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https://api.github.com/repos/huggingface/datasets/issues/5744 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5744/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5744/comments | https://api.github.com/repos/huggingface/datasets/issues/5744/events | https://github.com/huggingface/datasets/issues/5744 | 1,667,076,620 | I_kwDODunzps5jXZIM | 5,744 | [BUG] With Pandas 2.0.0, `load_dataset` raises `TypeError: read_csv() got an unexpected keyword argument 'mangle_dupe_cols'` | {
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"Thanks for reporting, @keyboardAnt.\r\n\r\nWe haven't noticed any crash in our CI tests. Could you please indicate specifically the `load_dataset` command that crashes in your side, so that we can reproduce it?",
"This has been fixed in `datasets` 2.11"
] | 2023-04-13T20:21:28 | 2023-04-21T15:21:55 | null | NONE | null | The `load_dataset` function with Pandas `1.5.3` has no issue (just a FutureWarning) but crashes with Pandas `2.0.0`.
For your convenience, I opened a draft Pull Request to fix it quickly: https://github.com/huggingface/datasets/pull/5745
---
* The FutureWarning mentioned above:
```
FutureWarning: the 'mangle_... | {
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"We no longer depend on `dataclasses` (for almost a year), so I don't think our package is the problematic one. \r\n\r\nI think it makes more sense to raise this issue in the `dataclasses` repo: https://github.com/ericvsmith/dataclasses."
] | 2023-04-13T17:28:33 | 2023-04-17T12:23:18 | 2023-04-17T12:23:18 | NONE | null | ### Describe the bug
"e:\Krish_naik\FSDSRegression\venv\Lib\dataclasses.py" is overriding the stdlib module "dataclasses"
### Steps to reproduce the bug
module issue
### Expected behavior
overriding the stdlib module "dataclasses"
### Environment info
VS code | {
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https://api.github.com/repos/huggingface/datasets/issues/5742 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5742/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5742/comments | https://api.github.com/repos/huggingface/datasets/issues/5742/events | https://github.com/huggingface/datasets/pull/5742 | 1,666,209,738 | PR_kwDODunzps5OOH-W | 5,742 | Warning specifying future change in to_tf_dataset behaviour | {
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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... | 2023-04-13T11:10:00 | 2023-04-21T13:18:14 | 2023-04-21T13:11:09 | CONTRIBUTOR | null | Warning specifying future changes happening to `to_tf_dataset` behaviour when #5602 is merged in | {
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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... | 2023-04-13T07:17:02 | 2023-04-13T09:48:10 | 2023-04-13T09:40:50 | MEMBER | null | Fix warnings in our CI tests. | {
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https://api.github.com/repos/huggingface/datasets/issues/5740 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5740/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5740/comments | https://api.github.com/repos/huggingface/datasets/issues/5740/events | https://github.com/huggingface/datasets/pull/5740 | 1,664,132,130 | PR_kwDODunzps5OHI08 | 5,740 | Fix CI mock filesystem fixtures | {
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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... | 2023-04-12T08:52:35 | 2023-04-13T11:01:24 | 2023-04-13T10:54:13 | MEMBER | null | This PR fixes the fixtures of our CI mock filesystems.
Before, we had to pass `clobber=True` to `fsspec.register_implementation` to overwrite the still present previously added "mock" filesystem. That meant that the mock filesystem fixture was not working properly, because the previously added "mock" filesystem, sho... | {
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https://api.github.com/repos/huggingface/datasets/issues/5739 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5739/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5739/comments | https://api.github.com/repos/huggingface/datasets/issues/5739/events | https://github.com/huggingface/datasets/issues/5739 | 1,663,762,901 | I_kwDODunzps5jKwHV | 5,739 | weird result during dataset split when data path starts with `/data` | {
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"Same problem.",
"hi! \r\nI think you can run python from `/data/train/raw/` directory and load dataset as `load_dataset(\"code_contests\")` to mitigate this issue as a workaround. \r\n@ericxsun Do you want to open a PR to fix the regex? As you already found the solution :) ",
"> hi! I think you can run python ... | 2023-04-12T04:51:35 | 2023-04-21T14:20:59 | null | NONE | null | ### Describe the bug
The regex defined here https://github.com/huggingface/datasets/blob/f2607935c4e45c70c44fcb698db0363ca7ba83d4/src/datasets/utils/py_utils.py#L158
will cause a weird result during dataset split when data path starts with `/data`
### Steps to reproduce the bug
1. clone dataset into local path
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5738 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5738/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5738/comments | https://api.github.com/repos/huggingface/datasets/issues/5738/events | https://github.com/huggingface/datasets/issues/5738 | 1,663,477,690 | I_kwDODunzps5jJqe6 | 5,738 | load_dataset("text","dataset.txt") loads the wrong dataset! | {
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"You need to provide a text file as `data_files`, not as a configuration:\r\n\r\n```python\r\nmy_dataset = load_dataset(\"text\", data_files=\"TextFile.txt\")\r\n```\r\n\r\nOtherwise, since `data_files` is `None`, it picks up Colab's sample datasets from the `content` dir."
] | 2023-04-12T01:07:46 | 2023-04-19T12:08:27 | 2023-04-19T12:08:27 | NONE | null | ### Describe the bug
I am trying to load my own custom text dataset using the load_dataset function. My dataset is a bunch of ordered text, think along the lines of shakespeare plays. However, after I load the dataset and I inspect it, the dataset is a table with a bunch of latitude and longitude values! What in th... | {
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"Hi, you can use the `cast_column` function to change the feature type from a `Value(int64)` to `ClassLabel`:\r\n\r\n```py\r\ndataset = dataset.cast_column(\"label\", ClassLabel(names=[\"label_1\", \"label_2\", \"label_3\"]))\r\nprint(dataset.features)\r\n{'text': Value(dtype='string', id=None),\r\n 'label': ClassL... | 2023-04-11T17:14:13 | 2023-04-13T16:49:57 | 2023-04-13T16:49:57 | NONE | null | ### Describe the bug
I still getting the error "call() takes 1 positional argument but 2 were given" even after ensuring that the value being passed to the label object is a single value and that the ClassLabel object has been created with the correct number of label classes
### Steps to reproduce the bug
from... | {
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"Hi ! I couldn't reproduce your issue :/\r\n\r\nIt seems that `shutil.rmtree` failed. It is supposed to work even if the directory is not empty, but you still end up with `OSError: [Errno 39] Directory not empty:`. Can you make sure another process is not using this directory at the same time ?"
