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"Good catch!"
] | completed | [] | Conversion from RGB to BGR in Object Detection tutorial | NONE | https://api.github.com/repos/huggingface/datasets/issues/6225/timeline | The [tutorial](https://huggingface.co/docs/datasets/main/en/object_detection) mentions the necessity of conversion the input image from BGR to RGB
> albumentations expects the image to be in BGR format, not RGB, so you’ll have to convert the image before applying the transform.
[Link to tutorial](https://github.c... | https://api.github.com/repos/huggingface/datasets | null | 1,887,054,320 | https://api.github.com/repos/huggingface/datasets/issues/6225/comments | I_kwDODunzps5weinw | null | 6,225 | https://api.github.com/repos/huggingface/datasets/issues/6225/events | false |
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | null | [] | fix typo in Audio dataset documentation | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6222/timeline | There is a typo in the section of the documentation dedicated to creating an audio dataset. The Dataset is incorrectly suffixed with a `Config`
https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia/blob/main/librivox-indonesia.py#L59 | https://api.github.com/repos/huggingface/datasets | {
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"Not a fan of pickling this sort of stuff either.\r\nNote that users can also share the code in their dataset documentation."
] | null | [] | Support saving datasets with custom formatting | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6221/timeline | Requested in https://discuss.huggingface.co/t/using-set-transform-on-a-dataset-leads-to-an-exception/53036.
I am not sure if supporting this is the best idea for the following reasons:
>For this to work, we would have to pickle a custom transform, which means the transform and the objects it references need to be... | https://api.github.com/repos/huggingface/datasets | null | 1,884,324,631 | https://api.github.com/repos/huggingface/datasets/issues/6221/comments | I_kwDODunzps5wUIMX | null | 6,221 | https://api.github.com/repos/huggingface/datasets/issues/6221/events | false |
closed | 2023-09-06T15:40:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/6220 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6220). All of your documentation changes will be reflected on that endpoint.",
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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 | [] | Rename old push_to_hub configs to "default" in dataset_infos | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6218/timeline | Fix
```python
from datasets import load_dataset_builder
b = load_dataset_builder("lambdalabs/pokemon-blip-captions", "default")
print(b.info)
```
which should return
```
DatasetInfo(
features={'image': Image(decode=True, id=None), 'text': Value(dtype='string', id=None)},
dataset_name='pokemon-bli... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-09-06T09:26:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/6217 | null | {
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"We need to implement the `Image` type as a PyArrow extension type (to allow us to override the Python conversion) for this to work as expected. For now, it's best to use your approach indeed."
] | null | [] | `Dataset.to_dict()` ignore `decode=True` with Image feature | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6217/timeline | ### Describe the bug
`Dataset.to_dict` seems to ignore the decoding instruction passed in features.
### Steps to reproduce the bug
```python
import datasets
import numpy as np
from PIL import Image
img = np.random.randint(0, 256, (5, 5, 3), dtype=np.uint8)
img = Image.fromarray(img)
features = datasets.Fea... | https://api.github.com/repos/huggingface/datasets | null | 1,883,614,607 | https://api.github.com/repos/huggingface/datasets/issues/6217/comments | I_kwDODunzps5wRa2P | null | 6,217 | https://api.github.com/repos/huggingface/datasets/issues/6217/events | false |
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"_The documentation is not available anymore as the PR was closed or merged._",
"oh wow good catch",
"<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 af... | null | [] | Fix checking patterns to infer packaged builder | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6215/timeline | Don't ignore results of pattern resolving if `self.data_files` is not None. Otherwise lines 854 and 1037 make no sense. | https://api.github.com/repos/huggingface/datasets | {
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- #6210
Related to issue:
- #6209
After investigation, I think the root issue is related to the new glob behavior with double asterisk `**` they have introduced in:
- https://github.com/fsspec/filesystem_spec/pull/1329 | https://api.github.com/repos/huggingface/datasets | null | 1,881,736,469 | https://api.github.com/repos/huggingface/datasets/issues/6214/comments | I_kwDODunzps5wKQUV | null | 6,214 | https://api.github.com/repos/huggingface/datasets/issues/6214/events | false |
closed | 2023-09-04T16:21:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/6213 | 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 | [] | Better list array values handling in cast/embed storage | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6213/timeline | Use [`array.flatten`](https://arrow.apache.org/docs/python/generated/pyarrow.ListArray.html#pyarrow.ListArray.flatten) that takes `.offset` into account instead of `array.values` in array cast/embed. | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-09-04T14:23:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/6212 | null | {
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"Hi @exs-avianello, is it really needed? Note you can alternatively use `pathlib.Path` among others as it follows:\r\n\r\n```python\r\nimport datasets\r\nfrom pathlib import Path\r\n\r\n# save a parquet file at ~/path/to/data.parquet\r\n\r\ndata_files = Path.home() / \"path/to/data.parquet\"\r\ndataset = datasets.l... | null | [] | Tilde (~) is not supported for data_files | NONE | https://api.github.com/repos/huggingface/datasets/issues/6212/timeline | ### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing its absolute path instead)
I think that... | https://api.github.com/repos/huggingface/datasets | null | 1,880,399,516 | https://api.github.com/repos/huggingface/datasets/issues/6212/comments | I_kwDODunzps5wFJ6c | null | 6,212 | https://api.github.com/repos/huggingface/datasets/issues/6212/events | false |
closed | 2023-09-04T13:13:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/6211 | 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 empty splitinfo json | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6211/timeline | If a split is empty, then the JSON split info should mention num_bytes = 0 and num_examples = 0.
Until now they were omited because the JSON dumps ignore the fields that are equal to the default values.
This is needed in datasets-server since we parse this information to the viewer | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-04T07:07:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/6210 | 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 | [] | Temporarily pin fsspec < 2023.9.0 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6210/timeline | Temporarily pin fsspec < 2023.9.0 until permanent solution is found.
Hot fix #6209. | https://api.github.com/repos/huggingface/datasets | {
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] | CI is broken with AssertionError: 3 failed, 12 errors | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6209/timeline | Our CI is broken: 3 failed, 12 errors
See: https://github.com/huggingface/datasets/actions/runs/6069947111/job/16465138041
```
=========================== short test summary info ============================
FAILED tests/test_load.py::ModuleFactoryTest::test_LocalDatasetModuleFactoryWithoutScript_with_data_dir - ... | https://api.github.com/repos/huggingface/datasets | null | 1,879,622,000 | https://api.github.com/repos/huggingface/datasets/issues/6209/comments | I_kwDODunzps5wCMFw | null | 6,209 | https://api.github.com/repos/huggingface/datasets/issues/6209/events | false |
closed | 2023-09-04T06:07:12Z | null | https://api.github.com/repos/huggingface/datasets/issues/6208 | 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 | [] | Do not filter out .zip extensions from no-script datasets | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6208/timeline | This PR is a hotfix of:
- #6207
That PR introduced the filtering out of `.zip` extensions. This PR reverts that.
Hot fix #6207.
Maybe we should do patch releases: the bug was introduced in 2.13.1.
CC: @lhoestq | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-09-04T05:50:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/6207 | {
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] | No-script datasets with ZIP files do not load | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6207/timeline | While investigating an issue on a Hub dataset, I have discovered the no-script datasets containing ZIP files do not load.
