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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type timestamp[s] to null
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp>
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1948, in array_cast
raise TypeError(f"Couldn't cast array of type {_short_str(array.type)} to {_short_str(pa_type)}")
TypeError: Couldn't cast array of type timestamp[s] to null
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1438, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
url string | repository_url string | labels_url string | comments_url string | events_url string | html_url string | id int64 | node_id string | number int64 | title string | user dict | labels list | state string | locked bool | assignee null | assignees sequence | milestone null | comments int64 | created_at timestamp[us] | updated_at timestamp[us] | closed_at null | author_association string | sub_issues_summary dict | active_lock_reason null | draft bool | pull_request dict | body string | closed_by null | reactions dict | timeline_url string | performed_via_github_app null | state_reason null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://api.github.com/repos/huggingface/datasets/issues/7426 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7426/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7426/comments | https://api.github.com/repos/huggingface/datasets/issues/7426/events | https://github.com/huggingface/datasets/pull/7426 | 2,883,754,507 | PR_kwDODunzps6Mwe6B | 7,426 | fix: None default with bool type on load creates typing error | {
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} | Hello!
Pyright flags any use of `load_dataset` as an error, because the default for `trust_remote_code` is `None`, but the function is typed as `bool`, not `Optional[bool]`. I changed the type and docstrings to reflect this, but no other code was touched.
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https://api.github.com/repos/huggingface/datasets/issues/7425 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7425/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7425/comments | https://api.github.com/repos/huggingface/datasets/issues/7425/events | https://github.com/huggingface/datasets/issues/7425 | 2,883,684,686 | I_kwDODunzps6r4YlO | 7,425 | load_dataset("livecodebench/code_generation_lite", version_tag="release_v2") TypeError: 'NoneType' object is not callable | {
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} | null | null | null | ### Describe the bug
from datasets import load_dataset
lcb_codegen = load_dataset("livecodebench/code_generation_lite", version_tag="release_v2")
or
configs = get_dataset_config_names("livecodebench/code_generation_lite", trust_remote_code=True)
both error:
Traceback (most recent call last):
File "", line 1, in
File... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7424 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7424/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7424/comments | https://api.github.com/repos/huggingface/datasets/issues/7424/events | https://github.com/huggingface/datasets/pull/7424 | 2,882,663,621 | PR_kwDODunzps6Ms1Qx | 7,424 | Faster folder based builder + parquet support + allow repeated media | {
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} | This will be useful for LeRobotDataset (robotics datasets for [lerobot](https://github.com/huggingface/lerobot) based on videos)
Impacted builders:
- ImageFolder
- AudioFolder
- VideoFolder
Improvements:
- faster to stream (got a 5x speed up on an image dataset)
- improved RAM usage
- support for metadata.p... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7423 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7423/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7423/comments | https://api.github.com/repos/huggingface/datasets/issues/7423/events | https://github.com/huggingface/datasets/issues/7423 | 2,879,271,409 | I_kwDODunzps6rnjHx | 7,423 | Row indexing a dataset with numpy integers | {
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"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] | open | false | null | [] | null | 0 | 2025-02-25T18:44:45 | 2025-02-25T18:44:45 | null | NONE | {
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} | null | null | null | ### Feature request
Allow indexing datasets with a scalar numpy integer type.
### Motivation
Indexing a dataset with a scalar numpy.int* object raises a TypeError. This is due to the test in `datasets/formatting/formatting.py:key_to_query_type`
``` python
def key_to_query_type(key: Union[int, slice, range, str, Ite... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7421 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7421/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7421/comments | https://api.github.com/repos/huggingface/datasets/issues/7421/events | https://github.com/huggingface/datasets/issues/7421 | 2,878,369,052 | I_kwDODunzps6rkG0c | 7,421 | DVC integration broken | {
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} | null | null | null | ### Describe the bug
The DVC integration seems to be broken.
