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closed | 2023-11-19T04:21:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/6435 | null | {
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"[This doc section](https://huggingface.co/docs/datasets/main/en/process#multiprocessing) explains how to modify the script to avoid this error.",
"@mariosasko thank you very much, i'll check it",
"@mariosasko no it does not\r\n\r\n`Dataset.filter() got an unexpected keyword argument 'with_rank'`"
] | completed | [] | Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method | NONE | https://api.github.com/repos/huggingface/datasets/issues/6435/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 2,000,690,513 | https://api.github.com/repos/huggingface/datasets/issues/6435/comments | I_kwDODunzps53QB1R | null | 6,435 | https://api.github.com/repos/huggingface/datasets/issues/6435/events | false |
closed | 2023-11-17T16:53:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/6434 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Better `tqdm` wrapper | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6433/timeline | 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 local `fsspec` paths in `cached_path`.
Fix #6409 | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-11-17T14:28:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/6432 | null | {
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"You should use `datasets.load_dataset` instead of `nlp.load_dataset`, as the `nlp` package is outdated.\r\n\r\nIf switching to `datasets.load_dataset` doesn't fix the issue, sharing the JSON file (feel free to replace the data with dummy data) would be nice so that we can reproduce it ourselves."
] | null | [] | load_dataset does not load all of the data in my input file | NONE | https://api.github.com/repos/huggingface/datasets/issues/6432/timeline | ### Describe the bug
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_... | https://api.github.com/repos/huggingface/datasets | null | 1,999,258,140 | https://api.github.com/repos/huggingface/datasets/issues/6432/comments | I_kwDODunzps53KkIc | null | 6,432 | https://api.github.com/repos/huggingface/datasets/issues/6432/events | false |
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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... | null | [] | Create DatasetNotFoundError and DataFilesNotFoundError | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6431/timeline | Create `DatasetNotFoundError` and `DataFilesNotFoundError`.
Fix #6397.
CC: @severo | https://api.github.com/repos/huggingface/datasets | {
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```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... | https://api.github.com/repos/huggingface/datasets | {
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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: benchma... | null | [] | More robust temporary directory deletion | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6426/timeline | While fixing the Windows errors in #6362, I noticed that `PermissionError` can still easily be thrown on the session exit by the temporary cache directory's finalizer (we would also have to keep track of intermediate datasets, copies, etc.). ~~Due to the low usage of `datasets` on Windows, this PR takes a simpler appro... | https://api.github.com/repos/huggingface/datasets | {
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```
/usr/share/miniconda/envs/build-datasets/bin/conda-build:11: DeprecationWarning: conda_build.cli.main_build.main is deprecated and will be removed in 4.0.0. Use `conda build` instead.
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6424). 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... | null | [] | [docs] troubleshooting guide | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6424/timeline | Hi all! This is a PR adding a troubleshooting guide for Datasets docs.
I went through the library's GitHub Issues and Forum questions and identified a few issues that are common enough that I think it would be valuable to include them in the troubleshooting guide. These are:
- creating a dataset from a folder and n... | https://api.github.com/repos/huggingface/datasets | {
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Note that conda release failed in latest 2.14.7 release: https://github.com/huggingface/datasets/actions/runs/6874667214/job/18696761723
```
Traceback (most recent call last):
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open | 2023-11-15T11:18:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/6422 | null | {
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"We have a config variable that controls the batch size in `save_to_disk`:\r\n```python\r\nimport datasets\r\ndatasets.config.DEFAULT_MAX_BATCH_SIZE = <smaller_batch_size>\r\n...\r\nds.save_to_disk(...)\r\n```",
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Add an argument in `save_to_disk` regarding batch size, which would be passed to `shard` and other methods.
### Motivation
The `Dataset.save_to_disk` method currently calls `shard` without passing a `writer_batch_size` argument, thus implicitly using the default value (1000). This can result in R... | https://api.github.com/repos/huggingface/datasets | null | 1,994,579,267 | https://api.github.com/repos/huggingface/datasets/issues/6422/comments | I_kwDODunzps524t1D | null | 6,422 | https://api.github.com/repos/huggingface/datasets/issues/6422/events | false |
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"Very strange: `datasets-cli env`\r\n> \r\n> Copy-and-paste the text below in your GitHub issue.\r\n> \r\n> - `datasets` version: 2.9.0\r\n> - Platform: macOS-14.0-arm64-arm-64bit\r\n> - Python version: 3.9.13\r\n> - PyArrow version: 8.0.0\r\n> - Pandas version: 1.3.5\r\n\r\nAfter updating datasets and pyarrow on b... | completed | [] | Bug: LayoutLMv3 finetuning on FUNSD Notebook; Arrow Error | NONE | https://api.github.com/repos/huggingface/datasets/issues/6417/timeline | ### Describe the bug
Arrow issues when running the example Notebook laptop locally on Mac with M1. Works on Google Collab.
**Notebook**: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb
**Error**: `ValueError: Arrow type extensi... | https://api.github.com/repos/huggingface/datasets | null | 1,993,149,416 | https://api.github.com/repos/huggingface/datasets/issues/6417/comments | I_kwDODunzps52zQvo | null | 6,417 | https://api.github.com/repos/huggingface/datasets/issues/6417/events | false |
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"Oh good catch. Can you also rename it in `src/datasets/tasks/__init__.py` ?",
"Fixed! \r\n\r\n(I think, tough word to spell right TBH)",
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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... | null | [] | Fix multi gpu map example | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6415/timeline | - use `orch.cuda.set_device` instead of `CUDA_VISIBLE_DEVICES `
- add `if __name__ == "__main__"`
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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... | null | [] | Set `usedforsecurity=False` in hashlib methods (FIPS compliance) | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6414/timeline | Related to https://github.com/huggingface/transformers/issues/27034 and https://github.com/huggingface/huggingface_hub/pull/1782.
**TL;DR:** `hashlib` is not a secure library for cryptography-related stuff. We are only using `hashlib` for non-security-related purposes in `datasets` so it's fine. From Python 3.9 we s... | https://api.github.com/repos/huggingface/datasets | {
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] | completed | [] | User token is printed out! | NONE | https://api.github.com/repos/huggingface/datasets/issues/6412/timeline | This line prints user token on command line! Is it safe?
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/load.py#L2091 | https://api.github.com/repos/huggingface/datasets | null | 1,992,401,594 | https://api.github.com/repos/huggingface/datasets/issues/6412/comments | I_kwDODunzps52waK6 | null | 6,412 | https://api.github.com/repos/huggingface/datasets/issues/6412/events | false |
closed | 2023-11-14T09:52:51Z | null | https://api.github.com/repos/huggingface/datasets/issues/6411 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | null | [] | Fix dependency conflict within CI build documentation | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6411/timeline | Manually fix dependency conflict on `typing-extensions` version originated by `apache-beam` + `pydantic` (now a dependency of `huggingface-hub`).
