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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Temporarily pin fsspec < 2023.10.0 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6331/timeline | 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... | https://api.github.com/repos/huggingface/datasets | {
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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... | completed | [] | Latest fsspec==2023.10.0 issue with streaming datasets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6330/timeline | ### 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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,956,053,294 | https://api.github.com/repos/huggingface/datasets/issues/6330/comments | I_kwDODunzps50lwEu | null | 6,330 | https://api.github.com/repos/huggingface/datasets/issues/6330/events | false |
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closed | 2023-10-21T12:27:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/6327 | null | {
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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?"... | completed | [] | FileNotFoundError when trying to load the downloaded dataset with `load_dataset(..., streaming=True)` | NONE | https://api.github.com/repos/huggingface/datasets/issues/6327/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,955,470,755 | https://api.github.com/repos/huggingface/datasets/issues/6327/comments | I_kwDODunzps50jh2j | null | 6,327 | https://api.github.com/repos/huggingface/datasets/issues/6327/events | false |
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closed | 2023-10-21T10:06:37Z | null | https://api.github.com/repos/huggingface/datasets/issues/6325 | null | {
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closed | 2023-10-20T23:20:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/6324 | null | {
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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... | completed | [] | Conversion to Arrow fails due to wrong type heuristic | NONE | https://api.github.com/repos/huggingface/datasets/issues/6324/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,955,126,687 | https://api.github.com/repos/huggingface/datasets/issues/6324/comments | I_kwDODunzps50iN2f | null | 6,324 | https://api.github.com/repos/huggingface/datasets/issues/6324/events | false |
open | 2023-10-20T12:59:55Z | null | https://api.github.com/repos/huggingface/datasets/issues/6323 | null | {
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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... | https://api.github.com/repos/huggingface/datasets | null | 1,954,245,980 | https://api.github.com/repos/huggingface/datasets/issues/6323/comments | I_kwDODunzps50e21c | null | 6,323 | https://api.github.com/repos/huggingface/datasets/issues/6323/events | false |
closed | 2023-10-19T19:45:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/6322 | null | {
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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:... | null | [] | Fix regex `get_data_files` formatting for base paths | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6322/timeline | With this pr https://github.com/huggingface/datasets/pull/6309, it is formatting the entire base path into regex, which results in the undesired formatting error `doesn't match the pattern` because of the line in `glob_pattern_to_regex`: `.replace("//", "/")`:
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- Output: `hf:/datasets/...`... | https://api.github.com/repos/huggingface/datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix typos | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6321/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-10-19T16:09:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/6320 | null | {
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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[:... | completed | [] | Dataset slice splits can't load training and validation at the same time | NONE | https://api.github.com/repos/huggingface/datasets/issues/6320/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,952,618,316 | https://api.github.com/repos/huggingface/datasets/issues/6320/comments | I_kwDODunzps50YpdM | null | 6,320 | https://api.github.com/repos/huggingface/datasets/issues/6320/events | false |
open | 2023-10-19T12:19:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/6319 | null | {
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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... | null | [] | Datasets.map is severely broken | NONE | https://api.github.com/repos/huggingface/datasets/issues/6319/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,952,101,717 | https://api.github.com/repos/huggingface/datasets/issues/6319/comments | I_kwDODunzps50WrVV | null | 6,319 | https://api.github.com/repos/huggingface/datasets/issues/6319/events | false |
closed | 2023-10-19T12:19:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/6318 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Deterministic set hash | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6318/timeline | Sort the items in a set according to their `datasets.fingerprint.Hasher.hash` hash to get a deterministic hash of sets.
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 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-10-19T11:25:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6317 | {
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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."
