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https://api.github.com/repos/huggingface/datasets/issues/6350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6350/comments | https://api.github.com/repos/huggingface/datasets/issues/6350/events | https://github.com/huggingface/datasets/issues/6350 | 1,961,869,203 | I_kwDODunzps5077-T | 6,350 | Different objects are returned from calls that should be returning the same kind of object. | {
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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... | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6349 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6349/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6349/comments | https://api.github.com/repos/huggingface/datasets/issues/6349/events | https://github.com/huggingface/datasets/issues/6349 | 1,961,435,673 | I_kwDODunzps506SIZ | 6,349 | Can't load ds = load_dataset("imdb") | {
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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... | {
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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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] | open | false | null | [] | null | 0 | 2023-10-25T12:12:44 | 2023-10-25T12:13:07 | null | CONTRIBUTOR | null | 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 | {
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https://api.github.com/repos/huggingface/datasets/issues/6347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6347/comments | https://api.github.com/repos/huggingface/datasets/issues/6347/events | https://github.com/huggingface/datasets/issues/6347 | 1,959,004,835 | I_kwDODunzps50xAqj | 6,347 | Incorrect example code in 'Create a dataset' docs | {
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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... | {
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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 :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/6346 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6346/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6346/comments | https://api.github.com/repos/huggingface/datasets/issues/6346/events | https://github.com/huggingface/datasets/pull/6346 | 1,958,777,076 | PR_kwDODunzps5dnZM_ | 6,346 | Fix UnboundLocalError if preprocessing returns an empty list | {
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```
def tokenize(batch, tokenizer, context_length):
outputs = tokenizer(
batch["text"],
truncation=True,
max_length=context_length,
r... | {
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] | open | false | null | [] | null | 0 | 2023-10-23T17:55:37 | 2023-10-23T17:55:37 | null | NONE | null | ### 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... | {
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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... |
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"closing in favor of https://github.com/huggingface/datasets/pull/6337",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6338). All of your documentation changes will be reflected on that endpoint."
] |
https://api.github.com/repos/huggingface/datasets/issues/6337 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6337/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6337/comments | https://api.github.com/repos/huggingface/datasets/issues/6337/events | https://github.com/huggingface/datasets/pull/6337 | 1,956,875,259 | PR_kwDODunzps5dg9Uu | 6,337 | Pin supported upper version of fsspec | {
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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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https://api.github.com/repos/huggingface/datasets/issues/6336 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6336/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6336/comments | https://api.github.com/repos/huggingface/datasets/issues/6336/events | https://github.com/huggingface/datasets/pull/6336 | 1,956,827,232 | PR_kwDODunzps5dgy0w | 6,336 | unpin-fsspec | {
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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... |
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`fsspec.implementations.LocalFilesystem.protocol`
was changed from `str` "file" to `tuple[str,...]` ("file", "local") in `fsspec>=2023.10.0`
This commit supports both styles. | {
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https://api.github.com/repos/huggingface/datasets/issues/6333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6333/comments | https://api.github.com/repos/huggingface/datasets/issues/6333/events | https://github.com/huggingface/datasets/issues/6333 | 1,956,714,423 | I_kwDODunzps50oRe3 | 6,333 | Support fsspec 2023.10.0 | {
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"followers_... | null | 4 | 2023-10-23T09:14:53 | 2024-02-07T12:39:58 | 2024-02-07T12:39:58 | MEMBER | null | 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 | {
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"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 ... |
https://api.github.com/repos/huggingface/datasets/issues/6332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6332/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6332/comments | https://api.github.com/repos/huggingface/datasets/issues/6332/events | https://github.com/huggingface/datasets/pull/6332 | 1,956,697,328 | PR_kwDODunzps5dgW3w | 6,332 | Replace deprecated license_file in setup.cfg | {
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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`
!!
... | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6331 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6331/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6331/comments | https://api.github.com/repos/huggingface/datasets/issues/6331/events | https://github.com/huggingface/datasets/pull/6331 | 1,956,671,256 | PR_kwDODunzps5dgRQt | 6,331 | Temporarily pin fsspec < 2023.10.0 | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6330 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6330/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6330/comments | https://api.github.com/repos/huggingface/datasets/issues/6330/events | https://github.com/huggingface/datasets/issues/6330 | 1,956,053,294 | I_kwDODunzps50lwEu | 6,330 | Latest fsspec==2023.10.0 issue with streaming datasets | {
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"followers_... | null | 6 | 2023-10-22T20:57:10 | 2023-11-07T10:02:14 | 2023-10-23T09:17:56 | CONTRIBUTOR | null | ### Describe the bug
Loading a streaming dataset with this version of fsspec fails with the following error:
`NotImplementedError: Loading a streaming dataset cached in a LocalFileSystem is not supported yet.`
I suspect the issue is with this PR
https://github.com/fsspec/filesystem_spec/pull/1381
### Steps ... | {
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"I also encountered a similar error below.\r\nAppreciate the team could shed some light on this issue.\r\n\r\n```\r\n---------------------------------------------------------------------------\r\nNotImplementedError Traceback (most recent call last)\r\n[/home/ubuntu/work/EveryDream2trainer/pre... |
https://api.github.com/repos/huggingface/datasets/issues/6329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6329/comments | https://api.github.com/repos/huggingface/datasets/issues/6329/events | https://github.com/huggingface/datasets/issues/6329 | 1,955,858,020 | I_kwDODunzps50lAZk | 6,329 | شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی | {
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https://api.github.com/repos/huggingface/datasets/issues/6328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6328/comments | https://api.github.com/repos/huggingface/datasets/issues/6328/events | https://github.com/huggingface/datasets/issues/6328 | 1,955,857,904 | I_kwDODunzps50lAXw | 6,328 | شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی | {
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https://api.github.com/repos/huggingface/datasets/issues/6327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6327/comments | https://api.github.com/repos/huggingface/datasets/issues/6327/events | https://github.com/huggingface/datasets/issues/6327 | 1,955,470,755 | I_kwDODunzps50jh2j | 6,327 | FileNotFoundError when trying to load the downloaded dataset with `load_dataset(..., streaming=True)` | {
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Hi, I'm trying to load the dataset `togethercomputer/RedPajama-Data-1T-Sample` with `load_dataset` in streaming mode, i.e., `streaming=True`, but `FileNotFoundError` occurs.
