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Additionally, it improves the doc page about the `datasets`' utilities, and the handling of local `fsspec` paths in `cached_path`.
Fix #6409 | 2023-11-22T16:48:18Z | 6,433 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-17T15:45:15Z | https://api.github.com/repos/huggingface/datasets/issues/6433/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6433/timeline | Better `tqdm` wrapper | https://api.github.com/repos/huggingface/datasets/issues/6433/events | null | {
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1,999,258,140 | https://api.github.com/repos/huggingface/datasets/issues/6432/labels{/name} | ### 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_... | 2023-11-22T17:34:58Z | 6,432 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-17T14:28:50Z | https://api.github.com/repos/huggingface/datasets/issues/6432/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6432/timeline | load_dataset does not load all of the data in my input file | https://api.github.com/repos/huggingface/datasets/issues/6432/events | 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"You should use `datasets.load_dataset` instead of `nlp.load_dataset`, as the `nlp` package is outdated.\r\n\r\nIf switching to `datasets.load_dataset` doesn't fix the issue, sharing the JSON file (feel free to replace the data with dummy data) would be nice so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."
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1,997,202,770 | https://api.github.com/repos/huggingface/datasets/issues/6431/labels{/name} | Create `DatasetNotFoundError` and `DataFilesNotFoundError`.
Fix #6397.
CC: @severo | 2023-11-22T15:18:51Z | 6,431 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-16T16:02:55Z | https://api.github.com/repos/huggingface/datasets/issues/6431/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6431/timeline | Create DatasetNotFoundError and DataFilesNotFoundError | https://api.github.com/repos/huggingface/datasets/issues/6431/events | null | {
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1,996,723,698 | https://api.github.com/repos/huggingface/datasets/issues/6429/labels{/name} | 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... | 2023-11-28T16:10:39Z | 6,429 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-16T12:12:54Z | https://api.github.com/repos/huggingface/datasets/issues/6429/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6429/timeline | Add trust_remote_code argument | https://api.github.com/repos/huggingface/datasets/issues/6429/events | null | {
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1,995,363,264 | https://api.github.com/repos/huggingface/datasets/issues/6426/labels{/name} | 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... | 2023-12-01T15:37:32Z | 6,426 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-15T19:06:42Z | https://api.github.com/repos/huggingface/datasets/issues/6426/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6426/timeline | More robust temporary directory deletion | https://api.github.com/repos/huggingface/datasets/issues/6426/events | null | {
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1,995,269,382 | https://api.github.com/repos/huggingface/datasets/issues/6425/labels{/name} | When building/releasing conda package, we get this deprecation warning:
```
/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.
```
This PR fixes the deprecation warning by using `co... | 2023-12-13T14:22:30Z | 6,425 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-15T18:00:11Z | https://api.github.com/repos/huggingface/datasets/issues/6425/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6425/timeline | Fix deprecation warning when building conda package | https://api.github.com/repos/huggingface/datasets/issues/6425/events | null | {
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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... | 2023-11-30T17:29:55Z | 6,424 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-15T17:28:14Z | https://api.github.com/repos/huggingface/datasets/issues/6424/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6424/timeline | [docs] troubleshooting guide | https://api.github.com/repos/huggingface/datasets/issues/6424/events | null | {
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1,994,946,847 | https://api.github.com/repos/huggingface/datasets/issues/6423/labels{/name} | Fix conda release by adding pyarrow-hotfix dependency.