] | 2023-04-11T11:29:15 | 2023-04-21T15:27:40 | null | NONE | null | ### Describe the bug
Running `load_dataset(..., download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD)` twice raises a `Directory not empty` exception on the second run.
### Steps to reproduce the bug
I cannot test this on datasets v2.11.0 due to #5711, but this happens in v2.10.1.
1. Set up a script `my_dataset.p... | {
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https://api.github.com/repos/huggingface/datasets/issues/5735 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5735/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5735/comments | https://api.github.com/repos/huggingface/datasets/issues/5735/events | https://github.com/huggingface/datasets/pull/5735 | 1,662,150,903 | PR_kwDODunzps5OAY3A | 5,735 | Implement sharding on merged iterable datasets | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hi ! What if one of the sub-iterables only has one shard ? In that case I don't think we'd end up with a correctly interleaved dataset, since only rank 0 would yield examples from this sub-iterable",
"Hi ! \r\nI just tested this ou... | 2023-04-11T10:02:25 | 2023-04-27T16:39:04 | 2023-04-27T16:32:09 | CONTRIBUTOR | null | This PR allows sharding of merged iterable datasets.
Merged iterable datasets with for instance the `interleave_datasets` command are comprised of multiple sub-iterable, one for each dataset that has been merged.
With this PR, sharding a merged iterable will result in multiple merged datasets each comprised of sh... | {
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- #5731 | {
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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... | 2023-04-11T08:52:12 | 2023-04-11T11:11:45 | 2023-04-11T11:04:51 | MEMBER | null | In `fsspec--2023.4.0` default value for clobber when registering an implementation was changed from True to False. See:
- https://github.com/fsspec/filesystem_spec/pull/1237
This PR recovers previous behavior by passing clobber True when registering mock implementations.
This PR also removes the temporary pin in... | {
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https://api.github.com/repos/huggingface/datasets/issues/5732 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5732/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5732/comments | https://api.github.com/repos/huggingface/datasets/issues/5732/events | https://github.com/huggingface/datasets/issues/5732 | 1,662,020,571 | I_kwDODunzps5jEGvb | 5,732 | Enwik8 should support the standard split | {
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"#self-assign",
"The Enwik8 pipeline is not present in this codebase, and is hosted elsewhere. I have opened a PR [there](https://huggingface.co/datasets/enwik8/discussions/4) instead. "
] | 2023-04-11T08:38:53 | 2023-04-11T09:28:17 | 2023-04-11T09:28:16 | NONE | null | ### Feature request
The HuggingFace Datasets library currently supports two BuilderConfigs for Enwik8. One config yields individual lines as examples, while the other config yields the entire dataset as a single example. Both support only a monolithic split: it is all grouped as "train".
The HuggingFace Datasets l... | {
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See: https://github.com/huggingface/datasets/actions/runs/4665326892/jobs/8258580948
```
=========================== short test summary info ============================
ERROR tests/test_builder.py::test_builder_with_filesystem_download_and_prepare - ValueError: Name (mock) already ... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The error in the CI was unrelated to this PR. I have merged main branch once that has been fixed.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### B... | 2023-04-11T07:34:20 | 2023-04-26T15:12:25 | 2023-04-26T15:05:12 | MEMBER | null | This PR makes the order of the split names deterministic. Before it was nondeterministic because we were iterating over `set` elements.
Fix #5728. | {
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https://api.github.com/repos/huggingface/datasets/issues/5728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5728/comments | https://api.github.com/repos/huggingface/datasets/issues/5728/events | https://github.com/huggingface/datasets/issues/5728 | 1,661,925,932 | I_kwDODunzps5jDvos | 5,728 | The order of data split names is nondeterministic | {
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```
FAILED tests/test_data_files.py::test_get_data_files_patterns[data_file_per_split4] - AssertionError: assert ['random', 'train'] == ['train', 'random']
At index 0 diff: 'random' != 'train'
Full diff:... | {
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"Hi! Can you please paste the entire error stack trace, not only the last few lines?",
"`----> 1 dataset = datasets.load_dataset(\"glue\", \"ax\")\r\n\r\nFile ~\\anaconda3\\envs\\huggingface\\Lib\\site-packages\\datasets\\load.py:1767, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, ... | 2023-04-10T23:21:12 | 2023-05-07T18:33:47 | null | NONE | null | ### Describe the bug
Although I can import and run the datasets library in a Colab environment, I cannot successfully load any data on my own machine (Windows 10) despite following the install steps:
(1) create conda environment
(2) activate environment
(3) install with: ``conda` install -c huggingface -c conda-... | {
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"Thanks for reporting, @myluki2000.\r\n\r\nI am working on a fix."