] | completed | [] | sentiment140 dataset unavailable | NONE | https://api.github.com/repos/huggingface/datasets/issues/6317/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,951,965,668 | https://api.github.com/repos/huggingface/datasets/issues/6317/comments | I_kwDODunzps50WKHk | null | 6,317 | https://api.github.com/repos/huggingface/datasets/issues/6317/events | false |
closed | 2023-10-19T10:21:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/6316 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Fix loading Hub datasets with CSV metadata file | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6316/timeline | 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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-10-19T10:11:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/6315 | {
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] | Hub datasets with CSV metadata raise ArrowInvalid: JSON parse error: Invalid value. in row 0 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6315/timeline | 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 | https://api.github.com/repos/huggingface/datasets | null | 1,951,800,819 | https://api.github.com/repos/huggingface/datasets/issues/6315/comments | I_kwDODunzps50Vh3z | null | 6,315 | https://api.github.com/repos/huggingface/datasets/issues/6315/events | false |
closed | 2023-10-19T09:12:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/6314 | null | {
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closed | 2023-10-19T07:53:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/6313 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix commit message formatting in multi-commit uploads | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6313/timeline | Currently, the commit message keeps on adding:
- `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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-10-18T16:10:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/6312 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | docs: resolving namespace conflict, refactored variable | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6312/timeline | In docs of about_arrow.md, in the below example code
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... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-10-18T09:38:05Z | null | https://api.github.com/repos/huggingface/datasets/issues/6311 | null | {
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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... | null | [] | cast_column to Sequence with length=4 occur exception raise in datasets/table.py:2146 | NONE | https://api.github.com/repos/huggingface/datasets/issues/6311/timeline | ### Describe the bug
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"] =... | https://api.github.com/repos/huggingface/datasets | null | 1,949,304,993 | https://api.github.com/repos/huggingface/datasets/issues/6311/comments | I_kwDODunzps50MAih | null | 6,311 | https://api.github.com/repos/huggingface/datasets/issues/6311/events | false |
open | 2023-10-17T13:36:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/6310 | null | {
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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... | null | [] | Add return_file_name in load_dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6310/timeline | Proposition to fix #5806.
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... | https://api.github.com/repos/huggingface/datasets | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Fix get_data_patterns for directories with the word data twice | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6309/timeline | Before the fix, `get_data_patterns` inferred wrongly the split name for paths with the word "data" twice:
- 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/`)
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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... | completed | [] | module 'resource' has no attribute 'error' | NONE | https://api.github.com/repos/huggingface/datasets/issues/6308/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,946,810,625 | https://api.github.com/repos/huggingface/datasets/issues/6308/comments | I_kwDODunzps50CfkB | null | 6,308 | https://api.github.com/repos/huggingface/datasets/issues/6308/events | false |
closed | 2023-10-17T02:28:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/6307 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Fix typo in code example in docs | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6307/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-10-17T01:41:51Z | null | https://api.github.com/repos/huggingface/datasets/issues/6306 | null | {
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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 \"... | completed | [] | pyinstaller : OSError: could not get source code | NONE | https://api.github.com/repos/huggingface/datasets/issues/6306/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,946,363,452 | https://api.github.com/repos/huggingface/datasets/issues/6306/comments | I_kwDODunzps50AyY8 | null | 6,306 | https://api.github.com/repos/huggingface/datasets/issues/6306/events | false |
closed | 2023-10-16T20:11:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/6305 | {
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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 "
] | completed | [] | Cannot load dataset with `2.14.5`: `FileNotFound` error | NONE | https://api.github.com/repos/huggingface/datasets/issues/6305/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,946,010,912 | https://api.github.com/repos/huggingface/datasets/issues/6305/comments | I_kwDODunzps5z_cUg | null | 6,305 | https://api.github.com/repos/huggingface/datasets/issues/6305/events | false |
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Update README.md | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6304/timeline | Fixed typos in ReadMe and added punctuation marks
Tensorflow --> TensorFlow
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open | 2023-10-14T18:31:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/6303 | null | {
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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 ... | null | [] | Parquet uploads off-by-one naming scheme | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6303/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,943,466,532 | https://api.github.com/repos/huggingface/datasets/issues/6303/comments | I_kwDODunzps5z1vIk | null | 6,303 | https://api.github.com/repos/huggingface/datasets/issues/6303/events | false |
closed | 2023-10-13T14:43:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/6302 | null | {
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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... | completed | [] | ArrowWriter/ParquetWriter `write` method does not increase `_num_bytes` and hence datasets not sharding at `max_shard_size` | NONE | https://api.github.com/repos/huggingface/datasets/issues/6302/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,942,096,078 | https://api.github.com/repos/huggingface/datasets/issues/6302/comments | I_kwDODunzps5zwgjO | null | 6,302 | https://api.github.com/repos/huggingface/datasets/issues/6302/events | false |
closed | 2023-10-12T14:58:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/6301 | null | {
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closed | 2023-10-12T14:42:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/6300 | null | {
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] | Support for newer versions of JAX | NONE | https://api.github.com/repos/huggingface/datasets/issues/6299/timeline | ### Feature request
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... | https://api.github.com/repos/huggingface/datasets | null | 1,939,649,238 | https://api.github.com/repos/huggingface/datasets/issues/6299/comments | I_kwDODunzps5znLLW | null | 6,299 | https://api.github.com/repos/huggingface/datasets/issues/6299/events | false |
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Doc readme improvements | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6298/timeline | Changes in the doc READMe:
* 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`
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Move `exceptions.py` to `utils/exceptions.py` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6296/timeline | I didn't notice the path while reviewing the PR yesterday :( | https://api.github.com/repos/huggingface/datasets | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Fix parquet columns argument in streaming mode | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6295/timeline | It was failing when there's a DatasetInfo with non-None info.features from the YAML (therefore containing columns that should be ignored)
Fix https://github.com/huggingface/datasets/issues/6293 | https://api.github.com/repos/huggingface/datasets | {
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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?"