Note that conda release failed in latest 2.14.7 release: https://github.com/huggingface/datasets/actions/runs/6874667214/job/18696761723
```
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1,994,579,267 | https://api.github.com/repos/huggingface/datasets/issues/6422/labels{/name} | ### Feature request
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... | 2023-11-16T10:00:21Z | 6,422 | null | https://api.github.com/repos/huggingface/datasets | 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```",
"Thank you for your answer!\r\n\r\nFrom what I am reading in `https://github.com/huggingface/datasets/... | {
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1,994,257,873 | https://api.github.com/repos/huggingface/datasets/issues/6419/labels{/name} | Release 2.14.7. | 2023-11-15T17:35:30Z | 6,419 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-15T08:07:37Z | https://api.github.com/repos/huggingface/datasets/issues/6419/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6419/timeline | Release: 2.14.7 | https://api.github.com/repos/huggingface/datasets/issues/6419/events | null | {
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1,993,224,629 | https://api.github.com/repos/huggingface/datasets/issues/6418/labels{/name} | Fix #6412 | 2023-11-14T22:26:04Z | 6,418 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-14T17:34:06Z | https://api.github.com/repos/huggingface/datasets/issues/6418/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6418/timeline | Remove token value from warnings | https://api.github.com/repos/huggingface/datasets/issues/6418/events | null | {
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1,993,149,416 | https://api.github.com/repos/huggingface/datasets/issues/6417/labels{/name} | ### 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... | 2023-11-16T20:23:41Z | 6,417 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-14T16:53:20Z | https://api.github.com/repos/huggingface/datasets/issues/6417/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6417/timeline | Bug: LayoutLMv3 finetuning on FUNSD Notebook; Arrow Error | https://api.github.com/repos/huggingface/datasets/issues/6417/events | null | {
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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... | {
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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)",
"_The documentation is not available anymore as the PR was closed or merged._",
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1,992,917,248 | https://api.github.com/repos/huggingface/datasets/issues/6415/labels{/name} | - use `orch.cuda.set_device` instead of `CUDA_VISIBLE_DEVICES `
- add `if __name__ == "__main__"`
fix https://github.com/huggingface/datasets/issues/6186 | 2024-01-31T00:49:15Z | 6,415 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-14T14:57:18Z | https://api.github.com/repos/huggingface/datasets/issues/6415/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6415/timeline | Fix multi gpu map example | https://api.github.com/repos/huggingface/datasets/issues/6415/events | null | {
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1,992,482,491 | https://api.github.com/repos/huggingface/datasets/issues/6414/labels{/name} | 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... | 2023-11-17T14:23:20Z | 6,414 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-14T10:47:09Z | https://api.github.com/repos/huggingface/datasets/issues/6414/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6414/timeline | Set `usedforsecurity=False` in hashlib methods (FIPS compliance) | https://api.github.com/repos/huggingface/datasets/issues/6414/events | null | {
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1,992,401,594 | https://api.github.com/repos/huggingface/datasets/issues/6412/labels{/name} | This line prints user token on command line! Is it safe?
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/load.py#L2091 | 2023-11-14T22:19:46Z | 6,412 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-14T10:01:34Z | https://api.github.com/repos/huggingface/datasets/issues/6412/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6412/timeline | User token is printed out! | https://api.github.com/repos/huggingface/datasets/issues/6412/events | null | {
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"Indeed, this is not a good practice. I've opened a PR that removes the token value from the (deprecation) warning."
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1,992,386,630 | https://api.github.com/repos/huggingface/datasets/issues/6411/labels{/name} | 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. | 2023-11-14T10:05:59Z | 6,411 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-14T09:52:51Z | https://api.github.com/repos/huggingface/datasets/issues/6411/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6411/timeline | Fix dependency conflict within CI build documentation | https://api.github.com/repos/huggingface/datasets/issues/6411/events | null | {
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1,992,100,209 | https://api.github.com/repos/huggingface/datasets/issues/6410/labels{/name} | ### 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 ... | 2023-11-16T06:54:36Z | 6,410 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-14T06:50:49Z | https://api.github.com/repos/huggingface/datasets/issues/6410/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6410/timeline | Datasets does not load HuggingFace Repository properly | https://api.github.com/repos/huggingface/datasets/issues/6410/events | 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... | {
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1,991,960,865 | https://api.github.com/repos/huggingface/datasets/issues/6409/labels{/name} | ### Describe the bug
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.... | 2023-11-22T16:42:09Z | 6,409 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-14T04:21:01Z | https://api.github.com/repos/huggingface/datasets/issues/6409/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6409/timeline | using DownloadManager to download from local filesystem and disable_progress_bar, there will be an exception | https://api.github.com/repos/huggingface/datasets/issues/6409/events | null | {
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1,991,902,972 | https://api.github.com/repos/huggingface/datasets/issues/6408/labels{/name} | ### Describe the bug
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... | 2023-11-16T06:24:10Z | 6,408 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-14T03:12:08Z | https://api.github.com/repos/huggingface/datasets/issues/6408/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6408/timeline | `IterableDataset` lost but not keep columns when map function adding columns with names in `remove_columns` | https://api.github.com/repos/huggingface/datasets/issues/6408/events | null | {
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1,991,514,079 | https://api.github.com/repos/huggingface/datasets/issues/6407/labels{/name} | ### Describe the bug
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... | 2023-11-13T21:27:43Z | 6,407 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-13T21:27:43Z | https://api.github.com/repos/huggingface/datasets/issues/6407/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6407/timeline | Loading the dataset from private S3 bucket gives "TypeError: cannot pickle '_contextvars.Context' object" | https://api.github.com/repos/huggingface/datasets/issues/6407/events | null | {
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1,990,469,045 | https://api.github.com/repos/huggingface/datasets/issues/6406/labels{/name} | Our CI Build PR Documentation is broken. See: https://github.com/huggingface/datasets/actions/runs/6799554060/job/18486828777?pr=6390
```
ImportError: cannot import name 'TypeAliasType' from 'typing_extensions'
``` | 2023-11-14T10:05:36Z | 6,406 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-13T11:36:10Z | https://api.github.com/repos/huggingface/datasets/issues/6406/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6406/timeline | CI Build PR Documentation is broken: ImportError: cannot import name 'TypeAliasType' from 'typing_extensions' | https://api.github.com/repos/huggingface/datasets/issues/6406/events | null | {
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1,990,358,743 | https://api.github.com/repos/huggingface/datasets/issues/6405/labels{/name} | 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... | 2023-11-13T20:01:24Z | 6,405 | null | https://api.github.com/repos/huggingface/datasets | 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... | {
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1,990,211,901 | https://api.github.com/repos/huggingface/datasets/issues/6404/labels{/name} | Support `pyarrow` 14.0.1 and fix vulnerability [CVE-2023-47248](https://github.com/advisories/GHSA-5wvp-7f3h-6wmm).