This is a temporary hot fix of our CI build documentation until we stop using `apache-beam`.
Fix #6406. | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-11-14T06:50:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/6410 | null | {
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"Hi! You can avoid the error by requesting only the `jsonl` files. `dataset = load_dataset(\"ai4privacy/pii-masking-200k\", data_files=[\"*.jsonl\"])`.\r\n\r\nOur data file inference does not filter out (incompatible) `json` files because `json` and `jsonl` use the same builder. Still, I think the inference should... | null | [] | Datasets does not load HuggingFace Repository properly | NONE | https://api.github.com/repos/huggingface/datasets/issues/6410/timeline | ### Describe the bug
Dear Datasets team,
We just have published a dataset on Huggingface:
https://huggingface.co/ai4privacy
However, when trying to read it using the Dataset library we get an error. As I understand jsonl files are compatible, could you please clarify how we can solve the issue? Please let me ... | https://api.github.com/repos/huggingface/datasets | null | 1,992,100,209 | https://api.github.com/repos/huggingface/datasets/issues/6410/comments | I_kwDODunzps52vQlx | null | 6,410 | https://api.github.com/repos/huggingface/datasets/issues/6410/events | false |
closed | 2023-11-14T04:21:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/6409 | null | {
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i'm using datasets.download.download_manager.DownloadManager to download files like "file:///a/b/c.txt", and i disable_progress_bar() to disable bar. there will be an exception as follows:
`AttributeError: 'function' object has no attribute 'close'
Exception ignored in: <function TqdmCallback.... | https://api.github.com/repos/huggingface/datasets | null | 1,991,960,865 | https://api.github.com/repos/huggingface/datasets/issues/6409/comments | I_kwDODunzps52uukh | null | 6,409 | https://api.github.com/repos/huggingface/datasets/issues/6409/events | false |
open | 2023-11-14T03:12:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/6408 | null | {
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IterableDataset lost but not keep columns when map function adding columns with names in remove_columns,
Dataset not.
May be related to the code below:
https://github.com/huggingface/datasets/blob/06c3ffb8d068b6307b247164b10f7c7311cefed4/src/datasets/iterable_dataset.py#L750-L756
### Steps t... | https://api.github.com/repos/huggingface/datasets | null | 1,991,902,972 | https://api.github.com/repos/huggingface/datasets/issues/6408/comments | I_kwDODunzps52ugb8 | null | 6,408 | https://api.github.com/repos/huggingface/datasets/issues/6408/events | false |
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I'm trying to read the parquet file from the private s3 bucket using the `load_dataset` function, but I receive `TypeError: cannot pickle '_contextvars.Context' object` error
I'm working on a machine with `~/.aws/credentials` file. I can't give credentials and the path to a file in a private bu... | https://api.github.com/repos/huggingface/datasets | null | 1,991,514,079 | https://api.github.com/repos/huggingface/datasets/issues/6407/comments | I_kwDODunzps52tBff | null | 6,407 | https://api.github.com/repos/huggingface/datasets/issues/6407/events | false |
closed | 2023-11-13T11:36:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/6406 | null | {
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```
ImportError: cannot import name 'TypeAliasType' from 'typing_extensions'
``` | https://api.github.com/repos/huggingface/datasets | null | 1,990,469,045 | https://api.github.com/repos/huggingface/datasets/issues/6406/comments | I_kwDODunzps52pCW1 | null | 6,406 | https://api.github.com/repos/huggingface/datasets/issues/6406/events | false |
closed | 2023-11-13T10:28:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/6405 | null | {
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"The viewer is working now. \r\n\r\nBased on the repo commit history, the bug was due to the incorrect format of the `features` field in the README YAML (`Value` requires `dtype`, e.g., `Value(\"string\")`, but it was not specified)",
"Feel free to close the issue",
"Oh, OK! Thanks. So, there was no reason to o... | completed | [
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] | ConfigNamesError on a simple CSV file | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6405/timeline | See https://huggingface.co/datasets/Nguyendo1999/mmath/discussions/1
```
Error code: ConfigNamesError
Exception: TypeError
Message: __init__() missing 1 required positional argument: 'dtype'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runn... | https://api.github.com/repos/huggingface/datasets | null | 1,990,358,743 | https://api.github.com/repos/huggingface/datasets/issues/6405/comments | I_kwDODunzps52onbX | null | 6,405 | https://api.github.com/repos/huggingface/datasets/issues/6405/events | false |
closed | 2023-11-13T09:15:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/6404 | null | {
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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... | null | [] | Support pyarrow 14.0.1 and fix vulnerability CVE-2023-47248 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6404/timeline | Support `pyarrow` 14.0.1 and fix vulnerability [CVE-2023-47248](https://github.com/advisories/GHSA-5wvp-7f3h-6wmm).
Fix #6396. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-11-13T08:14:43Z | null | https://api.github.com/repos/huggingface/datasets/issues/6403 | null | {
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"You are most likely using an outdated version of `datasets` in the notebook, which can be verified with the `!datasets-cli env` command. You can run `!pip install -U datasets` to update the installation.",
"okay, it works! thank you so much! 😄 "
] | completed | [] | Cannot import datasets on google colab (python 3.10.12) | NONE | https://api.github.com/repos/huggingface/datasets/issues/6403/timeline | ### Describe the bug
I'm trying A full colab demo notebook of zero-shot-distillation from https://github.com/huggingface/transformers/tree/main/examples/research_projects/zero-shot-distillation but i got this type of error when importing datasets on my google colab (python version is 3.10.12)
![image](https://gith... | https://api.github.com/repos/huggingface/datasets | null | 1,990,098,817 | https://api.github.com/repos/huggingface/datasets/issues/6403/comments | I_kwDODunzps52nn-B | null | 6,403 | https://api.github.com/repos/huggingface/datasets/issues/6403/events | false |
open | 2023-11-11T19:40:41Z | null | https://api.github.com/repos/huggingface/datasets/issues/6402 | null | {
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closed | 2023-11-11T04:09:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/6401 | null | {
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"Seems like it's a problem with the dataset, since in the [README](https://huggingface.co/datasets/Hyperspace-Technologies/scp-wiki-text/blob/main/README.md) the validation is not specified. Try cloning the dataset, removing the README (or validation split), and loading it locally/ ",
"@VarunNSrivastava thanks br... | completed | [] | dataset = load_dataset("Hyperspace-Technologies/scp-wiki-text") not working | NONE | https://api.github.com/repos/huggingface/datasets/issues/6401/timeline | ### Describe the bug
```
(datasets) mruserbox@guru-X99:/media/10TB_HHD/_LLM_DATASETS$ python dataset.py
Downloading readme: 100%|███████████████████████████████████| 360/360 [00:00<00:00, 2.16MB/s]
Downloading data: 100%|█████████████████████████████████| 65.1M/65.1M [00:19<00:00, 3.38MB/s]
Downloading data: 100... | https://api.github.com/repos/huggingface/datasets | null | 1,988,710,061 | https://api.github.com/repos/huggingface/datasets/issues/6401/comments | I_kwDODunzps52iU6t | null | 6,401 | https://api.github.com/repos/huggingface/datasets/issues/6401/events | false |
open | 2023-11-10T23:48:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/6400 | {
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"great idea IMO\r\n\r\nthis could be a `trust_remote_code=True` flag like in transformers. We could also default to loading the Parquet conversion rather than executing code (for dataset repos that have both)",
"@julien-c that would be great!",
"We added the `trust_remote_code` argument to `load_dataset()` in `... | null | [
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] | Safely load datasets by disabling execution of dataset loading script | NONE | https://api.github.com/repos/huggingface/datasets/issues/6400/timeline | ### Feature request
Is there a way to disable execution of dataset loading script using `load_dataset`? This is a security vulnerability that could lead to arbitrary code execution.
