \r\n\r\nI tried this and got the following error:\r\n\r\n```\r\nTraceback (mo... | 2023-08-08 15:32:08 | 2023-12-26 07:51:57 | 2023-08-11 13:35:09 | null | NONE | [] | null | null | null | null | ### Describe the bug
This bug generates when I use torch.compile(model) in my code, which seems to raise an error in datasets lib.
### Steps to reproduce the bug
I use the following code to fine-tune Falcon on my private dataset.
```python
import transformers
from transformers import (
AutoModelForCausalLM... | {
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https://api.github.com/repos/huggingface/datasets/issues/6126 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6126/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6126/comments | https://api.github.com/repos/huggingface/datasets/issues/6126/events | https://github.com/huggingface/datasets/issues/6126 | 1,839,675,320 | I_kwDODunzps5tpze4 | 6,126 | Private datasets do not load when passing token | {
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"Our CI did not catch this issue because with current implementation, stored token in `HfFolder` (which always exists) is used by default.",
"I can confirm this and have the same problem (and just went almost crazy because I couldn't figure out the source of this problem because on another computer everything wor... | 2023-08-07 15:06:47 | 2023-08-08 15:16:23 | 2023-08-08 15:16:23 | {
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Since the release of `datasets` 2.14, private/gated datasets do not load when passing `token`: they raise `EmptyDatasetError`.
This is a non-planned backward incompatible breaking change.
Note that private datasets do load if instead `download_config` is passed:
```python
from datasets i... | {
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https://api.github.com/repos/huggingface/datasets/issues/6125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6125/comments | https://api.github.com/repos/huggingface/datasets/issues/6125/events | https://github.com/huggingface/datasets/issues/6125 | 1,837,980,986 | I_kwDODunzps5tjV06 | 6,125 | Reinforcement Learning and Robotics are not task categories in HF datasets metadata | {
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In https://huggingface.co/models there are task categories for RL and robotics but none in https://huggingface.co/datasets
Our lab is currently moving our datasets over to hugging face and would like to be able to add those 2 tags
Moreover we see some older datasets that do have that tag, bu... | {
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https://api.github.com/repos/huggingface/datasets/issues/6124 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6124/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6124/comments | https://api.github.com/repos/huggingface/datasets/issues/6124/events | https://github.com/huggingface/datasets/issues/6124 | 1,837,868,112 | I_kwDODunzps5ti6RQ | 6,124 | Datasets crashing runs due to KeyError | {
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"i once had the same error and I could fix that by pushing a fake or a dummy commit on my hugging face dataset repo",
"Hi! We need a reproducer to fix this. Can you provide a link to the dataset (if it's public)?",
"> Hi! We need a reproducer to fix this. Can you provide a link to the dataset (if it's public)?\... | 2023-08-05 17:48:56 | 2023-11-30 16:28:57 | 2023-11-30 16:28:57 | null | NONE | [] | null | null | null | null | ### Describe the bug
Hi all,
I have been running into a pretty persistent issue recently when trying to load datasets.
```python
train_dataset = load_dataset(
'llama-2-7b-tokenized',
split = 'train'
)
```
I receive a KeyError which crashes the runs.
```
Traceback (most recent call... | {
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https://api.github.com/repos/huggingface/datasets/issues/6123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6123/comments | https://api.github.com/repos/huggingface/datasets/issues/6123/events | https://github.com/huggingface/datasets/issues/6123 | 1,837,789,294 | I_kwDODunzps5tinBu | 6,123 | Inaccurate Bounding Boxes in "wildreceipt" Dataset | {
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"Hi! Thanks for the investigation, but we are not the authors of these datasets, so please report this on the Hub instead so that the actual authors can fix it."
] | 2023-08-05 14:34:13 | 2023-08-17 14:25:27 | 2023-08-17 14:25:26 | null | NONE | [] | null | null | null | null | ### Describe the bug
I would like to bring to your attention an issue related to the accuracy of bounding boxes within the "wildreceipt" dataset, which is made available through the Hugging Face API. Specifically, I have identified a discrepancy between the bounding boxes generated by the dataset loading commands, n... | {
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https://api.github.com/repos/huggingface/datasets/issues/6122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6122/comments | https://api.github.com/repos/huggingface/datasets/issues/6122/events | https://github.com/huggingface/datasets/issues/6122 | 1,837,335,721 | I_kwDODunzps5tg4Sp | 6,122 | Upload README via `push_to_hub` | {
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"You can use `huggingface_hub`'s [Card API](https://huggingface.co/docs/huggingface_hub/package_reference/cards) to programmatically push a dataset card to the Hub."
] | 2023-08-04 21:00:27 | 2023-08-21 18:18:54 | 2023-08-21 18:18:54 | null | NONE | [] | null | null | null | null | ### Feature request
`push_to_hub` now allows users to upload datasets programmatically. However, based on the latest doc, we still need to open the dataset page to add readme file manually.
However, I do discover snippets to intialize a README for every `push_to_hub`:
```
dataset_card = (
DatasetCard(
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6120/comments | https://api.github.com/repos/huggingface/datasets/issues/6120/events | https://github.com/huggingface/datasets/issues/6120 | 1,836,026,938 | I_kwDODunzps5tb4w6 | 6,120 | Lookahead streaming support? | {
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"In which format is your dataset? We could expose the `pre_buffer` flag for Parquet to use PyArrow's background thread pool to speed up loading. "
] | 2023-08-04 04:01:52 | 2023-08-17 17:48:42 | null | null | NONE | [] | null | null | null | null | ### Feature request
From what I understand, streaming dataset currently pulls the data, and process the data as it is requested.
This can introduce significant latency delays when data is loaded into the training process, needing to wait for each segment.
While the delays might be dataset specific (or even mappi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6118 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6118/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6118/comments | https://api.github.com/repos/huggingface/datasets/issues/6118/events | https://github.com/huggingface/datasets/issues/6118 | 1,835,940,417 | I_kwDODunzps5tbjpB | 6,118 | IterableDataset.from_generator() fails with pickle error when provided a generator or iterator | {
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"Hi! `IterableDataset.from_generator` expects a generator function, not the object (to be consistent with `Dataset.from_generator`).\r\n\r\nYou can fix the above snippet as follows:\r\n```python\r\ntrain_dataset = IterableDataset.from_generator(line_generator, fn_kwargs={\"files\": model_training_files})\r\n```",
... | 2023-08-04 01:45:04 | 2025-11-18 16:07:04 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
**Description**
Providing a generator in an instantiation of IterableDataset.from_generator() fails with `TypeError: cannot pickle 'generator' object` when the generator argument is supplied with a generator.