] | completed | [] | IndexError: Invalid key is out of bounds for size 0 despite having a populated dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6294/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,937,359,605 | https://api.github.com/repos/huggingface/datasets/issues/6294/comments | I_kwDODunzps5zecL1 | null | 6,294 | https://api.github.com/repos/huggingface/datasets/issues/6294/events | false |
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] | Choose columns to stream parquet data in streaming mode | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6293/timeline | Currently passing columns= to load_dataset in streaming mode fails
```
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=... | https://api.github.com/repos/huggingface/datasets | null | 1,937,238,047 | https://api.github.com/repos/huggingface/datasets/issues/6293/comments | I_kwDODunzps5zd-gf | null | 6,293 | https://api.github.com/repos/huggingface/datasets/issues/6293/events | false |
open | 2023-10-11T07:27:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/6292 | null | {
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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`."
] | null | [] | how to load the image of dtype float32 or float64 | NONE | https://api.github.com/repos/huggingface/datasets/issues/6292/timeline | _FEATURES = datasets.Features(
{
"image": datasets.Image(),
"text": datasets.Value("string"),
},
)
The datasets builder seems only support the unit8 data. How to load the float dtype data? | https://api.github.com/repos/huggingface/datasets | null | 1,937,050,470 | https://api.github.com/repos/huggingface/datasets/issues/6292/comments | I_kwDODunzps5zdQtm | null | 6,292 | https://api.github.com/repos/huggingface/datasets/issues/6292/events | false |
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"Thanks for reporting! I've opened a PR with a fix"
] | completed | [] | Casting type from Array2D int to Array2D float crashes | NONE | https://api.github.com/repos/huggingface/datasets/issues/6291/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,936,129,871 | https://api.github.com/repos/huggingface/datasets/issues/6291/comments | I_kwDODunzps5zZv9P | null | 6,291 | https://api.github.com/repos/huggingface/datasets/issues/6291/events | false |
open | 2023-10-10T15:18:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/6290 | null | {
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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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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... | https://api.github.com/repos/huggingface/datasets | null | 1,935,629,679 | https://api.github.com/repos/huggingface/datasets/issues/6290/comments | I_kwDODunzps5zX11v | null | 6,290 | https://api.github.com/repos/huggingface/datasets/issues/6290/events | false |
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open | 2023-10-10T10:29:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/6288 | null | {
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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... | null | [
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] | Dataset.from_pandas with a DataFrame of PIL.Images | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6288/timeline | Currently type inference doesn't know what to do with a Pandas Series of PIL.Image objects, though it would be nice to get a Dataset with the Image type this way | https://api.github.com/repos/huggingface/datasets | null | 1,935,005,457 | https://api.github.com/repos/huggingface/datasets/issues/6288/comments | I_kwDODunzps5zVdcR | null | 6,288 | https://api.github.com/repos/huggingface/datasets/issues/6288/events | false |
closed | 2023-10-09T10:27:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/6287 | null | {
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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`."
] | completed | [] | map() not recognizing "text" | NONE | https://api.github.com/repos/huggingface/datasets/issues/6287/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,932,758,192 | https://api.github.com/repos/huggingface/datasets/issues/6287/comments | I_kwDODunzps5zM4yw | null | 6,287 | https://api.github.com/repos/huggingface/datasets/issues/6287/events | false |
closed | 2023-10-09T09:23:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/6286 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Create DefunctDatasetError | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6286/timeline | Create `DefunctDatasetError` as a specific error to be raised when a dataset is defunct and no longer accessible.
See Hub discussion: https://huggingface.co/datasets/the_pile_books3/discussions/7#6523c13a94f3a1a2092d251b | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-10-09T04:56:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/6285 | null | {
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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... | null | [] | TypeError: expected str, bytes or os.PathLike object, not dict | NONE | https://api.github.com/repos/huggingface/datasets/issues/6285/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,932,306,325 | https://api.github.com/repos/huggingface/datasets/issues/6285/comments | I_kwDODunzps5zLKeV | null | 6,285 | https://api.github.com/repos/huggingface/datasets/issues/6285/events | false |
closed | 2023-10-06T06:58:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/6284 | null | {
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"This dataset is already available on the Hub: https://huggingface.co/datasets/facebook/belebele.\r\n"
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] | Add Belebele multiple-choice machine reading comprehension (MRC) dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6284/timeline | ### Feature request
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... | https://api.github.com/repos/huggingface/datasets | null | 1,929,551,712 | https://api.github.com/repos/huggingface/datasets/issues/6284/comments | I_kwDODunzps5zAp9g | null | 6,284 | https://api.github.com/repos/huggingface/datasets/issues/6284/events | false |
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Fix array cast/embed with null values | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6283/timeline | Fixes issues with casting/embedding PyArrow list arrays with null values. It also bumps the required PyArrow version to 12.0.0 (over 9 months old) to simplify the implementation.