Any suggested workarounds are welcome as well.
### Motivation
This is a security vulnerability that could lead to arbitrary code e... | https://api.github.com/repos/huggingface/datasets | null | 1,988,571,317 | https://api.github.com/repos/huggingface/datasets/issues/6400/comments | I_kwDODunzps52hzC1 | null | 6,400 | https://api.github.com/repos/huggingface/datasets/issues/6400/events | false |
open | 2023-11-10T20:48:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/6399 | null | {
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Hi, I am preprocessing a large custom dataset with numpy arrays. I am running into this TypeError during writing in a dataset.map() function. I've tried decreasing writer batch size, but this error persists. This error does not occur for smaller datasets.
Thank you!
### Steps to repro... | https://api.github.com/repos/huggingface/datasets | null | 1,988,368,503 | https://api.github.com/repos/huggingface/datasets/issues/6399/comments | I_kwDODunzps52hBh3 | null | 6,399 | https://api.github.com/repos/huggingface/datasets/issues/6399/events | false |
closed | 2023-11-10T14:56:43Z | null | https://api.github.com/repos/huggingface/datasets/issues/6398 | null | {
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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... | null | [] | Remove redundant condition in builders | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6398/timeline | Minor refactoring to remove redundant condition. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-11-10T13:22:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/6397 | null | {
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We have the same error for:
- https://huggingface.co/datasets/severo/a_dataset_that_does_not_exist: a dataset that does not exist
- https://huggingface.co/datasets/severo/test_files_without_extension: a dataset with files withou... | https://api.github.com/repos/huggingface/datasets | null | 1,987,622,152 | https://api.github.com/repos/huggingface/datasets/issues/6397/comments | I_kwDODunzps52eLUI | null | 6,397 | https://api.github.com/repos/huggingface/datasets/issues/6397/events | false |
closed | 2023-11-10T10:02:12Z | null | https://api.github.com/repos/huggingface/datasets/issues/6396 | null | {
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"Looks like we should stop using `PyExtensionType` and use `ExtensionType` instead\r\n\r\nsee https://github.com/apache/arrow/commit/f14170976372436ec1d03a724d8d3f3925484ecf",
"https://github.com/huggingface/datasets-server/pull/2089#pullrequestreview-1724449532\r\n\r\n> Yes, I understand now: they have disabled ... | completed | [] | Issue with pyarrow 14.0.1 | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6396/timeline | See https://github.com/huggingface/datasets-server/pull/2089 for reference
```
from datasets import (Array2D, Dataset, Features)
feature_type = Array2D(shape=(2, 2), dtype="float32")
content = [[0.0, 0.0], [0.0, 0.0]]
features = Features({"col": feature_type})
dataset = Dataset.from_dict({"col": [content]}, fea... | https://api.github.com/repos/huggingface/datasets | null | 1,987,308,077 | https://api.github.com/repos/huggingface/datasets/issues/6396/comments | I_kwDODunzps52c-ot | null | 6,396 | https://api.github.com/repos/huggingface/datasets/issues/6396/events | false |
closed | 2023-11-09T22:12:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/6395 | null | {
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"We've replaced our filelock implementation with the `filelock` package, so their repo is the right place to request this feature.\r\n\r\nIn the meantime, the following should work: \r\n```python\r\nimport filelock\r\nfilelock.FileLock = filelock.SoftFileLock\r\n\r\nimport datasets\r\n...\r\n```"
] | not_planned | [
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] | Add ability to set lock type | NONE | https://api.github.com/repos/huggingface/datasets/issues/6395/timeline | ### Feature request
Allow setting file lock type, maybe from an environment variable
Currently, it only depends on whether fnctl is available:
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/utils/filelock.py#L463-L470C16
### Motivation
In my environment... | https://api.github.com/repos/huggingface/datasets | null | 1,986,484,124 | https://api.github.com/repos/huggingface/datasets/issues/6395/comments | I_kwDODunzps52Z1ec | null | 6,395 | https://api.github.com/repos/huggingface/datasets/issues/6395/events | false |
open | 2023-11-09T16:02:15Z | null | https://api.github.com/repos/huggingface/datasets/issues/6394 | null | {
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"Here's a PR for that. https://github.com/huggingface/datasets/pull/6402\r\n\r\nIt's not backward compatible, unfortunately. "
] | null | [] | TorchFormatter images (H, W, C) instead of (C, H, W) format | NONE | https://api.github.com/repos/huggingface/datasets/issues/6394/timeline | ### Describe the bug
Using .set_format("torch") leads to images having shape (H, W, C), the same as in numpy.
However, pytorch normally uses (C, H, W) format.
Maybe I'm missing something but this makes the format a lot less useful as I then have to permute it anyways.