**Code example**
```
def line_generator(files: List[Path]):
if isinstance(f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6116/comments | https://api.github.com/repos/huggingface/datasets/issues/6116/events | https://github.com/huggingface/datasets/issues/6116 | 1,835,098,484 | I_kwDODunzps5tYWF0 | 6,116 | [Docs] The "Process" how-to guide lacks description of `select_columns` function | {
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"Great idea, feel free to open a PR! :)"
] | 2023-08-03 13:45:10 | 2023-08-16 10:02:53 | 2023-08-16 10:02:53 | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
The [how to process dataset guide](https://huggingface.co/docs/datasets/main/en/process) currently does not mention the [`select_columns`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.select_columns) function. It would be nice to include it in the gui... | {
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https://api.github.com/repos/huggingface/datasets/issues/6114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6114/comments | https://api.github.com/repos/huggingface/datasets/issues/6114/events | https://github.com/huggingface/datasets/issues/6114 | 1,834,015,584 | I_kwDODunzps5tUNtg | 6,114 | Cache not being used when loading commonvoice 8.0.0 | {
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"You can avoid this by using the `revision` parameter in `load_dataset` to always force downloading a specific commit (if not specified it defaults to HEAD, hence the redownload).",
"Thanks @mariosasko this works well, looks like I should have read the documentation a bit more carefully. \r\n\r\nIt is still a bi... | 2023-08-02 23:18:11 | 2023-08-18 23:59:00 | 2023-08-18 23:59:00 | null | NONE | [] | null | null | null | null | ### Describe the bug
I have commonvoice 8.0.0 downloaded in `~/.cache/huggingface/datasets/mozilla-foundation___common_voice_8_0/en/8.0.0/b2f8b72f8f30b2e98c41ccf855954d9e35a5fa498c43332df198534ff9797a4a`. The folder contains all the arrow files etc, and was used as the cached version last time I touched the ec2 ins... | {
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https://api.github.com/repos/huggingface/datasets/issues/6113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6113/comments | https://api.github.com/repos/huggingface/datasets/issues/6113/events | https://github.com/huggingface/datasets/issues/6113 | 1,833,854,030 | I_kwDODunzps5tTmRO | 6,113 | load_dataset() fails with streamlit caching inside docker | {
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"Hi! This should be fixed in the latest (patch) release (run `pip install -U datasets` to install it). This behavior was due to a bug in our authentication logic."
] | 2023-08-02 20:20:26 | 2023-08-21 18:18:27 | 2023-08-21 18:18:27 | null | NONE | [] | null | null | null | null | ### Describe the bug
When calling `load_dataset` in a streamlit application running within a docker container, get a failure with the error message:
EmptyDatasetError: The directory at hf://datasets/fetch-rewards/inc-rings-2000@bea27cf60842b3641eae418f38864a2ec4cde684 doesn't contain any data files
Traceback:
Fil... | {
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https://api.github.com/repos/huggingface/datasets/issues/6112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6112/comments | https://api.github.com/repos/huggingface/datasets/issues/6112/events | https://github.com/huggingface/datasets/issues/6112 | 1,833,693,299 | I_kwDODunzps5tS_Bz | 6,112 | yaml error using push_to_hub with generated README.md | {
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"Thanks for reporting! This is a bug in converting the `ArrayXD` types to YAML. It will be fixed soon."
] | 2023-08-02 18:21:21 | 2023-12-12 15:00:44 | 2023-12-12 15:00:44 | {
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When I construct a dataset with the following features:
```
features = Features(
{
"pixel_values": Array3D(dtype="float64", shape=(3, 224, 224)),
"input_ids": Sequence(feature=Value(dtype="int64")),
"attention_mask": Sequence(Value(dtype="int64")),
"token... | {
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https://api.github.com/repos/huggingface/datasets/issues/6111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6111/comments | https://api.github.com/repos/huggingface/datasets/issues/6111/events | https://github.com/huggingface/datasets/issues/6111 | 1,832,781,654 | I_kwDODunzps5tPgdW | 6,111 | raise FileNotFoundError("Directory {dataset_path} is neither a `Dataset` directory nor a `DatasetDict` directory." ) | {
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"any idea?",
"This should work: `load_dataset(\"path/to/downloaded_repo\")`\r\n\r\n`load_from_disk` is intended to be used on directories created with `Dataset.save_to_disk` or `DatasetDict.save_to_disk`",
"> This should work: `load_dataset(\"path/to/downloaded_repo\")`\r\n> \r\n> `load_from_disk` is intended t... | 2023-08-02 09:17:29 | 2023-08-29 02:00:28 | 2023-08-29 02:00:28 | null | NONE | [] | null | null | null | null | ### Describe the bug
For researchers in some countries or regions, it is usually the case that the download ability of `load_dataset` is disabled due to the complex network environment. People in these regions often prefer to use git clone or other programming tricks to manually download the files to the disk (for exa... | {
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https://api.github.com/repos/huggingface/datasets/issues/6110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6110/comments | https://api.github.com/repos/huggingface/datasets/issues/6110/events | https://github.com/huggingface/datasets/issues/6110 | 1,831,110,633 | I_kwDODunzps5tJIfp | 6,110 | [BUG] Dataset initialized from in-memory data does not create cache. | {
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"This is expected behavior. You must provide `cache_file_name` when performing `.map` on an in-memory dataset for the result to be cached."
] | 2023-08-01 11:58:58 | 2023-08-17 14:03:01 | 2023-08-17 14:03:00 | null | NONE | [] | null | null | null | null | ### Describe the bug
`Dataset` initialized from in-memory data (dictionary in my case, haven't tested with other types) does not create cache when processed with the `map` method, unlike `Dataset` initialized by other methods such as `load_dataset`.
### Steps to reproduce the bug
```python
# below code was ru... | {
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https://api.github.com/repos/huggingface/datasets/issues/6109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6109/comments | https://api.github.com/repos/huggingface/datasets/issues/6109/events | https://github.com/huggingface/datasets/issues/6109 | 1,830,753,793 | I_kwDODunzps5tHxYB | 6,109 | Problems in downloading Amazon reviews from HF | {
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"Thanks for reporting, @610v4nn1.\r\n\r\nIndeed, the source data files are no longer available. We have contacted the authors of the dataset and they report that Amazon has decided to stop distributing the multilingual reviews dataset.\r\n\r\nWe are adding a notification about this issue to the dataset card.\r\n\r\... | 2023-08-01 08:38:29 | 2025-07-18 17:47:30 | 2023-08-02 07:12:07 | {
"login": "albertvillanova",
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"followers_url": "https://api.g... | NONE | [] | null | null | null | null | ### Describe the bug
I have a script downloading `amazon_reviews_multi`.
When the download starts, I get
```
Downloading data files: 0%| | 0/1 [00:00<?, ?it/s]
Downloading data: 243B [00:00, 1.43MB/s]
Downloading data files: 100%|██████████| 1/1 [00:01<00:00, 1.54s/it]
Extracting data files: 100%... | {
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https://api.github.com/repos/huggingface/datasets/issues/6108 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6108/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6108/comments | https://api.github.com/repos/huggingface/datasets/issues/6108/events | https://github.com/huggingface/datasets/issues/6108 | 1,830,347,187 | I_kwDODunzps5tGOGz | 6,108 | Loading local datasets got strangely stuck | {
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"Yesterday I waited for more than 12 hours to make sure it was really **stuck** instead of proceeding too slow.",
"I've had similar weird issues with `load_dataset` as well. Not multiple files, but dataset is quite big, about 50G.",
"We use a generic multiprocessing code, so there is little we can do about this... | 2023-08-01 02:28:06 | 2024-12-31 16:01:00 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I try to use `load_dataset()` to load several local `.jsonl` files as a dataset. Every line of these files is a json structure only containing one key `text` (yeah it is a dataset for NLP model). The code snippet is as:
```python
ds = load_dataset("json", data_files=LIST_OF_FILE_PATHS, num_proc=... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6106 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6106/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6106/comments | https://api.github.com/repos/huggingface/datasets/issues/6106/events | https://github.com/huggingface/datasets/issues/6106 | 1,829,131,223 | I_kwDODunzps5tBlPX | 6,106 | load local json_file as dataset | {
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"Hi! We use PyArrow to read JSON files, and PyArrow doesn't allow different value types in the same column. #5776 should address this.\r\n\r\nIn the meantime, you can combine `Dataset.from_generator` with the above code to cast the values to the same type. ",
"Thanks for your help!"