For example, that no-script dataset containing ZIP files, raises NonMatchingSplitsSizesError:
```python
In [2]: ds = load_dataset("sidovic/LearningQ-qg")
NonMatchingSplitsSizesError: [
{
... | https://api.github.com/repos/huggingface/datasets | null | 1,879,555,234 | https://api.github.com/repos/huggingface/datasets/issues/6207/comments | I_kwDODunzps5wB7yi | null | 6,207 | https://api.github.com/repos/huggingface/datasets/issues/6207/events | false |
closed | 2023-09-04T04:14:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/6206 | null | {
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"I solved the problem by modifying the \"self DEFAULT_WRITER_BATCH_SIZE\" in \"class MyDataset (datasets. GeneratorBasedBuilder) : __init__\""
] | completed | [] | When calling load_dataset, raise error: pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays | NONE | https://api.github.com/repos/huggingface/datasets/issues/6206/timeline | ### Describe the bug
When calling load_dataset, raise error
```
Traceback (most recent call last):
File "/home/aihao/miniconda3/envs/torch/lib/python3.11/site-packages/datasets/builder.py", line 1694, in _pre
pare_split_single ... | https://api.github.com/repos/huggingface/datasets | null | 1,879,473,745 | https://api.github.com/repos/huggingface/datasets/issues/6206/comments | I_kwDODunzps5wBn5R | null | 6,206 | https://api.github.com/repos/huggingface/datasets/issues/6206/events | false |
closed | 2023-09-01T14:04:52Z | null | https://api.github.com/repos/huggingface/datasets/issues/6203 | null | {
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"(cross-posting from the linked DVC issue)\r\n\r\nI think this should already work out of the box with the current `datasets` and `dvc.api` releases by passing the correct `storage_options` into the datasets calls. `storage_options` is essentially just the kwargs dict that gets passed to the fsspec fs constructor.\... | completed | [
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] | Support loading from a DVC remote repository | NONE | https://api.github.com/repos/huggingface/datasets/issues/6203/timeline | ### Feature request
Adding support for loading a file from a DVC repository, tracked remotely on a SCM.
### Motivation
DVC is a popular version control system to version and manage datasets. The files are stored on a remote object storage platform, but they are tracked using Git. Integration with DVC is possible thr... | https://api.github.com/repos/huggingface/datasets | null | 1,877,491,602 | https://api.github.com/repos/huggingface/datasets/issues/6203/comments | I_kwDODunzps5v6D-S | null | 6,203 | https://api.github.com/repos/huggingface/datasets/issues/6203/events | false |
closed | 2023-09-01T02:57:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/6202 | null | {
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"https://github.com/huggingface/datasets/blob/main/setup.py#L236\r\nCurrently has the highest version at 0.3.25; Not sure if there is any reason for this, other than that was the tested version?"
] | completed | [
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] | avoid downgrading jax version | NONE | https://api.github.com/repos/huggingface/datasets/issues/6202/timeline | ### Feature request
Whenever I `pip install datasets[jax]` it downgrades jax to version 0.3.25. I seem to be able to install this library first then upgrade jax back to version 0.4.13.
### Motivation
It would be nice to not overwrite currently installed version of jax if possible.
### Your contribution
I... | https://api.github.com/repos/huggingface/datasets | null | 1,876,630,351 | https://api.github.com/repos/huggingface/datasets/issues/6202/comments | I_kwDODunzps5v2xtP | null | 6,202 | https://api.github.com/repos/huggingface/datasets/issues/6202/events | false |
closed | 2023-08-31T10:38:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/6201 | 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 to_json ValueError and remove pandas pin | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6201/timeline | This PR fixes the root cause of the issue:
- #6197
This PR also removes the temporary pin of `pandas` introduced by:
- #6200
Note that for orient in ['records', 'values'], index value is ignored but
- in `pandas` < 2.1.0, a ValueError is raised if not index and orient not in ['split', 'table']
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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 pandas < 2.1.0 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6200/timeline | Temporarily pin `pandas` < 2.1.0 until permanent solution is found.
Hot fix #6197. | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-08-31T09:42:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/6199 | null | {
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"Hugging Face's datasets library may prioritize remote configurations. Make sure there are no conflicting configurations causing the library to prefer downloading data\r\nMay be try debugging\r\nraw_datasets = load_dataset('json', data_files=data_files)\r\nprint(raw_datasets)\r\n",
"It doesn't download them but ... | null | [] | Use load_dataset for local json files, but it not works | NONE | https://api.github.com/repos/huggingface/datasets/issues/6199/timeline | ### Describe the bug
when I use load_dataset to load my local datasets，it always goes to Hugging Face to download the data instead of loading the local dataset.
### Steps to reproduce the bug
`raw_datasets = load_dataset(
‘json’,
data_files=data_files)`
### Expected behavior
![image](https://gi... | https://api.github.com/repos/huggingface/datasets | null | 1,875,165,185 | https://api.github.com/repos/huggingface/datasets/issues/6199/comments | I_kwDODunzps5vxMAB | null | 6,199 | https://api.github.com/repos/huggingface/datasets/issues/6199/events | false |
closed | 2023-08-31T09:00:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/6198 | 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 | [] | Preserve split order in DataFilesDict | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6198/timeline | After investigation, I have found that this copy forces the splits to be sorted alphabetically: https://github.com/huggingface/datasets/blob/029227a116c14720afca71b9b22e78eb2a1c09a6/src/datasets/builder.py#L556
This PR removes the alphabetically sort of `DataFilesDict` keys.
- Note that for a `dict`, the order of k... | https://api.github.com/repos/huggingface/datasets | {
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"Thanks for reporting. We are investigating it.",
"This issue is caused by latest `pandas` release 2.1.0 (released yesterday Aug 30).\r\n\r\nSee: https://github.com/huggingface/datasets/actions/runs/6035484010/job/16375932085?pr=6198\r\n",
"People using previous releases of `datasets` should pin `pandas` in the... | completed | [] | ValueError: 'index=True' is only valid when 'orient' is 'split', 'table', 'index', or 'columns' | NONE | https://api.github.com/repos/huggingface/datasets/issues/6197/timeline | ### Describe the bug
Saving a dataset `.to_json()` fails with a `ValueError` since the latest `pandas` [release](https://pandas.pydata.org/docs/dev/whatsnew/v2.1.0.html) (`2.1.0`)
In their latest release we have:
> Improved error handling when using [DataFrame.to_json()](https://pandas.pydata.org/docs/dev/refere... | https://api.github.com/repos/huggingface/datasets | null | 1,875,078,155 | https://api.github.com/repos/huggingface/datasets/issues/6197/comments | I_kwDODunzps5vw2wL | null | 6,197 | https://api.github.com/repos/huggingface/datasets/issues/6197/events | false |
closed | 2023-08-31T08:47:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/6196 | {
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] | Split order is not preserved | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6196/timeline | I have noticed that in some cases the split order is not preserved.
For example, consider a no-script dataset with configs:
```yaml
configs:
- config_name: default
data_files:
- split: train
path: train.csv
- split: test
path: test.csv
```
- Note the defined split order is [train, test]
On... | https://api.github.com/repos/huggingface/datasets | null | 1,875,070,972 | https://api.github.com/repos/huggingface/datasets/issues/6196/comments | I_kwDODunzps5vw0_8 | null | 6,196 | https://api.github.com/repos/huggingface/datasets/issues/6196/events | false |
closed | 2023-08-30T18:44:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/6195 | null | {
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"realized that need to pass the path at `cache_file_name` like\r\n\r\n```python\r\ntokenized_datasets = raw_datasets[\"train\"].map(\r\n tokenize_function,\r\n batched=True,\r\n num_proc=data_args.preprocessing_num_workers,\r\n remove_columns=[text_column_... | completed | [] | Force to reuse cache at given path | NONE | https://api.github.com/repos/huggingface/datasets/issues/6195/timeline | ### Describe the bug
I have run the official example of MLM like:
```bash
python run_mlm.py \
--model_name_or_path roberta-base \
--dataset_name togethercomputer/RedPajama-Data-1T \
--dataset_config_name arxiv \
--per_device_train_batch_size 10 \
--preprocessing_num_workers 20 ... | https://api.github.com/repos/huggingface/datasets | null | 1,874,195,585 | https://api.github.com/repos/huggingface/datasets/issues/6195/comments | I_kwDODunzps5vtfSB | null | 6,195 | https://api.github.com/repos/huggingface/datasets/issues/6195/events | false |
open | 2023-08-29T22:43:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/6194 | null | {
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"The `fingerprint` parameter serves a slightly different purpose - we use it to inject a new fingerprint after transforming a `Dataset` (computed from the previous fingerprint + transform + transform args), e.g., to be able to compute the cache file for a transform. There is no concept of `fingerprint` before a `Da... | null | [
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] | Support custom fingerprinting with `Dataset.from_generator` | NONE | https://api.github.com/repos/huggingface/datasets/issues/6194/timeline | ### Feature request
When using `Dataset.from_generator`, the generator is hashed when building the fingerprint. Similar to `.map`, it would be interesting to let the user bypass this hashing by accepting a `fingerprint` argument to `.from_generator`.