Fix #6396. | 2023-11-14T10:29:48Z | 6,404 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-13T09:15:39Z | https://api.github.com/repos/huggingface/datasets/issues/6404/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6404/timeline | Support pyarrow 14.0.1 and fix vulnerability CVE-2023-47248 | https://api.github.com/repos/huggingface/datasets/issues/6404/events | 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... | {
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1,990,098,817 | https://api.github.com/repos/huggingface/datasets/issues/6403/labels{/name} | ### 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)
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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! 😄 "
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1,989,094,542 | https://api.github.com/repos/huggingface/datasets/issues/6402/labels{/name} | Ensure PyTorch images are converted to (C, H, W) instead of (H, W, C). See #6394 for motivation. | 2024-03-15T11:31:53Z | 6,402 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-11T19:40:41Z | https://api.github.com/repos/huggingface/datasets/issues/6402/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6402/timeline | Update torch_formatter.py | https://api.github.com/repos/huggingface/datasets/issues/6402/events | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6402). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | {
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1,988,710,061 | https://api.github.com/repos/huggingface/datasets/issues/6401/labels{/name} | ### 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... | 2023-11-20T17:45:20Z | 6,401 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-11T04:09:07Z | https://api.github.com/repos/huggingface/datasets/issues/6401/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6401/timeline | dataset = load_dataset("Hyperspace-Technologies/scp-wiki-text") not working | https://api.github.com/repos/huggingface/datasets/issues/6401/events | 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... | {
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1,988,571,317 | https://api.github.com/repos/huggingface/datasets/issues/6400/labels{/name} | ### 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... | 2024-01-02T18:18:09Z | 6,400 | null | https://api.github.com/repos/huggingface/datasets | null | [
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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 `... | {
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1,988,368,503 | https://api.github.com/repos/huggingface/datasets/issues/6399/labels{/name} | ### Describe the bug
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... | 2023-11-10T20:48:46Z | 6,399 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-10T20:48:46Z | https://api.github.com/repos/huggingface/datasets/issues/6399/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6399/timeline | TypeError: Cannot convert pyarrow.lib.ChunkedArray to pyarrow.lib.Array | https://api.github.com/repos/huggingface/datasets/issues/6399/events | null | {
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1,987,786,446 | https://api.github.com/repos/huggingface/datasets/issues/6398/labels{/name} | Minor refactoring to remove redundant condition. | 2023-11-14T10:49:15Z | 6,398 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-10T14:56:43Z | https://api.github.com/repos/huggingface/datasets/issues/6398/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6398/timeline | Remove redundant condition in builders | https://api.github.com/repos/huggingface/datasets/issues/6398/events | 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... | {
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1,987,622,152 | https://api.github.com/repos/huggingface/datasets/issues/6397/labels{/name} | See https://github.com/huggingface/datasets-server/issues/2082#issuecomment-1805716557
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... | 2023-11-22T15:12:34Z | 6,397 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-10T13:22:14Z | https://api.github.com/repos/huggingface/datasets/issues/6397/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6397/timeline | Raise a different exception for inexisting dataset vs files without known extension | https://api.github.com/repos/huggingface/datasets/issues/6397/events | null | {
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1,987,308,077 | https://api.github.com/repos/huggingface/datasets/issues/6396/labels{/name} | 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... | 2023-11-14T10:23:30Z | 6,396 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-10T10:02:12Z | https://api.github.com/repos/huggingface/datasets/issues/6396/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6396/timeline | Issue with pyarrow 14.0.1 | https://api.github.com/repos/huggingface/datasets/issues/6396/events | 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 ... | {
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1,986,484,124 | https://api.github.com/repos/huggingface/datasets/issues/6395/labels{/name} | ### 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... | 2023-11-23T18:50:00Z | 6,395 | null | https://api.github.com/repos/huggingface/datasets | 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```"
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1,985,947,116 | https://api.github.com/repos/huggingface/datasets/issues/6394/labels{/name} | ### 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 ... | 2024-03-11T22:29:49Z | 6,394 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-09T16:02:15Z | https://api.github.com/repos/huggingface/datasets/issues/6394/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6394/timeline | TorchFormatter images (H, W, C) instead of (C, H, W) format | https://api.github.com/repos/huggingface/datasets/issues/6394/events | 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. ",
"Just ran into this working on data lib that's attempting to achieve common interfaces across hf datasets, webdataset, native torch style datasets. The defacto standards for image tensor... | {
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1,984,913,259 | https://api.github.com/repos/huggingface/datasets/issues/6393/labels{/name} | ### 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... | 2024-03-05T16:03:12Z | 6,393 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-09T06:18:30Z | https://api.github.com/repos/huggingface/datasets/issues/6393/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6393/timeline | Filter occasionally hangs | https://api.github.com/repos/huggingface/datasets/issues/6393/events | 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 ... | {