If not using the format it is possible to ... | https://api.github.com/repos/huggingface/datasets | null | 1,985,947,116 | https://api.github.com/repos/huggingface/datasets/issues/6394/comments | I_kwDODunzps52XyXs | null | 6,394 | https://api.github.com/repos/huggingface/datasets/issues/6394/events | false |
open | 2023-11-09T06:18:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/6393 | null | {
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"It looks like I may not be the first to encounter this: https://github.com/huggingface/datasets/issues/3172",
"Adding some more information, it seems to occur more frequently with large (millions of samples) datasets.",
"More information. My code is structured as (1) load (2) map (3) filter (4) filter. It was ... | null | [] | Filter occasionally hangs | NONE | https://api.github.com/repos/huggingface/datasets/issues/6393/timeline | ### Describe the bug
A call to `.filter` occasionally hangs (after the filter is complete, according to tqdm)
There is a trace produced
```
Exception ignored in: <function Dataset.__del__ at 0x7efb48130c10>
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/datasets/arrow_dataset.py", l... | https://api.github.com/repos/huggingface/datasets | null | 1,984,913,259 | https://api.github.com/repos/huggingface/datasets/issues/6393/comments | I_kwDODunzps52T19r | null | 6,393 | https://api.github.com/repos/huggingface/datasets/issues/6393/events | false |
closed | 2023-11-08T20:44:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/6392 | null | {
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"Hi! We made some improvements to `push_to_hub` to make it more robust a couple of weeks ago but haven't published a release in the meantime, so it would help if you could install `datasets` from `main` (`pip install https://github.com/huggingface/datasets`) and let us know if this improved version of `push_to_hub`... | completed | [] | `push_to_hub` is not robust to hub closing connection | NONE | https://api.github.com/repos/huggingface/datasets/issues/6392/timeline | ### Describe the bug
Like to #6172, `push_to_hub` will crash if Hub resets the connection and raise the following error:
```
Pushing dataset shards to the dataset hub: 32%|███▏ | 54/171 [06:38<14:23, 7.38s/it]
Traceback (most recent call last):
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/... | https://api.github.com/repos/huggingface/datasets | null | 1,984,369,545 | https://api.github.com/repos/huggingface/datasets/issues/6392/comments | I_kwDODunzps52RxOJ | null | 6,392 | https://api.github.com/repos/huggingface/datasets/issues/6392/events | false |
closed | 2023-11-08T17:31:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/6391 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I added an error message if the first examples don't appear to be in webdataset format\r\n```\r\n\"The TAR archives of the dataset should be in Webdataset format, \"\r\n\"but the files in the archive don't share the same prefix or th... | null | [] | Webdataset dataset builder | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6391/timeline | Allow `load_dataset` to support the Webdataset format.
It allows users to download/stream data from local files or from the Hugging Face Hub.
Moreover it will enable the Dataset Viewer for Webdataset datasets on HF.
## Implementation details
- I added a new Webdataset builder
- dataset with TAR files are n... | https://api.github.com/repos/huggingface/datasets | {
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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... | null | [] | handle future deprecation argument | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6390/timeline | getting this error:
```
/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/datasets/table.py:1387: FutureWarning: promote has been superseded by mode='default'.
return cls._concat_blocks(pa_tables_to_concat_vertically, axis=0)
```
Since datasets supports arrow greater than 8.0.0, we need to handle both ... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-11-08T12:52:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/6389 | null | {
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"Hi! Can you make the above reproducer self-contained by adding code that generates the data?",
"I managed a workaround eventually but I don't know what it was (I made a lot of changes to seq2seq). I'll try to include generating code in the future. (If I close, I don't know if you see it. Feel free to close; I'l... | null | [] | Index 339 out of range for dataset of size 339 <-- save_to_file() | NONE | https://api.github.com/repos/huggingface/datasets/issues/6389/timeline | ### Describe the bug
When saving out some Audio() data.
The data is audio recordings with associated 'sentences'.
(They use the audio 'bytes' approach because they're clips within audio files).
Code is below the traceback (I can't upload the voice audio/text (it's not even me)).
```
Traceback (most recent call ... | https://api.github.com/repos/huggingface/datasets | null | 1,983,545,744 | https://api.github.com/repos/huggingface/datasets/issues/6389/comments | I_kwDODunzps52OoGQ | null | 6,389 | https://api.github.com/repos/huggingface/datasets/issues/6389/events | false |
open | 2023-11-07T11:27:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/6388 | null | {
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] | How to create 3d medical imgae dataset? | NONE | https://api.github.com/repos/huggingface/datasets/issues/6388/timeline | ### Feature request
I am newer to huggingface, after i look up `datasets` docs, I can't find how to create the dataset contains 3d medical image (ends with '.mhd', '.dcm', '.nii')
### Motivation
help us to upload 3d medical dataset to huggingface!
### Your contribution
I'll submit a PR if I find a way to... | https://api.github.com/repos/huggingface/datasets | null | 1,981,136,093 | https://api.github.com/repos/huggingface/datasets/issues/6388/comments | I_kwDODunzps52Fbzd | null | 6,388 | https://api.github.com/repos/huggingface/datasets/issues/6388/events | false |
closed | 2023-11-06T22:51:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/6387 | null | {
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"Feel free to use `dataset.save_to_disk(...)`, then scp the directory containing the saved dataset and reload it on your other machine using `dataset = load_from_disk(...)`"
] | completed | [
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] | How to load existing downloaded dataset ? | NONE | https://api.github.com/repos/huggingface/datasets/issues/6387/timeline | Hi @mariosasko @lhoestq @katielink
Thanks for your contribution and hard work.
### Feature request
First, I download a dataset as normal by:
```
from datasets import load_dataset
dataset = load_dataset('username/data_name', cache_dir='data')
```
The dataset format in `data` directory will be:
```
... | https://api.github.com/repos/huggingface/datasets | null | 1,980,224,020 | https://api.github.com/repos/huggingface/datasets/issues/6387/comments | I_kwDODunzps52B9IU | null | 6,387 | https://api.github.com/repos/huggingface/datasets/issues/6387/events | false |
closed | 2023-11-06T19:06:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/6386 | null | {
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"Ah I think the `line-profiler` log is off-by-one and it is in fact the `extract_batch` method that's taking forever. Will investigate further.",
"I tracked it down to a quirk of my setup. Apologies."
] | completed | [] | Formatting overhead | NONE | https://api.github.com/repos/huggingface/datasets/issues/6386/timeline | ### Describe the bug
Hi! I very recently noticed that my training time is dominated by batch formatting. Using Lightning's profilers, I located the bottleneck within `datasets.formatting.formatting` and then narrowed it down with `line-profiler`. It turns out that almost all of the overhead is due to creating new inst... | https://api.github.com/repos/huggingface/datasets | null | 1,979,878,014 | https://api.github.com/repos/huggingface/datasets/issues/6386/comments | I_kwDODunzps52Aop- | null | 6,386 | https://api.github.com/repos/huggingface/datasets/issues/6386/events | false |
closed | 2023-11-06T14:29:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/6385 | null | {
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"The `answers.text` field in the JSON dataset needs to be a list of strings, not a string.\r\n\r\nSo, here is the fixed code:\r\n```python\r\nfrom huggingface_hub import notebook_login\r\nfrom datasets import load_dataset\r\n\r\n\r\n\r\nnotebook_login(\"mymailadresse\", \"mypassword\")\r\nsquad = load_dataset(\"squ... | completed | [] | Get an error when i try to concatenate the squad dataset with my own dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6385/timeline | ### Describe the bug
Hello,
I'm new here and I need to concatenate the squad dataset with my own dataset i created. I find the following error when i try to do it: Traceback (most recent call last):
Cell In[9], line 1
concatenated_dataset = concatenate_datasets([train_dataset, dataset1])
File ~\ana... | https://api.github.com/repos/huggingface/datasets | null | 1,979,308,338 | https://api.github.com/repos/huggingface/datasets/issues/6385/comments | I_kwDODunzps51-dky | null | 6,385 | https://api.github.com/repos/huggingface/datasets/issues/6385/events | false |
closed | 2023-11-06T13:07:04Z | null | https://api.github.com/repos/huggingface/datasets/issues/6384 | null | {
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"Solved"
] | completed | [] | Load the local dataset folder from other place | NONE | https://api.github.com/repos/huggingface/datasets/issues/6384/timeline | This is from https://github.com/huggingface/diffusers/issues/5573
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closed | 2023-11-06T02:58:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/6383 | null | {
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What could be causing this?