### Motivation
Using the `.from_generator` constructor with ... | https://api.github.com/repos/huggingface/datasets | null | 1,872,598,223 | https://api.github.com/repos/huggingface/datasets/issues/6194/comments | I_kwDODunzps5vnZTP | null | 6,194 | https://api.github.com/repos/huggingface/datasets/issues/6194/events | false |
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"Before dynamically loading `.py` scripts with `importlib.import_module`, we also parse their contents to check imports, which is tricky to implement for binary `.pyc` files (requires parsing bytecode), so I don't think this is something we want to support (unless more users request it ofc) as this use case is a bi... | null | [] | Dataset loading script method does not work with .pyc file | NONE | https://api.github.com/repos/huggingface/datasets/issues/6193/timeline | ### Describe the bug
The huggingface dataset library specifically looks for ‘.py’ file while loading the dataset using loading script approach and it does not work with ‘.pyc’ file.
While deploying in production, it becomes an issue when we are restricted to use only .pyc files. Is there any work around for this ?
#... | https://api.github.com/repos/huggingface/datasets | null | 1,872,285,153 | https://api.github.com/repos/huggingface/datasets/issues/6193/comments | I_kwDODunzps5vmM3h | null | 6,193 | https://api.github.com/repos/huggingface/datasets/issues/6193/events | false |
closed | 2023-08-29T15:23:41Z | null | https://api.github.com/repos/huggingface/datasets/issues/6192 | 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 | [] | Set minimal fsspec version requirement to 2023.1.0 | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6192/timeline | Fix https://github.com/huggingface/datasets/issues/6141
Colab installs 2023.6.0, so we should be good 🙂
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"_The documentation is not available anymore as the PR was closed or merged._",
"I have found the same issue. Good fix. Should be merged as soon as possible.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_a... | null | [] | Add missing `revision` argument | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6191/timeline | I've noticed that when you're not working on the main branch, there are sometimes errors in the files returned. After some investigation, I realized that the revision was not properly passed everywhere. This PR proposes a fix. | https://api.github.com/repos/huggingface/datasets | {
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"This is because `download_config.use_auth_token` is deprecated - you should use `download_config.token` instead",
"Works! Thanks for the quick fix! <3"
] | completed | [] | `Invalid user token` even when correct user token is passed! | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6190/timeline | ### Describe the bug
I'm working on a dataset which comprises other datasets on the hub.
URL: https://huggingface.co/datasets/open-asr-leaderboard/datasets-test-only
Note: Some of the sub-datasets in this metadataset require explicit access.
All the other datasets work fine, except, `common_voice`.
### Steps t... | https://api.github.com/repos/huggingface/datasets | null | 1,871,582,175 | https://api.github.com/repos/huggingface/datasets/issues/6190/comments | I_kwDODunzps5vjhPf | null | 6,190 | https://api.github.com/repos/huggingface/datasets/issues/6190/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 | [] | Don't alter input in Features.from_dict | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6189/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-08-29T06:37:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/6188 | null | {
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"gist... | https://github.com/huggingface/datasets/issues/6188 | [] | false | 2023-09-19T21:55:38Z | 2023-09-19T21:55:37Z | null | [
"I think this error means you filter all examples within an (input) batch by deleting its columns. In that case, to avoid the error, you can set the column value to an empty list (`input_batch[\"col\"] = []`) instead."
] | not_planned | [] | [Feature Request] Check the length of batch before writing so that empty batch is allowed | NONE | https://api.github.com/repos/huggingface/datasets/issues/6188/timeline | ### Use Case
I use `dataset.map(process_fn, batched=True)` to process the dataset, with data **augmentations or filtering**. However, when all examples within a batch is filtered out, i.e. **an empty batch is returned**, the following error will be thrown:
```
ValueError: Schema and number of arrays unequal
`... | https://api.github.com/repos/huggingface/datasets | null | 1,870,987,640 | https://api.github.com/repos/huggingface/datasets/issues/6188/comments | I_kwDODunzps5vhQF4 | null | 6,188 | https://api.github.com/repos/huggingface/datasets/issues/6188/events | false |
open | 2023-08-29T05:49:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/6187 | null | {
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"Hi! You can load this dataset with:\r\n```python\r\ndata_files = {\r\n \"train\": \"/content/PUBHEALTH/train.tsv\",\r\n \"validation\": \"/content/PUBHEALTH/dev.tsv\",\r\n \"test\": \"/content/PUBHEALTH/test.tsv\",\r\n}\r\n\r\ntsv_datasets_reloaded = load_dataset(\"csv\", data_files=data_files, sep=\"\\t\... | null | [] | Couldn't find a dataset script at /content/tsv/tsv.py or any data file in the same directory | NONE | https://api.github.com/repos/huggingface/datasets/issues/6187/timeline | ### Describe the bug
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
[<ipython-input-48-6a7b3e847019>](https://localhost:8080/#) in <cell line: 7>()
5 }
6
----> 7 csv_datasets_reloaded = load_... | https://api.github.com/repos/huggingface/datasets | null | 1,870,936,143 | https://api.github.com/repos/huggingface/datasets/issues/6187/comments | I_kwDODunzps5vhDhP | null | 6,187 | https://api.github.com/repos/huggingface/datasets/issues/6187/events | false |
closed | 2023-08-28T10:00:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/6186 | null | {
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"That'd be a great idea! @mariosasko or @lhoestq, would it be possible to fix the code snippet or do you have another suggested way for doing this?",
"Indeed `if __name__ == \"__main__\"` is important in this case.\r\n\r\nNot sure about the imbalanced GPU usage though, but maybe you can try using the `torch.cuda.... | completed | [
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"color": "a2ee... | Feature request: add code example of multi-GPU processing | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6186/timeline | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | https://api.github.com/repos/huggingface/datasets | null | 1,869,431,457 | https://api.github.com/repos/huggingface/datasets/issues/6186/comments | I_kwDODunzps5vbUKh | null | 6,186 | https://api.github.com/repos/huggingface/datasets/issues/6186/events | false |
open | 2023-08-26T12:15:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/6185 | null | {
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"You can cast the `input_image` column to the `Image` type to fix the issue:\r\n```python\r\nds.cast_column(\"input_image\", datasets.Image())\r\n```"
] | null | [] | Error in saving the PIL image into *.arrow files using datasets.arrow_writer | NONE | https://api.github.com/repos/huggingface/datasets/issues/6185/timeline | ### Describe the bug
I am using the ArrowWriter from datasets.arrow_writer to save a json-style file as arrow files. Within the dictionary, it contains a feature called "image" which is a list of PIL.Image objects.
I am saving the json using the following script:
```
def save_to_arrow(path,temp):
with ArrowWri... | https://api.github.com/repos/huggingface/datasets | null | 1,868,077,748 | https://api.github.com/repos/huggingface/datasets/issues/6185/comments | I_kwDODunzps5vWJq0 | null | 6,185 | https://api.github.com/repos/huggingface/datasets/issues/6185/events | false |
closed | 2023-08-25T22:59:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/6184 | null | {
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"This issue is a duplicate of https://github.com/huggingface/datasets/issues/3297. This is a limitation of `dill`, a package we use for caching (non-`__main__` module objects are serialized by reference). You can find more info about it here: https://github.com/uqfoundation/dill/issues/424.\r\n\r\nIn your case, mo... | completed | [
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] | Map cache does not detect function changes in another module | NONE | https://api.github.com/repos/huggingface/datasets/issues/6184/timeline | ```python
# dataset.py
import os
import datasets
if not os.path.exists('/tmp/test.json'):
with open('/tmp/test.json', 'w') as file:
file.write('[{"text": "hello"}]')
def transform(example):
text = example['text']
# text += ' world'
return {'text': text}
data = datasets.load_dataset('json', ... | https://api.github.com/repos/huggingface/datasets | null | 1,867,766,143 | https://api.github.com/repos/huggingface/datasets/issues/6184/comments | I_kwDODunzps5vU9l_ | null | 6,184 | https://api.github.com/repos/huggingface/datasets/issues/6184/events | false |
closed | 2023-08-25T22:21:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/6183 | null | {
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"Same problem",
"This was fixed in https://github.com/huggingface/datasets/pull/6155, which will be included in the next release (or you can install `datasets` from source to use it immediately)."