] | 2023-07-31 12:53:49 | 2023-08-18 01:46:35 | 2023-08-18 01:46:35 | null | NONE | [] | null | null | null | null | ### Describe the bug
I tried to load local json file as dataset but failed to parsing json file because some columns are 'float' type.
### Steps to reproduce the bug
1. load json file with certain columns are 'float' type. For example `data = load_data("json", data_files=JSON_PATH)`
2. Then, the error will be trigg... | {
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https://api.github.com/repos/huggingface/datasets/issues/6104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6104/comments | https://api.github.com/repos/huggingface/datasets/issues/6104/events | https://github.com/huggingface/datasets/issues/6104 | 1,828,959,107 | I_kwDODunzps5tA7OD | 6,104 | HF Datasets data access is extremely slow even when in memory | {
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"Possibly related:\r\n- https://github.com/pytorch/pytorch/issues/22462"
] | 2023-07-31 11:12:19 | 2023-08-01 11:22:43 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
Doing a simple `some_dataset[:10]` can take more than a minute.
Profiling it:
<img width="1280" alt="image" src="https://github.com/huggingface/datasets/assets/36224762/e641fb95-ff02-4072-9016-5416a65f75ab">
`some_dataset` is completely in memory with no disk cache.
This is proving fat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6100/comments | https://api.github.com/repos/huggingface/datasets/issues/6100/events | https://github.com/huggingface/datasets/issues/6100 | 1,828,118,930 | I_kwDODunzps5s9uGS | 6,100 | TypeError when loading from GCP bucket | {
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"Thanks for reporting, @bilelomrani1.\r\n\r\nWe are fixing it. ",
"We have fixed it. We are planning to do a patch release today."
] | 2023-07-30 23:03:00 | 2023-08-03 10:00:48 | 2023-08-01 10:38:55 | {
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"followers_url": "https://api.g... | NONE | [] | null | null | null | null | ### Describe the bug
Loading a dataset from a GCP bucket raises a type error. This bug was introduced recently (either in 2.14 or 2.14.1), and appeared during a migration from 2.13.1.
### Steps to reproduce the bug
Load any file from a GCP bucket:
```python
import datasets
datasets.load_dataset("json", data_f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6099/comments | https://api.github.com/repos/huggingface/datasets/issues/6099/events | https://github.com/huggingface/datasets/issues/6099 | 1,827,893,576 | I_kwDODunzps5s83FI | 6,099 | How do i get "amazon_us_reviews | {
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"Seems like the problem isn't with the library, but the dataset itself hosted on AWS S3.\r\n\r\nIts [homepage](https://s3.amazonaws.com/amazon-reviews-pds/readme.html) returns an `AccessDenied` XML response, which is the same thing you get if you try to log the `record` that triggers the exception\r\n\r\n```python\... | 2023-07-30 11:02:17 | 2023-08-21 05:08:08 | 2023-08-10 05:02:35 | null | NONE | [] | null | null | null | null | ### Feature request
I have been trying to load 'amazon_us_dataset" but unable to do so.
`amazon_us_reviews = load_dataset('amazon_us_reviews')`
`print(amazon_us_reviews)`
> [ValueError: Config name is missing.
Please pick one among the available configs: ['Wireless_v1_00', 'Watches_v1_00', 'Video_Games_v1... | {
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https://api.github.com/repos/huggingface/datasets/issues/6097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6097/comments | https://api.github.com/repos/huggingface/datasets/issues/6097/events | https://github.com/huggingface/datasets/issues/6097 | 1,827,054,143 | I_kwDODunzps5s5qI_ | 6,097 | Dataset.get_nearest_examples does not return all feature values for the k most similar datapoints - side effect of Dataset.set_format | {
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"Actually, my bad -- specifying\r\n```python\r\nfoo.set_format('numpy', ['vectors'], output_all_columns=True)\r\n```\r\nfixes it."
] | 2023-07-28 20:31:59 | 2023-07-28 20:49:58 | 2023-07-28 20:49:58 | null | NONE | [] | null | null | null | null | ### Describe the bug
Hi team!
I observe that there seems to be a side effect of `Dataset.set_format`: after setting a format and creating a FAISS index, the method `get_nearest_examples` from the `Dataset` class, fails to retrieve anything else but the embeddings themselves - not super useful. This is not the case ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6090/comments | https://api.github.com/repos/huggingface/datasets/issues/6090/events | https://github.com/huggingface/datasets/issues/6090 | 1,825,865,043 | I_kwDODunzps5s1H1T | 6,090 | FilesIterable skips all the files after a hidden file | {
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"Thanks for reporting. We've merged a PR with a fix."
] | 2023-07-28 07:25:57 | 2023-07-28 10:51:14 | 2023-07-28 10:50:11 | null | NONE | [] | null | null | null | null | ### Describe the bug
When initializing `FilesIterable` with a list of file paths using `FilesIterable.from_paths`, it will discard all the files after a hidden file.
The problem is in [this line](https://github.com/huggingface/datasets/blob/88896a7b28610ace95e444b94f9a4bc332cc1ee3/src/datasets/download/download_manag... | {
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https://api.github.com/repos/huggingface/datasets/issues/6089 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6089/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6089/comments | https://api.github.com/repos/huggingface/datasets/issues/6089/events | https://github.com/huggingface/datasets/issues/6089 | 1,825,761,476 | I_kwDODunzps5s0ujE | 6,089 | AssertionError: daemonic processes are not allowed to have children | {
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"We could add a \"threads\" parallel backend to `datasets.parallel.parallel_backend` to support downloading with threads but note that `download_and_extract` also decompresses archives, and this is a CPU-intensive task, which is not ideal for (Python) threads (good for IO-intensive tasks).",
"> We could add a \"t... | 2023-07-28 06:04:00 | 2023-07-31 02:34:02 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
When I load_dataset with num_proc > 0 in a deamon process, I got an error:
```python
File "/Users/codingl2k1/Work/datasets/src/datasets/download/download_manager.py", line 564, in download_and_extract
return self.extract(self.download(url_or_urls))
^^^^^^^^^^^^^^^^^
File "/Users... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6088 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6088/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6088/comments | https://api.github.com/repos/huggingface/datasets/issues/6088/events | https://github.com/huggingface/datasets/issues/6088 | 1,825,665,235 | I_kwDODunzps5s0XDT | 6,088 | Loading local data files initiates web requests | {
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```python
# Load a JSON file
from datasets import load_dataset
ds = load_dataset('json', data_files='path/to/local/my_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6087 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6087/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6087/comments | https://api.github.com/repos/huggingface/datasets/issues/6087/events | https://github.com/huggingface/datasets/issues/6087 | 1,825,133,741 | I_kwDODunzps5syVSt | 6,087 | fsspec dependency is set too low | {
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"Thanks for reporting! A PR with a fix has just been merged."