```
$ python3
Python 3.8.13 (default, Mar 28 2022, 11:38:47)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from datasets import load_dataset
>>> load_dataset("imagenet-1k")
Downloading builder ... | https://api.github.com/repos/huggingface/datasets | null | 1,978,189,389 | https://api.github.com/repos/huggingface/datasets/issues/6383/comments | I_kwDODunzps516MZN | null | 6,383 | https://api.github.com/repos/huggingface/datasets/issues/6383/events | false |
open | 2023-11-04T15:36:11Z | null | https://api.github.com/repos/huggingface/datasets/issues/6382 | null | {
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"Hey @SauravMaheshkar ! Just responded to your email.\r\n\r\n_For transparency, copying part of my response here:_\r\nI agree, it would be really great to have this and other BenchMD datasets easily accessible on the hub.\r\n\r\nI think the main limiting factor is that the ChexPert dataset is currently hosted on th... | null | [
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"default": fals... | Add CheXpert dataset for vision | NONE | https://api.github.com/repos/huggingface/datasets/issues/6382/timeline | ### Feature request
### Name
**CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison**
### Paper
https://arxiv.org/abs/1901.07031
### Data
https://stanfordaimi.azurewebsites.net/datasets/8cbd9ed4-2eb9-4565-affc-111cf4f7ebe2
### Motivation
CheXpert is one of the fund... | https://api.github.com/repos/huggingface/datasets | null | 1,977,400,799 | https://api.github.com/repos/huggingface/datasets/issues/6382/comments | I_kwDODunzps513L3f | null | 6,382 | https://api.github.com/repos/huggingface/datasets/issues/6382/events | false |
closed | 2023-11-02T20:59:52Z | null | https://api.github.com/repos/huggingface/datasets/issues/6381 | null | {
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"Hi! We do not host datasets in this repo. Instead, you should use `dataset.push_to_hub` to upload the dataset to the HF Hub.",
"@mariosasko could you provide me proper guide to push data on HF hub ",
"You can find this info here: https://huggingface.co/docs/datasets/upload_dataset. Also, check https://huggingf... | null | [] | Add my dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6381/timeline | ## medical data
**Description:**
This dataset, named "medical data," is a collection of text data from various sources, carefully curated and cleaned for use in natural language processing (NLP) tasks. It consists of a diverse range of text, including articles, books, and online content, covering topics from scienc... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-11-02T17:28:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/6380 | null | {
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The underlying issue is also being discussed in https://github.com/huggingface/datasets/issues/5594.
Issue Symptoms & Behaviour:
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closed | 2023-11-02T16:37:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/6379 | null | {
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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... | null | [] | Avoid redundant warning when encoding NumPy array as `Image` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6379/timeline | Avoid a redundant warning in `encode_np_array` by removing the identity check as NumPy `dtype`s can be equal without having identical `id`s.
Additionally, fix "unreachable" checks in `encode_np_array`. | https://api.github.com/repos/huggingface/datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Support pyarrow 14.0.0 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6378/timeline | Support `pyarrow` 14.0.0.
Fix #6377 and fix #6374 (root cause).
This fix is analog to a previous one:
- #6175 | https://api.github.com/repos/huggingface/datasets | {
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- #6374
and revert:
- #6375 | https://api.github.com/repos/huggingface/datasets | null | 1,973,937,612 | https://api.github.com/repos/huggingface/datasets/issues/6377/comments | I_kwDODunzps51p-XM | null | 6,377 | https://api.github.com/repos/huggingface/datasets/issues/6377/events | false |
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"Thanks for reporting! Can you also share the error message printed in step 5?",
"I did not store it at the time but I'll try to re-do a mwe next week to get it again",
"I haven't managed to reproduce this issue using a [notebook](https://colab.research.google.com/drive/1m6eduYun7pFTkigrCJAFgw0BghlbvXIL?usp=sha... | completed | [] | Caching problem when deleting a dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6376/timeline | ### Describe the bug
Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, delete the repo at `YOUR_PATH`
4. Update... | https://api.github.com/repos/huggingface/datasets | null | 1,973,927,468 | https://api.github.com/repos/huggingface/datasets/issues/6376/comments | I_kwDODunzps51p74s | null | 6,376 | https://api.github.com/repos/huggingface/datasets/issues/6376/events | false |
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"_The documentation is not available anymore as the PR was closed or merged._",
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Hot fix #6374. | https://api.github.com/repos/huggingface/datasets | {
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```
FAILED tests/test_table.py::test_cast_sliced_fixed_size_array_to_features - TypeError: Couldn't cast array of type
fixed_size_list<item: int32>[3]
to
Sequence(feature=Value(dtype='int64', id=None), length=3, id=None)
``` | https://api.github.com/repos/huggingface/datasets | null | 1,973,857,428 | https://api.github.com/repos/huggingface/datasets/issues/6374/comments | I_kwDODunzps51pqyU | null | 6,374 | https://api.github.com/repos/huggingface/datasets/issues/6374/events | false |
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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... | null | [] | do not try to download from HF GCS for generator | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6372/timeline | attempt to fix https://github.com/huggingface/datasets/issues/6371 | https://api.github.com/repos/huggingface/datasets | {
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"Indeed, setting `try_from_gcs` to `False` makes sense for `from_generator`.\r\n\r\nWe plan to deprecate and remove `try_from_hf_gcs` soon, as we can use Hub for file hosting now, but this is a good temporary fix.\r\n"
] | completed | [] | `Dataset.from_generator` should not try to download from HF GCS | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6371/timeline | ### Describe the bug
When using [`Dataset.from_generator`](https://github.com/huggingface/datasets/blob/c9c1166e1cf81d38534020f9c167b326585339e5/src/datasets/arrow_dataset.py#L1072) with `streaming=False`, the internal logic will call [`download_and_prepare`](https://github.com/huggingface/datasets/blob/main/src/datas... | https://api.github.com/repos/huggingface/datasets | null | 1,972,807,579 | https://api.github.com/repos/huggingface/datasets/issues/6371/comments | I_kwDODunzps51lqeb | null | 6,371 | https://api.github.com/repos/huggingface/datasets/issues/6371/events | false |
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"I figured it out. I found that `Trainer` does not work with TensorDataset even though the document says it uses it. Instead, I ended up creating a dictionary and converting it to a dataset using `dataset.Dataset.from_dict()`.\r\n\r\nI will leave this post open for a while. If someone knows a better approach, pleas... | completed | [] | TensorDataset format does not work with Trainer from transformers | NONE | https://api.github.com/repos/huggingface/datasets/issues/6370/timeline | ### Describe the bug
The model was built to do fine tunning on BERT model for relation extraction.