Fix #6280, fix #6311, fix #6360
(Also fixes https://github.com/huggingface/datasets/issues/5430 to make Beam compatible with PyArrow>=... | https://api.github.com/repos/huggingface/datasets | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Drop data_files duplicates | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6282/timeline | I just added drop_duplicates=True to `.from_patterns`. I used a dict to deduplicate and preserve the order
close https://github.com/huggingface/datasets/issues/6259
close https://github.com/huggingface/datasets/issues/6272
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closed | 2023-10-05T14:34:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/6281 | null | {
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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... | null | [] | Improve documentation of dataset.from_generator | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6281/timeline | Improve documentation to clarify sharding behavior (#6270) | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-10-05T12:48:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/6280 | null | {
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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... | null | [] | Couldn't cast array of type fixed_size_list to Sequence(Value(float64)) | NONE | https://api.github.com/repos/huggingface/datasets/issues/6280/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,928,215,278 | https://api.github.com/repos/huggingface/datasets/issues/6280/comments | I_kwDODunzps5y7jru | null | 6,280 | https://api.github.com/repos/huggingface/datasets/issues/6280/events | false |
open | 2023-10-05T11:12:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/6279 | null | {
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"This is exactly what I was looking for. It would also be very useful for me :-)"
] | null | [
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] | Batched IterableDataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6279/timeline | ### Feature request
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... | https://api.github.com/repos/huggingface/datasets | null | 1,928,028,226 | https://api.github.com/repos/huggingface/datasets/issues/6279/comments | I_kwDODunzps5y62BC | null | 6,279 | https://api.github.com/repos/huggingface/datasets/issues/6279/events | false |
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | No data files duplicates | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6278/timeline | I added a new DataFilesSet class to disallow duplicate data files.
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
... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-10-04T22:01:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/6277 | null | {
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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."
] | completed | [] | 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. | NONE | https://api.github.com/repos/huggingface/datasets/issues/6277/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,927,044,546 | https://api.github.com/repos/huggingface/datasets/issues/6277/comments | I_kwDODunzps5y3F3C | null | 6,277 | https://api.github.com/repos/huggingface/datasets/issues/6277/events | false |
open | 2023-10-04T11:03:41Z | null | https://api.github.com/repos/huggingface/datasets/issues/6276 | null | {
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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... | null | [] | I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error | NONE | https://api.github.com/repos/huggingface/datasets/issues/6276/timeline | ### Describe the bug
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 ... | https://api.github.com/repos/huggingface/datasets | null | 1,925,961,878 | https://api.github.com/repos/huggingface/datasets/issues/6276/comments | I_kwDODunzps5yy9iW | null | 6,276 | https://api.github.com/repos/huggingface/datasets/issues/6276/events | false |
closed | 2023-10-02T07:00:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6275 | null | {
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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."