### Steps to reproduce the bug
I've downloaded the dataset and save it to the cache dir in advance. My hope is loadi... | {
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"You can clone the `togethercomputer/RedPajama-Data-1T-Sample` repo and load the dataset with `load_dataset(\"path/to/cloned_repo\")` to use it offline.",
"@mariosasko Thank you for your kind reply! I'll try it as a workaround.\r\nDoes that mean that currently it's not supported to simply load with a short name?"... |
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https://api.github.com/repos/huggingface/datasets/issues/6325 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6325/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6325/comments | https://api.github.com/repos/huggingface/datasets/issues/6325/events | https://github.com/huggingface/datasets/pull/6325 | 1,955,420,178 | PR_kwDODunzps5dcSM3 | 6,325 | Create battery_analysis.py | {
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https://api.github.com/repos/huggingface/datasets/issues/6324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6324/comments | https://api.github.com/repos/huggingface/datasets/issues/6324/events | https://github.com/huggingface/datasets/issues/6324 | 1,955,126,687 | I_kwDODunzps50iN2f | 6,324 | Conversion to Arrow fails due to wrong type heuristic | {
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I have a list of dictionaries with valid/JSON-serializable values.
One key is the denominator for a paragraph. In 99.9% of cases its a number, but there are some occurences of '1a', '2b' and so on.
If trying to convert this list to a dataset with `Dataset.from_list()`, I always get
`ArrowI... | {
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"Unlike Pandas, Arrow is strict with types, so converting the problematic strings to ints (or ints to strings) to ensure all the values have the same type is the only fix. \r\n\r\nJSON support has been requested in Arrow [here](https://github.com/apache/arrow/issues/32538), but I don't expect this to be implemented... |
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Since updating to >2.14 we have very slow access to our parquet files on GCS when loading a dataset (>30 min vs 3s). Our GCS bucket has many objects and resolving globs is very slow. I could track down the problem to this change:
https://github.com/huggingface/datasets/blame/bade7af74437347a76083... | {
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https://api.github.com/repos/huggingface/datasets/issues/6322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6322/comments | https://api.github.com/repos/huggingface/datasets/issues/6322/events | https://github.com/huggingface/datasets/pull/6322 | 1,952,947,461 | PR_kwDODunzps5dT5vG | 6,322 | Fix regex `get_data_files` formatting for base paths | {
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- Input: `hf://datasets/...`
- Output: `hf:/datasets/...`... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> The reason why I used the the glob_pattern_to_regex in the entire pattern is because otherwise I got an error for Windows local paths: a base_path like 'C:\\\\Users\\\\runneradmin... made the function string_to_dict raise re.error:... |
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6320/comments | https://api.github.com/repos/huggingface/datasets/issues/6320/events | https://github.com/huggingface/datasets/issues/6320 | 1,952,618,316 | I_kwDODunzps50YpdM | 6,320 | Dataset slice splits can't load training and validation at the same time | {
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According to the [documentation](https://huggingface.co/docs/datasets/v2.14.5/loading#slice-splits) is should be possible to run the following command:
`train_test_ds = datasets.load_dataset("bookcorpus", split="train+test")`
to load the train and test sets from the dataset.
However ex... | {
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"The expression \"train+test\" concatenates the splits.\r\n\r\nThe individual splits as separate datasets can be obtained as follows:\r\n```python\r\ntrain_ds, test_ds = load_dataset(\"<dataset_name>\", split=[\"train\", \"test\"])\r\ntrain_10pct_ds, test_10pct_ds = load_dataset(\"<dataset_name>\", split=[\"train[:... |
https://api.github.com/repos/huggingface/datasets/issues/6319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6319/comments | https://api.github.com/repos/huggingface/datasets/issues/6319/events | https://github.com/huggingface/datasets/issues/6319 | 1,952,101,717 | I_kwDODunzps50WrVV | 6,319 | Datasets.map is severely broken | {
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Regardless of how many cores I used, I have 16 or 32 threads, map slows down to a crawl at around 80% done, lingers maybe until 97% extremely slowly and NEVER finishes the job. It just hangs.
After watching this for 27 hours I control-C out of it. Until the end one process appears to be doing s... | {
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"Hi! Instead of processing a single example at a time, you should use the batched `map` for the best performance (with `num_proc=1`) - the fast tokenizers can process a batch's samples in parallel in that scenario.\r\n\r\nE.g., the following code in Colab takes an hour to complete:\r\n```python\r\n# !pip install da... |
https://api.github.com/repos/huggingface/datasets/issues/6318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6318/comments | https://api.github.com/repos/huggingface/datasets/issues/6318/events | https://github.com/huggingface/datasets/pull/6318 | 1,952,100,706 | PR_kwDODunzps5dRC9V | 6,318 | Deterministic set hash | {
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This is useful to get deterministic hashes of tokenizers that use a trie based on python sets.
reported in https://github.com/huggingface/datasets/issues/3847 | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6317/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6317/comments | https://api.github.com/repos/huggingface/datasets/issues/6317/events | https://github.com/huggingface/datasets/issues/6317 | 1,951,965,668 | I_kwDODunzps50WKHk | 6,317 | sentiment140 dataset unavailable | {
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"followers_... | null | 2 | 2023-10-19T11:25:21 | 2023-10-19T13:04:56 | 2023-10-19T13:04:56 | NONE | null | ### Describe the bug
loading the dataset using load_dataset("sentiment140") returns the following error
ConnectionError: Couldn't reach http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip (error 403)
### Steps to reproduce the bug
Run the following code (version should not matter).
```
from data... | {
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"Thanks for reporting. We are investigating the issue.",
"We have opened an issue in the corresponding Hub dataset: https://huggingface.co/datasets/sentiment140/discussions/3\r\n\r\nLet's continue the discussion there."