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1,984,369,545 | https://api.github.com/repos/huggingface/datasets/issues/6392/labels{/name} | ### 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/... | 2023-12-20T07:28:24Z | 6,392 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-08T20:44:53Z | https://api.github.com/repos/huggingface/datasets/issues/6392/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6392/timeline | `push_to_hub` is not robust to hub closing connection | https://api.github.com/repos/huggingface/datasets/issues/6392/events | 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`... | {
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1,984,091,776 | https://api.github.com/repos/huggingface/datasets/issues/6391/labels{/name} | 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... | 2023-11-28T16:33:33Z | 6,391 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-08T17:31:59Z | https://api.github.com/repos/huggingface/datasets/issues/6391/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6391/timeline | Webdataset dataset builder | https://api.github.com/repos/huggingface/datasets/issues/6391/events | 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... | {
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1,983,725,707 | https://api.github.com/repos/huggingface/datasets/issues/6390/labels{/name} | 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 ... | 2023-11-21T02:10:24Z | 6,390 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-08T14:21:25Z | https://api.github.com/repos/huggingface/datasets/issues/6390/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6390/timeline | handle future deprecation argument | https://api.github.com/repos/huggingface/datasets/issues/6390/events | null | {
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1,983,545,744 | https://api.github.com/repos/huggingface/datasets/issues/6389/labels{/name} | ### 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 ... | 2023-11-24T09:14:13Z | 6,389 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-08T12:52:09Z | https://api.github.com/repos/huggingface/datasets/issues/6389/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6389/timeline | Index 339 out of range for dataset of size 339 <-- save_to_file() | https://api.github.com/repos/huggingface/datasets/issues/6389/events | 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... | {
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1,981,136,093 | https://api.github.com/repos/huggingface/datasets/issues/6388/labels{/name} | ### 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... | 2023-11-07T11:28:53Z | 6,388 | null | https://api.github.com/repos/huggingface/datasets | null | [
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1,980,224,020 | https://api.github.com/repos/huggingface/datasets/issues/6387/labels{/name} | 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:
```
... | 2023-11-16T18:07:01Z | 6,387 | null | https://api.github.com/repos/huggingface/datasets | 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(...)`"
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1,979,878,014 | https://api.github.com/repos/huggingface/datasets/issues/6386/labels{/name} | ### 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... | 2023-11-06T23:56:12Z | 6,386 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-06T19:06:38Z | https://api.github.com/repos/huggingface/datasets/issues/6386/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6386/timeline | Formatting overhead | https://api.github.com/repos/huggingface/datasets/issues/6386/events | 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."
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1,979,308,338 | https://api.github.com/repos/huggingface/datasets/issues/6385/labels{/name} | ### 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... | 2023-11-06T16:50:45Z | 6,385 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-06T14:29:22Z | https://api.github.com/repos/huggingface/datasets/issues/6385/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6385/timeline | Get an error when i try to concatenate the squad dataset with my own dataset | https://api.github.com/repos/huggingface/datasets/issues/6385/events | 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... | {
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1,979,117,069 | https://api.github.com/repos/huggingface/datasets/issues/6384/labels{/name} | This is from https://github.com/huggingface/diffusers/issues/5573
| 2023-11-19T05:42:06Z | 6,384 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-06T13:07:04Z | https://api.github.com/repos/huggingface/datasets/issues/6384/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6384/timeline | Load the local dataset folder from other place | https://api.github.com/repos/huggingface/datasets/issues/6384/events | null | {
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"Solved"
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1,978,189,389 | https://api.github.com/repos/huggingface/datasets/issues/6383/labels{/name} | ### Describe the bug
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 ... | 2023-11-06T06:02:39Z | 6,383 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-06T02:58:58Z | https://api.github.com/repos/huggingface/datasets/issues/6383/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6383/timeline | imagenet-1k downloads over and over | https://api.github.com/repos/huggingface/datasets/issues/6383/events | null | {
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1,977,400,799 | https://api.github.com/repos/huggingface/datasets/issues/6382/labels{/name} | ### 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... | 2024-01-10T11:53:52Z | 6,382 | null | https://api.github.com/repos/huggingface/datasets | 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... | {
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1,975,028,470 | https://api.github.com/repos/huggingface/datasets/issues/6381/labels{/name} | ## 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... | 2023-11-08T14:37:46Z | 6,381 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-02T20:59:52Z | https://api.github.com/repos/huggingface/datasets/issues/6381/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6381/timeline | Add my dataset | https://api.github.com/repos/huggingface/datasets/issues/6381/events | 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... | {
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1,974,741,221 | https://api.github.com/repos/huggingface/datasets/issues/6380/labels{/name} | This PR proposes a (slightly hacky) fix for an Issue that can occur when downloading large dataset parts over unstable connections.