] | 2023-07-27 20:08:22 | 2023-07-28 10:07:56 | 2023-07-28 10:07:03 | null | NONE | [] | null | null | null | null | ### Describe the bug
fsspec.callbacks.TqdmCallback (used in https://github.com/huggingface/datasets/blob/73bed12ecda17d1573fd3bf73ed5db24d3622f86/src/datasets/utils/file_utils.py#L338) was first released in fsspec [2022.3.0](https://github.com/fsspec/filesystem_spec/releases/tag/2022.3.0, commit where it was added: ht... | {
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https://api.github.com/repos/huggingface/datasets/issues/6086 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6086/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6086/comments | https://api.github.com/repos/huggingface/datasets/issues/6086/events | https://github.com/huggingface/datasets/issues/6086 | 1,825,009,268 | I_kwDODunzps5sx250 | 6,086 | Support `fsspec` in `Dataset.to_<format>` methods | {
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"Hi @mariosasko unless someone's already working on it, I guess I can tackle it!",
"Hi! Sure, feel free to tackle this.",
"#self-assign",
"I'm assuming this should just cover `to_csv`, `to_parquet`, and `to_json`, right? As `to_list` and `to_dict` just return Python objects, `to_pandas` returns a `pandas.Data... | 2023-07-27 19:08:37 | 2024-03-07 07:22:43 | 2024-03-07 07:22:42 | {
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Requested on the forum [here](https://discuss.huggingface.co/t/how-can-i-convert-a-loaded-dataset-in-to-a-parquet-file-and-save-it-to-the-s3/48353). | {
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https://api.github.com/repos/huggingface/datasets/issues/6084 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6084/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6084/comments | https://api.github.com/repos/huggingface/datasets/issues/6084/events | https://github.com/huggingface/datasets/issues/6084 | 1,824,896,761 | I_kwDODunzps5sxbb5 | 6,084 | Changing pixel values of images in the Winoground dataset | {
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"
from datasets import load_dataset
examples = load_dataset('facebook/winoground', use_auth_token=<YOUR USER ACCESS TOKEN>)
"
I got slightly different datasets in colab and in my hpc environment. Specifically, the pixel values of images are slight... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6079/comments | https://api.github.com/repos/huggingface/datasets/issues/6079/events | https://github.com/huggingface/datasets/issues/6079 | 1,822,597,471 | I_kwDODunzps5soqFf | 6,079 | Iterating over DataLoader based on HF datasets is stuck forever | {
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"When the process starts to hang, can you interrupt it with CTRL + C and paste the error stack trace here? ",
"Thanks @mariosasko for your prompt response, here's the stack trace:\r\n\r\n```\r\nKeyboardInterrupt Traceback (most recent call last)\r\nCell In[12], line 4\r\n 2 t = time.t... | 2023-07-26 14:52:37 | 2024-02-07 17:46:52 | 2023-07-30 14:09:06 | null | NONE | [] | null | null | null | null | ### Describe the bug
I am using Amazon Sagemaker notebook (Amazon Linux 2) with python 3.10 based Conda environment.
I have a dataset in parquet format locally. When I try to iterate over it, the loader is stuck forever. Note that the same code is working for python 3.6 based conda environment seamlessly. What shou... | {
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https://api.github.com/repos/huggingface/datasets/issues/6078 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6078/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6078/comments | https://api.github.com/repos/huggingface/datasets/issues/6078/events | https://github.com/huggingface/datasets/issues/6078 | 1,822,501,472 | I_kwDODunzps5soSpg | 6,078 | resume_download with streaming=True | {
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"Currently, it's not possible to efficiently resume streaming after an error. Eventually, we plan to support this for Parquet (see https://github.com/huggingface/datasets/issues/5380). ",
"Ok thank you for your answer",
"I'm closing this as a duplicate of #5380"
] | 2023-07-26 14:08:22 | 2023-07-28 11:05:03 | 2023-07-28 11:05:03 | null | NONE | [] | null | null | null | null | ### Describe the bug
I used:
```
dataset = load_dataset(
"oscar-corpus/OSCAR-2201",
token=True,
language="fr",
streaming=True,
split="train"
)
```
Unfortunately, the server had a problem during the training process. I saved the step my training stopped at.
But how can I resume download f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6077 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6077/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6077/comments | https://api.github.com/repos/huggingface/datasets/issues/6077/events | https://github.com/huggingface/datasets/issues/6077 | 1,822,486,810 | I_kwDODunzps5soPEa | 6,077 | Mapping gets stuck at 99% | {
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"The `MAX_MAP_BATCH_SIZE = 1_000_000_000` hack is bad as it loads the entire dataset into RAM when performing `.map`. Instead, it's best to use `.iter(batch_size)` to iterate over the data batches and compute `mean` for each column. (`stddev` can be computed in another pass).\r\n\r\nAlso, these arrays are big, so i... | 2023-07-26 14:00:40 | 2024-07-22 12:28:06 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
Hi !
I'm currently working with a large (~150GB) unnormalized dataset at work.
The dataset is available on a read-only filesystem internally, and I use a [loading script](https://huggingface.co/docs/datasets/dataset_script) to retreive it.
I want to normalize the features of the dataset, ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6075 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6075/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6075/comments | https://api.github.com/repos/huggingface/datasets/issues/6075/events | https://github.com/huggingface/datasets/issues/6075 | 1,822,341,398 | I_kwDODunzps5snrkW | 6,075 | Error loading music files using `load_dataset` | {
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"This code behaves as expected on my local machine or in Colab. Which version of `soundfile` do you have installed? MP3 requires `soundfile>=0.12.1`.",
"I upgraded the `soundfile` and it's working now! \r\nThanks @mariosasko for the help!"
] | 2023-07-26 12:44:05 | 2023-07-26 13:08:08 | 2023-07-26 13:08:08 | null | NONE | [] | null | null | null | null | ### Describe the bug
I tried to load a music file using `datasets.load_dataset()` from the repository - https://huggingface.co/datasets/susnato/pop2piano_real_music_test
I got the following error -
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/susnato/anaconda3/en... | {
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https://api.github.com/repos/huggingface/datasets/issues/6073 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6073/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6073/comments | https://api.github.com/repos/huggingface/datasets/issues/6073/events | https://github.com/huggingface/datasets/issues/6073 | 1,822,167,804 | I_kwDODunzps5snBL8 | 6,073 | version2.3.2 load_dataset()data_files can't include .xxxx in path | {
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"Version 2.3.2 is over one year old, so please use the latest release (2.14.0) to get the expected behavior. Version 2.3.2 does not contain some fixes we made to fix resolving hidden files/directories (starting with a dot)."
] | 2023-07-26 11:09:31 | 2023-08-29 15:53:59 | 2023-08-29 15:53:59 | null | NONE | [] | null | null | null | null | ### Describe the bug
First, I cd workdir.
Then, I just use load_dataset("json", data_file={"train":"/a/b/c/.d/train/train.json", "test":"/a/b/c/.d/train/test.json"})
that couldn't work and
<FileNotFoundError: Unable to find
'/a/b/c/.d/train/train.jsonl' at
/a/b/c/.d/>
And I debug, it is fine in version2.1.2... | {
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https://api.github.com/repos/huggingface/datasets/issues/6071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6071/comments | https://api.github.com/repos/huggingface/datasets/issues/6071/events | https://github.com/huggingface/datasets/issues/6071 | 1,821,990,749 | I_kwDODunzps5smV9d | 6,071 | storage_options provided to load_dataset not fully piping through since datasets 2.14.0 | {
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"Hi ! Thanks for reporting, I opened a PR to fix this\r\n\r\nWhat filesystem are you using ?",
"Hi @lhoestq ! Thank you so much 🙌 \r\n\r\nIt's a bit of a custom setup, but in practice I am using a [pyarrow.fs.S3FileSystem](https://arrow.apache.org/docs/python/generated/pyarrow.fs.S3FileSystem.html) (wrapped in a... | 2023-07-26 09:37:20 | 2023-07-27 12:42:58 | 2023-07-27 12:42:58 | null | NONE | [] | null | null | null | null | ### Describe the bug
Since the latest release of `datasets` (`2.14.0`), custom filesystem `storage_options` passed to `load_dataset()` do not seem to propagate through all the way - leading to problems if loading data files that need those options to be set.