] |
https://api.github.com/repos/huggingface/datasets/issues/6316 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6316/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6316/comments | https://api.github.com/repos/huggingface/datasets/issues/6316/events | https://github.com/huggingface/datasets/pull/6316 | 1,951,819,869 | PR_kwDODunzps5dQGpg | 6,316 | Fix loading Hub datasets with CSV metadata file | {
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"followers_url": "https://api.g... | [] | closed | false | null | [] | null | 4 | 2023-10-19T10:21:34 | 2023-10-20T06:23:21 | 2023-10-20T06:14:09 | MEMBER | null | Currently, the reading of the metadata file infers the file extension (.jsonl or .csv) from the passed filename. However, downloaded files from the Hub don't have file extension. For example:
- the original file: `hf://datasets/__DUMMY_TRANSFORMERS_USER__/test-dataset-5916a4-16977085077831/metadata.jsonl`
- correspon... | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6315/comments | https://api.github.com/repos/huggingface/datasets/issues/6315/events | https://github.com/huggingface/datasets/issues/6315 | 1,951,800,819 | I_kwDODunzps50Vh3z | 6,315 | Hub datasets with CSV metadata raise ArrowInvalid: JSON parse error: Invalid value. in row 0 | {
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"followers_... | null | 0 | 2023-10-19T10:11:29 | 2023-10-20T06:14:10 | 2023-10-20T06:14:10 | MEMBER | null | When trying to load a Hub dataset that contains a CSV metadata file, it raises an `ArrowInvalid` error:
```
E pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
pyarrow/error.pxi:100: ArrowInvalid
```
See: https://huggingface.co/datasets/lukarape/public_small_papers/discussions/1 | {
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https://api.github.com/repos/huggingface/datasets/issues/6314 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6314/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6314/comments | https://api.github.com/repos/huggingface/datasets/issues/6314/events | https://github.com/huggingface/datasets/pull/6314 | 1,951,684,763 | PR_kwDODunzps5dPo25 | 6,314 | Support creating new branch in push_to_hub | {
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https://api.github.com/repos/huggingface/datasets/issues/6313 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6313/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6313/comments | https://api.github.com/repos/huggingface/datasets/issues/6313/events | https://github.com/huggingface/datasets/pull/6313 | 1,951,527,712 | PR_kwDODunzps5dPGmL | 6,313 | Fix commit message formatting in multi-commit uploads | {
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- `Upload dataset (part 00000-of-00002)`
- `Upload dataset (part 00000-of-00002) (part 00001-of-00002)`
Introduced in https://github.com/huggingface/datasets/pull/6269
This PR fixes this issue to have
- `Upload dataset (part 00000-of-00002)`
- `Upload dataset... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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https://api.github.com/repos/huggingface/datasets/issues/6312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6312/comments | https://api.github.com/repos/huggingface/datasets/issues/6312/events | https://github.com/huggingface/datasets/pull/6312 | 1,950,128,416 | PR_kwDODunzps5dKWDF | 6,312 | docs: resolving namespace conflict, refactored variable | {
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The variable name 'time' was being used in a way that could potentially lead to a namespace conflict with Python's built-in 'time' module. It is not a good conven... | {
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https://api.github.com/repos/huggingface/datasets/issues/6311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6311/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6311/comments | https://api.github.com/repos/huggingface/datasets/issues/6311/events | https://github.com/huggingface/datasets/issues/6311 | 1,949,304,993 | I_kwDODunzps50MAih | 6,311 | cast_column to Sequence with length=4 occur exception raise in datasets/table.py:2146 | {
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i load a dataset from local csv file which has 187383612 examples, then use `map` to generate new columns for test.
here is my code :
```
import os
from datasets import load_dataset
from datasets.features import Sequence, Value
def add_new_path(example):
example["ais_bbox"] =... | {
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"Thanks for reporting! We've spotted the bugs with the `array.values` handling and are fixing them in https://github.com/huggingface/datasets/pull/6283 (should be part of the next release).",
"> Thanks for reporting! We've spotted the bugs with the `array.values` handling and are fixing them in #6283 (should be p... |
https://api.github.com/repos/huggingface/datasets/issues/6310 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6310/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6310/comments | https://api.github.com/repos/huggingface/datasets/issues/6310/events | https://github.com/huggingface/datasets/pull/6310 | 1,947,457,988 | PR_kwDODunzps5dBPnY | 6,310 | Add return_file_name in load_dataset | {
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Added an optional parameter `return_file_name` in the dataset builder config. When set to `True`, the function will include the file name corresponding to the sample in the returned output.
There is a difference between arrow-based and folder-based datasets to return the file name:
- fo... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6310). All of your documentation changes will be reflected on that endpoint.",
"> Thanks for the change !\r\n> \r\n> Since `return` in python often refers to what is actually returned by the function (here `load_dataset`), I th... |
https://api.github.com/repos/huggingface/datasets/issues/6309 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6309/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6309/comments | https://api.github.com/repos/huggingface/datasets/issues/6309/events | https://github.com/huggingface/datasets/pull/6309 | 1,946,916,969 | PR_kwDODunzps5c_YcX | 6,309 | Fix get_data_patterns for directories with the word data twice | {
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- For the URL path: `hf://datasets/piuba-bigdata/articles_and_comments@f328d536425ae8fcac5d098c8408f437bffdd357/data/train-00001-of-00009.parquet` (note the org name `piuba-bigdata/` ending with `data/`)
- The in... | {
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https://api.github.com/repos/huggingface/datasets/issues/6308 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6308/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6308/comments | https://api.github.com/repos/huggingface/datasets/issues/6308/events | https://github.com/huggingface/datasets/issues/6308 | 1,946,810,625 | I_kwDODunzps50CfkB | 6,308 | module 'resource' has no attribute 'error' | {
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just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow... | {
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"This (Windows) issue was fixed in `fsspec` in https://github.com/fsspec/filesystem_spec/pull/1275. So, to avoid the error, update the `fsspec` installation with `pip install -U fsspec`.",
"> This (Windows) issue was fixed in `fsspec` in [fsspec/filesystem_spec#1275](https://github.com/fsspec/filesystem_spec/pul... |
https://api.github.com/repos/huggingface/datasets/issues/6307 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6307/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6307/comments | https://api.github.com/repos/huggingface/datasets/issues/6307/events | https://github.com/huggingface/datasets/pull/6307 | 1,946,414,808 | PR_kwDODunzps5c9s0j | 6,307 | Fix typo in code example in docs | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6306/comments | https://api.github.com/repos/huggingface/datasets/issues/6306/events | https://github.com/huggingface/datasets/issues/6306 | 1,946,363,452 | I_kwDODunzps50AyY8 | 6,306 | pyinstaller : OSError: could not get source code | {
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I ran a package with pyinstaller and got the following error：
### Steps to reproduce the bug
```
...
