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https://api.github.com/repos/huggingface/datasets/issues/6439 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6439/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6439/comments | https://api.github.com/repos/huggingface/datasets/issues/6439/events | https://github.com/huggingface/datasets/issues/6439 | 2,002,916,514 | I_kwDODunzps53YhSi | 6,439 | Download + preparation speed of datasets.load_dataset is 20x slower than huggingface hub snapshot and manual loding | {
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I am working with a dataset I am trying to publish.
The path is Antreas/TALI.
It's a fairly large dataset, and contains images, video, audio and text.
I have been having multiple problems when the dataset is being downloaded using the load_dataset function -- even with 64 workers takin... | {
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https://api.github.com/repos/huggingface/datasets/issues/6438 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6438/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6438/comments | https://api.github.com/repos/huggingface/datasets/issues/6438/events | https://github.com/huggingface/datasets/issues/6438 | 2,002,032,804 | I_kwDODunzps53VJik | 6,438 | Support GeoParquet | {
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"Thank you, @severo ! I would be more than happy to help in any way I can. I am not familiar with this repo's codebase, but I would be eager to contribute. :)\r\n\r\nFor the preview in Datasets Hub, I think it makes sense to just display the geospatial column as text. If there were a dataset loader, though, I think... | 2023-11-20T11:54:58 | 2023-11-20T14:10:23 | null | CONTRIBUTOR | null | ### Feature request
Support the GeoParquet format
### Motivation
GeoParquet (https://geoparquet.org/) is a common format for sharing vectorial geospatial data on the cloud, along with "traditional" data columns.
It would be nice to be able to load this format with datasets, and more generally, in the Datasets Hub... | {
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https://api.github.com/repos/huggingface/datasets/issues/6437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6437/comments | https://api.github.com/repos/huggingface/datasets/issues/6437/events | https://github.com/huggingface/datasets/issues/6437 | 2,001,272,606 | I_kwDODunzps53SP8e | 6,437 | Problem in training iterable dataset | {
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I am using PyTorch DDP (Distributed Data Parallel) to train my model. Since the data is too large to load into memory at once, I am using load_dataset to read the data as an iterable dataset. I have used datasets.distributed.split_dataset_by_node to distribute the dataset. However, I have notice... | {
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https://api.github.com/repos/huggingface/datasets/issues/6436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6436/comments | https://api.github.com/repos/huggingface/datasets/issues/6436/events | https://github.com/huggingface/datasets/issues/6436 | 2,000,844,474 | I_kwDODunzps53Qna6 | 6,436 | TypeError: <lambda>() takes 0 positional arguments but 1 was given | {
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```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
[<ipython-input-35-7b6becee3685>](https://localhost:8080/#) in <cell line: 1>()
----> 1 from datasets import Dataset
9 frames
[/usr/lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6435/comments | https://api.github.com/repos/huggingface/datasets/issues/6435/events | https://github.com/huggingface/datasets/issues/6435 | 2,000,690,513 | I_kwDODunzps53QB1R | 6,435 | Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method | {
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1. I ran dataset mapping with `num_proc=6` in it and got this error:
`RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method`
I can't actually find a way to run multi-GPU dataset mapping. Can you help?
### Steps to... | {
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https://api.github.com/repos/huggingface/datasets/issues/6434 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6434/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6434/comments | https://api.github.com/repos/huggingface/datasets/issues/6434/events | https://github.com/huggingface/datasets/pull/6434 | 1,999,554,915 | PR_kwDODunzps5fxgUO | 6,434 | Use `ruff` for formatting | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2023-11-17T16:53:22 | 2023-11-20T08:41:15 | null | CONTRIBUTOR | null | Use `ruff` instead of `black` for formatting to be consistent with `transformers` ([PR](https://github.com/huggingface/transformers/pull/27144)) and `huggingface_hub` ([PR 1](https://github.com/huggingface/huggingface_hub/pull/1783) and [PR 2](https://github.com/huggingface/huggingface_hub/pull/1789)). | {
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https://api.github.com/repos/huggingface/datasets/issues/6433 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6433/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6433/comments | https://api.github.com/repos/huggingface/datasets/issues/6433/events | https://github.com/huggingface/datasets/pull/6433 | 1,999,419,105 | PR_kwDODunzps5fxDoG | 6,433 | Better `tqdm` wrapper | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6433). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | 2023-11-17T15:45:15 | 2023-11-20T00:24:21 | null | CONTRIBUTOR | null | This PR aligns the `tqdm` logic with `huggingface_hub` (without introducing breaking changes), as the current one is error-prone.
Additionally, it improves the doc page about the `datasets`' utilities, and the handling of `fsspec` paths in `cached_path`.
Fix #6409 | {
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https://api.github.com/repos/huggingface/datasets/issues/6432 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6432/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6432/comments | https://api.github.com/repos/huggingface/datasets/issues/6432/events | https://github.com/huggingface/datasets/issues/6432 | 1,999,258,140 | I_kwDODunzps53KkIc | 6,432 | load_dataset does not load all of the data in my input file | {
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I have 127 elements in my input dataset. When I do a len on the dataset after loaded, it is only 124 elements.
### Steps to reproduce the bug
train_dataset = nlp.load_dataset(data_args.dataset_path, name=data_args.qg_format, split=nlp.Split.TRAIN)
valid_dataset = nlp.load_dataset(data_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6431 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6431/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6431/comments | https://api.github.com/repos/huggingface/datasets/issues/6431/events | https://github.com/huggingface/datasets/pull/6431 | 1,997,202,770 | PR_kwDODunzps5fpfos | 6,431 | Create DatasetNotFoundError and DataFilesNotFoundError | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2023-11-16T16:02:55 | 2023-11-21T01:43:12 | null | MEMBER | null | Create `DatasetNotFoundError` and `DataFilesNotFoundError`.
Fix #6397.
CC: @severo | {
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https://api.github.com/repos/huggingface/datasets/issues/6429 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6429/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6429/comments | https://api.github.com/repos/huggingface/datasets/issues/6429/events | https://github.com/huggingface/datasets/pull/6429 | 1,996,723,698 | PR_kwDODunzps5fn1r_ | 6,429 | Add trust_remote_code argument | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2023-11-16T12:12:54 | 2023-11-17T13:45:31 | null | MEMBER | null | Draft about adding `trust_remote_code` to `load_dataset`.
```python
ds = load_dataset(..., trust_remote_code=True) # run remote code (current default)
```
It would default to `True` (current behavior) and in the next major release it will prompt the user to check the code before running it (we'll communicate o... | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-11-16T07:37:20 | 2023-11-16T08:12:12 | 2023-11-16T07:43:05 | MEMBER | null | null | {
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