I think this is because of the new `_prepare_path_and_sto... | {
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https://api.github.com/repos/huggingface/datasets/issues/6069 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6069/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6069/comments | https://api.github.com/repos/huggingface/datasets/issues/6069/events | https://github.com/huggingface/datasets/issues/6069 | 1,820,831,535 | I_kwDODunzps5sh68v | 6,069 | KeyError: dataset has no key "image" | {
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"You can list the dataset's columns with `ds.column_names` before `.map` to check whether the dataset has an `image` column. If it doesn't, then this is a bug. Otherwise, please paste the line with the `.map` call.\r\n\r\n\r\n",
"This is the piece of code I am running:\r\n```\r\ndata_transforms = utils.get_data_a... | 2023-07-25 17:45:50 | 2024-09-06 08:16:16 | 2023-07-27 12:42:17 | null | NONE | [] | null | null | null | null | ### Describe the bug
I've loaded a local image dataset with:
`ds = laod_dataset("imagefolder", data_dir=path-to-data)`
And defined a transform to process the data, following the Datasets docs.
However, I get a keyError error, indicating there's no "image" key in my dataset. When I printed out the example_batch ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6066 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6066/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6066/comments | https://api.github.com/repos/huggingface/datasets/issues/6066/events | https://github.com/huggingface/datasets/issues/6066 | 1,819,717,542 | I_kwDODunzps5sdq-m | 6,066 | AttributeError: '_tqdm_cls' object has no attribute '_lock' | {
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"Hi ! I opened https://github.com/huggingface/datasets/pull/6067 to add the missing `_lock`\r\n\r\nWe'll do a patch release soon, but feel free to install `datasets` from source in the meantime",
"I have tested the latest main, it does not work.\r\n\r\nI add more logs to reproduce this issue, it looks like a mult... | 2023-07-25 07:24:36 | 2023-07-26 10:56:25 | 2023-07-26 10:56:24 | null | NONE | [] | null | null | null | null | ### Describe the bug
```python
File "/Users/codingl2k1/.pyenv/versions/3.11.4/lib/python3.11/site-packages/datasets/load.py", line 1034, in get_module
data_files = DataFilesDict.from_patterns(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/codingl2k1/.pyenv/versions/3.11.4/lib/python3.11/site-p... | {
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https://api.github.com/repos/huggingface/datasets/issues/6060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6060/comments | https://api.github.com/repos/huggingface/datasets/issues/6060/events | https://github.com/huggingface/datasets/issues/6060 | 1,816,614,120 | I_kwDODunzps5sR1To | 6,060 | Dataset.map() execute twice when in PyTorch DDP mode | {
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"Sorry for asking a duplicate question about `num_proc`, I searched the forum and find the solution.\r\n\r\nBut I still can't make the trick with `torch.distributed.barrier()` to only map at the main process work. The [post on forum]( https://discuss.huggingface.co/t/slow-processing-with-map-when-using-deepspeed-or... | 2023-07-22 05:06:43 | 2024-01-22 18:35:12 | 2024-01-22 18:35:12 | null | NONE | [] | null | null | null | null | ### Describe the bug
I use `torchrun --standalone --nproc_per_node=2 train.py` to start training. And write the code following the [docs](https://huggingface.co/docs/datasets/process#distributed-usage). The trick about using `torch.distributed.barrier()` to only execute map at the main process doesn't always work. W... | {
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https://api.github.com/repos/huggingface/datasets/issues/6059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6059/comments | https://api.github.com/repos/huggingface/datasets/issues/6059/events | https://github.com/huggingface/datasets/issues/6059 | 1,816,537,176 | I_kwDODunzps5sRihY | 6,059 | Provide ability to load label mappings from file | {
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"I would like this also as I have been working with a dataset with hierarchical classes. In fact, I encountered this very issue when trying to define the dataset with a script. I couldn't find a work around and reverted to hard coding the class names in the readme yaml.\r\n\r\n@david-waterworth do you envision also... | 2023-07-22 02:04:19 | 2024-04-16 08:07:55 | null | null | NONE | [] | null | null | null | null | ### Feature request
My task is classification of a dataset containing a large label set that includes a hierarchy. Even ignoring the hierarchy I'm not able to find an example using `datasets` where the label names aren't hard-coded. This works find for classification of a handful of labels but ideally there would be... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6058/comments | https://api.github.com/repos/huggingface/datasets/issues/6058/events | https://github.com/huggingface/datasets/issues/6058 | 1,815,131,397 | I_kwDODunzps5sMLUF | 6,058 | laion-coco download error | {
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"This can also mean one of the files was not downloaded correctly.\r\n\r\nWe log an erroneous file's name before raising the reader's error, so this is how you can find the problematic file. Then, you should delete it and call `load_dataset` again.\r\n\r\n(I checked all the uploaded files, and they seem to be valid... | 2023-07-21 04:24:15 | 2023-07-22 01:42:06 | 2023-07-22 01:42:06 | null | NONE | [] | null | null | null | null | ### Describe the bug
The full trace:
```
/home/bian/anaconda3/envs/sd/lib/python3.10/site-packages/datasets/load.py:1744: FutureWarning: 'ignore_verifications' was de
precated in favor of 'verification_mode' in version 2.9.1 and will be removed in 3.0.0.
You can remove this warning by passing 'verification_mode=no... | {
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https://api.github.com/repos/huggingface/datasets/issues/6057 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6057/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6057/comments | https://api.github.com/repos/huggingface/datasets/issues/6057/events | https://github.com/huggingface/datasets/issues/6057 | 1,815,100,151 | I_kwDODunzps5sMDr3 | 6,057 | Why is the speed difference of gen example so big? | {
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"Hi!\r\n\r\nIt's hard to explain this behavior without more information. Can you profile the slower version with the following code\r\n```python\r\nimport cProfile, pstats\r\nfrom datasets import load_dataset\r\n\r\nwith cProfile.Profile() as profiler:\r\n ds = load_dataset(...)\r\n\r\nstats = pstats.Stats(profi... | 2023-07-21 03:34:49 | 2023-10-04 18:06:16 | 2023-10-04 18:06:15 | null | NONE | [] | null | null | null | null | ```python
def _generate_examples(self, metadata_path, images_dir, conditioning_images_dir):
with open(metadata_path, 'r') as file:
metadata = json.load(file)
for idx, item in enumerate(metadata):
image_path = item.get('image_path')
text_content = item.get('tex... | {
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https://api.github.com/repos/huggingface/datasets/issues/6055 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6055/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6055/comments | https://api.github.com/repos/huggingface/datasets/issues/6055/events | https://github.com/huggingface/datasets/issues/6055 | 1,813,524,145 | I_kwDODunzps5sGC6x | 6,055 | Fix host URL in The Pile datasets | {
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In #3627 and #5543, you tried to fix the host URL in The Pile datasets. But both URLs are not working now:
`HTTPError: 404 Client Error: Not Found for URL: https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst`
And
`ConnectTimeout: HTTPSCo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6054 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6054/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6054/comments | https://api.github.com/repos/huggingface/datasets/issues/6054/events | https://github.com/huggingface/datasets/issues/6054 | 1,813,271,304 | I_kwDODunzps5sFFMI | 6,054 | Multi-processed `Dataset.map` slows down a lot when `import torch` | {
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"A duplicate of https://github.com/huggingface/datasets/issues/5929"
] | 2023-07-20 06:36:14 | 2023-07-21 15:19:37 | 2023-07-21 15:19:37 | null | NONE | [] | null | null | null | null | ### Describe the bug
When using `Dataset.map` with `num_proc > 1`, the speed slows down much if I add `import torch` to the start of the script even though I don't use it.