] | completed | [] | Load dataset with non-existent file | NONE | https://api.github.com/repos/huggingface/datasets/issues/6183/timeline | ### Describe the bug
When load a dataset from datasets and pass a wrong path to json with the data, error message does not contain something abount "wrong path" or "file do not exist" -
```SchemaInferenceError: Please pass `features` or at least one example when writing data```
### Steps to reproduce the bug
... | https://api.github.com/repos/huggingface/datasets | null | 1,867,743,276 | https://api.github.com/repos/huggingface/datasets/issues/6183/comments | I_kwDODunzps5vU4As | null | 6,183 | https://api.github.com/repos/huggingface/datasets/issues/6183/events | false |
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"Our minimal Python version requirement is 3.8, so we dropped `importlib_metadata`. \r\n\r\nFeel free to open a PR in the `evaluate` repo to replace the problematic import with\r\n```python\r\nif PY_VERSION < version.parse(\"3.8\"):\r\n import importlib_metadata\r\nelse:\r\n import importlib.metadata as impor... | completed | [] | Loading Meteor metric in HF evaluate module crashes due to datasets import issue | NONE | https://api.github.com/repos/huggingface/datasets/issues/6182/timeline | ### Describe the bug
When using python3.9 and ```evaluate``` module loading Meteor metric crashes at a non-existent import from ```datasets.config``` in ```datasets v2.14```
### Steps to reproduce the bug
```
from evaluate import load
meteor = load("meteor")
```
produces the following error:
```
from d... | https://api.github.com/repos/huggingface/datasets | null | 1,867,203,131 | https://api.github.com/repos/huggingface/datasets/issues/6182/comments | I_kwDODunzps5vS0I7 | null | 6,182 | https://api.github.com/repos/huggingface/datasets/issues/6182/events | false |
closed | 2023-08-25T13:12:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/6181 | null | {
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open | 2023-08-25T12:55:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/6179 | null | {
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"https://github.com/huggingface/datasets/issues/5147 may be a solution, by passing in the tokenizer in a fn_kwargs and ignoring it in the fingerprint calculations",
"I have a similar issue. I was using a Jupyter Notebook and every time I call the map function it performs tokenization from scratch again although t... | null | [] | Map cache with tokenizer | NONE | https://api.github.com/repos/huggingface/datasets/issues/6179/timeline | Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | https://api.github.com/repos/huggingface/datasets | null | 1,867,009,016 | https://api.github.com/repos/huggingface/datasets/issues/6179/comments | I_kwDODunzps5vSEv4 | null | 6,179 | https://api.github.com/repos/huggingface/datasets/issues/6179/events | false |
closed | 2023-08-25T08:35:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/6178 | null | {
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"This seems to be related to your environment and not the `datasets` code (e.g., this could happen when exposing the Python 3.9 site packages to a lower Python version (interpreter))"
] | completed | [] | 'import datasets' throws "invalid syntax error" | NONE | https://api.github.com/repos/huggingface/datasets/issues/6178/timeline | ### Describe the bug
Hi,
I have been trying to import the datasets library but I keep gtting this error.
`Traceback (most recent call last):
File /opt/local/jupyterhub/lib64/python3.9/site-packages/IPython/core/interactiveshell.py:3508 in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
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closed | 2023-08-24T16:16:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/6177 | null | {
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open | 2023-08-24T05:33:45Z | null | https://api.github.com/repos/huggingface/datasets/issues/6176 | null | {
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"Hi! Can you share the error this reproducer throws in your environment? `streaming=True` streams the dataset as it's iterated over without creating a memory-map file.",
"The trace of the error. Streaming works but is slower.\r\n```\r\nRoot Cause (first observed failure):\r\n[0]:\r\n time : 2023-08-24_06:06... | null | [] | how to limit the size of memory mapped file? | NONE | https://api.github.com/repos/huggingface/datasets/issues/6176/timeline | ### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | https://api.github.com/repos/huggingface/datasets | null | 1,864,436,408 | https://api.github.com/repos/huggingface/datasets/issues/6176/comments | I_kwDODunzps5vIQq4 | null | 6,176 | https://api.github.com/repos/huggingface/datasets/issues/6176/events | false |
closed | 2023-08-23T15:45:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/6175 | null | {
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* bumps the PyArrow version check in the `cast_array_to_feature` to avoid the offset bug (still not fixed)
* aligns the Pandas formatting tests with the Numpy ones (the current test fails due to https://github.com/apache/arrow/pull/35656, which requires `.to_pandas(coerce_temporal_nanoseconds=True)` to always ... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-08-23T14:11:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/6173 | null | {
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```
FAILED tests/test_formatting.py::ArrowExtractorTest::test_pandas_extractor - AssertionError: Attributes of Series are different
Attribute "dtype" are different
[left]: datetime64[us, UTC]
[right]: datetime64[ns, UTC]
```
```
FAILED tests/test_table.py::test_cast_sliced_fi... | https://api.github.com/repos/huggingface/datasets | null | 1,863,422,065 | https://api.github.com/repos/huggingface/datasets/issues/6173/comments | I_kwDODunzps5vEZBx | null | 6,173 | https://api.github.com/repos/huggingface/datasets/issues/6173/events | false |
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"Hi! The streaming mode also retries requests - `datasets.config.STREAMING_READ_MAX_RETRIES` (20 sec by default) controls the number of retries and `datasets.config.STREAMING_READ_RETRY_INTERVAL` (5 sec) the sleep time between retries.\r\n\r\n> At step 1800 I got a 504 HTTP status code error from Huggingface hub fo... | null | [
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] | Make Dataset streaming queries retryable | NONE | https://api.github.com/repos/huggingface/datasets/issues/6172/timeline | ### Feature request
Streaming datasets, as intended, do not load the entire dataset in memory or disk. However, while querying the next data chunk from the remote, sometimes it is possible that the service is down or there might be other issues that may cause the query to fail. In such a scenario, it would be nice to ... | https://api.github.com/repos/huggingface/datasets | null | 1,863,318,027 | https://api.github.com/repos/huggingface/datasets/issues/6172/comments | I_kwDODunzps5vD_oL | null | 6,172 | https://api.github.com/repos/huggingface/datasets/issues/6172/events | false |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6171). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | null | [] | Fix typo in about_mapstyle_vs_iterable.mdx | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6171/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-08-23T07:08:17Z | null | https://api.github.com/repos/huggingface/datasets/issues/6170 | null | {
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"Your change adds a new element in the key used to avoid duplicates when generating the examples of a dataset. I don't think it fixes the issue you're trying to solve."
] | null | [] | feat: Return the name of the currently loaded file | NONE | https://api.github.com/repos/huggingface/datasets/issues/6170/timeline | Added an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
I added this here https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/js... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-08-23T00:13:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/6169 | null | {
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"Unfortunately, I cannot reproduce this behavior on my machine or Colab - the reproducer returns `['main_data', 'additional_data']` as expected.",
"Thank you for looking into this, Mario. Is this on [my repository](https://huggingface.co/datasets/tsor13/test), or on another one that you have reproduced? Would you... | null | [] | Configurations in yaml not working | NONE | https://api.github.com/repos/huggingface/datasets/issues/6169/timeline | ### Dataset configurations cannot be created in YAML/README
Hello! I'm trying to follow the docs here in order to create structure in my dataset as added from here (#5331): https://github.com/huggingface/datasets/blob/8b8e6ee067eb74e7965ca2a6768f15f9398cb7c8/docs/source/repository_structure.mdx#L110-L118
I have t... | https://api.github.com/repos/huggingface/datasets | null | 1,862,360,199 | https://api.github.com/repos/huggingface/datasets/issues/6169/comments | I_kwDODunzps5vAVyH | null | 6,169 | https://api.github.com/repos/huggingface/datasets/issues/6169/events | false |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6168). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | null | [] | Fix ArrayXD YAML conversion | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6168/timeline | Replace the `shape` tuple with a list in the `ArrayXD` YAML conversion.