The underlying issue is also being discussed in https://github.com/huggingface/datasets/issues/5594.
Issue Symptoms & Behaviour:
- Download of a large archive file during dataset down... | 2023-11-02T17:31:19Z | 6,380 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-02T17:28:23Z | https://api.github.com/repos/huggingface/datasets/issues/6380/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6380/timeline | Fix for continuation behaviour on broken dataset archives due to starving download connections via HTTP-GET | https://api.github.com/repos/huggingface/datasets/issues/6380/events | null | {
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1,974,638,850 | https://api.github.com/repos/huggingface/datasets/issues/6379/labels{/name} | 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`. | 2023-11-06T17:53:27Z | 6,379 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-02T16:37:58Z | https://api.github.com/repos/huggingface/datasets/issues/6379/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6379/timeline | Avoid redundant warning when encoding NumPy array as `Image` | https://api.github.com/repos/huggingface/datasets/issues/6379/events | 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... | {
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1,973,942,770 | https://api.github.com/repos/huggingface/datasets/issues/6378/labels{/name} | Support `pyarrow` 14.0.0.
Fix #6377 and fix #6374 (root cause).
This fix is analog to a previous one:
- #6175 | 2023-11-02T15:24:28Z | 6,378 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-02T10:25:10Z | https://api.github.com/repos/huggingface/datasets/issues/6378/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6378/timeline | Support pyarrow 14.0.0 | https://api.github.com/repos/huggingface/datasets/issues/6378/events | null | {
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1,973,937,612 | https://api.github.com/repos/huggingface/datasets/issues/6377/labels{/name} | Support pyarrow 14.0.0 by fixing the root cause of:
- #6374
and revert:
- #6375 | 2023-11-02T15:15:45Z | 6,377 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-02T10:22:08Z | https://api.github.com/repos/huggingface/datasets/issues/6377/comments | {
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1,973,927,468 | https://api.github.com/repos/huggingface/datasets/issues/6376/labels{/name} | ### 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... | 2023-12-04T16:53:34Z | 6,376 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-02T10:15:58Z | https://api.github.com/repos/huggingface/datasets/issues/6376/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6376/timeline | Caching problem when deleting a dataset | https://api.github.com/repos/huggingface/datasets/issues/6376/events | null | {
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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... | {
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1,973,877,879 | https://api.github.com/repos/huggingface/datasets/issues/6375/labels{/name} | Temporarily pin `pyarrow` < 14.0.0 until permanent solution is found.