I'm not sure if it's `torch` only or if any other package that is "large" will also cause the same result.
BTW, `import lightning` also slows i... | {
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https://api.github.com/repos/huggingface/datasets/issues/6053 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6053/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6053/comments | https://api.github.com/repos/huggingface/datasets/issues/6053/events | https://github.com/huggingface/datasets/issues/6053 | 1,812,635,902 | I_kwDODunzps5sCqD- | 6,053 | Change package name from "datasets" to something less generic | {
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"This would break a lot of existing code, so we can't really do this.",
"I encountered this issue while working on a large project with 6+ years history. We have a submodule named datasets in the backend, and face a big challenge incorporating huggingface datasets into the project, especially considering django a... | 2023-07-19 19:53:28 | 2024-11-20 21:22:36 | 2023-10-03 16:04:09 | null | NONE | [] | null | null | null | null | ### Feature request
I'm repeatedly finding myself in situations where I want to have a package called `datasets.py` or `evaluate.py` in my code and can't because those names are being taken up by Huggingface packages. While I can understand how (even from the user's perspective) it's aesthetically pleasing to have n... | {
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https://api.github.com/repos/huggingface/datasets/issues/6051 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6051/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6051/comments | https://api.github.com/repos/huggingface/datasets/issues/6051/events | https://github.com/huggingface/datasets/issues/6051 | 1,811,549,650 | I_kwDODunzps5r-g3S | 6,051 | Skipping shard in the remote repo and resume upload | {
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"Hi! `_select_contiguous` fetches a (zero-copy) slice of the dataset's Arrow table to build a shard, so I don't think this part is the problem. To me, the issue seems to be the step where we embed external image files' bytes (a lot of file reads). You can use `.map` with multiprocessing to perform this step before ... | 2023-07-19 09:25:26 | 2023-07-20 18:16:01 | 2023-07-20 18:16:00 | null | NONE | [] | null | null | null | null | ### Describe the bug
For some reason when I try to resume the upload of my dataset, it is very slow to reach the index of the shard from which to resume the uploading.
From my understanding, the problem is in this part of the code:
arrow_dataset.py
```python
for index, shard in logging.tqdm(
enume... | {
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https://api.github.com/repos/huggingface/datasets/issues/6048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6048/comments | https://api.github.com/repos/huggingface/datasets/issues/6048/events | https://github.com/huggingface/datasets/issues/6048 | 1,809,629,346 | I_kwDODunzps5r3MCi | 6,048 | when i use datasets.load_dataset, i encounter the http connect error! | {
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"The `audiofolder` loader is not available in version `2.3.2`, hence the error. Please run the `pip install -U datasets` command to update the `datasets` installation to make `load_dataset(\"audiofolder\", ...)` work."
] | 2023-07-18 10:16:34 | 2023-07-18 16:18:39 | 2023-07-18 16:18:39 | null | NONE | [] | null | null | null | null | ### Describe the bug
`common_voice_test = load_dataset("audiofolder", data_dir="./dataset/",cache_dir="./cache",split=datasets.Split.TEST)`
when i run the code above, i got the error as below:
--------------------------------------------
ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/... | {
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https://api.github.com/repos/huggingface/datasets/issues/6046 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6046/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6046/comments | https://api.github.com/repos/huggingface/datasets/issues/6046/events | https://github.com/huggingface/datasets/issues/6046 | 1,808,154,414 | I_kwDODunzps5rxj8u | 6,046 | Support proxy and user-agent in fsspec calls | {
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"hii @lhoestq can you assign this issue to me?\r\n",
"You can reply \"#self-assign\" to this issue to automatically get assigned to it :)\r\nLet me know if you have any questions or if I can help",
"#2289 ",
"Actually i am quite new to figure it out how everything goes and done \r\n\r\n> You can reply \"#self... | 2023-07-17 16:39:26 | 2025-06-26 18:26:27 | null | {
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"followers_url": "https://api.github.com/users/zutarich/fo... | MEMBER | [] | null | null | null | null | Since we switched to the new HfFileSystem we no longer apply user's proxy and user-agent.
Using the HTTP_PROXY and HTTPS_PROXY environment variables works though since we use aiohttp to call the HF Hub.
This can be implemented in `_prepare_single_hop_path_and_storage_options`.
Though ideally the `HfFileSystem`... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6043 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6043/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6043/comments | https://api.github.com/repos/huggingface/datasets/issues/6043/events | https://github.com/huggingface/datasets/issues/6043 | 1,807,771,750 | I_kwDODunzps5rwGhm | 6,043 | Compression kwargs have no effect when saving datasets as csv | {
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"Hello @exs-avianello, I have reproduced the bug successfully and have understood the problem. But I am confused regarding this part of the statement, \"`pandas.DataFrame.to_csv` is always called with a buf-like `path_or_buf`\".\r\n\r\nCan you please elaborate on it?\r\n\r\nThanks!",
"Hi @aryanxk02 ! Sure, what I... | 2023-07-17 13:19:21 | 2023-07-22 17:34:18 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Attempting to save a dataset as a compressed csv file, the compression kwargs provided to `.to_csv()` that get piped to panda's `pandas.DataFrame.to_csv` do not have any effect - resulting in the dataset not getting compressed.