trainer.train() returns an error message ```TypeError: vars() argument must have __dict__ attribute``` when it has `train_dataset` generated from `torch.utils.data.TensorDataset`
However, in the document, the req... | https://api.github.com/repos/huggingface/datasets | null | 1,972,073,909 | https://api.github.com/repos/huggingface/datasets/issues/6370/comments | I_kwDODunzps51i3W1 | null | 6,370 | https://api.github.com/repos/huggingface/datasets/issues/6370/events | false |
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"The inconsistency may be caused by the usage of \"update_fingerprint\" and setting \"trust_remote_code\" to \"True.\"\r\nWhen the tokenizer employs \"trust_remote_code,\" the behavior of the map function varies with each code execution. Even if the remote code of the tokenizer remains the same, the result of \"ash... | completed | [] | Multi process map did not load cache file correctly | NONE | https://api.github.com/repos/huggingface/datasets/issues/6369/timeline | ### Describe the bug
When I was training model on Multiple GPUs by DDP, the dataset is tokenized multiple times after main process.
![1698820501568](https://github.com/huggingface/datasets/assets/142857... | https://api.github.com/repos/huggingface/datasets | null | 1,971,794,108 | https://api.github.com/repos/huggingface/datasets/issues/6369/comments | I_kwDODunzps51hzC8 | null | 6,369 | https://api.github.com/repos/huggingface/datasets/issues/6369/events | false |
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix time measuring snippet in docs | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6367/timeline | Fix https://discuss.huggingface.co/t/attributeerror-enter/60509 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-10-31T11:10:48Z | null | https://api.github.com/repos/huggingface/datasets/issues/6366 | null | {
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"Thanks for reporting! I've opened a PR with a fix."
] | completed | [] | with_format() function returns bytes instead of PIL images even when image column is not part of "columns" | NONE | https://api.github.com/repos/huggingface/datasets/issues/6366/timeline | ### Describe the bug
When using the with_format() function on a dataset containing images, even if the image column is not part of the columns provided in the function, its type will be changed to bytes.
Here is a minimal reproduction of the bug:
https://colab.research.google.com/drive/1hyaOspgyhB41oiR1-tXE3k_gJCdJU... | https://api.github.com/repos/huggingface/datasets | null | 1,970,213,490 | https://api.github.com/repos/huggingface/datasets/issues/6366/comments | I_kwDODunzps51bxJy | null | 6,366 | https://api.github.com/repos/huggingface/datasets/issues/6366/events | false |
closed | 2023-10-31T10:29:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/6365 | null | {
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"Wrong repo."
] | not_planned | [] | Parquet size grows exponential for categorical data | NONE | https://api.github.com/repos/huggingface/datasets/issues/6365/timeline | ### Describe the bug
It seems that when saving a data frame with a categorical column inside the size can grow exponentially.
This seems to happen because when we save the categorical data to parquet, we are saving the data + all the categories existing in the original data. This happens even when the categories ar... | https://api.github.com/repos/huggingface/datasets | null | 1,970,140,392 | https://api.github.com/repos/huggingface/datasets/issues/6365/comments | I_kwDODunzps51bfTo | null | 6,365 | https://api.github.com/repos/huggingface/datasets/issues/6365/events | false |
closed | 2023-10-30T20:14:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/6364 | null | {
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"You can use the following code to load this CSV with the list values preserved:\r\n```python\r\nfrom datasets import load_dataset\r\nimport ast\r\n\r\nconverters = {\r\n \"contexts\" : ast.literal_eval,\r\n \"ground_truths\" : ast.literal_eval,\r\n}\r\n\r\nds = load_dataset(\"csv\", data_files=\"golden_datas... | completed | [] | ArrowNotImplementedError: Unsupported cast from string to list using function cast_list | NONE | https://api.github.com/repos/huggingface/datasets/issues/6364/timeline | Hi,
I am trying to load a local csv dataset(similar to explodinggradients_fiqa) using load_dataset. When I try to pass features, I am facing the mentioned issue.
CSV Data sample(golden_dataset.csv):
Question | Context | answer | groundtruth
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closed | 2023-10-30T17:34:05Z | null | https://api.github.com/repos/huggingface/datasets/issues/6363 | null | {
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"I think the code hangs on the `accelerator.main_process_first()` context manager exit. To verify this, you can append a print statement to the end of the `accelerator.main_process_first()` block. \r\n\r\n\r\nIf the problem is in `with_transform`, it would help if you could share the error stack trace printed when... | completed | [] | dataset.transform() hangs indefinitely while finetuning the stable diffusion XL | NONE | https://api.github.com/repos/huggingface/datasets/issues/6363/timeline | ### Describe the bug
Multi-GPU fine-tuning the stable diffusion X by following https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/README_sdxl.md hangs indefinitely.
### Steps to reproduce the bug
accelerate launch train_text_to_image_sdxl.py --pretrained_model_name_or_path=$MODEL_NAME --... | https://api.github.com/repos/huggingface/datasets | null | 1,968,891,277 | https://api.github.com/repos/huggingface/datasets/issues/6363/comments | I_kwDODunzps51WuWN | null | 6,363 | https://api.github.com/repos/huggingface/datasets/issues/6363/events | false |
closed | 2023-10-27T15:54:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/6362 | null | {
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"This issue stems from https://github.com/huggingface/datasets/blob/6d2f2a5e0fea3827eccfd1717d8021c15fc4292a/src/datasets/table.py#L2203-L2205\r\n\r\nI'll address it as part of https://github.com/huggingface/datasets/pull/6283.\r\n\r\nIn the meantime, this should work\r\n\r\n```python\r\nimport pyarrow as pa\r\nfro... | null | [
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] | Add support for `Sequence(Audio/Image)` feature in `push_to_hub` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6360/timeline | ### Feature request
Allow for `Sequence` of `Image` (or `Audio`) to be embedded inside the shards.