] | 2023-04-10T15:22:14 | 2023-04-21T06:35:28 | 2023-04-21T06:35:28 | NONE | null | ### Describe the bug
The fallback JSON dataset loader located here:
https://github.com/huggingface/datasets/blob/1c4ec00511868bd881e84a6f7e0333648d833b8e/src/datasets/packaged_modules/json/json.py#L130-L153
does not load the values of features correctly when features are specified manually and not all features... | {
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https://api.github.com/repos/huggingface/datasets/issues/5725 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5725/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5725/comments | https://api.github.com/repos/huggingface/datasets/issues/5725/events | https://github.com/huggingface/datasets/issues/5725 | 1,660,455,202 | I_kwDODunzps5i-Iki | 5,725 | How to limit the number of examples in dataset, for testing? | {
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"Hi! You can use the `nrows` parameter for this:\r\n```python\r\ndata = load_dataset(\"json\", data_files=data_path, nrows=10)\r\n```",
"@mariosasko I get:\r\n\r\n`TypeError: __init__() got an unexpected keyword argument 'nrows'`",
"I misread the format in which the dataset is stored - the `nrows` parameter wo... | 2023-04-10T08:41:43 | 2023-04-21T06:16:24 | 2023-04-21T06:16:24 | NONE | null | ### Describe the bug
I am using this command:
`data = load_dataset("json", data_files=data_path)`
However, I want to add a parameter, to limit the number of loaded examples to be 10, for development purposes, but can't find this simple parameter.
### Steps to reproduce the bug
In the description.
### Expected beh... | {
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https://api.github.com/repos/huggingface/datasets/issues/5724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5724/comments | https://api.github.com/repos/huggingface/datasets/issues/5724/events | https://github.com/huggingface/datasets/issues/5724 | 1,659,938,135 | I_kwDODunzps5i8KVX | 5,724 | Error after shuffling streaming IterableDatasets with downloaded dataset | {
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"Moving `\"en\"` to the end of the path instead of passing it as a config name should fix the error:\r\n```python\r\nimport datasets\r\ndataset = datasets.load_dataset('/path/to/your/data/dir/en', streaming=True, split='train')\r\ndataset = dataset.shuffle(buffer_size=10_000, seed=42)\r\nnext(iter(dataset))\r\n```\... | 2023-04-09T16:58:44 | 2023-04-20T20:37:30 | 2023-04-20T20:37:30 | NONE | null | ### Describe the bug
I downloaded the C4 dataset, and used streaming IterableDatasets to read it. Everything went normal until I used `dataset = dataset.shuffle(seed=42, buffer_size=10_000)` to shuffle the dataset. Shuffled dataset will throw the following error when it is used by `next(iter(dataset))`:
```
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https://api.github.com/repos/huggingface/datasets/issues/5722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5722/comments | https://api.github.com/repos/huggingface/datasets/issues/5722/events | https://github.com/huggingface/datasets/issues/5722 | 1,659,837,510 | I_kwDODunzps5i7xxG | 5,722 | Distributed Training Error on Customized Dataset | {
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"Hmm the error doesn't seem related to data loading.\r\n\r\nRegarding `split_dataset_by_node`: it's generally used to split an iterable dataset (e.g. when streaming) in pytorch DDP. It's not needed if you use a regular dataset since the pytorch DataLoader already assigns a subset of the dataset indices to each node... | 2023-04-09T11:04:59 | 2023-04-09T16:33:00 | null | NONE | null | Hi guys, recently I tried to use `datasets` to train a dual encoder.
I finish my own datasets according to the nice [tutorial](https://huggingface.co/docs/datasets/v2.11.0/en/dataset_script)
Here are my code:
```python
class RetrivalDataset(datasets.GeneratorBasedBuilder):
"""CrossEncoder dataset."""
B... | {
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https://api.github.com/repos/huggingface/datasets/issues/5721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5721/comments | https://api.github.com/repos/huggingface/datasets/issues/5721/events | https://github.com/huggingface/datasets/issues/5721 | 1,659,680,682 | I_kwDODunzps5i7Leq | 5,721 | Calling datasets.load_dataset("text" ...) results in a wrong split. | {
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When creating a text dataset, the training split should have the bulk of the examples by default. Currently, testing does.
### Steps to reproduce the bug
I have a folder with 18K text files in it. Each text file essentially consists in a document or article scraped from online. Calling the follo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5720/comments | https://api.github.com/repos/huggingface/datasets/issues/5720/events | https://github.com/huggingface/datasets/issues/5720 | 1,659,610,705 | I_kwDODunzps5i66ZR | 5,720 | Streaming IterableDatasets do not work with torch DataLoaders | {
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"Edit: This behavior is true even without `.take/.set`",
"I'm experiencing the same problem that @jlehrer1. I was able to reproduce it with a very small example:\r\n\r\n```py\r\nfrom datasets import Dataset, load_dataset, load_dataset_builder\r\nfrom torch.utils.data import DataLoader\r\n\r\n\r\ndef my_gen():\r\n... | 2023-04-08T18:45:48 | 2023-04-25T07:06:59 | null | NONE | null | ### Describe the bug
When using streaming datasets set up with train/val split using `.skip()` and `.take()`, the following error occurs when iterating over a torch dataloader:
```
File "/Users/julian/miniconda3/envs/sims/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 363, in __iter__
self.... | {
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https://api.github.com/repos/huggingface/datasets/issues/5719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5719/comments | https://api.github.com/repos/huggingface/datasets/issues/5719/events | https://github.com/huggingface/datasets/issues/5719 | 1,659,203,222 | I_kwDODunzps5i5W6W | 5,719 | Array2D feature creates a list of list instead of a numpy array | {
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"Hi! \r\n\r\nYou need to set the format to `np` before indexing the dataset to get NumPy arrays:\r\n```python\r\nfeatures = Features(dict(seq=Array2D((2,2), 'float32'))) \r\nds = Dataset.from_dict(dict(seq=[np.random.rand(2,2)]), features=features)\r\nds.set_format(\"np\")\r\na = ds[0]['seq']\r\n```\r\n\r\n> I th... | 2023-04-07T21:04:08 | 2023-04-20T15:34:41 | 2023-04-20T15:34:41 | NONE | null | ### Describe the bug
I'm not sure if this is expected behavior or not. When I create a 2D array using `Array2D`, the data has list type instead of numpy array. I think it should not be the expected behavior especially when I feed a numpy array as input to the data creation function. Why is it converting my array int... | {
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https://api.github.com/repos/huggingface/datasets/issues/5718 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5718/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5718/comments | https://api.github.com/repos/huggingface/datasets/issues/5718/events | https://github.com/huggingface/datasets/pull/5718 | 1,658,958,406 | PR_kwDODunzps5N2IZC | 5,718 | Reorder default data splits to have validation before test | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"After this CI error: https://github.com/huggingface/datasets/actions/runs/4639528358/jobs/8210492953?pr=5718\r\n```\r\nFAILED tests/test_data_files.py::test_get_data_files_patterns[data_file_per_split4] - AssertionError: assert ['ran... | 2023-04-07T16:01:26 | 2023-04-27T14:43:13 | 2023-04-27T14:35:52 | MEMBER | null | This PR reorders data splits, so that by default validation appears before test.