Followed this guide: https://dvc.org/doc/user-guide/integrations/huggingface
### Steps to reproduce the bug
#### Script to reproduce
~~~python
from datasets import load_dataset
dataset = load_dataset(
"csv",
data_files="dvc://workshop/satellite-d... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7420 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7420/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7420/comments | https://api.github.com/repos/huggingface/datasets/issues/7420/events | https://github.com/huggingface/datasets/issues/7420 | 2,876,281,928 | I_kwDODunzps6rcJRI | 7,420 | better correspondence between cached and saved datasets created using from_generator | {
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"color": "a2eeef",
"default": true,
"description": "New feature or request"
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] | open | false | null | [] | null | 0 | 2025-02-24T22:14:37 | 2025-02-26T03:10:22 | null | CONTRIBUTOR | {
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} | null | null | null | ### Feature request
At the moment `.from_generator` can only create a dataset that lives in the cache. The cached dataset cannot be loaded with `load_from_disk` because the cache folder is missing `state.json`. So the only way to convert this cached dataset to a regular is to use `save_to_disk` which needs to create a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7419 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7419/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7419/comments | https://api.github.com/repos/huggingface/datasets/issues/7419/events | https://github.com/huggingface/datasets/issues/7419 | 2,875,635,320 | I_kwDODunzps6rZrZ4 | 7,419 | Import order crashes script execution | {
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} | null | null | null | ### Describe the bug
Hello,
I'm trying to convert an HF dataset into a TFRecord so I'm importing `tensorflow` and `datasets` to do so.
Depending in what order I'm importing those librairies, my code hangs forever and is unkillable (CTRL+C doesn't work, I need to kill my shell entirely).
Thank you for your help
🙏
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7418/comments | https://api.github.com/repos/huggingface/datasets/issues/7418/events | https://github.com/huggingface/datasets/issues/7418 | 2,868,701,471 | I_kwDODunzps6q_Okf | 7,418 | pyarrow.lib.arrowinvalid: cannot mix list and non-list, non-null values with map function | {
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"followers_url": "https://api.github.com/users/... | [] | open | false | null | [] | null | 4 | 2025-02-21T10:58:06 | 2025-02-25T15:26:46 | null | NONE | {
"total": 0,
"completed": 0,
"percent_completed": 0
} | null | null | null | ### Describe the bug
Encounter pyarrow.lib.arrowinvalid error with map function in some example when loading the dataset
### Steps to reproduce the bug
```
from datasets import load_dataset
from PIL import Image, PngImagePlugin
dataset = load_dataset("leonardPKU/GEOQA_R1V_Train_8K")
system_prompt="You are a helpful... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7417 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7417/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7417/comments | https://api.github.com/repos/huggingface/datasets/issues/7417/events | https://github.com/huggingface/datasets/pull/7417 | 2,866,868,922 | PR_kwDODunzps6L78k3 | 7,417 | set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7416 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7416/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7416/comments | https://api.github.com/repos/huggingface/datasets/issues/7416/events | https://github.com/huggingface/datasets/pull/7416 | 2,866,862,143 | PR_kwDODunzps6L77G2 | 7,416 | Release: 3.3.2 | {
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https://api.github.com/repos/huggingface/datasets/issues/7415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7415/comments | https://api.github.com/repos/huggingface/datasets/issues/7415/events | https://github.com/huggingface/datasets/issues/7415 | 2,865,774,546 | I_kwDODunzps6q0D_S | 7,415 | Shard Dataset at specific indices | {
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} | null | null | null | I have a dataset of sequences, where each example in the sequence is a separate row in the dataset (similar to LeRobotDataset). When running `Dataset.save_to_disk` how can I provide indices where it's possible to shard the dataset such that no episode spans more than 1 shard. Consequently, when I run `Dataset.load_from... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7414 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7414/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7414/comments | https://api.github.com/repos/huggingface/datasets/issues/7414/events | https://github.com/huggingface/datasets/pull/7414 | 2,863,798,756 | PR_kwDODunzps6LxjsH | 7,414 | Gracefully cancel async tasks | {
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https://api.github.com/repos/huggingface/datasets/issues/7413 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7413/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7413/comments | https://api.github.com/repos/huggingface/datasets/issues/7413/events | https://github.com/huggingface/datasets/issues/7413 | 2,860,947,582 | I_kwDODunzps6qhph- | 7,413 | Documentation on multiple media files of the same type with WebDataset | {