] | completed | [] | Would like to Contribute a dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6275/timeline | I have a dataset of 2500 images that can be used for color-blind machine-learning algorithms. Since , there was no dataset available online , I made this dataset myself and would like to contribute this now to community | https://api.github.com/repos/huggingface/datasets | null | 1,921,354,680 | https://api.github.com/repos/huggingface/datasets/issues/6275/comments | I_kwDODunzps5yhYu4 | null | 6,275 | https://api.github.com/repos/huggingface/datasets/issues/6275/events | false |
closed | 2023-10-01T23:45:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/6274 | null | {
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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. "
] | completed | [] | FileNotFoundError for dataset with multiple builder config | NONE | https://api.github.com/repos/huggingface/datasets/issues/6274/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,921,036,328 | https://api.github.com/repos/huggingface/datasets/issues/6274/comments | I_kwDODunzps5ygLAo | null | 6,274 | https://api.github.com/repos/huggingface/datasets/issues/6274/events | false |
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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... | null | [] | Broken Link to PubMed Abstracts dataset . | NONE | https://api.github.com/repos/huggingface/datasets/issues/6273/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,920,922,260 | https://api.github.com/repos/huggingface/datasets/issues/6273/comments | I_kwDODunzps5yfvKU | null | 6,273 | https://api.github.com/repos/huggingface/datasets/issues/6273/events | false |
open | 2023-10-01T15:43:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/6272 | null | {
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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... | null | [
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] | Duplicate `data_files` when named `<split>/<split>.parquet` | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6272/timeline | e.g. with `u23429/stock_1_minute_ticker`
```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/... | https://api.github.com/repos/huggingface/datasets | null | 1,920,831,487 | https://api.github.com/repos/huggingface/datasets/issues/6272/comments | I_kwDODunzps5yfY__ | null | 6,272 | https://api.github.com/repos/huggingface/datasets/issues/6272/events | false |
closed | 2023-09-30T22:37:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/6271 | null | {
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"gists_url": "... | https://github.com/huggingface/datasets/issues/6271 | [] | false | 2023-10-16T13:30:50Z | 2023-10-16T13:30:50Z | null | [] | completed | [] | Overwriting Split overwrites data but not metadata, corrupting dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6271/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,920,420,295 | https://api.github.com/repos/huggingface/datasets/issues/6271/comments | I_kwDODunzps5yd0nH | null | 6,271 | https://api.github.com/repos/huggingface/datasets/issues/6271/events | false |
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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... | completed | [] | Dataset.from_generator raises with sharded gen_args | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6270/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,920,329,373 | https://api.github.com/repos/huggingface/datasets/issues/6270/comments | I_kwDODunzps5ydead | null | 6,270 | https://api.github.com/repos/huggingface/datasets/issues/6270/events | false |
closed | 2023-09-29T16:22:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/6269 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Reduce the number of commits in `push_to_hub` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6269/timeline | Reduces the number of commits in `push_to_hub` by using the `preupload` API from https://github.com/huggingface/huggingface_hub/pull/1699. Each commit contains a maximum of 50 uploaded files.
A shard's fingerprint no longer needs to be added as a suffix to support resuming an upload, meaning the shards' naming schem... | https://api.github.com/repos/huggingface/datasets | {
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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 ... | null | [] | Add repo_id to DatasetInfo | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6268/timeline | ```python
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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"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 ... | null | [
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] | Multi label class encoding | NONE | https://api.github.com/repos/huggingface/datasets/issues/6267/timeline | ### Feature request
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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"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\... | null | [] | Use LibYAML with PyYAML if available | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6266/timeline | PyYAML, the YAML framework used in this library, allows the use of LibYAML to accelerate the methods `load` and `dump`. To use it, a user would need to first install a PyYAML version that uses LibYAML (not available in PyPI; needs to be manually installed). Then, to actually use them, PyYAML suggests importing the LibY... | https://api.github.com/repos/huggingface/datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Remove `apache_beam` import in `BeamBasedBuilder._save_info` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6265/timeline | ... to avoid an `ImportError` raised in `BeamBasedBuilder._save_info` when `apache_beam` is not installed (e.g., when downloading the processed version of a dataset from the HF GCS)
Fix https://github.com/huggingface/datasets/issues/6260 | https://api.github.com/repos/huggingface/datasets | {
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Hot fix #6263. | https://api.github.com/repos/huggingface/datasets | {
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] | CI is broken: ImportError: cannot import name 'context' from 'tensorflow.python' | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6263/timeline | Python 3.10 CI is broken for `test_py310`.