The default order becomes: [train, validation, test] instead of [train, test, validation]. | {
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https://api.github.com/repos/huggingface/datasets/issues/5717 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5717/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5717/comments | https://api.github.com/repos/huggingface/datasets/issues/5717/events | https://github.com/huggingface/datasets/issues/5717 | 1,658,729,866 | I_kwDODunzps5i3jWK | 5,717 | Errror when saving to disk a dataset of images | {
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"Looks like as long as the number of shards makes a batch lower than 1000 images it works. In my training set I have 40K images. If I use `num_shards=40` (batch of 1000 images) I get the error, but if I update it to `num_shards=50` (batch of 800 images) it works.\r\n\r\nI will be happy to share my dataset privately... | 2023-04-07T11:59:17 | 2023-05-09T17:14:50 | null | CONTRIBUTOR | null | ### Describe the bug
Hello!
I have an issue when I try to save on disk my dataset of images. The error I get is:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 1442, in save_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5716/comments | https://api.github.com/repos/huggingface/datasets/issues/5716/events | https://github.com/huggingface/datasets/issues/5716 | 1,658,613,092 | I_kwDODunzps5i3G1k | 5,716 | Handle empty audio | {
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"Hi! Can you share one of the problematic audio files with us?\r\n\r\nI tried to reproduce the error with the following code: \r\n```python\r\nimport soundfile as sf\r\nimport numpy as np\r\nfrom datasets import Audio\r\n\r\nsf.write(\"empty.wav\", np.array([]), 16000)\r\nAudio(sampling_rate=24000).decode_example(... | 2023-04-07T09:51:40 | 2023-04-13T17:33:36 | null | NONE | null | Some audio paths exist, but they are empty, and an error will be reported when reading the audio path.How to use the filter function to avoid the empty audio path?
when a audio is empty, when do resample , it will break:
`array, sampling_rate = sf.read(f) array = librosa.resample(array, orig_sr=sampling_rate, target_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5715 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5715/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5715/comments | https://api.github.com/repos/huggingface/datasets/issues/5715/events | https://github.com/huggingface/datasets/issues/5715 | 1,657,479,788 | I_kwDODunzps5iyyJs | 5,715 | Return Numpy Array (fixed length) Mode, in __get_item__, Instead of List | {
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"Hi! \r\n\r\nYou can use [`.set_format(\"np\")`](https://huggingface.co/docs/datasets/process#format) to get NumPy arrays (or Pytorch tensors with `.set_format(\"torch\")`) in `__getitem__`.\r\n\r\nAlso, have you been able to reproduce the linked PyTorch issue with a HF dataset?\r\n "
] | 2023-04-06T13:57:48 | 2023-04-20T17:16:26 | 2023-04-20T17:16:26 | NONE | null | ### Feature request
There are old known issues, but they can be easily forgettable problems in multiprocessing with pytorch-dataloader:
Too high usage of RAM or shared-memory in pytorch when we set num workers > 1 and returning type of dataset or dataloader is "List" or "Dict".
https://github.com/pytorch/pytorch... | {
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https://api.github.com/repos/huggingface/datasets/issues/5714 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5714/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5714/comments | https://api.github.com/repos/huggingface/datasets/issues/5714/events | https://github.com/huggingface/datasets/pull/5714 | 1,657,388,033 | PR_kwDODunzps5NxIOc | 5,714 | Fix xnumpy_load for .npz files | {
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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... | 2023-04-06T13:01:45 | 2023-04-07T09:23:54 | 2023-04-07T09:16:57 | MEMBER | null | PR:
- #5626
implemented support for streaming `.npy` files by using `numpy.load`.
However, it introduced a bug when used with `.npz` files, within a context manager:
```
ValueError: seek of closed file
```
or in streaming mode:
```
ValueError: I/O operation on closed file.
```
This PR fixes the bug an... | {
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"Hi Julien ! This sounds related to https://github.com/huggingface/datasets/issues/5695 - TL;DR: you need to have shards smaller than 2GB to avoid this issue\r\n\r\nThe number of rows per shard is computed using an estimated size of the full dataset, which can sometimes lead to shards bigger than `max_shard_size`. ... | 2023-04-06T10:27:22 | 2023-04-06T13:06:22 | 2023-04-06T13:06:21 | CONTRIBUTOR | null | ### Describe the bug
Hello,
I have created a dataset by using the image loader. Once the dataset is created I try to download it and I get the error:
```
Traceback (most recent call last):
File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/builder.py", line 1860, in _prepare_split_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5712 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5712/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5712/comments | https://api.github.com/repos/huggingface/datasets/issues/5712/events | https://github.com/huggingface/datasets/issues/5712 | 1,655,972,106 | I_kwDODunzps5itCEK | 5,712 | load_dataset in v2.11.0 raises "ValueError: seek of closed file" in np.load() | {
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"Closing since this is a duplicate of #5711",
"> Closing since this is a duplicate of #5711\r\n\r\nSorry @mariosasko , my internet went down went submitting the issue, and somehow it ended up creating a duplicate"
] | 2023-04-05T16:47:10 | 2023-04-06T08:32:37 | 2023-04-05T17:17:44 | NONE | null | ### Describe the bug
Hi,
I have some `dataset_load()` code of a custom offline dataset that works with datasets v2.10.1.