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} | null | null | null | The [current documentation](https://huggingface.co/docs/datasets/en/video_dataset) on a creating a video dataset includes only examples with one media file and one json. It would be useful to have examples where multiple files of the same type are included. For example, in a sign language dataset, you may have a base v... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7412 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7412/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7412/comments | https://api.github.com/repos/huggingface/datasets/issues/7412/events | https://github.com/huggingface/datasets/issues/7412 | 2,859,433,710 | I_kwDODunzps6qb37u | 7,412 | Index Error Invalid Ket is out of bounds for size 0 for code-search-net/code_search_net dataset | {
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I am trying to do model pruning on sentence-transformers/all-mini-L6-v2 for the code-search-net/code_search_net dataset using INCTrainer class
However I am getting below error
```
raise IndexError(f"Invalid Key: {key is our of bounds for size {size}")
IndexError: Invalid key: 1840208 is out of b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7411 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7411/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7411/comments | https://api.github.com/repos/huggingface/datasets/issues/7411/events | https://github.com/huggingface/datasets/pull/7411 | 2,858,993,390 | PR_kwDODunzps6LhV0Z | 7,411 | Attempt to fix multiprocessing hang by closing and joining the pool before termination | {
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"merged_at": "2025-02-19T13:40... | https://github.com/huggingface/datasets/issues/6393 has plagued me on and off for a very long time. I have had various workarounds (one time combining two filter calls into one filter call removed the issue, another time making rank 0 go first resolved a cache race condition, one time i think upgrading the version of s... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7410 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7410/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7410/comments | https://api.github.com/repos/huggingface/datasets/issues/7410/events | https://github.com/huggingface/datasets/pull/7410 | 2,858,085,707 | PR_kwDODunzps6LeQBF | 7,410 | Set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/7409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7409/comments | https://api.github.com/repos/huggingface/datasets/issues/7409/events | https://github.com/huggingface/datasets/pull/7409 | 2,858,079,508 | PR_kwDODunzps6LeOpY | 7,409 | Release: 3.3.1 | {
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https://api.github.com/repos/huggingface/datasets/issues/7408 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7408/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7408/comments | https://api.github.com/repos/huggingface/datasets/issues/7408/events | https://github.com/huggingface/datasets/pull/7408 | 2,858,012,313 | PR_kwDODunzps6Ld_-m | 7,408 | Fix filter speed regression | {
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"merged_at": "2025-02-17T14:28... | close https://github.com/huggingface/datasets/issues/7404 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7407/comments | https://api.github.com/repos/huggingface/datasets/issues/7407/events | https://github.com/huggingface/datasets/pull/7407 | 2,856,517,442 | PR_kwDODunzps6LY7y5 | 7,407 | Update use_with_pandas.mdx: to_pandas() correction in last section | {
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https://api.github.com/repos/huggingface/datasets/issues/7406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7406/comments | https://api.github.com/repos/huggingface/datasets/issues/7406/events | https://github.com/huggingface/datasets/issues/7406 | 2,856,441,206 | I_kwDODunzps6qQdV2 | 7,406 | Adding Core Maintainer List to CONTRIBUTING.md | {
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} | null | null | null | ### Feature request
I propose adding a core maintainer list to the `CONTRIBUTING.md` file.
### Motivation
The Transformers and Liger-Kernel projects maintain lists of core maintainers for each module.
However, the Datasets project doesn't have such a list.
### Your contribution
I have nothing to add here. | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7405/comments | https://api.github.com/repos/huggingface/datasets/issues/7405/events | https://github.com/huggingface/datasets/issues/7405 | 2,856,372,814 | I_kwDODunzps6qQMpO | 7,405 | Lazy loading of environment variables | {
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} | null | null | null | ### Describe the bug
Loading a `.env` file after an `import datasets` call does not correctly use the environment variables.
This is due the fact that environment variables are read at import time:
https://github.com/huggingface/datasets/blob/de062f0552a810c52077543c1169c38c1f0c53fc/src/datasets/config.py#L155C1-L15... | null | {
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"total": 0,
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} | null | null | null | ### Describe the bug
We're filtering dataset of ~1M (small-ish) records. At some point in the code we do `dataset.filter`, before (including 3.2.0) it was taking couple of seconds, and now it takes 4 hours.