Hot fix #6374. | 2023-11-02T10:22:33Z | 6,375 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-02T09:48:58Z | https://api.github.com/repos/huggingface/datasets/issues/6375/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6375/timeline | Temporarily pin pyarrow < 14.0.0 | https://api.github.com/repos/huggingface/datasets/issues/6375/events | 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... | {
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1,973,857,428 | https://api.github.com/repos/huggingface/datasets/issues/6374/labels{/name} | See: https://github.com/huggingface/datasets/actions/runs/6730567226/job/18293518039
```
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)
``` | 2023-11-02T10:11:20Z | 6,374 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-02T09:37:06Z | https://api.github.com/repos/huggingface/datasets/issues/6374/comments | {
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1,972,837,794 | https://api.github.com/repos/huggingface/datasets/issues/6372/labels{/name} | attempt to fix https://github.com/huggingface/datasets/issues/6371 | 2023-11-02T16:02:52Z | 6,372 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-11-01T17:57:11Z | https://api.github.com/repos/huggingface/datasets/issues/6372/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6372/timeline | do not try to download from HF GCS for generator | https://api.github.com/repos/huggingface/datasets/issues/6372/events | null | {
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1,972,807,579 | https://api.github.com/repos/huggingface/datasets/issues/6371/labels{/name} | ### 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... | 2023-11-02T15:52:10Z | 6,371 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-01T17:36:17Z | https://api.github.com/repos/huggingface/datasets/issues/6371/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6371/timeline | `Dataset.from_generator` should not try to download from HF GCS | https://api.github.com/repos/huggingface/datasets/issues/6371/events | null | {
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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"
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1,972,073,909 | https://api.github.com/repos/huggingface/datasets/issues/6370/labels{/name} | ### 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... | 2023-11-29T16:31:08Z | 6,370 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-01T10:09:54Z | https://api.github.com/repos/huggingface/datasets/issues/6370/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6370/timeline | TensorDataset format does not work with Trainer from transformers | https://api.github.com/repos/huggingface/datasets/issues/6370/events | null | {
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1,971,794,108 | https://api.github.com/repos/huggingface/datasets/issues/6369/labels{/name} | ### 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... | 2023-11-30T16:04:46Z | 6,369 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-11-01T06:36:54Z | https://api.github.com/repos/huggingface/datasets/issues/6369/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6369/timeline | Multi process map did not load cache file correctly | https://api.github.com/repos/huggingface/datasets/issues/6369/events | null | {
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1,971,015,861 | https://api.github.com/repos/huggingface/datasets/issues/6367/labels{/name} | Fix https://discuss.huggingface.co/t/attributeerror-enter/60509 | 2023-10-31T18:35:53Z | 6,367 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-10-31T17:57:17Z | https://api.github.com/repos/huggingface/datasets/issues/6367/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6367/timeline | Fix time measuring snippet in docs | https://api.github.com/repos/huggingface/datasets/issues/6367/events | 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... | {
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1,970,213,490 | https://api.github.com/repos/huggingface/datasets/issues/6366/labels{/name} | ### 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... | 2023-11-02T14:21:17Z | 6,366 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-31T11:10:48Z | https://api.github.com/repos/huggingface/datasets/issues/6366/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6366/timeline | with_format() function returns bytes instead of PIL images even when image column is not part of "columns" | https://api.github.com/repos/huggingface/datasets/issues/6366/events | null | {
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"Thanks for reporting! I've opened a PR with a fix."
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1,970,140,392 | https://api.github.com/repos/huggingface/datasets/issues/6365/labels{/name} | ### 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... | 2023-10-31T10:49:17Z | 6,365 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-31T10:29:02Z | https://api.github.com/repos/huggingface/datasets/issues/6365/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6365/timeline | Parquet size grows exponential for categorical data | https://api.github.com/repos/huggingface/datasets/issues/6365/events | null | {
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"Wrong repo."
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1,969,136,106 | https://api.github.com/repos/huggingface/datasets/issues/6364/labels{/name} | 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
"what is abc?"... | 2023-10-31T19:21:23Z | 6,364 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-30T20:14:01Z | https://api.github.com/repos/huggingface/datasets/issues/6364/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6364/timeline | ArrowNotImplementedError: Unsupported cast from string to list using function cast_list | https://api.github.com/repos/huggingface/datasets/issues/6364/events | 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... | {
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1,968,891,277 | https://api.github.com/repos/huggingface/datasets/issues/6363/labels{/name} | ### 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 --... | 2023-11-22T00:29:21Z | 6,363 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-30T17:34:05Z | https://api.github.com/repos/huggingface/datasets/issues/6363/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6363/timeline | dataset.transform() hangs indefinitely while finetuning the stable diffusion XL | https://api.github.com/repos/huggingface/datasets/issues/6363/events | 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... | {