File "datasets\__init__.py", line 52, in <module>
File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
File "<frozen importlib._bootstrap>", line 1006, in _find_an... | {
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"more information：\r\n``` \r\nFile \"text2vec\\__init__.py\", line 8, in <module>\r\nFile \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\r\nFile \"<frozen importlib._bootstrap>\", line 1006, in _find_and_load_unlocked\r\nFile \"<frozen importlib._bootstrap>\", line 688, in _load_unlocked\r\nFile \"... |
https://api.github.com/repos/huggingface/datasets/issues/6305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6305/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6305/comments | https://api.github.com/repos/huggingface/datasets/issues/6305/events | https://github.com/huggingface/datasets/issues/6305 | 1,946,010,912 | I_kwDODunzps5z_cUg | 6,305 | Cannot load dataset with `2.14.5`: `FileNotFound` error | {
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"followers_... | null | 2 | 2023-10-16T20:11:27 | 2023-10-18T13:50:36 | 2023-10-18T13:50:36 | NONE | null | ### Describe the bug
I'm trying to load [piuba-bigdata/articles_and_comments] and I'm stumbling with this error on `2.14.5`. However, this works on `2.10.0`.
### Steps to reproduce the bug
[Colab link](https://colab.research.google.com/drive/1SAftFMQnFE708ikRnJJHIXZV7R5IBOCE#scrollTo=r2R2ipCCDmsg)
```python
D... | {
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"Thanks for reporting, @finiteautomata.\r\n\r\nWe are investigating it. ",
"There is a bug in `datasets`. You can see our proposed fix:\r\n- #6309 "
] |
https://api.github.com/repos/huggingface/datasets/issues/6304 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6304/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6304/comments | https://api.github.com/repos/huggingface/datasets/issues/6304/events | https://github.com/huggingface/datasets/pull/6304 | 1,945,913,521 | PR_kwDODunzps5c7-4q | 6,304 | Update README.md | {
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Tensorflow --> TensorFlow
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6303 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6303/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6303/comments | https://api.github.com/repos/huggingface/datasets/issues/6303/events | https://github.com/huggingface/datasets/issues/6303 | 1,943,466,532 | I_kwDODunzps5z1vIk | 6,303 | Parquet uploads off-by-one naming scheme | {
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I noticed this numbering scheme not matching up in a different project and wanted to raise it as an issue for discussion, what is the actual proper way to have these stored?
<img width="425" alt="image" src="https://github.com/huggingface/datasets/assets/1981179/3ffa2144-7c9a-446f-b521-a5e9db71... | {
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"You can find the reasoning behind this naming scheme [here](https://github.com/huggingface/transformers/pull/16343#discussion_r931182168).\r\n\r\nThis point has been raised several times, so I'd be okay with starting with `00001-` (also to be consistent with the `transformers` sharding), but I'm not sure @lhoestq ... |
https://api.github.com/repos/huggingface/datasets/issues/6302 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6302/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6302/comments | https://api.github.com/repos/huggingface/datasets/issues/6302/events | https://github.com/huggingface/datasets/issues/6302 | 1,942,096,078 | I_kwDODunzps5zwgjO | 6,302 | ArrowWriter/ParquetWriter `write` method does not increase `_num_bytes` and hence datasets not sharding at `max_shard_size` | {
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An example from [1], does not work when limiting shards with `max_shard_size`.
Try the following example with low `max_shard_size`, such as:
```python
builder.download_and_prepare(output_dir, storage_options=storage_options, file_format="parquet", max_shard_size="10MB")
```
The reason f... | {
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"`writer._num_bytes` is updated every `writer_batch_size`-th call to the `write` method (default `writer_batch_size` is 1000 (examples)). You should be able to see the update by passing a smaller `writer_batch_size` to the `load_dataset_builder`.\r\n\r\nWe could improve this by supporting the string `writer_batch_s... |
https://api.github.com/repos/huggingface/datasets/issues/6301 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6301/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6301/comments | https://api.github.com/repos/huggingface/datasets/issues/6301/events | https://github.com/huggingface/datasets/pull/6301 | 1,940,183,999 | PR_kwDODunzps5cpPVh | 6,301 | Unpin `tensorflow` maximum version | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6300 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6300/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6300/comments | https://api.github.com/repos/huggingface/datasets/issues/6300/events | https://github.com/huggingface/datasets/pull/6300 | 1,940,153,432 | PR_kwDODunzps5cpIoG | 6,300 | Unpin `jax` maximum version | {
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fix #6202 | {
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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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Hi,
I like your idea of adapting the datasets library to be usable with JAX. Thank you for that.
However, in your [setup.py](https://github.com/huggingface/datasets/blob/main/setup.py), you enforce old versions of JAX <= 0.3... It is very cumbersome !
What is the rationale for such a lim... | {
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* adds two new sections (to be aligned with `transformers` and `hfh`): "Previewing the documentation" and "Writing documentation examples"
* replaces the mentions of `transformers` with `datasets`
* fixes some dead links | {
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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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Fix https://github.com/huggingface/datasets/issues/6293 | {
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I am encountering an `IndexError` when trying to access data from a DataLoader which wraps around a dataset I've loaded using the `datasets` library. The error suggests that the dataset size is `0`, but when I check the length and print the dataset, it's clear that it has `1166` entries.
### Step... | {
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"It looks to be the same issue as the one reported in https://discuss.huggingface.co/t/indexerror-invalid-key-16-is-out-of-bounds-for-size-0.\r\n\r\nCan you check the length of `train_dataset` before the `train_sampler = self._get_train_sampler()` (and after `_remove_unused_columns`) line?"