We use 16 threads/workers, and stack trace at them look as follows:
```
Traceback (most recent call last):
Fi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7399/comments | https://api.github.com/repos/huggingface/datasets/issues/7399/events | https://github.com/huggingface/datasets/issues/7399 | 2,853,098,442 | I_kwDODunzps6qDtPK | 7,399 | Synchronize parameters for various datasets | {
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"total": 0,
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} | null | null | null | ### Describe the bug
[IterableDatasetDict](https://huggingface.co/docs/datasets/v3.2.0/en/package_reference/main_classes#datasets.IterableDatasetDict.map) map function is missing the `desc` parameter. You can see the equivalent map function for [Dataset here](https://huggingface.co/docs/datasets/v3.2.0/en/package_refe... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7400/comments | https://api.github.com/repos/huggingface/datasets/issues/7400/events | https://github.com/huggingface/datasets/issues/7400 | 2,853,201,277 | I_kwDODunzps6qEGV9 | 7,400 | 504 Gateway Timeout when uploading large dataset to Hugging Face Hub | {
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"total": 0,
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I encountered consistent 504 Gateway Timeout errors while attempting to upload a large dataset (approximately 500GB) to the Hugging Face Hub. The upload fails during the process with a Gateway Timeout error.
I will continue trying to upload. While it might succeed in future attempts, I wanted to report... | null | {
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"merged_at": "2025-02-13T17:20... | - update min python version
- replace canonical dataset names with new names
- avoid examples with trust_remote_code | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7394 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7394/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7394/comments | https://api.github.com/repos/huggingface/datasets/issues/7394/events | https://github.com/huggingface/datasets/issues/7394 | 2,847,172,115 | I_kwDODunzps6ptGYT | 7,394 | Using load_dataset with data_files and split arguments yields an error | {
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} | null | null | null | ### Describe the bug
It seems the list of valid splits recorded by the package becomes incorrectly overwritten when using the `data_files` argument.
If I run
```python
from datasets import load_dataset
load_dataset("allenai/super", split="all_examples", data_files="tasks/expert.jsonl")
```
then I get the error
```
Va... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7393 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7393/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7393/comments | https://api.github.com/repos/huggingface/datasets/issues/7393/events | https://github.com/huggingface/datasets/pull/7393 | 2,846,446,674 | PR_kwDODunzps6K3DiZ | 7,393 | Optimized sequence encoding for scalars | {
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https://api.github.com/repos/huggingface/datasets/issues/7392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7392/comments | https://api.github.com/repos/huggingface/datasets/issues/7392/events | https://github.com/huggingface/datasets/issues/7392 | 2,846,095,043 | I_kwDODunzps6po_bD | 7,392 | push_to_hub payload too large error when using large ClassLabel feature | {
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} | null | null | null | ### Describe the bug
When using `datasets.DatasetDict.push_to_hub` an `HfHubHTTPError: 413 Client Error: Payload Too Large for url` is raised if the dataset contains a large `ClassLabel` feature. Even if the total size of the dataset is small.
### Steps to reproduce the bug
``` python
import random
import sys
impor... | null | {
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} | null | null | null | ### Feature request
The motivation for removing py.typed no longer seems to apply. Would a solution like [this one](https://github.com/huggingface/huggingface_hub/pull/2752) work here?
### Motivation
MyPy support is broken. As more type checkers come out, such as RedKnot, these may also be broken. It would be goo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7389 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7389/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7389/comments | https://api.github.com/repos/huggingface/datasets/issues/7389/events | https://github.com/huggingface/datasets/issues/7389 | 2,843,592,606 | I_kwDODunzps6pfcee | 7,389 | Getting statistics about filtered examples | {
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Currently when processing datasets some examples are bound to get filtered out, whether it's due to bad format, or length is too long, or any other custom filters that might be getting applied. Let's just focus on the filter by... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7388/comments | https://api.github.com/repos/huggingface/datasets/issues/7388/events | https://github.com/huggingface/datasets/issues/7388 | 2,843,188,499 | I_kwDODunzps6pd50T | 7,388 | OSError: [Errno 22] Invalid argument forbidden character | {
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} | null | null | null | ### Describe the bug
I'm on Windows and i'm trying to load a datasets but i'm having title error because files in the repository are named with charactere like < >which can't be in a name file. Could it be possible to load this datasets but removing those charactere ?
### Steps to reproduce the bug
load_dataset("CAT... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7387 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7387/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7387/comments | https://api.github.com/repos/huggingface/datasets/issues/7387/events | https://github.com/huggingface/datasets/issues/7387 | 2,841,228,048 | I_kwDODunzps6pWbMQ | 7,387 | Dynamic adjusting dataloader sampling weight | {
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Thanks for your wonderful work! I'm wondering is there a way to dynamically adjust the sampling weight of each data in the dataset during training? Looking forward to your reply, thanks again. | null | {
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} | null | null | null | ### Feature request
This feature proposes adding a new dataset builder called bookfolder to the datasets library. This builder would allow users to easily load datasets consisting of various digital book formats, including: AZW, AZW3, CB7, CBR, CBT, CBZ, EPUB, MOBI, and PDF.