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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 | [] | Allow hyphen in split name | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6167/timeline | To fix https://discuss.huggingface.co/t/error-when-setting-up-the-dataset-viewer-streamingrowserror/51276.
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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 | [] | Document BUILDER_CONFIG_CLASS | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6166/timeline | Related to https://github.com/huggingface/datasets/issues/6130 | https://api.github.com/repos/huggingface/datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@lhoestq \r\nA test is failing, but I don't think it is due to my changes",
"Good catch ! Could you add a test to make sure transformed IterableDataset objects are still picklable ?\r\n\r\nSomething like `test_pickle_after_many_tra... | null | [] | Fix multiprocessing with spawn in iterable datasets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6165/timeline | The "Spawn" method is preferred when multiprocessing on macOS or Windows systems, instead of the "Fork" method on linux systems.
This causes some methods of Iterable Datasets to break when using a dataloader with more than 0 workers.
I fixed the issue by replacing lambda and local methods which are not pickle-abl... | 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: Missing a MetadataConfigs init when the repo has a `datasets_info.json` but no README | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6164/timeline | When I try to push to an arrow repo (can provide the link on Slack), it uploads the files but fails to update the metadata, with
```
File "app.py", line 123, in add_new_eval
eval_results[level].push_to_hub(my_repo, token=TOKEN, split=SPLIT)
File "blabla_my_env_path/lib/python3.10/site-packages/datasets/arro... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-08-19T11:34:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/6163 | null | {
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"Answered on the forum [here](https://discuss.huggingface.co/t/error-type-arrowinvalid-details-failed-to-parse-string-254-254-as-a-scalar-of-type-int32/51323)."
] | null | [] | Error type: ArrowInvalid Details: Failed to parse string: '[254,254]' as a scalar of type int32 | NONE | https://api.github.com/repos/huggingface/datasets/issues/6163/timeline | ### Describe the bug
I am getting the following error while I am trying to upload the CSV sheet to train a model. My CSV sheet content is exactly same as shown in the example CSV file in the Auto Train page. Attaching screenshot of error for reference. I have also tried converting the index of the answer that are inte... | https://api.github.com/repos/huggingface/datasets | null | 1,857,682,241 | https://api.github.com/repos/huggingface/datasets/issues/6163/comments | I_kwDODunzps5uuftB | null | 6,163 | https://api.github.com/repos/huggingface/datasets/issues/6163/events | false |
open | 2023-08-18T07:19:39Z | null | https://api.github.com/repos/huggingface/datasets/issues/6162 | null | {
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"Hi ! Feel free to open a discussion at https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T/discussions to ask the file to be fixed (or directly open a PR with the fixed file)\r\n\r\n`datasets` expects all the examples to have the same fields",
"@lhoestq I think the problem is caused by the fact th... | null | [] | load_dataset('json',...) from togethercomputer/RedPajama-Data-1T errors when jsonl rows contains different data fields | NONE | https://api.github.com/repos/huggingface/datasets/issues/6162/timeline | ### Describe the bug
When loading some jsonl from redpajama-data-1T github source [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) fails due to one row of the file containing an extra field called **symlink_target: string>**.
When deleting that line the loading... | https://api.github.com/repos/huggingface/datasets | null | 1,856,198,342 | https://api.github.com/repos/huggingface/datasets/issues/6162/comments | I_kwDODunzps5uo1bG | null | 6,162 | https://api.github.com/repos/huggingface/datasets/issues/6162/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 protocol prefix for Beam | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6161/timeline | Fix #6147 | https://api.github.com/repos/huggingface/datasets | {
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] | Add `BoundingBox` feature | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6159/timeline | ... to make working with object detection datasets easier. Currently, `Sequence(int_or_float, length=4)` can be used to represent this feature optimally (in the storage backend), so I only see this feature being useful if we make it work with the viewer. Also, bounding boxes usually come in 4 different formats (explain... | https://api.github.com/repos/huggingface/datasets | null | 1,855,691,512 | https://api.github.com/repos/huggingface/datasets/issues/6159/comments | I_kwDODunzps5um5r4 | null | 6,159 | https://api.github.com/repos/huggingface/datasets/issues/6159/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 | [] | [docs] Complete `to_iterable_dataset` | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6158/timeline | Finishes the `to_iterable_dataset` documentation by adding it to the relevant sections in the tutorial and guide. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-08-17T15:48:11Z | null | https://api.github.com/repos/huggingface/datasets/issues/6157 | null | {
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"Thanks for reporting, but we can only fix this issue if you can provide a reproducer that consistently reproduces it.",
"@mariosasko Ok. What exactly does it mean to provide a reproducer",
"To provide a code that reproduces the issue :)",
"@mariosasko I complete the above code, is it enough?",
"@mariosasko... | completed | [] | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | NONE | https://api.github.com/repos/huggingface/datasets/issues/6157/timeline | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | https://api.github.com/repos/huggingface/datasets | null | 1,855,265,663 | https://api.github.com/repos/huggingface/datasets/issues/6157/comments | I_kwDODunzps5ulRt_ | null | 6,157 | https://api.github.com/repos/huggingface/datasets/issues/6157/events | false |
closed | 2023-08-17T10:58:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/6156 | null | {
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"@lhoestq ",
"`_effective_generator` returns a RNG that takes into account `self._epoch` and the current dataset's base shuffling RNG (which can be set by specifying `seed=` in `.shuffle() for example`).\r\n\r\nTo fix your error you can pass `seed=` to `.shuffle()`. And the shuffling will depend on both this seed... | completed | [] | Why not use self._epoch as seed to shuffle in distributed training with IterableDataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6156/timeline | ### Describe the bug
Currently, distributed training with `IterableDataset` needs to pass fixed seed to shuffle to keep each node use the same seed to avoid overlapping.
https://github.com/huggingface/datasets/blob/a7f8d9019e7cb104eac4106bdc6ec0292f0dc61a/src/datasets/iterable_dataset.py#L1174-L1177
My question ... | https://api.github.com/repos/huggingface/datasets | null | 1,854,768,618 | https://api.github.com/repos/huggingface/datasets/issues/6156/comments | I_kwDODunzps5ujYXq | null | 6,156 | https://api.github.com/repos/huggingface/datasets/issues/6156/events | false |
closed | 2023-08-17T09:49:48Z | null | https://api.github.com/repos/huggingface/datasets/issues/6155 | null | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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closed | 2023-08-17T09:17:05Z | null | https://api.github.com/repos/huggingface/datasets/issues/6154 | 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 | [] | Use yaml instead of get data patterns when possible | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6154/timeline | This would make the data files resolution faster: no need to list all the data files to infer the dataset builder to use.
fix https://github.com/huggingface/datasets/issues/6140 | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-08-16T04:38:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/6152 | {
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"@lhoestq ",
"Makes sense, I guess this can be fixed in the load_dataset_builder method.\r\nIt concerns every packaged builder I think (see values in `_PACKAGED_DATASETS_MODULES`)",
"I think the behavior is related to these lines, which short circuited the error handling.\r\nhttps://github.com/huggingface/datas... | null | [
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] | FolderBase Dataset automatically resolves under current directory when data_dir is not specified | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6152/timeline | ### Describe the bug
FolderBase Dataset automatically resolves under current directory when data_dir is not specified.