```python
ds = datasets.load_dataset(path=dataset_dir,
name=configuration,
data_dir=dataset_dir,
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5711 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5711/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5711/comments | https://api.github.com/repos/huggingface/datasets/issues/5711/events | https://github.com/huggingface/datasets/issues/5711 | 1,655,971,647 | I_kwDODunzps5itB8_ | 5,711 | load_dataset in v2.11.0 raises "ValueError: seek of closed file" in np.load() | {
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"It seems like https://github.com/huggingface/datasets/pull/5626 has introduced this error. \r\n\r\ncc @albertvillanova \r\n\r\nI think replacing:\r\nhttps://github.com/huggingface/datasets/blob/0803a006db1c395ac715662cc6079651f77c11ea/src/datasets/download/streaming_download_manager.py#L777-L778\r\nwith:\r\n```pyt... | 2023-04-05T16:46:49 | 2023-04-07T09:16:59 | 2023-04-07T09:16:59 | NONE | null | ### Describe the bug
Hi,
I have some `dataset_load()` code of a custom offline dataset that works with datasets v2.10.1.
```python
ds = datasets.load_dataset(path=dataset_dir,
name=configuration,
data_dir=dataset_dir,
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5710 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5710/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5710/comments | https://api.github.com/repos/huggingface/datasets/issues/5710/events | https://github.com/huggingface/datasets/issues/5710 | 1,655,703,534 | I_kwDODunzps5isAfu | 5,710 | OSError: Memory mapping file failed: Cannot allocate memory | {
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"Hi! This error means that PyArrow's internal [`mmap`](https://man7.org/linux/man-pages/man2/mmap.2.html) call failed to allocate memory, which can be tricky to debug. Since this error is more related to PyArrow than us, I think it's best to report this issue in their [repo](https://github.com/apache/arrow) (they a... | 2023-04-05T14:11:26 | 2023-04-20T17:16:40 | 2023-04-20T17:16:40 | NONE | null | ### Describe the bug
Hello, I have a series of datasets each of 5 GB, 600 datasets in total. So together this makes 3TB.
When I trying to load all the 600 datasets into memory, I get the above error message.
Is this normal because I'm hitting the max size of memory mapping of the OS?
Thank you
```te... | {
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https://api.github.com/repos/huggingface/datasets/issues/5709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5709/comments | https://api.github.com/repos/huggingface/datasets/issues/5709/events | https://github.com/huggingface/datasets/issues/5709 | 1,655,423,503 | I_kwDODunzps5iq8IP | 5,709 | Manually dataset info made not taken into account | {
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"hi @jplu ! Did I understand you correctly that you create the dataset, push it to the Hub with `.push_to_hub` and you see a `dataset_infos.json` file there, then you edit this file, load the dataset with `load_dataset` and you don't see any changes in `.info` attribute of a dataset object? \r\n\r\nThis is actually... | 2023-04-05T11:15:17 | 2023-04-06T08:52:20 | 2023-04-06T08:52:19 | CONTRIBUTOR | null | ### Describe the bug
Hello,
I'm manually building an image dataset with the `from_dict` approach. I also build the features with the `cast_features` methods. Once the dataset is created I push it on the hub, and a default `dataset_infos.json` file seems to have been automatically added to the repo in same time. Hen... | {
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https://api.github.com/repos/huggingface/datasets/issues/5708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5708/comments | https://api.github.com/repos/huggingface/datasets/issues/5708/events | https://github.com/huggingface/datasets/issues/5708 | 1,655,023,642 | I_kwDODunzps5ipaga | 5,708 | Dataset sizes are in MiB instead of MB in dataset cards | {
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"Example of bulk edit: https://huggingface.co/datasets/aeslc/discussions/5",
"looks great! \r\n\r\nDo you encode the fact that you've already converted a dataset? (to not convert it twice) or do you base yourself on the info contained in `dataset_info`",
"I am only looping trough the dataset cards, assuming tha... | 2023-04-05T06:36:03 | 2023-04-24T19:23:40 | null | MEMBER | null | As @severo reported in an internal discussion (https://github.com/huggingface/moon-landing/issues/5929):
Now we show the dataset size:
- from the dataset card (in the side column)
- from the datasets-server (in the viewer)
But, even if the size is the same, we see a mismatch because the viewer shows MB, while t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5706 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5706/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5706/comments | https://api.github.com/repos/huggingface/datasets/issues/5706/events | https://github.com/huggingface/datasets/issues/5706 | 1,653,545,835 | I_kwDODunzps5ijxtr | 5,706 | Support categorical data types for Parquet | {
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"Hi ! We could definitely a type that holds the categories and uses a DictionaryType storage. There's a ClassLabel type that is similar with a 'names' parameter (similar to a id2label in deep learning frameworks) that uses an integer array as storage.\r\n\r\nIt can be added in `features.py`. Here are some pointers:... | 2023-04-04T09:45:35 | 2023-05-10T15:40:59 | null | NONE | null | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | {
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https://api.github.com/repos/huggingface/datasets/issues/5705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5705/comments | https://api.github.com/repos/huggingface/datasets/issues/5705/events | https://github.com/huggingface/datasets/issues/5705 | 1,653,500,383 | I_kwDODunzps5ijmnf | 5,705 | Getting next item from IterableDataset took forever. | {
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"Hi! It can take some time to iterate over Parquet files as big as yours, convert the samples to Python, and find the first one that matches a filter predicate before yielding it...",
"Thanks @mariosasko, I figured it was the filter operation. I'm closing this issue because it is not a bug, it is the expected beh... | 2023-04-04T09:16:17 | 2023-04-05T23:35:41 | 2023-04-05T23:35:41 | NONE | null | ### Describe the bug
I have a large dataset, about 500GB. The format of the dataset is parquet.