A warning is raised if explicitly providing a `compression` kwarg, ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6039 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6039/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6039/comments | https://api.github.com/repos/huggingface/datasets/issues/6039/events | https://github.com/huggingface/datasets/issues/6039 | 1,806,508,451 | I_kwDODunzps5rrSGj | 6,039 | Loading column subset from parquet file produces error since version 2.13 | {
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`load_dataset` allows loading a subset of columns from a parquet file with the `columns` argument. Since version 2.13, this produces the following error:
```
Traceback (most recent call last):
File "/usr/lib/python3.10/site-packages/datasets/builder.py", line 1879, in ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6038 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6038/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6038/comments | https://api.github.com/repos/huggingface/datasets/issues/6038/events | https://github.com/huggingface/datasets/issues/6038 | 1,805,960,244 | I_kwDODunzps5rpMQ0 | 6,038 | File "/home/zhizhou/anaconda3/envs/pytorch/lib/python3.10/site-packages/datasets/builder.py", line 992, in _download_and_prepare if str(split_generator.split_info.name).lower() == "all": AttributeError: 'str' object has no attribute 'split_info'. Did you mean: 'splitlines'? | {
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"Instead of writing the loading script, you can use the built-in loader to [load JSON files](https://huggingface.co/docs/datasets/loading#json):\r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset(\"json\", data_files={\"train\": os.path.join(data_dir[\"train\"]), \"dev\": os.path.join(data_dir[\... | 2023-07-15 07:58:08 | 2023-07-24 11:54:15 | 2023-07-24 11:54:15 | null | NONE | [] | null | null | null | null | Hi, I use the code below to load local file
```
def _split_generators(self, dl_manager):
# TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
# If several configurations are possible (listed in BUILDER_CONFIGS), the configurati... | {
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https://api.github.com/repos/huggingface/datasets/issues/6037 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6037/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6037/comments | https://api.github.com/repos/huggingface/datasets/issues/6037/events | https://github.com/huggingface/datasets/issues/6037 | 1,805,887,184 | I_kwDODunzps5ro6bQ | 6,037 | Documentation links to examples are broken | {
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"These docs are outdated (version 1.2.1 is over two years old). Please refer to [this](https://huggingface.co/docs/datasets/dataset_script) version instead.\r\n\r\nInitially, we hosted datasets in this repo, but now you can find them [on the HF Hub](https://huggingface.co/datasets) (e.g. the [`ag_news`](https://hug... | 2023-07-15 04:54:50 | 2023-07-17 22:35:14 | 2023-07-17 15:10:32 | null | NONE | [] | null | null | null | null | ### Describe the bug
The links at the bottom of [add_dataset](https://huggingface.co/docs/datasets/v1.2.1/add_dataset.html) to examples of specific datasets are all broken, for example
- text classification: [ag_news](https://github.com/huggingface/datasets/blob/master/datasets/ag_news/ag_news.py) (original data ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6034 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6034/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6034/comments | https://api.github.com/repos/huggingface/datasets/issues/6034/events | https://github.com/huggingface/datasets/issues/6034 | 1,804,501,361 | I_kwDODunzps5rjoFx | 6,034 | load_dataset hangs on WSL | {
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"Even if a dataset is cached, we still make requests to check whether the cache is up-to-date. [This](https://huggingface.co/docs/datasets/v2.13.1/en/loading#offline) section in the docs explains how to avoid them and directly load the cached version.",
"Thanks - that works! However it doesn't resolve the origina... | 2023-07-14 09:03:10 | 2023-07-14 14:48:29 | 2023-07-14 14:48:29 | null | NONE | [] | null | null | null | null | ### Describe the bug
load_dataset simply hangs. It happens once every ~5 times, and interestingly hangs for a multiple of 5 minutes (hangs for 5/10/15 minutes). Using the profiler in PyCharm shows that it spends the time at <method 'connect' of '_socket.socket' objects>. However, a local cache is available so I am not... | {
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https://api.github.com/repos/huggingface/datasets/issues/6033 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6033/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6033/comments | https://api.github.com/repos/huggingface/datasets/issues/6033/events | https://github.com/huggingface/datasets/issues/6033 | 1,804,482,051 | I_kwDODunzps5rjjYD | 6,033 | `map` function doesn't fully utilize `input_columns`. | {
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I wanted to select only some columns of data.
And I thought that's why the argument `input_columns` exists.
What I expected is like this:
If there are ["a", "b", "c", "d"] columns, and if I set `input_columns=["a", "d"]`, the data will have only ["a", "d"] columns.
But it doesn't select co... | {
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https://api.github.com/repos/huggingface/datasets/issues/6032 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6032/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6032/comments | https://api.github.com/repos/huggingface/datasets/issues/6032/events | https://github.com/huggingface/datasets/issues/6032 | 1,804,358,679 | I_kwDODunzps5rjFQX | 6,032 | DownloadConfig.proxies not work when load_dataset_builder calling HfApi.dataset_info | {
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"`HfApi` comes from the `huggingface_hub` package. You can use [this](https://huggingface.co/docs/huggingface_hub/v0.16.3/en/package_reference/utilities#huggingface_hub.configure_http_backend) utility to change the `huggingface_hub`'s `Session` proxies (see the example).\r\n\r\nWe plan to implement https://github.c... | 2023-07-14 07:22:55 | 2023-09-11 13:50:41 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
```python
download_config = DownloadConfig(proxies={'https': '<my proxy>'})
builder = load_dataset_builder(..., download_config=download_config)
```
But, when getting the dataset_info from HfApi, the http requests not using the proxies.
### Steps to reproduce the bug
1. Setup proxies i... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6031 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6031/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6031/comments | https://api.github.com/repos/huggingface/datasets/issues/6031/events | https://github.com/huggingface/datasets/issues/6031 | 1,804,183,858 | I_kwDODunzps5riaky | 6,031 | Argument type for map function changes when using `input_columns` for `IterableDataset` | {
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"Yes, this is intended."
] | 2023-07-14 05:11:14 | 2023-07-14 14:44:15 | 2023-07-14 14:44:15 | null | NONE | [] | null | null | null | null | ### Describe the bug
I wrote `tokenize(examples)` function as an argument for `map` function for `IterableDataset`.
It process dictionary type `examples` as a parameter.
It is used in `train_dataset = train_dataset.map(tokenize, batched=True)`
No error is raised.
And then, I found some unnecessary keys and val... | {
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https://api.github.com/repos/huggingface/datasets/issues/6025 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6025/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6025/comments | https://api.github.com/repos/huggingface/datasets/issues/6025/events | https://github.com/huggingface/datasets/issues/6025 | 1,801,852,601 | I_kwDODunzps5rZha5 | 6,025 | Using a dataset for a use other than it was intended for. | {
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"I've opened a PR with a fix. In the meantime, you can avoid the error by deleting `task_templates` with `dataset.info.task_templates = None` before the `interleave_datasets` call.\r\n` "
] | 2023-07-12 22:33:17 | 2023-07-13 13:57:36 | 2023-07-13 13:57:36 | null | NONE | [] | null | null | null | null | ### Describe the bug
Hi, I want to use the rotten tomatoes dataset but for a task other than classification, but when I interleave the dataset, it throws ```'ValueError: Column label is not present in features.'```. It seems that the label_col must be there in the dataset for some reason?
Here is the full stacktra... | {
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https://api.github.com/repos/huggingface/datasets/issues/6022 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6022/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6022/comments | https://api.github.com/repos/huggingface/datasets/issues/6022/events | https://github.com/huggingface/datasets/issues/6022 | 1,800,092,589 | I_kwDODunzps5rSzut | 6,022 | Batch map raises TypeError: '>=' not supported between instances of 'NoneType' and 'int' | {
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"Thanks for reporting! I've opened a PR with a fix."