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1,965,794,569 | https://api.github.com/repos/huggingface/datasets/issues/6362/labels{/name} | Simplifies the existing filesystem logic (e.g., to avoid unnecessary if-else as mentioned in https://github.com/huggingface/datasets/pull/6098#issue-1827655071) | 2023-11-15T14:08:29Z | 6,362 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-10-27T15:54:18Z | https://api.github.com/repos/huggingface/datasets/issues/6362/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6362/timeline | Simplify filesystem logic | https://api.github.com/repos/huggingface/datasets/issues/6362/events | 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... | {
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1,965,672,950 | https://api.github.com/repos/huggingface/datasets/issues/6360/labels{/name} | ### 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 ... | 2024-02-06T19:24:20Z | 6,360 | null | https://api.github.com/repos/huggingface/datasets | null | [
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... | null | completed | CONTRIBUTOR | 2024-02-06T19:24:20Z | null | I_kwDODunzps51Kcn2 | [
"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... | {
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1,965,378,583 | https://api.github.com/repos/huggingface/datasets/issues/6359/labels{/name} | ### 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... | 2024-01-24T15:02:06Z | 6,359 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-27T12:01:51Z | https://api.github.com/repos/huggingface/datasets/issues/6359/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6359/timeline | Stuck in "Resolving data files..." | https://api.github.com/repos/huggingface/datasets/issues/6359/events | 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... | {
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1,965,014,595 | https://api.github.com/repos/huggingface/datasets/issues/6358/labels{/name} | ### 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... | 2023-11-28T14:47:12Z | 6,358 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-27T08:20:27Z | https://api.github.com/repos/huggingface/datasets/issues/6358/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6358/timeline | Mounting datasets cache fails due to absolute paths. | https://api.github.com/repos/huggingface/datasets/issues/6358/events | 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).",
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1,964,653,995 | https://api.github.com/repos/huggingface/datasets/issues/6357/labels{/name} | ### 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... | 2023-10-27T02:31:16Z | 6,357 | null | https://api.github.com/repos/huggingface/datasets | null | [
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1,964,015,802 | https://api.github.com/repos/huggingface/datasets/issues/6356/labels{/name} | ... to make debugging issues easier, as `fsspec`'s releases often introduce breaking changes. | 2023-10-26T18:42:56Z | 6,356 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-10-26T17:19:25Z | https://api.github.com/repos/huggingface/datasets/issues/6356/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6356/timeline | Add `fsspec` version to the `datasets-cli env` command output | https://api.github.com/repos/huggingface/datasets/issues/6356/events | 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... | {
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1,963,979,896 | https://api.github.com/repos/huggingface/datasets/issues/6355/labels{/name} | 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... | 2024-01-11T06:34:16Z | 6,355 | null | https://api.github.com/repos/huggingface/datasets | true | [] | 2023-10-26T16:54:46Z | https://api.github.com/repos/huggingface/datasets/issues/6355/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6355/timeline | More hub centric docs | https://api.github.com/repos/huggingface/datasets/issues/6355/events | 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... | {
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1,963,483,324 | https://api.github.com/repos/huggingface/datasets/issues/6354/labels{/name} | ### 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... | 2023-11-14T18:46:03Z | 6,354 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-26T12:43:36Z | https://api.github.com/repos/huggingface/datasets/issues/6354/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6354/timeline | `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` | https://api.github.com/repos/huggingface/datasets/issues/6354/events | 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... | {
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1,962,646,450 | https://api.github.com/repos/huggingface/datasets/issues/6353/labels{/name} | ### 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... | 2024-04-03T05:31:01Z | 6,353 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-26T03:47:06Z | https://api.github.com/repos/huggingface/datasets/issues/6353/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6353/timeline | load_dataset save_to_disk load_from_disk error | https://api.github.com/repos/huggingface/datasets/issues/6353/events | 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_... | {
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1,962,296,057 | https://api.github.com/repos/huggingface/datasets/issues/6352/labels{/name} | 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... | 2024-03-19T16:46:22Z | 6,352 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-25T21:55:31Z | https://api.github.com/repos/huggingface/datasets/issues/6352/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6352/timeline | Error loading wikitext data raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.") | https://api.github.com/repos/huggingface/datasets/issues/6352/events | 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... | {
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1,961,982,988 | https://api.github.com/repos/huggingface/datasets/issues/6351/labels{/name} | 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. | 2023-10-26T17:19:49Z | 6,351 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-10-25T18:21:08Z | https://api.github.com/repos/huggingface/datasets/issues/6351/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6351/timeline | Fix use_dataset.mdx | https://api.github.com/repos/huggingface/datasets/issues/6351/events | 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... | {
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1,961,869,203 | https://api.github.com/repos/huggingface/datasets/issues/6350/labels{/name} | ### 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... | 2023-10-26T21:03:06Z | 6,350 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-25T17:08:39Z | https://api.github.com/repos/huggingface/datasets/issues/6350/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6350/timeline | Different objects are returned from calls that should be returning the same kind of object. | https://api.github.com/repos/huggingface/datasets/issues/6350/events | 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... | {