I then load the dataset and try to get the first item
```python
def get_one_item():
dataset = load_dataset("path/to/datafiles", split="train", cache_dir=".", streaming=True)
dataset = dataset.filter(lambda... | {
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https://api.github.com/repos/huggingface/datasets/issues/5704 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5704/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5704/comments | https://api.github.com/repos/huggingface/datasets/issues/5704/events | https://github.com/huggingface/datasets/pull/5704 | 1,653,471,356 | PR_kwDODunzps5NkEvJ | 5,704 | 5537 speedup load | {
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"Awesome ! cc @mariosasko :)",
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5704). All of your documentation changes will be reflected on that endpoint.",
"Hi, thanks for working on this!\r\n\r\nYour solution only works if the `root` is `\"\"`, e.g., this would yield an... | 2023-04-04T08:58:14 | 2023-04-07T16:10:55 | null | NONE | null | I reimplemented fsspec.spec.glob() in `hffilesystem.py` as `_glob`, used it in `_resolve_single_pattern_in_dataset_repository` only, and saw a 20% speedup in times to load the config, on average.
That's not much when usually this step takes only 2-3 seconds for most datasets, but in this particular case, `bigcode... | {
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https://api.github.com/repos/huggingface/datasets/issues/5703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5703/comments | https://api.github.com/repos/huggingface/datasets/issues/5703/events | https://github.com/huggingface/datasets/pull/5703 | 1,653,158,955 | PR_kwDODunzps5NjCCV | 5,703 | [WIP][Test, Please ignore] Investigate performance impact of using multiprocessing only | {
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"`multiprocess` uses `dill` instead of `pickle` for pickling shared objects and, as such, can pickle more types than `multiprocessing`. And I don't think this is something we want to change :).",
"That makes sense to me, and I don't think you should merge this change. I was only curious about the performance impa... | 2023-04-04T04:37:49 | 2023-04-20T03:17:37 | 2023-04-20T03:17:32 | NONE | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5702 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5702/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5702/comments | https://api.github.com/repos/huggingface/datasets/issues/5702/events | https://github.com/huggingface/datasets/issues/5702 | 1,653,104,720 | I_kwDODunzps5iiGBQ | 5,702 | Is it possible or how to define a `datasets.Sequence` that could potentially be either a dict, a str, or None? | {
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"Hi ! `datasets` uses Apache Arrow as backend to store the data, and it requires each column to have a fixed type. Therefore a column can't have a mix of dicts/lists/strings.\r\n\r\nThough it's possible to have one (nullable) field for each type:\r\n```python\r\nfeatures = Features({\r\n \"text_alone\": Value(\"... | 2023-04-04T03:20:43 | 2023-04-05T14:15:18 | 2023-04-05T14:15:17 | NONE | null | ### Feature request
Hello! Apologies if my question sounds naive:
I was wondering if it’s possible, or how one would go about defining a 'datasets.Sequence' element in datasets.Features that could potentially be either a dict, a str, or None?
Specifically, I’d like to define a feature for a list that contains 18... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@mariosasko Would you or another HF datasets maintainer be able to review this, please?",
"Amazing ! Great job @maddiedawson \r\n\r\nDo you know if it's possible to also support writing to Parquet using the HF ParquetWriter if `fil... | 2023-04-03T23:51:29 | 2023-04-27T17:26:53 | 2023-04-26T15:43:39 | CONTRIBUTOR | null | Adds static method Dataset.from_spark to create datasets from Spark DataFrames.
This approach alleviates users of the need to materialize their dataframe---a common use case is that the user loads their dataset into a dataframe, uses Spark to apply some transformation to some of the columns, and then wants to train ... | {
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"Have you tried to set the cache file names if `keep_in_memory`is True ?\r\n\r\n```diff\r\n- if self.cache_files:\r\n+ if self.cache_files and not keep_in_memory:\r\n```\r\n\r\nThis way it doesn't change the indice cache arguments and leave them as `None`",
"@lhoestq \r\nRegarding what you suggest:\r\nThe thing i... | 2023-04-03T18:05:26 | 2023-04-06T17:17:27 | null | NONE | null | …ers values in 'train_test_split' + fix bad interaction between 'keep_in_memory' and 'cache_file_name' -related parameters (#5699) | {
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https://api.github.com/repos/huggingface/datasets/issues/5699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5699/comments | https://api.github.com/repos/huggingface/datasets/issues/5699/events | https://github.com/huggingface/datasets/issues/5699 | 1,652,437,419 | I_kwDODunzps5ifjGr | 5,699 | Issue when wanting to split in memory a cached dataset | {
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"Hi ! Good catch, this is wrong indeed and thanks for opening a PR :)"
] | 2023-04-03T17:00:07 | 2023-04-04T16:52:42 | null | NONE | null | ### Describe the bug
**In the 'train_test_split' method of the Dataset class** (defined datasets/arrow_dataset.py), **if 'self.cache_files' is not empty**, then, **regarding the input parameters 'train_indices_cache_file_name' and 'test_indices_cache_file_name', if they are None**, we modify them to make them not No... | {
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https://api.github.com/repos/huggingface/datasets/issues/5698 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5698/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5698/comments | https://api.github.com/repos/huggingface/datasets/issues/5698/events | https://github.com/huggingface/datasets/issues/5698 | 1,652,183,611 | I_kwDODunzps5ielI7 | 5,698 | Add Qdrant as another search index | {
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"@mariosasko I'd appreciate your feedback on this. "
] | 2023-04-03T14:25:19 | 2023-04-11T10:28:40 | null | CONTRIBUTOR | null | ### Feature request
I'd suggest adding Qdrant (https://qdrant.tech) as another search index available, so users can directly build an index from a dataset. Currently, FAISS and ElasticSearch are only supported: https://huggingface.co/docs/datasets/faiss_es
### Motivation
ElasticSearch is a keyword-based search syst... | {
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https://api.github.com/repos/huggingface/datasets/issues/5697 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5697/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5697/comments | https://api.github.com/repos/huggingface/datasets/issues/5697/events | https://github.com/huggingface/datasets/pull/5697 | 1,651,812,614 | PR_kwDODunzps5NefxZ | 5,697 | Raise an error on missing distributed seed | {
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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... | 2023-04-03T10:44:58 | 2023-04-04T15:05:24 | 2023-04-04T14:58:16 | MEMBER | null | close https://github.com/huggingface/datasets/issues/5696 | {
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https://api.github.com/repos/huggingface/datasets/issues/5696 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5696/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5696/comments | https://api.github.com/repos/huggingface/datasets/issues/5696/events | https://github.com/huggingface/datasets/issues/5696 | 1,651,707,008 | I_kwDODunzps5icwyA | 5,696 | Shuffle a sharded iterable dataset without seed can lead to duplicate data | {
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If `seed=None` in `.shuffle()`, shuffled datasets don't use the same shuffling seed across nodes.