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```
Tried to load parquet data with columns '['link']' with mismatching features '{'caption': Value(dtype='string', id=None), 'image': {'bytes': Value(dtype='binary', id=None), 'path': Value(dtype='null', id=None)}, 'link': Value(dtype='string', id=... | {
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{
"image": datasets.Image(),
"text": datasets.Value("string"),
},
)
The datasets builder seems only support the unit8 data. How to load the float dtype data? | {
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"Hi! Can you provide a code that reproduces the issue?\r\n\r\nAlso, which version of `datasets` are you using? You can check this by running `python -c \"import datasets; print(datasets.__version__)\"` inside the env. We added support for \"float images\" in `datasets 2.9`."
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I am on a school project and the initial type for feature annotations are `Array2D(shape=(None, 4))`. I am trying to cast this type to a `float64` and pyarrow gives me this error :
```
Traceback (most recent call last):
File "/home/alan/dev/ClassezDesImagesAvecDesAlgorithmesDeDeeplearnin... | {
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"Thanks for reporting! I've opened a PR with a fix"
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Have the possibility to do `ds.push_to_hub(..., append=True)`.
### Motivation
Requested in this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/3#65252597c4edc168202a5eaa) and
this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/4#6524f675... | {
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"Yea I think waiting for #6269 would be best, or branching from it. For reference, this [PR](https://github.com/LAION-AI/Discord-Scrapers/pull/2) is progressing pretty well which will do similar using the hf hub for our LAION dataset bot https://github.com/LAION-AI/Discord-Scrapers/pull/2. "
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"A duplicate of https://github.com/huggingface/datasets/issues/4796.\r\n\r\nWe could get this for free by implementing the `Image` feature as an extension type, as shown in [this](https://colab.research.google.com/drive/1Uzm_tXVpGTwbzleDConWcNjacwO1yxE4?usp=sharing) Colab (example with UUIDs).\r\n",
"+1 to this\r... |
https://api.github.com/repos/huggingface/datasets/issues/6287 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6287/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6287/comments | https://api.github.com/repos/huggingface/datasets/issues/6287/events | https://github.com/huggingface/datasets/issues/6287 | 1,932,758,192 | I_kwDODunzps5zM4yw | 6,287 | map() not recognizing "text" | {
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The [map() documentation](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/main_classes#datasets.Dataset.map) reads:
`
ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True)`
I have been trying to reproduce it in my code as:
`tokenizedData... | {
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"There is no \"text\" column in the `amazon_reviews_multi`, hence the `KeyError`. You can get the column names by running `dataset.column_names`."
] |
https://api.github.com/repos/huggingface/datasets/issues/6286 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6286/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6286/comments | https://api.github.com/repos/huggingface/datasets/issues/6286/events | https://github.com/huggingface/datasets/pull/6286 | 1,932,640,128 | PR_kwDODunzps5cPKNK | 6,286 | Create DefunctDatasetError | {
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See Hub discussion: https://huggingface.co/datasets/the_pile_books3/discussions/7#6523c13a94f3a1a2092d251b | {
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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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my dataset is in form : train- image /n -labels
and tried the code:
```
from datasets import load_dataset
data_files = {
"train": "/content/datasets/PotholeDetectionYOLOv8-1/train/",
"validation": "/content/datasets/PotholeDetectionYOLOv8-1/valid/",
"test": "/content/dat... | {
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"You should be able to load the images by modifying the `load_dataset` call like this:\r\n```python\r\ndataset = load_dataset(\"imagefolder\", data_dir=\"/content/datasets/PotholeDetectionYOLOv8-1\")\r\n```\r\n\r\nThe `imagefolder` builder expects the image files to be in `path/label/image_file` (e.g. .`.../train/d... |
https://api.github.com/repos/huggingface/datasets/issues/6284 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6284/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6284/comments | https://api.github.com/repos/huggingface/datasets/issues/6284/events | https://github.com/huggingface/datasets/issues/6284 | 1,929,551,712 | I_kwDODunzps5zAp9g | 6,284 | Add Belebele multiple-choice machine reading comprehension (MRC) dataset | {
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Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models in high-, medium-, and low-resource languages. Each question has four multiple-choice answers and is linked to a short pass... | {
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"This dataset is already available on the Hub: https://huggingface.co/datasets/facebook/belebele.\r\n"
] |
https://api.github.com/repos/huggingface/datasets/issues/6283 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6283/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6283/comments | https://api.github.com/repos/huggingface/datasets/issues/6283/events | https://github.com/huggingface/datasets/pull/6283 | 1,928,552,257 | PR_kwDODunzps5cBlKq | 6,283 | Fix array cast/embed with null values | {
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Fix #6280, fix #6311, fix #6360
(Also fixes https://github.com/huggingface/datasets/issues/5430 to make Beam compatible with PyArrow>=... | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6282 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6282/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6282/comments | https://api.github.com/repos/huggingface/datasets/issues/6282/events | https://github.com/huggingface/datasets/pull/6282 | 1,928,473,630 | PR_kwDODunzps5cBT5p | 6,282 | Drop data_files duplicates | {
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close https://github.com/huggingface/datasets/issues/6259
close https://github.com/huggingface/datasets/issues/6272
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"I have looked at the doc failures, and I do not think that my change caused the doc build failure, but I'm not 100% sure about that.\r\nI have high confidence that the integration test failures are not something I introduced:-)",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<sum... |
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I have a dataset with an embedding column, when I try to map that dataset I get the following exception:
```
Traceback (most recent call last):
File "/Users/jmif/.virtualenvs/llm-training/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3189, in map
for rank, done, content... | {
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"Thanks for reporting! I've opened a PR with a fix.",
"Thanks for the quick response @mariosasko! I just installed your branch via `poetry add 'git+https://github.com/huggingface/datasets#fix-array_values'` and I can confirm it works on the example provided.\r\n\r\nFollow up question for you, should `None`s be s... |
https://api.github.com/repos/huggingface/datasets/issues/6279 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6279/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6279/comments | https://api.github.com/repos/huggingface/datasets/issues/6279/events | https://github.com/huggingface/datasets/issues/6279 | 1,928,028,226 | I_kwDODunzps5y62BC | 6,279 | Batched IterableDataset | {
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Hi,
could you add an implementation of a batched `IterableDataset`. It already support an option to do batch iteration via `.iter(batch_size=...)` but this cannot be used in combination with a torch `DataLoader` since it just returns an iterator.