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... | https://api.github.com/repos/huggingface/datasets | null | 1,914,951,043 | https://api.github.com/repos/huggingface/datasets/issues/6263/comments | I_kwDODunzps5yI9WD | null | 6,263 | https://api.github.com/repos/huggingface/datasets/issues/6263/events | false |
closed | 2023-09-27T07:40:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/6262 | null | {
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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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-26T15:46:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/6261 | null | {
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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... | completed | [] | Can't load a dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6261/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,913,813,178 | https://api.github.com/repos/huggingface/datasets/issues/6261/comments | I_kwDODunzps5yEni6 | null | 6,261 | https://api.github.com/repos/huggingface/datasets/issues/6261/events | false |
closed | 2023-09-26T03:02:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/6260 | null | {
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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` ... | completed | [] | REUSE_DATASET_IF_EXISTS don't work | NONE | https://api.github.com/repos/huggingface/datasets/issues/6260/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,912,593,466 | https://api.github.com/repos/huggingface/datasets/issues/6260/comments | I_kwDODunzps5x_9w6 | null | 6,260 | https://api.github.com/repos/huggingface/datasets/issues/6260/events | false |
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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... | null | [] | Duplicated Rows When Loading Parquet Files from Root Directory with Subdirectories | NONE | https://api.github.com/repos/huggingface/datasets/issues/6259/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,911,965,758 | https://api.github.com/repos/huggingface/datasets/issues/6259/comments | I_kwDODunzps5x9kg- | null | 6,259 | https://api.github.com/repos/huggingface/datasets/issues/6259/events | false |
closed | 2023-09-25T12:50:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/6258 | null | {
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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 ... | completed | [] | HfHubHTTPError - exceeded our hourly quotas for action: commit | NONE | https://api.github.com/repos/huggingface/datasets/issues/6257/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,910,741,044 | https://api.github.com/repos/huggingface/datasets/issues/6257/comments | I_kwDODunzps5x45g0 | null | 6,257 | https://api.github.com/repos/huggingface/datasets/issues/6257/events | false |
open | 2023-09-24T15:34:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/6256 | null | {
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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... | null | [] | load_dataset() function's cache_dir does not seems to work | NONE | https://api.github.com/repos/huggingface/datasets/issues/6256/timeline | ### Describe the bug
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_... | https://api.github.com/repos/huggingface/datasets | null | 1,910,275,199 | https://api.github.com/repos/huggingface/datasets/issues/6256/comments | I_kwDODunzps5x3Hx_ | null | 6,256 | https://api.github.com/repos/huggingface/datasets/issues/6256/events | false |
closed | 2023-09-23T11:56:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/6255 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Parallelize builder configs creation | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6255/timeline | For datasets with lots of configs defined in YAML
E.g. `load_dataset("uonlp/CulturaX", "fr", revision="refs/pr/6")` from >1min to 15sec | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-23T02:07:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/6254 | null | {
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... | https://github.com/huggingface/datasets/issues/6254 | [] | false | 2023-10-03T14:42:53Z | 2023-10-03T14:42:53Z | null | [
"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"
] | completed | [] | Dataset.from_generator() cost much more time in vscode debugging mode then running mode | NONE | https://api.github.com/repos/huggingface/datasets/issues/6254/timeline | ### Describe the bug
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... | https://api.github.com/repos/huggingface/datasets | null | 1,909,672,104 | https://api.github.com/repos/huggingface/datasets/issues/6254/comments | I_kwDODunzps5x00io | null | 6,254 | https://api.github.com/repos/huggingface/datasets/issues/6254/events | false |
closed | 2023-09-21T10:15:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/6253 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Check builder cls default config name in inspect | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6253/timeline | Fix https://github.com/huggingface/datasets-server/issues/1812
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'
``` | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-09-21T08:11:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/6252 | null | {
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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... | null | [
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] | exif_transpose not done to Image (PIL problem) | NONE | https://api.github.com/repos/huggingface/datasets/issues/6252/timeline | ### 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... | https://api.github.com/repos/huggingface/datasets | null | 1,906,375,378 | https://api.github.com/repos/huggingface/datasets/issues/6252/comments | I_kwDODunzps5xoPrS | null | 6,252 | https://api.github.com/repos/huggingface/datasets/issues/6252/events | false |
closed | 2023-09-20T08:07:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/6251 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This function reads an entire Arrow table in one go, which is not ideal memory-wise, so I don't think we should encourage using this function, considering we want to keep RAM usage as low as possible in the streaming mode. \r\n\r\n(N... | null | [] | Support streaming datasets with pyarrow.parquet.read_table | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6251/timeline | Support streaming datasets with `pyarrow.parquet.read_table`.
See: https://huggingface.co/datasets/uonlp/CulturaX/discussions/2
CC: @AndreaFrancis | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-18T17:06:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/6247 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Update create_dataset.mdx | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6247/timeline | modified , as AudioFolder and ImageFolder not in Dataset Library.
``` 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... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-17T16:59:48Z | null | https://api.github.com/repos/huggingface/datasets/issues/6246 | null | {
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"I think it's an issue with the code.\r\n\r\nSpecifically:\r\n```python\r\ndataset = dataset['train'].add_column(\"/workspace/data\", new_column)\r\n```\r\n\r\nNow `dataset` is the train set with a new column. \r\nTo fix this, you can do:\r\n\r\n```python\r\ndataset['train'] = dataset['train'].add_column(\"/workspa... | completed | [] | Add new column to dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6246/timeline | ### Describe the bug
```
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
[<ipython-input-9-bd197b36b6a0>](https://localhost:8080/#) in <cell line: 1>()
----> 1 dataset['train']['/workspace/data']
3 frames
[/... | https://api.github.com/repos/huggingface/datasets | null | 1,899,848,414 | https://api.github.com/repos/huggingface/datasets/issues/6246/comments | I_kwDODunzps5xPWLe | null | 6,246 | https://api.github.com/repos/huggingface/datasets/issues/6246/events | false |
closed | 2023-09-15T17:58:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/6244 | null | {
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closed | 2023-09-14T16:12:45Z | null | https://api.github.com/repos/huggingface/datasets/issues/6242 | null | {
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"While this issue may seem specific, it led to a silent problem in my workflow that took days to diagnose. If this feature is not intended to be supported, an error should be raised when encountering this configuration to prevent such issues.",
"Thanks for reporting! This is a MRE:\r\n\r\n```python\r\nimport pyar... | completed | [] | Data alteration when loading dataset with unspecified inner sequence length | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6242/timeline | ### Describe the bug
When a dataset saved with a specified inner sequence length is loaded without specifying that length, the original data is altered and becomes inconsistent.