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1,961,435,673 | https://api.github.com/repos/huggingface/datasets/issues/6349/labels{/name} | ### 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... | 2024-03-20T15:09:53Z | 6,349 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-25T13:29:51Z | https://api.github.com/repos/huggingface/datasets/issues/6349/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6349/timeline | Can't load ds = load_dataset("imdb") | https://api.github.com/repos/huggingface/datasets/issues/6349/events | 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",
"I am getting the following error:\r\nEnv: Python3.10\r\ndatasets: 2.10.1\r\nLinux: Amazon Linux2\r\n\r\n`Traceback (most recent call last):\r\n File \"<stdin>\", line 1, ... | {
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1,961,268,504 | https://api.github.com/repos/huggingface/datasets/issues/6348/labels{/name} | 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 | 2023-10-25T12:13:07Z | 6,348 | null | https://api.github.com/repos/huggingface/datasets | null | [
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1,959,004,835 | https://api.github.com/repos/huggingface/datasets/issues/6347/labels{/name} | ### 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... | 2023-10-25T13:05:21Z | 6,347 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-24T11:01:21Z | https://api.github.com/repos/huggingface/datasets/issues/6347/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6347/timeline | Incorrect example code in 'Create a dataset' docs | https://api.github.com/repos/huggingface/datasets/issues/6347/events | 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 :)"
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1,958,777,076 | https://api.github.com/repos/huggingface/datasets/issues/6346/labels{/name} | 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(
batch["text"],
truncation=True,
max_length=context_length,
r... | 2023-10-25T17:39:17Z | 6,346 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-10-24T08:38:43Z | https://api.github.com/repos/huggingface/datasets/issues/6346/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6346/timeline | Fix UnboundLocalError if preprocessing returns an empty list | https://api.github.com/repos/huggingface/datasets/issues/6346/events | null | {
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1,957,707,870 | https://api.github.com/repos/huggingface/datasets/issues/6345/labels{/name} | ### 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... | 2023-10-23T17:55:37Z | 6,345 | null | https://api.github.com/repos/huggingface/datasets | null | [
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1,956,875,259 | https://api.github.com/repos/huggingface/datasets/issues/6337/labels{/name} | Pin upper version of `fsspec` to avoid disruptions introduced by breaking changes (and the need of urgent patch releases with hotfixes) on each release on their side. See:
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- #5731
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- #5447
I propose that we explicitly test, introduce fixes and support each new `fsspec` version release.
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1,956,740,818 | https://api.github.com/repos/huggingface/datasets/issues/6335/labels{/name} | Fix #6333. | 2024-01-11T06:33:35Z | 6,335 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-10-23T09:29:17Z | https://api.github.com/repos/huggingface/datasets/issues/6335/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6335/timeline | Support fsspec 2023.10.0 | https://api.github.com/repos/huggingface/datasets/issues/6335/events | null | {
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1,956,719,774 | https://api.github.com/repos/huggingface/datasets/issues/6334/labels{/name} | Close #6330, close #6333.
`fsspec.implementations.LocalFilesystem.protocol`
was changed from `str` "file" to `tuple[str,...]` ("file", "local") in `fsspec>=2023.10.0`
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1,956,714,423 | https://api.github.com/repos/huggingface/datasets/issues/6333/labels{/name} | Once root issue is fixed, remove temporary pin of fsspec < 2023.10.0 introduced by:
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Related to issue:
- #6330
As @ZachNagengast suggested, the issue might be related to:
- https://github.com/fsspec/filesystem_spec/pull/1381 | 2024-02-07T12:39:58Z | 6,333 | null | https://api.github.com/repos/huggingface/datasets | null | [] | 2023-10-23T09:14:53Z | https://api.github.com/repos/huggingface/datasets/issues/6333/comments | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | completed | MEMBER | 2024-02-07T12:39:58Z | null | I_kwDODunzps50oRe3 | [
"Hi @albertvillanova @lhoestq \r\n\r\nI believe the pull request that pins the fsspec version (https://github.com/huggingface/datasets/pull/6331) was merged by mistake. Another fix for the issue was merged on the same day an hour apart. See https://github.com/huggingface/datasets/pull/6334\r\n\r\nI'm now having an ... | {
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1,956,697,328 | https://api.github.com/repos/huggingface/datasets/issues/6332/labels{/name} | 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`
!!
... | 2023-11-07T08:23:10Z | 6,332 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-10-23T09:05:26Z | https://api.github.com/repos/huggingface/datasets/issues/6332/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6332/timeline | Replace deprecated license_file in setup.cfg | https://api.github.com/repos/huggingface/datasets/issues/6332/events | null | {
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"diff_url": "https://github.com/huggingface/datasets/pull/6332.diff",
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"patch_url": "https://github.com/huggingface/datasets/pull/6332.patch",
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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... | {
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1,956,671,256 | https://api.github.com/repos/huggingface/datasets/issues/6331/labels{/name} | Temporarily pin fsspec < 2023.10.0 until permanent solution is found.
Hot fix #6330.
See: https://github.com/huggingface/datasets/actions/runs/6610904287/job/17953774987
```
...
ERROR tests/test_iterable_dataset.py::test_iterable_dataset_from_file - NotImplementedError: Loading a dataset cached in a LocalFileS... | 2023-10-23T09:26:42Z | 6,331 | null | https://api.github.com/repos/huggingface/datasets | false | [] | 2023-10-23T08:51:50Z | https://api.github.com/repos/huggingface/datasets/issues/6331/comments | null | https://api.github.com/repos/huggingface/datasets/issues/6331/timeline | Temporarily pin fsspec < 2023.10.0 | https://api.github.com/repos/huggingface/datasets/issues/6331/events | 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... | {
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