### Motivation
The current implementation load... | {
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"This is exactly what I was looking for. It would also be very useful for me :-)"
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https://api.github.com/repos/huggingface/datasets/issues/6278 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6278/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6278/comments | https://api.github.com/repos/huggingface/datasets/issues/6278/events | https://github.com/huggingface/datasets/pull/6278 | 1,927,957,877 | PR_kwDODunzps5b_iKb | 6,278 | No data files duplicates | {
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I also deprecated DataFilesList.
EDIT: actually I might just add drop_duplicates=True to `.from_patterns`
close https://github.com/huggingface/datasets/issues/6259
close https://github.com/huggingface/datasets/issues/6272
TODO:
- [ ] tests
... | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6277 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6277/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6277/comments | https://api.github.com/repos/huggingface/datasets/issues/6277/events | https://github.com/huggingface/datasets/issues/6277 | 1,927,044,546 | I_kwDODunzps5y3F3C | 6,277 | FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub either. | {
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I'm encountering a "FileNotFoundError" while attempting to use the "paws-x" dataset to retrain the DistilRoBERTa-base model. The error message is as follows:
FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub eit... | {
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"`evaluate.load(\"paws-x\", \"es\")` throws the error because there is no such metric in the `evaluate` lib.\r\n\r\nSo, this is unrelated to our lib."
] |
https://api.github.com/repos/huggingface/datasets/issues/6276 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6276/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6276/comments | https://api.github.com/repos/huggingface/datasets/issues/6276/events | https://github.com/huggingface/datasets/issues/6276 | 1,925,961,878 | I_kwDODunzps5yy9iW | 6,276 | I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error | {
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I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error, i'm following the steps in this blog post
https://huggingface.co/blog/fine-tune-whisper
I tried google collab and it works but because I'm on the free version the training ... | {
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"Since you are using Windows, maybe moving the `map` call inside `if __name__ == \"__main__\"` can fix the issue:\r\n```python\r\nif __name__ == \"__main__\":\r\n common_voice = common_voice.map(prepare_dataset, remove_columns=common_voice.column_names[\"train\"], num_proc=4)\r\n```\r\n\r\nOtherwise, the only s... |
https://api.github.com/repos/huggingface/datasets/issues/6275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6275/comments | https://api.github.com/repos/huggingface/datasets/issues/6275/events | https://github.com/huggingface/datasets/issues/6275 | 1,921,354,680 | I_kwDODunzps5yhYu4 | 6,275 | Would like to Contribute a dataset | {
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"Hi! The process of contributing a dataset is explained here: https://huggingface.co/docs/datasets/upload_dataset. Also, check https://huggingface.co/docs/datasets/image_dataset for a more detailed explanation of how to share an image dataset."
] |
https://api.github.com/repos/huggingface/datasets/issues/6274 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6274/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6274/comments | https://api.github.com/repos/huggingface/datasets/issues/6274/events | https://github.com/huggingface/datasets/issues/6274 | 1,921,036,328 | I_kwDODunzps5ygLAo | 6,274 | FileNotFoundError for dataset with multiple builder config | {
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When there is only one config and only the dataset name is entered when using datasets.load_dataset(), it works fine. But if I create a second builder_config for my dataset and enter the config name when using datasets.load_dataset(), the following error will happen.
FileNotFoundError: [Errno 2... | {
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"Please tell me if the above info is not enough for solving the problem. I will then make my dataset public temporarily so that you can really reproduce the bug. "
] |
https://api.github.com/repos/huggingface/datasets/issues/6273 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6273/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6273/comments | https://api.github.com/repos/huggingface/datasets/issues/6273/events | https://github.com/huggingface/datasets/issues/6273 | 1,920,922,260 | I_kwDODunzps5yfvKU | 6,273 | Broken Link to PubMed Abstracts dataset . | {
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The link provided for the dataset is broken,
data_files =
[https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst](url)
The
### Steps to reproduce the bug
Steps to reproduce:
1) Head over to [https://huggingface.co/learn/nlp-course/chapt... | {
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"This has already been reported in the HF Course repo (https://github.com/huggingface/course/issues/623).",
"@lhoestq @albertvillanova @lewtun I don't think we are allowed to host these data files on the Hub (due to DMCA), which means the only option is to use a different dataset in the course (and to re-record t... |
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```ipython
In [1]: from datasets import *
In [2]: b = load_dataset_builder("u23429/stock_1_minute_ticker")
Downloading readme: 100%|██████████████████████████| 627/627 [00:00<00:00, 246kB/s]
In [3]: b.config.data_files
Out[3]:
{NamedSplit('train'): ['hf://datasets/... | {
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"Also reported in https://github.com/huggingface/datasets/issues/6259",
"I think it's best to drop duplicates with a `set` (as a temporary fix) and improve the patterns when/if https://github.com/fsspec/filesystem_spec/pull/1382 gets merged. @lhoestq Do you have some other ideas?",
"Alternatively we could just... |
https://api.github.com/repos/huggingface/datasets/issues/6271 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6271/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6271/comments | https://api.github.com/repos/huggingface/datasets/issues/6271/events | https://github.com/huggingface/datasets/issues/6271 | 1,920,420,295 | I_kwDODunzps5yd0nH | 6,271 | Overwriting Split overwrites data but not metadata, corrupting dataset | {
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I want to be able to overwrite/update/delete splits in my dataset. Currently the only way to do is to manually go into the dataset and delete the split. If I try to overwrite programmatically I end up in an error state and (somewhat) corrupting the dataset. Read below.
**Current Behavior**
Whe... | {
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https://api.github.com/repos/huggingface/datasets/issues/6270 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6270/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6270/comments | https://api.github.com/repos/huggingface/datasets/issues/6270/events | https://github.com/huggingface/datasets/issues/6270 | 1,920,329,373 | I_kwDODunzps5ydead | 6,270 | Dataset.from_generator raises with sharded gen_args | {
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According to the docs of Datasets.from_generator:
```
gen_kwargs(`dict`, *optional*):
Keyword arguments to be passed to the `generator` callable.