Because of that, the lists of shards is not shuffled the same way across nodes, and therefore some shards may be assigned to multiple nodes instead o... | {
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"Hi ! It looks like an issue with PyArrow: https://issues.apache.org/jira/browse/ARROW-5030\r\n\r\nIt appears it can happen when you have parquet files with row groups larger than 2GB.\r\nI can see that your parquet files are around 10GB. It is usually advised to keep a value around the default value 500MB to avoid... | 2023-04-02T14:42:44 | 2023-04-11T09:17:54 | 2023-04-10T08:04:04 | NONE | null | ### Describe the bug
Calling `datasets.load_dataset` to load the (publicly available) dataset `theodor1289/wit` fails with `pyarrow.lib.ArrowNotImplementedError`.
### Steps to reproduce the bug
Steps to reproduce this behavior:
1. `!pip install datasets`
2. `!huggingface-cli login`
3. This step will throw the e... | {
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"Originally we also though about adding it to the YAML part of the README.md:\r\n\r\n```yaml\r\nbuilder_config:\r\n data_dir: data\r\n data_files:\r\n - split: train\r\n pattern: \"train-[0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.*\"\r\n```\r\n\r\nHaving it in the README.md could make it easier to mod... | 2023-04-01T13:08:05 | 2023-04-04T14:54:37 | null | MEMBER | null | Following discussions from https://github.com/huggingface/datasets/pull/5331
We could have something like `config.json` to define the configuration of a dataset.
```json
{
"data_dir": "data"
"data_files": {
"train": "train-[0-9][0-9][0-9][0-9]-of-[0-9][0-9][0-9][0-9][0-9]*.*"
}
}
```
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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... | 2023-03-31T19:51:38 | 2023-04-03T18:43:30 | 2023-04-03T18:29:58 | MEMBER | null | This PR addresses #5681 about the order of split patterns 🤗 Datasets searches for when generating dataset splits. | {
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https://api.github.com/repos/huggingface/datasets/issues/5692 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5692/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5692/comments | https://api.github.com/repos/huggingface/datasets/issues/5692/events | https://github.com/huggingface/datasets/issues/5692 | 1,649,818,644 | I_kwDODunzps5iVjwU | 5,692 | pyarrow.lib.ArrowInvalid: Unable to merge: Field <field> has incompatible types | {
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"Hi! The link pointing to the code that generated the dataset is broken. Can you please fix it to make debugging easier?",
"> Hi! The link pointing to the code that generated the dataset is broken. Can you please fix it to make debugging easier?\r\n\r\nSorry about that, it's fixed now.\r\n"
] | 2023-03-31T18:19:40 | 2023-04-04T14:38:30 | null | NONE | null | ### Describe the bug
When loading the dataset [wikianc-en](https://huggingface.co/datasets/cyanic-selkie/wikianc-en) which I created using [this](https://github.com/cyanic-selkie/wikianc) code, I get the following error:
```
Traceback (most recent call last):
File "/home/sven/code/rector/answer-detection/trai... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"[Confirmed](https://huggingface.slack.com/archives/C02EMARJ65P/p1680541667004199) with the Hub team the file size limit for the Hugging Face Hub is 10MB :)",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<deta... | 2023-03-31T17:17:26 | 2023-04-19T13:37:32 | 2023-04-19T07:25:58 | MEMBER | null | This PR addresses the comments in #5687 about compressing text file extensions before uploading to the Hub. Also clarified what "too large" means based on the GitLFS [docs](https://docs.github.com/en/repositories/working-with-files/managing-large-files/about-git-large-file-storage). | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset(\"wikipedia\", \"20220301.en\", split=\"train\", streaming=True); item = next(iter(ds)); item\r\nOut[2]: \r\n{'id': '12',\r\n 'url': 'https://en.... | 2023-03-31T08:44:24 | 2023-04-12T05:57:55 | 2023-04-12T05:50:31 | MEMBER | null | This PR implements streaming Apache Beam datasets that are already preprocessed by us and stored in the HF Google Cloud Storage:
- natural_questions
- wiki40b
- wikipedia
This is done by streaming from the prepared Arrow files in HF Google Cloud Storage.