For example:
```
load_dataset("audiofolder")
```
takes long time to resolve and collect data_files from current directory. But I think it should reach out to this line for error handling https:... | https://api.github.com/repos/huggingface/datasets | null | 1,852,494,646 | https://api.github.com/repos/huggingface/datasets/issues/6152/comments | I_kwDODunzps5uatM2 | null | 6,152 | https://api.github.com/repos/huggingface/datasets/issues/6152/events | false |
closed | 2023-08-15T14:02:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/6151 | null | {
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"`Dataset.sort` essentially does the same thing except it uses `pyarrow.compute.sort_indices` which doesn't involve copying the data into python objects (saving memory)\r\n\r\n```python\r\nsort_keys = [(col, \"ascending\") for col in column_names]\r\nindices = pc.sort_indices(self.data, sort_keys=sort_keys)\r\nretu... | completed | [
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] | Faster sorting for single key items | NONE | https://api.github.com/repos/huggingface/datasets/issues/6151/timeline | ### Feature request
A faster way to sort a dataset which contains a large number of rows.
### Motivation
The current sorting implementations took significantly longer than expected when I was running on a dataset trying to sort by timestamps.
**Code snippet:**
```python
ds = datasets.load_dataset( "json"... | https://api.github.com/repos/huggingface/datasets | null | 1,851,497,818 | https://api.github.com/repos/huggingface/datasets/issues/6151/comments | I_kwDODunzps5uW51a | null | 6,151 | https://api.github.com/repos/huggingface/datasets/issues/6151/events | false |
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"```\r\n dataset = IterableDataset(dataset) if type(dataset) != IterableDataset else dataset # to force dataset.take(batch_size) to work in non-streaming mode\r\n ```\r\n",
"hf discuss: https://discuss.huggingface.co/t/how-does-one-make-dataset-take-512-work-with-streaming-false-with-hugging-face-data-set/5... | null | [
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] | Allow dataset implement .take | NONE | https://api.github.com/repos/huggingface/datasets/issues/6150/timeline | ### Feature request
I want to do:
```
dataset.take(512)
```
but it only works with streaming = True
### Motivation
uniform interface to data sets. Really surprising the above only works with streaming = True.
### Your contribution
Should be trivial to copy paste the IterableDataset .take to use the local pa... | https://api.github.com/repos/huggingface/datasets | null | 1,850,740,456 | https://api.github.com/repos/huggingface/datasets/issues/6150/comments | I_kwDODunzps5uUA7o | null | 6,150 | https://api.github.com/repos/huggingface/datasets/issues/6150/events | false |
closed | 2023-08-14T23:28:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/6149 | {
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"Looks like this regression was introduced in `datasets==2.13.0` (`2.12.0` could load a subset of columns)\r\n\r\nThis does not appear to be fixed by https://github.com/huggingface/datasets/pull/6045 (bug still exists on `main`)"
] | completed | [] | Dataset.from_parquet cannot load subset of columns | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6149/timeline | ### Describe the bug
When using `Dataset.from_parquet(path_or_paths, columns=[...])` and a subset of columns, loading fails with a variant of the following
```
ValueError: Couldn't cast
a: int64
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 273
to
{'a': V... | https://api.github.com/repos/huggingface/datasets | null | 1,850,700,624 | https://api.github.com/repos/huggingface/datasets/issues/6149/comments | I_kwDODunzps5uT3NQ | null | 6,149 | https://api.github.com/repos/huggingface/datasets/issues/6149/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 | [] | Ignore parallel warning in map_nested | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6148/timeline | This warning message was shown every time you pass num_proc to `load_dataset` because of `map_nested`
```
parallel_map is experimental and might be subject to breaking changes in the future
```
This PR removes it for `map_nested`. If someone uses another parallel backend they're already warned when `parallel_ba... | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-08-14T03:11:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/6147 | null | {
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"The cause of the error seems to be that `datasets` adds \"gcs://\" as a schema, while `beam` checks only \"gs://\".\r\n\r\ndatasets: https://github.com/huggingface/datasets/blob/c02a44715c036b5261686669727394b1308a3a4b/src/datasets/builder.py#L822\r\n\r\nbeam: [link](https://github.com/apache/beam/blob/25e1a64641b... | null | [] | ValueError when running BeamBasedBuilder with GCS path in cache_dir | NONE | https://api.github.com/repos/huggingface/datasets/issues/6147/timeline | ### Describe the bug
When running the BeamBasedBuilder with a GCS path specified in the cache_dir, the following ValueError occurs:
```
ValueError: Unable to get filesystem from specified path, please use the correct path or ensure the required dependency is installed, e.g., pip install apache-beam[gcp]. Path spec... | https://api.github.com/repos/huggingface/datasets | null | 1,848,914,830 | https://api.github.com/repos/huggingface/datasets/issues/6147/comments | I_kwDODunzps5uNDOO | null | 6,147 | https://api.github.com/repos/huggingface/datasets/issues/6147/events | false |
closed | 2023-08-13T05:17:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/6146 | null | {
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"I've tried clear the .cache file, doesn't work.",
"This issue happens on AWS sagemaker",
"This issue can happen if there is a directory named \"glue\" relative to the Python script with the `load_dataset` call (similar issue to this one: https://github.com/huggingface/datasets/issues/5228). Is this the case?",... | completed | [] | DatasetGenerationError when load glue benchmark datasets from `load_dataset` | NONE | https://api.github.com/repos/huggingface/datasets/issues/6146/timeline | ### Describe the bug
Package version: datasets-2.14.4
When I run the codes:
```
from datasets import load_dataset
dataset = load_dataset("glue", "ax")
```
I got the following errors:
---------------------------------------------------------------------------
SchemaInferenceError ... | https://api.github.com/repos/huggingface/datasets | null | 1,848,417,366 | https://api.github.com/repos/huggingface/datasets/issues/6146/comments | I_kwDODunzps5uLJxW | null | 6,146 | https://api.github.com/repos/huggingface/datasets/issues/6146/events | false |
closed | 2023-08-13T04:42:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/6153 | null | {
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"This is an issue for the [Datasets repo](https://github.com/huggingface/datasets).",
"> This is an issue for the [Datasets repo](https://github.com/huggingface/datasets).\r\n\r\nThanks @sgugger , I guess I will wait for them to address the issue . Looking forward to hearing from them ",
"You can use `.push_to_... | completed | [] | custom load dataset to hub | NONE | https://api.github.com/repos/huggingface/datasets/issues/6153/timeline | ### System Info
kaggle notebook
i transformed dataset:
```
dataset = load_dataset("Dahoas/first-instruct-human-assistant-prompt")
```
to
formatted_dataset:
```
Dataset({
features: ['message_tree_id', 'message_tree_text'],
num_rows: 33143
})
```
but would like to know how to upload to hub
### ... | https://api.github.com/repos/huggingface/datasets | null | 1,852,630,074 | https://api.github.com/repos/huggingface/datasets/issues/6153/comments | I_kwDODunzps5ubOQ6 | null | 6,153 | https://api.github.com/repos/huggingface/datasets/issues/6153/events | false |
closed | 2023-08-12T07:00:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/6145 | 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 | [] | Export to_iterable_dataset to document | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6145/timeline | Fix the export of a missing method of `Dataset` | https://api.github.com/repos/huggingface/datasets | {
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open | 2023-08-11T19:05:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/6144 | null | {
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"related: https://github.com/huggingface/datasets/issues/3504",
"another file not found:\r\n```\r\nTraceback (most recent call last):\r\n File \"/lfs/ampere1/0/brando9/miniconda/envs/beyond_scale/lib/python3.10/site-packages/fsspec/implementations/http.py\", line 417, in _info\r\n await _file_info(\r\n File ... | null | [] | NIH exporter file not found | NONE | https://api.github.com/repos/huggingface/datasets/issues/6144/timeline | ### Describe the bug
can't use or download the nih exporter pile data.