You can define a sharded dataset by passing the list of shards in `gen_kwargs`.
```
So I'd expect that if gen_kwar... | {
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"`gen_kwargs` should be a `dict`, as stated in the docstring, but you are passing a `list`.\r\n\r\nSo, to fix the error, replace the list of dicts with a dict of lists (and slightly modify the generator function):\r\n```python\r\nfrom pathlib import Path\r\nimport datasets\r\n\r\ndef process_yaml(files):\r\n for... |
https://api.github.com/repos/huggingface/datasets/issues/6269 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6269/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6269/comments | https://api.github.com/repos/huggingface/datasets/issues/6269/events | https://github.com/huggingface/datasets/pull/6269 | 1,919,572,790 | PR_kwDODunzps5bjbDc | 6,269 | Reduce the number of commits in `push_to_hub` | {
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A shard's fingerprint no longer needs to be added as a suffix to support resuming an upload, meaning the shards' naming schem... | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6268 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6268/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6268/comments | https://api.github.com/repos/huggingface/datasets/issues/6268/events | https://github.com/huggingface/datasets/pull/6268 | 1,919,010,645 | PR_kwDODunzps5bhgs7 | 6,268 | Add repo_id to DatasetInfo | {
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from datasets import load_dataset
ds = load_dataset("lhoestq/demo1", split="train")
ds = ds.map(lambda x: {}, num_proc=2).filter(lambda x: True).remove_columns(["id"])
print(ds.repo_id)
# lhoestq/demo1
```
- repo_id is None when the dataset doesn't come from the Hub, e.g. from Dataset.from_dict
- ... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6268). All of your documentation changes will be reflected on that endpoint.",
"In https://github.com/huggingface/datasets/issues/4129 we want to track the origin of a dataset, e.g. if it comes from multiple datasets.\r\n\r\nI ... |
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I have a multi label dataset and I'd like to be able to class encode the column and store the mapping directly in the features just as I can with a single label column. `class_encode_column` currently does not support multi labels.
Here's an example of what I'd like to encode:
```
data = {
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"You can use a `Sequence(ClassLabel(...))` feature type to represent a list of labels, and `cast_column`/`cast` to perform the \"string to label\" conversion (`class_encode_column` does support nested fields), e.g., in your case:\r\n```python\r\nfrom datasets import Dataset, Sequence, ClassLabel\r\ndata = {\r\n ... |
https://api.github.com/repos/huggingface/datasets/issues/6266 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6266/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6266/comments | https://api.github.com/repos/huggingface/datasets/issues/6266/events | https://github.com/huggingface/datasets/pull/6266 | 1,916,334,394 | PR_kwDODunzps5bYYb8 | 6,266 | Use LibYAML with PyYAML if available | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6266). All of your documentation changes will be reflected on that endpoint.",
"On Ubuntu, if `libyaml-dev` is installed, you can install PyYAML 6.0.1 with LibYAML with the following command (as it's automatically detected):\r\... |
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Fix https://github.com/huggingface/datasets/issues/6260 | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6264 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6264/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6264/comments | https://api.github.com/repos/huggingface/datasets/issues/6264/events | https://github.com/huggingface/datasets/pull/6264 | 1,914,958,781 | PR_kwDODunzps5bTvzh | 6,264 | Temporarily pin tensorflow < 2.14.0 | {
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Hot fix #6263. | {
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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... |
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See: https://github.com/huggingface/datasets/actions/runs/6322990957/job/17169678812?pr=6262
```
FAILED tests/test_py_utils.py::TempSeedTest::test_tensorflow - ImportError: cannot import name 'context' from 'tensorflow.python' (/opt/hostedtoolcache/Python/3.10.13/x64/li... | {
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https://api.github.com/repos/huggingface/datasets/issues/6262 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6262/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6262/comments | https://api.github.com/repos/huggingface/datasets/issues/6262/events | https://github.com/huggingface/datasets/pull/6262 | 1,914,895,459 | PR_kwDODunzps5bTh6H | 6,262 | Fix CI 404 errors | {
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```
FAILED tests/test_upstream_hub.py::TestPushToHub::test_push_dataset_dict_to_hub_multiple_files_with_max_shard_size - huggingface_hub.u... | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6261/comments | https://api.github.com/repos/huggingface/datasets/issues/6261/events | https://github.com/huggingface/datasets/issues/6261 | 1,913,813,178 | I_kwDODunzps5yEni6 | 6,261 | Can't load a dataset | {
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Can't seem to load the JourneyDB dataset.
It throws the following error:
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[15], line 2
1 # If the dataset is gated/priv... | {
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"I believe is due to the fact that doesn't work with .tgz files.",
"`JourneyDB/JourneyDB` is a gated dataset, so this error means you are not authenticated to access it, either by using an invalid token or by not agreeing to the terms in the dialog on the dataset page.\r\n\r\n> I believe is due to the fact that d... |
https://api.github.com/repos/huggingface/datasets/issues/6260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6260/comments | https://api.github.com/repos/huggingface/datasets/issues/6260/events | https://github.com/huggingface/datasets/issues/6260 | 1,912,593,466 | I_kwDODunzps5x_9w6 | 6,260 | REUSE_DATASET_IF_EXISTS don't work | {
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I use the following code to download natural_question dataset. Even though I have completely download it, the next time I run this code, the new download procedure will start and cover the original /data/lxy/NQ
config=datasets.DownloadConfig(resume_download=True,max_retries=100,cache_dir=r'/da... | {
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"Hi! Unfortunately, the current behavior is to delete the downloaded data when this error happens. So, I've opened a PR that removes the problematic import to avoid losing data due to `apache_beam` not being installed (we host the preprocessed version of `natual_questions` on the HF GCS, so requiring `apache_beam` ... |
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When parquet files are saved in "train" and "val" subdirectories under a root directory, and datasets are then loaded using `load_dataset("parquet", data_dir="root_directory")`, the resulting dataset has duplicated rows for both the training and validation sets.