] | 2023-07-12 03:20:17 | 2023-07-12 16:18:06 | 2023-07-12 16:18:05 | null | NONE | [] | null | null | null | null | ### Describe the bug
When mapping some datasets with `batched=True`, datasets may raise an exeception:
```python
Traceback (most recent call last):
File "/Users/codingl2k1/Work/datasets/venv/lib/python3.11/site-packages/multiprocess/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6020 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6020/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6020/comments | https://api.github.com/repos/huggingface/datasets/issues/6020/events | https://github.com/huggingface/datasets/issues/6020 | 1,799,720,536 | I_kwDODunzps5rRY5Y | 6,020 | Inconsistent "The features can't be aligned" error when combining map, multiprocessing, and variable length outputs | {
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"This scenario currently requires explicitly passing the target features (to avoid the error): \r\n```python\r\nimport datasets\r\n\r\n...\r\n\r\nfeatures = dataset.features\r\nfeatures[\"output\"] = = [{\"test\": datasets.Value(\"int64\")}]\r\ntest2 = dataset.map(lambda row, idx: test_func(row, idx), with_indices=... | 2023-07-11 20:40:38 | 2024-10-27 06:30:13 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I'm using a dataset with map and multiprocessing to run a function that returned a variable length list of outputs. This output list may be empty. Normally this is handled fine, but there is an edge case that crops up when using multiprocessing. In some cases, an empty list result ends up in a dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6017 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6017/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6017/comments | https://api.github.com/repos/huggingface/datasets/issues/6017/events | https://github.com/huggingface/datasets/issues/6017 | 1,799,309,132 | I_kwDODunzps5rP0dM | 6,017 | Switch to huggingface_hub's HfFileSystem | {
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related to https://github.com/huggingface/datasets/issues/5846 and https://github.com/huggingface/datasets/pull/5919 | {
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https://api.github.com/repos/huggingface/datasets/issues/6014 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6014/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6014/comments | https://api.github.com/repos/huggingface/datasets/issues/6014/events | https://github.com/huggingface/datasets/issues/6014 | 1,798,213,816 | I_kwDODunzps5rLpC4 | 6,014 | Request to Share/Update Dataset Viewer Code | {
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"Hi ! The huggingface/dataset-viewer code was not maintained anymore because we switched to a new dataset viewer that is deployed available for each dataset the Hugging Face website.\r\n\r\nWhat are you using this old repository for ?",
"I think these parts are outdated:\r\n\r\n* https://github.com/huggingface/da... | 2023-07-11 06:36:09 | 2024-07-20 07:29:08 | 2023-09-25 12:01:17 | null | NONE | [] | null | null | null | null |
Overview:
The repository (huggingface/datasets-viewer) was recently archived and when I tried to run the code, there was the error message "AttributeError: module 'datasets.load' has no attribute 'prepare_module'". I could not resolve the issue myself due to lack of documentation of that attribute.
Request:
I k... | {
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https://api.github.com/repos/huggingface/datasets/issues/6013 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6013/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6013/comments | https://api.github.com/repos/huggingface/datasets/issues/6013/events | https://github.com/huggingface/datasets/issues/6013 | 1,796,083,437 | I_kwDODunzps5rDg7t | 6,013 | [FR] `map` should reuse unchanged columns from the previous dataset to avoid disk usage | {
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"You can use the `remove_columns` parameter in `map` to avoid duplicating the columns (and save disk space) and then concatenate the original dataset with the map result:\r\n```python\r\nfrom datasets import concatenate_datasets\r\n# dummy example\r\nds_new = ds.map(lambda x: {\"new_col\": x[\"col\"] + 2}, remove_c... | 2023-07-10 06:42:20 | 2025-06-19 06:30:38 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Currently adding a new column with `map` will cause all the data in the dataset to be duplicated and stored/cached on the disk again. It should reuse unchanged columns.
### Motivation
This allows having datasets with different columns but sharing some basic columns. Currently, these datasets wou... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6012 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6012/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6012/comments | https://api.github.com/repos/huggingface/datasets/issues/6012/events | https://github.com/huggingface/datasets/issues/6012 | 1,795,575,432 | I_kwDODunzps5rBk6I | 6,012 | [FR] Transform Chaining, Lazy Mapping | {
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"You can use `with_transform` to get a new dataset object.\r\n\r\nSupport for lazy `map` has already been discussed [here](https://github.com/huggingface/datasets/issues/3385) a little bit. Personally, I'm not a fan, as this would make `map` even more complex. ",
"> You can use `with_transform` to get a new datas... | 2023-07-09 21:40:21 | 2025-01-20 14:06:28 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Currently using a `map` call processes and duplicates the whole dataset, which takes both time and disk space.
The solution is to allow lazy mapping, which is essentially a saved chain of transforms that are applied on the fly whenever a slice of the dataset is requested.
The API should look ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6011 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6011/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6011/comments | https://api.github.com/repos/huggingface/datasets/issues/6011/events | https://github.com/huggingface/datasets/issues/6011 | 1,795,296,568 | I_kwDODunzps5rAg04 | 6,011 | Documentation: wiki_dpr Dataset has no metric_type for Faiss Index | {
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"Hi! You can do `ds.get_index(\"embeddings\").faiss_index.metric_type` to get the metric type and then match the result with the FAISS metric [enum](https://github.com/facebookresearch/faiss/blob/43d86e30736ede853c384b24667fc3ab897d6ba9/faiss/MetricType.h#L22-L36) (should be L2).",
"Ah! Thank you for pointing thi... | 2023-07-09 08:30:19 | 2023-07-11 03:02:36 | 2023-07-11 03:02:36 | null | NONE | [] | null | null | null | null | ### Describe the bug
After loading `wiki_dpr` using:
```py
ds = load_dataset(path='wiki_dpr', name='psgs_w100.multiset.compressed', split='train')
print(ds.get_index("embeddings").metric_type) # prints nothing because the value is None
```
the index does not have a defined `metric_type`. This is an issue because ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6010 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6010/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6010/comments | https://api.github.com/repos/huggingface/datasets/issues/6010/events | https://github.com/huggingface/datasets/issues/6010 | 1,793,838,152 | I_kwDODunzps5q68xI | 6,010 | Improve `Dataset`'s string representation | {
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"I want to take a shot at this if possible ",
"Yes, feel free to work on this.\r\n\r\nYou can check the PyArrow Table `__repr__` and Polars DataFrame `__repr__`/`_repr_html_` implementations for some pointers/ideas.",
"@mariosasko are there any other similar issues that I could work on? I see this has been alr... | 2023-07-07 16:38:03 | 2023-09-01 03:45:07 | null | null | COLLABORATOR | [] | null | null | null | null | Currently, `Dataset.__repr__` outputs a dataset's column names and the number of rows. We could improve it by printing its features and the first few rows.
We should also implement `_repr_html_` to have a rich HTML representation in notebooks/Streamlit. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6008 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6008/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6008/comments | https://api.github.com/repos/huggingface/datasets/issues/6008/events | https://github.com/huggingface/datasets/issues/6008 | 1,789,869,344 | I_kwDODunzps5qrz0g | 6,008 | Dataset.from_generator consistently freezes at ~1000 rows | {
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"By default, we write data to disk (so it can be memory-mapped) every 1000 rows/samples. You can control this with the `writer_batch_size` parameter. Also, when working with fixed-size arrays, the `ArrayXD` feature types yield better performance (e.g., in your case, `features=datasets.Features({\"i\": datasets.Arra... | 2023-07-05 16:06:48 | 2023-07-10 13:46:39 | 2023-07-10 13:46:39 | null | NONE | [] | null | null | null | null | ### Describe the bug
Whenever I try to create a dataset which contains images using `Dataset.from_generator`, it freezes around 996 rows. I suppose it has something to do with memory consumption, but there's more memory available. I
Somehow it worked a few times but mostly this makes the datasets library much more ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6007 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6007/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6007/comments | https://api.github.com/repos/huggingface/datasets/issues/6007/events | https://github.com/huggingface/datasets/issues/6007 | 1,789,782,693 | I_kwDODunzps5qreql | 6,007 | Get an error "OverflowError: Python int too large to convert to C long" when loading a large dataset | {
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"This error means that one of the int32 (`Value(\"int32\")`) columns in the dataset has a value that is out of the valid (int32) range.\r\n\r\nI'll open a PR to print the name of a problematic column to make debugging such errors easier.",
"I am afraid int32 is not the reason for this error.\r\n\r\nI have submitt... | 2023-07-05 15:16:50 | 2024-02-07 22:22:35 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
When load a large dataset with the following code
```python
from datasets import load_dataset
dataset = load_dataset("liwu/MNBVC", 'news_peoples_daily', split='train')
```
We encountered the error: "OverflowError: Python int too large to convert to C long"
The error look something like... | null | {
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