### Steps to reproduce the bug
```python
from datasets import Dataset, Features, Value, Sequence, load_dataset
# Repository ID
repo_id... | https://api.github.com/repos/huggingface/datasets | null | 1,896,899,123 | https://api.github.com/repos/huggingface/datasets/issues/6242/comments | I_kwDODunzps5xEGIz | null | 6,242 | https://api.github.com/repos/huggingface/datasets/issues/6242/events | false |
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | Remove unused global variables in `audio.py` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6241/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-14T05:30:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/6240 | null | {
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"What type of dataset are you using in this script? `torch.utils.data.Dataset` or `datasets.Dataset`? Please share the `datasets` package version if it's the latter. Otherwise, it's better to move this issue to the `accelerate` repo.",
"Very sorry, I thought I had a repo in `accelerate!`\r\nI will close this issu... | completed | [] | Dataloader stuck on multiple GPUs | NONE | https://api.github.com/repos/huggingface/datasets/issues/6240/timeline | ### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loader:" process is finished, it does... | https://api.github.com/repos/huggingface/datasets | null | 1,895,723,888 | https://api.github.com/repos/huggingface/datasets/issues/6240/comments | I_kwDODunzps5w_nNw | null | 6,240 | https://api.github.com/repos/huggingface/datasets/issues/6240/events | false |
closed | 2023-09-13T22:30:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/6239 | null | {
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"I think this is the same issue as https://github.com/huggingface/datasets/issues/4776. Maybe installing `ffmpeg` can fix it:\r\n```python\r\nadd-apt-repository -y ppa:savoury1/ffmpeg4\r\napt-get -qq install -y ffmpeg\r\n```\r\n\r\nHowever, the best solution is to use a newer version of `datasets`. In the recent re... | completed | [] | Load local audio data doesn't work | NONE | https://api.github.com/repos/huggingface/datasets/issues/6239/timeline | ### Describe the bug
I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```python
RuntimeError ... | https://api.github.com/repos/huggingface/datasets | null | 1,895,349,382 | https://api.github.com/repos/huggingface/datasets/issues/6239/comments | I_kwDODunzps5w-LyG | null | 6,239 | https://api.github.com/repos/huggingface/datasets/issues/6239/events | false |
closed | 2023-09-13T20:20:37Z | null | https://api.github.com/repos/huggingface/datasets/issues/6238 | null | {
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"`filter` treats the function's output as a (selection) mask - `True` keeps the sample, and `False` drops it. In your case, `bool(0)` evaluates to `False`, so dropping the first sample is the correct behavior.",
"Oh gosh! 🤦 I totally misunderstood the API! My apologies!"
] | completed | [] | `dataset.filter` ALWAYS removes the first item from the dataset when using batched=True | NONE | https://api.github.com/repos/huggingface/datasets/issues/6238/timeline | ### Describe the bug
If you call batched=True when calling `filter`, the first item is _always_ filtered out, regardless of the filter condition.
### Steps to reproduce the bug
Here's a minimal example:
```python
def filter_batch_always_true(batch, indices):
print("First index being passed into this filte... | https://api.github.com/repos/huggingface/datasets | null | 1,895,207,828 | https://api.github.com/repos/huggingface/datasets/issues/6238/comments | I_kwDODunzps5w9pOU | null | 6,238 | https://api.github.com/repos/huggingface/datasets/issues/6238/events | false |
closed | 2023-09-13T06:18:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/6237 | null | {
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"[This](https://huggingface.co/docs/datasets/nlp_process#map) is the most performant way to tokenize a dataset (`batched=True, num_proc=None, return_tensors=\"np\"`) \r\n\r\nIf`tokenizer.is_fast` returns `True`, `num_proc` must be `None/1` to benefit from the fast tokenizers' parallelism (the fast tokenizers are im... | completed | [] | Tokenization with multiple workers is too slow | NONE | https://api.github.com/repos/huggingface/datasets/issues/6237/timeline | I am trying to tokenize a few million documents with multiple workers but the tokenization process is taking forever.