### Steps to reproduce the bug... | {
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"Thanks for reporting this issue! We should be able to avoid this by making our `glob` patterns more precise. In the meantime, you can load the dataset by directly assigning splits to the data files: \r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset(\"parquet\", data_files={\"train\": \"testin... |
https://api.github.com/repos/huggingface/datasets/issues/6258 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6258/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6258/comments | https://api.github.com/repos/huggingface/datasets/issues/6258/events | https://github.com/huggingface/datasets/pull/6258 | 1,911,445,373 | PR_kwDODunzps5bHxHl | 6,258 | [DOCS] Fix typo: Elasticsearch | {
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https://api.github.com/repos/huggingface/datasets/issues/6257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6257/comments | https://api.github.com/repos/huggingface/datasets/issues/6257/events | https://github.com/huggingface/datasets/issues/6257 | 1,910,741,044 | I_kwDODunzps5x45g0 | 6,257 | HfHubHTTPError - exceeded our hourly quotas for action: commit | {
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I try to upload a very large dataset of images, and get the following error:
```
File /fsx-multigen/yuvalkirstain/miniconda/envs/pickapic/lib/python3.10/site-packages/huggingface_hub/hf_api.py:2712, in HfApi.create_commit(self, repo_id, operations, commit_message, commit_description, token, repo... | {
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"how is your dataset structured? (file types, how many commits and files are you trying to push, etc)",
"I succeeded in uploading it after several attempts with an hour gap between each attempt (inconvenient but worked). The final dataset is [here](https://huggingface.co/datasets/yuvalkirstain/pickapic_v2), code ... |
https://api.github.com/repos/huggingface/datasets/issues/6256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6256/comments | https://api.github.com/repos/huggingface/datasets/issues/6256/events | https://github.com/huggingface/datasets/issues/6256 | 1,910,275,199 | I_kwDODunzps5x3Hx_ | 6,256 | load_dataset() function's cache_dir does not seems to work | {
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datasets version: 2.14.5
when trying to run the following command
trec = load_dataset('trec', split='train[:1000]', cache_dir='/path/to/my/dir')
I keep getting error saying the command does not have permission to the default cache directory on my macbook pro machine.
It seems the cache_... | {
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"Can you share the error message?\r\n\r\nAlso, it would help if you could check whether `huggingface_hub`'s download behaves the same:\r\n```python\r\nfrom huggingface_hub import snapshot_download\r\nsnapshot_download(\"trec\", repo_type=\"dataset\", cache_dir='/path/to/my/dir)\r\n```\r\n\r\nIn the next major relea... |
https://api.github.com/repos/huggingface/datasets/issues/6255 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6255/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6255/comments | https://api.github.com/repos/huggingface/datasets/issues/6255/events | https://github.com/huggingface/datasets/pull/6255 | 1,909,842,977 | PR_kwDODunzps5bCioS | 6,255 | Parallelize builder configs creation | {
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E.g. `load_dataset("uonlp/CulturaX", "fr", revision="refs/pr/6")` from >1min to 15sec | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6254/comments | https://api.github.com/repos/huggingface/datasets/issues/6254/events | https://github.com/huggingface/datasets/issues/6254 | 1,909,672,104 | I_kwDODunzps5x00io | 6,254 | Dataset.from_generator() cost much more time in vscode debugging mode then running mode | {
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Hey there,
I’m using Dataset.from_generator() to convert a torch_dataset to the Huggingface Dataset.
However, when I debug my code on vscode, I find that it runs really slow on Dataset.from_generator() which may even 20 times longer then run the script on terminal.
### Steps to reproduce the bu... | {
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"Answered on the forum: https://discuss.huggingface.co/t/dataset-from-generator-cost-much-more-time-in-vscode-debugging-mode-then-running-mode/56005/2"
] |
https://api.github.com/repos/huggingface/datasets/issues/6253 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6253/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6253/comments | https://api.github.com/repos/huggingface/datasets/issues/6253/events | https://github.com/huggingface/datasets/pull/6253 | 1,906,618,910 | PR_kwDODunzps5a3s__ | 6,253 | Check builder cls default config name in inspect | {
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this was causing this issue:
```ipython
In [1]: from datasets import *
In [2]: inspect.get_dataset_config_names("aakanksha/udpos")
Out[2]: ['default']
In [3]: load_dataset_builder("aakanksha/udpos").config.name
Out[3]: 'en'
``` | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/6252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6252/comments | https://api.github.com/repos/huggingface/datasets/issues/6252/events | https://github.com/huggingface/datasets/issues/6252 | 1,906,375,378 | I_kwDODunzps5xoPrS | 6,252 | exif_transpose not done to Image (PIL problem) | {
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"title": "3... | 2 | 2023-09-21T08:11:46 | 2024-03-19T15:29:43 | 2024-03-19T15:29:43 | NONE | null | ### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for tasks as object detection and layoutLM this ca... | {
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"Indeed, it makes sense to do this by default. \r\n\r\nIn the meantime, you can use `.with_transform` to transpose the images when accessing them:\r\n\r\n```python\r\nimport PIL.ImageOps\r\n\r\ndef exif_transpose_transform(batch):\r\n batch[\"image\"] = [PIL.ImageOps.exif_transpose(image) for image in batch[\"imag... |
https://api.github.com/repos/huggingface/datasets/issues/6251 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6251/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6251/comments | https://api.github.com/repos/huggingface/datasets/issues/6251/events | https://github.com/huggingface/datasets/pull/6251 | 1,904,418,426 | PR_kwDODunzps5awQsy | 6,251 | Support streaming datasets with pyarrow.parquet.read_table | {
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See: https://huggingface.co/datasets/uonlp/CulturaX/discussions/2
CC: @AndreaFrancis | {
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https://api.github.com/repos/huggingface/datasets/issues/6247 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6247/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6247/comments | https://api.github.com/repos/huggingface/datasets/issues/6247/events | https://github.com/huggingface/datasets/pull/6247 | 1,901,390,945 | PR_kwDODunzps5amAQ1 | 6,247 | Update create_dataset.mdx | {
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``` from datasets import AudioFolder ``` and ```from datasets import ImageFolder``` to ```from datasets import load_dataset```
```
cannot import name 'AudioFolder' from 'datasets' (/home/eswardivi/miniconda3/envs/Hugformers/lib/python3.10/site... | {
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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... |
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