### Motivation
Currently, thanks to #3685, when `embed_external_files` is set to True (which is the default) in `push_to_hub`, features of type `Image` and `Audio` are embedded inside the arrow/parquet shards, instead ... | https://api.github.com/repos/huggingface/datasets | null | 1,965,672,950 | https://api.github.com/repos/huggingface/datasets/issues/6360/comments | I_kwDODunzps51Kcn2 | null | 6,360 | https://api.github.com/repos/huggingface/datasets/issues/6360/events | false |
open | 2023-10-27T12:01:51Z | null | https://api.github.com/repos/huggingface/datasets/issues/6359 | null | {
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"Most likely, the data file inference logic is the problem here.\r\n\r\nYou can run the following code to verify this:\r\n```python\r\nimport time\r\nfrom datasets.data_files import get_data_patterns\r\nstart_time = time.time()\r\nget_data_patterns(\"/path/to/img_dir\")\r\nend_time = time.time()\r\nprint(f\"Elapsed... | null | [] | Stuck in "Resolving data files..." | NONE | https://api.github.com/repos/huggingface/datasets/issues/6359/timeline | ### Describe the bug
I have an image dataset with 300k images, the size of image is 768 * 768.
When I run `dataset = load_dataset("imagefolder", data_dir="/path/to/img_dir", split='train')` in second time, it takes 50 minutes to finish "Resolving data files" part, what's going on in this part?
From my understa... | https://api.github.com/repos/huggingface/datasets | null | 1,965,378,583 | https://api.github.com/repos/huggingface/datasets/issues/6359/comments | I_kwDODunzps51JUwX | null | 6,359 | https://api.github.com/repos/huggingface/datasets/issues/6359/events | false |
closed | 2023-10-27T08:20:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/6358 | null | {
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"You may be able to make it work by tweaking some environment variables, such as [`HF_HOME`](https://huggingface.co/docs/huggingface_hub/main/en/package_reference/environment_variables#hfhome) or [`HF_DATASETS_CACHE`](https://huggingface.co/docs/datasets/cache#cache-directory).",
"> You may be able to make it wor... | completed | [] | Mounting datasets cache fails due to absolute paths. | NONE | https://api.github.com/repos/huggingface/datasets/issues/6358/timeline | ### Describe the bug
Creating a datasets cache and mounting this into, for example, a docker container, renders the data unreadable due to absolute paths written into the cache.
### Steps to reproduce the bug
1. Create a datasets cache by downloading some data
2. Mount the dataset folder into a docker contain... | https://api.github.com/repos/huggingface/datasets | null | 1,965,014,595 | https://api.github.com/repos/huggingface/datasets/issues/6358/comments | I_kwDODunzps51H75D | null | 6,358 | https://api.github.com/repos/huggingface/datasets/issues/6358/events | false |
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] | Allow passing a multiprocessing context to functions that support `num_proc` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6357/timeline | ### Feature request
Allow specifying [a multiprocessing context](https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods) to functions that support `num_proc` or use multiprocessing pools. For example, the following could be done:
```python
dataset = dataset.map(_func, num_proc=2, mp_cont... | https://api.github.com/repos/huggingface/datasets | null | 1,964,653,995 | https://api.github.com/repos/huggingface/datasets/issues/6357/comments | I_kwDODunzps51Gj2r | null | 6,357 | https://api.github.com/repos/huggingface/datasets/issues/6357/events | false |
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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... | null | [] | Add `fsspec` version to the `datasets-cli env` command output | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6356/timeline | ... to make debugging issues easier, as `fsspec`'s releases often introduce breaking changes. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-10-26T16:54:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/6355 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | More hub centric docs | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6355/timeline | Let's have more hub-centric documentation in the datasets docs
Tutorials
- Add “Configure the dataset viewer” page
- Change order:
- Overview
- and more focused on the Hub rather than the library
- Then all the hub related things
- and mention how to read/write with other tools like pandas
- The... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-10-26T12:43:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/6354 | null | {
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"I am having issues as well with this. \r\n\r\nHowever, the error I am getting is :\r\n`RuntimeError: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more informati... | null | [] | `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` | NONE | https://api.github.com/repos/huggingface/datasets/issues/6354/timeline | ### Describe the bug
Looks like `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` if I'm not missing anything.
Also, returns not consistent error messages, which probably depend on the nondeterministic order of worker executions
Some exampes I've encountered:
```
File "/l... | https://api.github.com/repos/huggingface/datasets | null | 1,963,483,324 | https://api.github.com/repos/huggingface/datasets/issues/6354/comments | I_kwDODunzps51CGC8 | null | 6,354 | https://api.github.com/repos/huggingface/datasets/issues/6354/events | false |
closed | 2023-10-26T03:47:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/6353 | null | {
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"solved.\r\nfsspec version problem",
"I'm using the latest datasets and fsspec , but still got this error!\r\n\r\ndatasets : Version: 2.13.0\r\n\r\nfsspec Version: 2023.10.0\r\n\r\n```\r\nFile \"/home/guoby/app/Anaconda3-2021.05/envs/news/lib/python3.8/site-packages/datasets/load.py\", line 1892, in load_from_... | completed | [] | load_dataset save_to_disk load_from_disk error | NONE | https://api.github.com/repos/huggingface/datasets/issues/6353/timeline | ### Describe the bug
datasets version： 2.10.1
I `load_dataset `and `save_to_disk` sucessfully on windows10( **and I `load_from_disk(/LLM/data/wiki)` succcesfully on windows10**), and I copy the dataset `/LLM/data/wiki`
into a ubuntu system, but when I `load_from_disk(/LLM/data/wiki)` on ubuntu, something weird ha... | https://api.github.com/repos/huggingface/datasets | null | 1,962,646,450 | https://api.github.com/repos/huggingface/datasets/issues/6353/comments | I_kwDODunzps50-5uy | null | 6,353 | https://api.github.com/repos/huggingface/datasets/issues/6353/events | false |
closed | 2023-10-25T21:55:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/6352 | null | {
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"+1 \r\n```\r\nFound cached dataset csv (file:///home/ubuntu/.cache/huggingface/datasets/theSquarePond___csv/theSquarePond--XXXXX-bbf0a8365d693d2c/0.0.0/eea64c71ca8b46dd3f537ed218fc9bf495d5707789152eb2764f5c78fa66d59d)\r\n---------------------------------------------------------------------------\r\nNotImplementedE... | completed | [] | Error loading wikitext data raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.") | NONE | https://api.github.com/repos/huggingface/datasets/issues/6352/timeline | I was trying to load the wiki dataset, but i got this error
traindata = load_dataset('wikitext', 'wikitext-2-raw-v1', split='train')
File "/home/aelkordy/.conda/envs/prune_llm/lib/python3.9/site-packages/datasets/load.py", line 1804, in load_dataset
ds = builder_instance.as_dataset(split=split, verific... | https://api.github.com/repos/huggingface/datasets | null | 1,962,296,057 | https://api.github.com/repos/huggingface/datasets/issues/6352/comments | I_kwDODunzps509kL5 | null | 6,352 | https://api.github.com/repos/huggingface/datasets/issues/6352/events | false |