Code snippet:
```
raw_datasets.map(
encode_function,
batched=False,
num_proc=args.preprocessing_num_workers,
load_from_cache_file=not args.ove... | https://api.github.com/repos/huggingface/datasets | null | 1,893,822,321 | https://api.github.com/repos/huggingface/datasets/issues/6237/comments | I_kwDODunzps5w4W9x | null | 6,237 | https://api.github.com/repos/huggingface/datasets/issues/6237/events | false |
open | 2023-09-13T03:19:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/6236 | null | {
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"cc @Rocketknight1 ",
"Hey! You can implement this yourself, just:\r\n\r\n1) Create the dataset with `to_tf_dataset()` with `shuffle=False`\r\n2) Add an `unbatch()` at the end (or use batch_size=1)\r\n3) Add a `shuffle()` to the resulting dataset with your desired buffer size\r\n4) Add a `batch()` at the end agai... | null | [
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] | Support buffer shuffle for to_tf_dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6236/timeline | ### Feature request
I'm using to_tf_dataset to convert a large dataset to tf.data.Dataset and use Keras fit to train model.
Currently, to_tf_dataset only supports full size shuffle, which can be very slow on large dataset.
tf.data.Dataset support buffer shuffle by default.
shuffle(
buffer_size, seed=None, r... | https://api.github.com/repos/huggingface/datasets | null | 1,893,648,480 | https://api.github.com/repos/huggingface/datasets/issues/6236/comments | I_kwDODunzps5w3shg | null | 6,236 | https://api.github.com/repos/huggingface/datasets/issues/6236/events | false |
open | 2023-09-12T21:51:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/6235 | null | {
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] | Support multiprocessing for download/extract nestedly | NONE | https://api.github.com/repos/huggingface/datasets/issues/6235/timeline | ### Feature request
Current multiprocessing for download/extract is not done nestedly. For example, when processing SlimPajama, there is only 3 processes (for train/test/val), while there are many files inside these 3 folders
```
Downloading data files #0: 0%| | 0/1 [00:00<?, ?obj/s]
Downloading data f... | https://api.github.com/repos/huggingface/datasets | null | 1,893,337,083 | https://api.github.com/repos/huggingface/datasets/issues/6235/comments | I_kwDODunzps5w2gf7 | null | 6,235 | https://api.github.com/repos/huggingface/datasets/issues/6235/events | false |
closed | 2023-09-12T06:53:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/6233 | 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 | rea... | null | [] | Update README.md | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6233/timeline | fixed a typo | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-11T19:11:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/6232 | null | {
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"CI errors are unrelated",
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This has been fixed. | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-09-11T16:27:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/6231 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6231). All of your documentation changes will be reflected on that endpoint.",
"realized that this pr is still not merged, @lhoestq maybe you can take a look at it? ",
"I think https://github.com/huggingface/datasets/pull/621... | null | [] | Overwrite legacy default config name in `dataset_infos.json` in packaged datasets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6231/timeline | Currently if we push data as default config with `.push_to_hub` to a repo that has a legacy `dataset_infos.json` file containing a legacy default config name like `{username}--{dataset_name}`, new key `"default"` is added to `dataset_infos.json` along with the legacy one. I think the legacy one should be dropped in thi... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-11T13:29:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/6230 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | null | [] | Don't skip hidden files in `dl_manager.iter_files` when they are given as input | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6230/timeline | Required for `load_dataset(<format>, data_files=["path/to/.hidden_file"])` to work as expected | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-10T08:36:12Z | null | https://api.github.com/repos/huggingface/datasets/issues/6229 | null | {
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"From what I see, `MMSegInferencer` supports NumPy arrays, so replace the line `image_path = example['image']` with `image_path = np.array(example['image'])` to fix the issue (`example[\"image\"]` is a `PIL.Image` object). ",
"> From what I see, `MMSegInferencer` supports NumPy arrays, so replace the line `image_... | completed | [] | Apply inference on all images in the dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6229/timeline | ### Describe the bug
```
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[14], line 11
9 for idx, example in enumerate(dataset['train']):
10 image_path = example['image']
---> 11 mask... | https://api.github.com/repos/huggingface/datasets | null | 1,889,050,954 | https://api.github.com/repos/huggingface/datasets/issues/6229/comments | I_kwDODunzps5wmKFK | null | 6,229 | https://api.github.com/repos/huggingface/datasets/issues/6229/events | false |
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