```
15 experiment_compute_diveristy_coeff_single_dataset_then_combined_datasets_with_domain_weights()
16 File "/lfs/ampere1/0/brando9/beyond-scale-language-data-diversity/src/diversity/div_coeff.py", line 474, in experiment_compute_diveri... | https://api.github.com/repos/huggingface/datasets | null | 1,847,296,711 | https://api.github.com/repos/huggingface/datasets/issues/6144/comments | I_kwDODunzps5uG4LH | null | 6,144 | https://api.github.com/repos/huggingface/datasets/issues/6144/events | false |
closed | 2023-08-11T05:10:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/6142 | {
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"@severo ",
"It seems that some parquet files have additional columns.\r\n\r\nI ran a scan and found that two files have the additional `__id__` column:\r\n\r\n1. `hf://datasets/bigcode/the-stack-dedup/data/numpy/data-00000-of-00001.parquet`\r\n2. `hf://datasets/bigcode/the-stack-dedup/data/omgrofl/data-00000-of-... | completed | [] | the-stack-dedup fails to generate | NONE | https://api.github.com/repos/huggingface/datasets/issues/6142/timeline | ### Describe the bug
I'm getting an error generating the-stack-dedup with datasets 2.13.1, and with 2.14.4 nothing happens.
### Steps to reproduce the bug
My code:
```
import os
import datasets as ds
MY_CACHE_DIR = "/home/ubuntu/the-stack-dedup-local"
MY_TOKEN="my-token"
the_stack_ds = ds.load_dataset("... | https://api.github.com/repos/huggingface/datasets | null | 1,846,205,216 | https://api.github.com/repos/huggingface/datasets/issues/6142/comments | I_kwDODunzps5uCtsg | null | 6,142 | https://api.github.com/repos/huggingface/datasets/issues/6142/events | false |
closed | 2023-08-11T02:40:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/6141 | null | {
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"Hi! I cannot reproduce this error on my machine or in Colab. Which version of `fsspec` do you have installed?"
] | completed | [] | TypeError: ClientSession._request() got an unexpected keyword argument 'https' | NONE | https://api.github.com/repos/huggingface/datasets/issues/6141/timeline | ### Describe the bug
Hello, when I ran the [code snippet](https://huggingface.co/docs/datasets/v2.14.4/en/loading#json) on the document, I encountered the following problem:
```
Python 3.10.9 (main, Mar 1 2023, 18:23:06) [GCC 11.2.0] on linux
Type "help", "copyright", "credits" or "license" for more informatio... | https://api.github.com/repos/huggingface/datasets | null | 1,846,117,729 | https://api.github.com/repos/huggingface/datasets/issues/6141/comments | I_kwDODunzps5uCYVh | null | 6,141 | https://api.github.com/repos/huggingface/datasets/issues/6141/events | false |
closed | 2023-08-10T15:07:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/6140 | null | {
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] | Misalignment between file format specified in configs metadata YAML and the inferred builder | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6140/timeline | There is a misalignment between the format of the `data_files` specified in the configs metadata YAML (CSV):
```yaml
configs:
- config_name: default
data_files:
- split: train
path: data.csv
```
and the inferred builder (JSON). Note there are multiple JSON files in the repo, but they do not... | https://api.github.com/repos/huggingface/datasets | null | 1,845,384,712 | https://api.github.com/repos/huggingface/datasets/issues/6140/comments | I_kwDODunzps5t_lYI | null | 6,140 | https://api.github.com/repos/huggingface/datasets/issues/6140/events | false |
closed | 2023-08-10T11:30:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/6139 | null | {
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"Hi, thanks for the suggestion. It's not possible at the moment. The viewer is part of the Hub codebase and only works on public datasets. Also, it relies on [Datasets Server](https://github.com/huggingface/datasets-server/), which prepares the data and provides an API to access the rows, size, etc.\r\n\r\nIf you'r... | completed | [
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"default": fals... | Offline dataset viewer | NONE | https://api.github.com/repos/huggingface/datasets/issues/6139/timeline | ### Feature request
The dataset viewer feature is very nice. It enables to the user to easily view the dataset. However, when working for private companies we cannot always upload the dataset to the hub. Is there a way to create dataset viewer offline? I.e. to run a code that will open some kind of html or something t... | https://api.github.com/repos/huggingface/datasets | null | 1,844,991,583 | https://api.github.com/repos/huggingface/datasets/issues/6139/comments | I_kwDODunzps5t-FZf | null | 6,139 | https://api.github.com/repos/huggingface/datasets/issues/6139/events | false |
closed | 2023-08-10T11:03:15Z | null | https://api.github.com/repos/huggingface/datasets/issues/6138 | 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 | [] | Ignore CI lint rule violation in Pickler.memoize | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6138/timeline | This PR ignores the violation of the lint rule E721 in `Pickler.memoize`.
The lint rule violation was introduced in this PR:
- #3182
@lhoestq is there a reason you did not use `isinstance` instead?
As a hotfix, we just ignore the violation of the lint rule.
Fix #6136. | https://api.github.com/repos/huggingface/datasets | {
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related issue: https://github.com/apache/arrow/issues/37057#issue-1841013613
---
Hello. I'm trying to interact with HDFS storage from a driver and workers of pyspark YARN cluster. Precisely I'm using **huggingface's `datasets`** ([link](https://github.com/huggingface/datasets)) library tha... | https://api.github.com/repos/huggingface/datasets | null | 1,844,952,312 | https://api.github.com/repos/huggingface/datasets/issues/6137/comments | I_kwDODunzps5t97z4 | null | 6,137 | https://api.github.com/repos/huggingface/datasets/issues/6137/events | false |
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```
src/datasets/utils/py_utils.py:689:12: E721 Do not compare types, use `isinstance()`
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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 allowed_extensions param | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6135/timeline | This PR removes unused `allowed_extensions` parameter from `create_builder_configs_from_metadata_configs`. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-08-10T06:54:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/6134 | null | {
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"I noticed that this is actually covered by issue #5613, which for some reason I didn't see when I searched the issues in this repo the first time."
] | not_planned | [] | `datasets` cannot be installed alongside `apache-beam` | NONE | https://api.github.com/repos/huggingface/datasets/issues/6134/timeline | ### Describe the bug
If one installs `apache-beam` alongside `datasets` (which is required for the [wikipedia](https://huggingface.co/datasets/wikipedia#dataset-summary) dataset) in certain environments (such as a Google Colab notebook), they appear to install successfully, however, actually trying to do something s... | https://api.github.com/repos/huggingface/datasets | null | 1,844,535,142 | https://api.github.com/repos/huggingface/datasets/issues/6134/comments | I_kwDODunzps5t8V9m | null | 6,134 | https://api.github.com/repos/huggingface/datasets/issues/6134/events | false |
open | 2023-08-10T06:36:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/6133 | null | {
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"@lhoestq ",
"It's roughly the same code between the two so we can expected roughly the same speed, could you share a benchmark ?"