closed | 2023-10-25T18:21:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/6351 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix use_dataset.mdx | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6351/timeline | The current example isn't working because it can't find `labels` inside the Dataset object. So I've added an extra step to the process. Tested and working in Colab. | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-10-25T17:08:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/6350 | null | {
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"`load_dataset` returns a `DatasetDict` object unless `split` is defined, in which case it returns a `Dataset` (or a list of datasets if `split` is a list). We've discussed dropping `DatasetDict` from the API in https://github.com/huggingface/datasets/issues/5189 to always return the same type in `load_dataset` an... | null | [] | Different objects are returned from calls that should be returning the same kind of object. | NONE | https://api.github.com/repos/huggingface/datasets/issues/6350/timeline | ### Describe the bug
1. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir, split='train[:1%]')
2. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir)
The only difference I would expect these cal... | https://api.github.com/repos/huggingface/datasets | null | 1,961,869,203 | https://api.github.com/repos/huggingface/datasets/issues/6350/comments | I_kwDODunzps5077-T | null | 6,350 | https://api.github.com/repos/huggingface/datasets/issues/6350/events | false |
closed | 2023-10-25T13:29:51Z | null | https://api.github.com/repos/huggingface/datasets/issues/6349 | null | {
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"I'm unable to reproduce this error. The server hosting the files may have been down temporarily, so try again.",
"getting the same error"
] | completed | [] | Can't load ds = load_dataset("imdb") | NONE | https://api.github.com/repos/huggingface/datasets/issues/6349/timeline | ### Describe the bug
I did `from datasets import load_dataset, load_metric` and then `ds = load_dataset("imdb")` and it gave me the error:
ExpectedMoreDownloadedFiles: {'http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz'}
I tried doing `ds = load_dataset("imdb",download_mode="force_redownload")` as we... | https://api.github.com/repos/huggingface/datasets | null | 1,961,435,673 | https://api.github.com/repos/huggingface/datasets/issues/6349/comments | I_kwDODunzps506SIZ | null | 6,349 | https://api.github.com/repos/huggingface/datasets/issues/6349/events | false |
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] | Parquet stream-conversion fails to embed images/audio files from gated repos | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6348/timeline | it seems to be an issue with datasets not passing the token to embed_table_storage when generating a dataset
See https://github.com/huggingface/datasets-server/issues/2010 | https://api.github.com/repos/huggingface/datasets | null | 1,961,268,504 | https://api.github.com/repos/huggingface/datasets/issues/6348/comments | I_kwDODunzps505pUY | null | 6,348 | https://api.github.com/repos/huggingface/datasets/issues/6348/events | false |
closed | 2023-10-24T11:01:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6347 | null | {
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"This was fixed in https://github.com/huggingface/datasets/pull/6247. You can find the fix in the `main` version of the docs",
"Ah great, thanks :)"
] | completed | [] | Incorrect example code in 'Create a dataset' docs | NONE | https://api.github.com/repos/huggingface/datasets/issues/6347/timeline | ### Describe the bug
On [this](https://huggingface.co/docs/datasets/create_dataset) page, the example code for loading in images and audio is incorrect.
Currently, examples are:
``` python
from datasets import ImageFolder
dataset = load_dataset("imagefolder", data_dir="/path/to/pokemon")
```
and
``` python... | https://api.github.com/repos/huggingface/datasets | null | 1,959,004,835 | https://api.github.com/repos/huggingface/datasets/issues/6347/comments | I_kwDODunzps50xAqj | null | 6,347 | https://api.github.com/repos/huggingface/datasets/issues/6347/events | false |
closed | 2023-10-24T08:38:43Z | null | https://api.github.com/repos/huggingface/datasets/issues/6346 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix UnboundLocalError if preprocessing returns an empty list | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6346/timeline | If this tokenization function is used with IterableDatasets and no sample is as big as the context length, `input_batch` will be an empty list.
```
def tokenize(batch, tokenizer, context_length):
outputs = tokenizer(
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open | 2023-10-23T17:55:37Z | null | https://api.github.com/repos/huggingface/datasets/issues/6345 | null | {
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] | support squad structure datasets using a YAML parameter | NONE | https://api.github.com/repos/huggingface/datasets/issues/6345/timeline | ### Feature request
Since the squad structure is widely used, I think it could be beneficial to support it using a YAML parameter.
could you implement automatic data loading of squad-like data using squad JSON format, to read it from JSON files and view it in the correct squad structure.
The dataset structure should... | https://api.github.com/repos/huggingface/datasets | null | 1,957,707,870 | https://api.github.com/repos/huggingface/datasets/issues/6345/comments | I_kwDODunzps50sEBe | null | 6,345 | https://api.github.com/repos/huggingface/datasets/issues/6345/events | false |
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"closing in favor of https://github.com/huggingface/datasets/pull/6337",
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- #6331
- #6210
- #5731
- #5617
- #5447
I propose that we explicitly test, introduce fixes and support each new `fsspec` version release.
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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... | null | [] | datasets.filesystems: fix is_remote_filesystems | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6334/timeline | Close #6330
`fsspec.implementations.LocalFilesystem.protocol`
was changed from `str` "file" to `tuple[str,...]` ("file", "local") in `fsspec>=2023.10.0`
This commit supports both styles. | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-10-23T09:14:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/6333 | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | false | 2023-10-23T09:15:10Z | null | null | [] | null | [] | Support fsspec 2023.10.0 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6333/timeline | Once root issue is fixed, remove temporary pin of fsspec < 2023.10.0 introduced by:
- #6331
Related to issue:
- #6330
As @ZachNagengast suggested, the issue might be related to:
- https://github.com/fsspec/filesystem_spec/pull/1381 | https://api.github.com/repos/huggingface/datasets | null | 1,956,714,423 | https://api.github.com/repos/huggingface/datasets/issues/6333/comments | I_kwDODunzps50oRe3 | null | 6,333 | https://api.github.com/repos/huggingface/datasets/issues/6333/events | false |
closed | 2023-10-23T09:05:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/6332 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Replace deprecated license_file in setup.cfg | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6332/timeline | Replace deprecated license_file in `setup.cfg`.
See: https://github.com/huggingface/datasets/actions/runs/6610930650/job/17953825724?pr=6331
```
/tmp/pip-build-env-a51hls20/overlay/lib/python3.8/site-packages/setuptools/config/setupcfg.py:293: _DeprecatedConfig: Deprecated config in `setup.cfg`
!!
... | https://api.github.com/repos/huggingface/datasets | {
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