### Motivation
Currently, loading dataset... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7385 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7385/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7385/comments | https://api.github.com/repos/huggingface/datasets/issues/7385/events | https://github.com/huggingface/datasets/pull/7385 | 2,830,664,522 | PR_kwDODunzps6KBO6i | 7,385 | Make IterableDataset (optionally) resumable | {
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} | ### What does this PR do?
This PR introduces a new `stateful` option to the `dataset.shuffle` method, which defaults to `False`.
When enabled, this option allows for resumable shuffling of `IterableDataset` instances, albeit with some additional memory overhead.
Key points:
* All tests have passed
* Docstrings ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7384 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7384/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7384/comments | https://api.github.com/repos/huggingface/datasets/issues/7384/events | https://github.com/huggingface/datasets/pull/7384 | 2,828,208,828 | PR_kwDODunzps6J4wVi | 7,384 | Support async functions in map() | {
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"merged_at": "2025-02-13T14:00... | e.g. to download images or call an inference API like HF or vLLM
```python
import asyncio
import random
from datasets import Dataset
async def f(x):
await asyncio.sleep(random.random())
ds = Dataset.from_dict({"data": range(100)})
ds.map(f)
# Map: 100%|█████████████████████████████| 100/100 [00:0... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7382 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7382/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7382/comments | https://api.github.com/repos/huggingface/datasets/issues/7382/events | https://github.com/huggingface/datasets/pull/7382 | 2,823,480,924 | PR_kwDODunzps6Jo69f | 7,382 | Add Pandas, PyArrow and Polars docs | {
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} | null | null | null | ### Feature request
I would like to be able to iterate (and re-iterate if needed) over a column of an `IterableDataset` instance. The following example shows the supposed API:
```
def gen():
yield {"text": "Good", "label": 0}
yield {"text": "Bad", "label": 1}
ds = IterableDataset.from_generator(gen)
texts = d... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7380 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7380/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7380/comments | https://api.github.com/repos/huggingface/datasets/issues/7380/events | https://github.com/huggingface/datasets/pull/7380 | 2,811,566,116 | PR_kwDODunzps6JAkj5 | 7,380 | fix: dill default for version bigger 0.3.8 | {
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https://api.github.com/repos/huggingface/datasets/issues/7378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7378/comments | https://api.github.com/repos/huggingface/datasets/issues/7378/events | https://github.com/huggingface/datasets/issues/7378 | 2,802,957,388 | I_kwDODunzps6nEbxM | 7,378 | Allow pushing config version to hub | {
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} | null | null | null | ### Feature request
Currently, when datasets are created, they can be versioned by passing the `version` argument to `load_dataset(...)`. For example creating `outcomes.csv` on the command line
```
echo "id,value\n1,0\n2,0\n3,1\n4,1\n" > outcomes.csv
```
and creating it
```
import datasets
dataset = datasets.load_dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7377 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7377/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7377/comments | https://api.github.com/repos/huggingface/datasets/issues/7377/events | https://github.com/huggingface/datasets/issues/7377 | 2,802,723,285 | I_kwDODunzps6nDinV | 7,377 | Support for sparse arrays with the Arrow Sparse Tensor format? | {
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} | null | null | null | ### Feature request
AI in biology is becoming a big thing. One thing that would be a huge benefit to the field that Huggingface Datasets doesn't currently have is native support for **sparse arrays**.
Arrow has support for sparse tensors.
https://arrow.apache.org/docs/format/Other.html#sparse-tensor
It would be ... | null | {
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} | null | null | null | ### Describe the bug

### Steps to reproduce the bug

### Expected behavior
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When loading a dataset from disk, concatenating it, and starting the training process, the RAM usage progressively increases until the kernel terminates the process due to excessive memory consumption.
https://github.com/huggingface/datasets/issues/2276
### Steps to reproduce the bug
```
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End of preview.
Dataset Name: huggingface_dataset_github_repo
Description : This dataset contains structured issue data, extracted from GitHub repositories. It is useful for text classification , issue summarization etc
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