] | null | [] | Dataset is slower after calling `to_iterable_dataset` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6133/timeline | ### Describe the bug
Can anyone explain why looping over a dataset becomes slower after calling `to_iterable_dataset` to convert to `IterableDataset`
### Steps to reproduce the bug
Any dataset after converting to `IterableDataset`
### Expected behavior
Maybe it should be faster on big dataset? I only test on small... | https://api.github.com/repos/huggingface/datasets | null | 1,844,511,519 | https://api.github.com/repos/huggingface/datasets/issues/6133/comments | I_kwDODunzps5t8QMf | null | 6,133 | https://api.github.com/repos/huggingface/datasets/issues/6133/events | false |
closed | 2023-08-09T15:15:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/6132 | null | {
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"Fixed with PR"
] | completed | [] | to_iterable_dataset is missing in document | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6132/timeline | ### Describe the bug
to_iterable_dataset is missing in document
### Steps to reproduce the bug
to_iterable_dataset is missing in document
### Expected behavior
document enhancement
### Environment info
unrelated | https://api.github.com/repos/huggingface/datasets | null | 1,843,491,020 | https://api.github.com/repos/huggingface/datasets/issues/6132/comments | I_kwDODunzps5t4XDM | null | 6,132 | https://api.github.com/repos/huggingface/datasets/issues/6132/events | false |
closed | 2023-08-09T12:43:15Z | null | https://api.github.com/repos/huggingface/datasets/issues/6130 | null | {
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"@lhoestq ",
"What should be the behavior in this case ? Should it override the default config with the added parameter ?",
"I know why it should be treated as a new config if overriding parameters are passed. But in some case, I just pass in some common fields like `data_dir`.\r\n\r\nFor example, I want to ext... | completed | [] | default config name doesn't work when config kwargs are specified. | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6130/timeline | ### Describe the bug
https://github.com/huggingface/datasets/blob/12cfc1196e62847e2e8239fbd727a02cbc86ddec/src/datasets/builder.py#L518-L522
If `config_name` is `None`, `DEFAULT_CONFIG_NAME` should be select. But once users pass `config_kwargs` to their customized `BuilderConfig`, the logic is ignored, and dataset ... | https://api.github.com/repos/huggingface/datasets | null | 1,843,158,846 | https://api.github.com/repos/huggingface/datasets/issues/6130/comments | I_kwDODunzps5t3F8- | null | 6,130 | https://api.github.com/repos/huggingface/datasets/issues/6130/events | false |
closed | 2023-08-08T15:43:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/6129 | null | {
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"Hi @TomasAndersonFang,\r\n\r\nHave you tried instead to use `torch_compile` in `transformers.TrainingArguments`? https://huggingface.co/docs/transformers/v4.31.0/en/main_classes/trainer#transformers.TrainingArguments.torch_compile",
"> \r\n\r\nI tried this and got the following error:\r\n\r\n```\r\nTraceback (mo... | completed | [] | IndexError: Invalid key: 88 is out of bounds for size 0 | NONE | https://api.github.com/repos/huggingface/datasets/issues/6128/timeline | ### Describe the bug
This bug generates when I use torch.compile(model) in my code, which seems to raise an error in datasets lib.
### Steps to reproduce the bug
I use the following code to fine-tune Falcon on my private dataset.
```python
import transformers
from transformers import (
AutoModelForCausalLM... | https://api.github.com/repos/huggingface/datasets | null | 1,841,545,493 | https://api.github.com/repos/huggingface/datasets/issues/6128/comments | I_kwDODunzps5tw8EV | null | 6,128 | https://api.github.com/repos/huggingface/datasets/issues/6128/events | false |
closed | 2023-08-07T15:41:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/6127 | null | {
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- Fix authentication when passing `token`.
- Fix authentication in `Audio.decode_example` and `Image.decode_example`.
- Fix authentication to resolve `data_files` in repositories without script.
This PR also fixes our CI so that we properly test when passing `token` and we d... | https://api.github.com/repos/huggingface/datasets | {
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"Our CI did not catch this issue because with current implementation, stored token in `HfFolder` (which always exists) is used by default.",
"I can confirm this and have the same problem (and just went almost crazy because I couldn't figure out the source of this problem because on another computer everything wor... | completed | [
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] | Private datasets do not load when passing token | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6126/timeline | ### Describe the bug
Since the release of `datasets` 2.14, private/gated datasets do not load when passing `token`: they raise `EmptyDatasetError`.
This is a non-planned backward incompatible breaking change.
Note that private datasets do load if instead `download_config` is passed:
```python
from datasets i... | https://api.github.com/repos/huggingface/datasets | null | 1,839,675,320 | https://api.github.com/repos/huggingface/datasets/issues/6126/comments | I_kwDODunzps5tpze4 | null | 6,126 | https://api.github.com/repos/huggingface/datasets/issues/6126/events | false |
closed | 2023-08-05T23:59:42Z | null | https://api.github.com/repos/huggingface/datasets/issues/6125 | null | {
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"gists_url"... | https://github.com/huggingface/datasets/issues/6125 | [] | false | 2023-08-18T12:28:42Z | 2023-08-18T12:28:42Z | null | [] | completed | [] | Reinforcement Learning and Robotics are not task categories in HF datasets metadata | NONE | https://api.github.com/repos/huggingface/datasets/issues/6125/timeline | ### Describe the bug
In https://huggingface.co/models there are task categories for RL and robotics but none in https://huggingface.co/datasets
Our lab is currently moving our datasets over to hugging face and would like to be able to add those 2 tags
Moreover we see some older datasets that do have that tag, bu... | https://api.github.com/repos/huggingface/datasets | null | 1,837,980,986 | https://api.github.com/repos/huggingface/datasets/issues/6125/comments | I_kwDODunzps5tjV06 | null | 6,125 | https://api.github.com/repos/huggingface/datasets/issues/6125/events | false |
closed | 2023-08-05T17:48:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/6124 | null | {
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"i once had the same error and I could fix that by pushing a fake or a dummy commit on my hugging face dataset repo",
"Hi! We need a reproducer to fix this. Can you provide a link to the dataset (if it's public)?",
"> Hi! We need a reproducer to fix this. Can you provide a link to the dataset (if it's public)?\... | completed | [] | Datasets crashing runs due to KeyError | NONE | https://api.github.com/repos/huggingface/datasets/issues/6124/timeline | ### Describe the bug
Hi all,
I have been running into a pretty persistent issue recently when trying to load datasets.
```python
train_dataset = load_dataset(
'llama-2-7b-tokenized',
split = 'train'
)
```
I receive a KeyError which crashes the runs.
```
Traceback (most recent call... | https://api.github.com/repos/huggingface/datasets | null | 1,837,868,112 | https://api.github.com/repos/huggingface/datasets/issues/6124/comments | I_kwDODunzps5ti6RQ | null | 6,124 | https://api.github.com/repos/huggingface/datasets/issues/6124/events | false |
closed | 2023-08-05T14:34:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/6123 | null | {
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"Hi! Thanks for the investigation, but we are not the authors of these datasets, so please report this on the Hub instead so that the actual authors can fix it."
] | completed | [] | Inaccurate Bounding Boxes in "wildreceipt" Dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6123/timeline | ### Describe the bug
I would like to bring to your attention an issue related to the accuracy of bounding boxes within the "wildreceipt" dataset, which is made available through the Hugging Face API. Specifically, I have identified a discrepancy between the bounding boxes generated by the dataset loading commands, n... | https://api.github.com/repos/huggingface/datasets | null | 1,837,789,294 | https://api.github.com/repos/huggingface/datasets/issues/6123/comments | I_kwDODunzps5tinBu | null | 6,123 | https://api.github.com/repos/huggingface/datasets/issues/6123/events | false |
closed | 2023-08-04T21:00:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/6122 | null | {
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"gists_u... | https://github.com/huggingface/datasets/issues/6122 | [] | false | 2023-08-21T18:18:54Z | 2023-08-21T18:18:54Z | null | [
"You can use `huggingface_hub`'s [Card API](https://huggingface.co/docs/huggingface_hub/package_reference/cards) to programmatically push a dataset card to the Hub."
] | not_planned | [
{
"color": "a2eeef",
"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
}
] | Upload README via `push_to_hub` | NONE | https://api.github.com/repos/huggingface/datasets/issues/6122/timeline | ### Feature request
`push_to_hub` now allows users to upload datasets programmatically. However, based on the latest doc, we still need to open the dataset page to add readme file manually.
However, I do discover snippets to intialize a README for every `push_to_hub`:
```
dataset_card = (
DatasetCard(
... | https://api.github.com/repos/huggingface/datasets | null | 1,837,335,721 | https://api.github.com/repos/huggingface/datasets/issues/6122/comments | I_kwDODunzps5tg4Sp | null | 6,122 | https://api.github.com/repos/huggingface/datasets/issues/6122/events | false |
closed | 2023-08-04T13:36:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/6121 | null | {
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"gists_url": "... | https://github.com/huggingface/datasets/pull/6121 | [] | false | 2023-08-04T13:45:32Z | 2023-08-04T13:41:43Z | null | [
"Hi,\r\n\r\nI found a small typo in the code example of create imagefolder dataset. It confused me a little when I first saw it.\r\n\r\nBest Regards.\r\n\r\nXin"
] | null | [] | Small typo in the code example of create imagefolder dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6121/timeline | Fix type of code example of load imagefolder dataset | https://api.github.com/repos/huggingface/datasets | {
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