This will fix their corresponding dataset viewers. Relat... | {
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"Hi @wccccp, thanks for reporting. \r\nThat's weird since `huggingface_hub` _has_ a module called `hf_api` and you are using a recent version of it. \r\n\r\nWhich version of `datasets` are you using? And is it a bug that you experienced only recently? (cc @lhoestq can it be somehow related to the recent release of ... | 2023-03-31T08:22:22 | 2023-04-03T16:02:25 | null | NONE | null | ### Describe the bug
rta.sh
Traceback (most recent call last):
File "run.py", line 7, in <module>
import datasets
File "/home/appuser/miniconda3/envs/pt2/lib/python3.8/site-packages/datasets/__init__.py", line 37, in <module>
from .builder import ArrowBasedBuilder, BeamBasedBuilder, BuilderConfig, Dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/5688 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5688/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5688/comments | https://api.github.com/repos/huggingface/datasets/issues/5688/events | https://github.com/huggingface/datasets/issues/5688 | 1,648,463,504 | I_kwDODunzps5iQY6Q | 5,688 | Wikipedia download_and_prepare for GCS | {
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"Hi @adrianfagerland, thanks for reporting.\r\n\r\nPlease note that \"wikipedia\" is a special dataset, with an Apache Beam builder: https://beam.apache.org/\r\nYou can find more info about Beam datasets in our docs: https://huggingface.co/docs/datasets/beam\r\n\r\nIt was implemented to be run in parallel processin... | 2023-03-30T23:43:22 | 2023-03-31T13:31:32 | null | NONE | null | ### Describe the bug
I am unable to download the wikipedia dataset onto GCS.
When I run the script provided the memory firstly gets eaten up, then it crashes.
I tried running this on a VM with 128GB RAM and all I got was a two empty files: _data_builder.lock_, _data.incomplete/beam-temp-wikipedia-train-1ab2039a... | {
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"Great idea!\r\n\r\nShould we also take this opportunity to include some audio/image file formats? Currently, it still reads very text heavy. Something like:\r\n\r\n> We support many text, audio, and image data extensions such as `.zip`, `.rar`, `.mp3`, and `.jpg` among many others. For data extensions like `.csv`,... | 2023-03-30T06:41:07 | 2023-04-19T07:25:59 | 2023-04-19T07:25:59 | MEMBER | null | In our docs to [Share a dataset to the Hub](https://huggingface.co/docs/datasets/upload_dataset), we tell users to upload directly their data files, like CSV, JSON, JSON-Lines, text,... However, these extensions are not tracked by Git LFS by default, as they are not in the `.giattributes` file. Therefore, if they are t... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5686). 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... | 2023-03-29T18:24:13 | 2023-03-29T18:33:49 | 2023-03-29T18:24:22 | MEMBER | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5685 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5685/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5685/comments | https://api.github.com/repos/huggingface/datasets/issues/5685/events | https://github.com/huggingface/datasets/issues/5685 | 1,646,048,667 | I_kwDODunzps5iHLWb | 5,685 | Broken Image render on the hub website | {
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"Hi! \r\n\r\nYou can fix the viewer by adding the `dataset_info` YAML field deleted in https://huggingface.co/datasets/Francesco/cell-towers/commit/b95b59ddd91ebe9c12920f0efe0ed415cd0d4298 back to the metadata section of the card. \r\n\r\nTo avoid this issue in the feature, you can use `huggingface_hub`'s [RepoCard... | 2023-03-29T15:25:30 | 2023-03-30T07:54:25 | 2023-03-30T07:54:25 | NONE | null | ### Describe the bug
Hi :wave:
Not sure if this is the right place to ask, but I am trying to load a huge amount of datasets on the hub (:partying_face: ) but I am facing a little issue with the `image` type
![image](https://user-images.githubusercontent.com/15908060/228587875-427a37f1-3a31-4e17-8bbe-0f75900391... | {
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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... | 2023-03-29T15:00:50 | 2023-03-29T17:36:06 | 2023-03-29T17:28:57 | MEMBER | null | This PR fixes the values assigned to `verification_mode` when passing `ignore_verifications` to `load_dataset`.
Related to:
- #5303
Fix #5682. | {
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```
ValueError: 'none' is not a valid VerificationMode
``` | {
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"Good idea, I think I've seen this a couple of times before too on the forums. I can work on this :)",
"Closed in #5693 "
] | 2023-03-29T11:44:49 | 2023-04-03T18:31:11 | 2023-04-03T18:31:11 | CONTRIBUTOR | null | Following [this](https://github.com/huggingface/datasets/issues/5650) issue I think we should add a note about the order of patterns that is used to find splits, see [my comment](https://github.com/huggingface/datasets/issues/5650#issuecomment-1488412527). Also we should reference this page in pages about packaged load... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"_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_a... | 2023-03-29T09:50:23 | 2023-03-30T13:14:19 | 2023-03-30T13:07:18 | CONTRIBUTOR | null | There is a description mistake in the annotation of interleave_dataset with "all_exhausted" stopping_strategy.
``` python
d1 = Dataset.from_dict({"a": [0, 1, 2]})
d2 = Dataset.from_dict({"a": [10, 11, 12, 13]})
d3 = Dataset.from_dict({"a": [20, 21, 22, 23, 24]})
dataset = interleave_datasets([d1, d2, d3], stopping... | {
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"Hi ! AFAIK a dataset must be present on a local disk to be able to efficiently memory map the datasets Arrow files. What makes you think that it is possible to load from a cloud storage and have good performance ?\r\n\r\nAnyway it's already possible to download_and_prepare a dataset as Arrow files in a cloud stora... | 2023-03-29T07:21:09 | 2023-04-12T22:30:25 | null | NONE | null | ### Feature request
As a user, I can set a working dir for intermediate data creation. The processed files will be moved to the cache dir, like
```
load_dataset(…, working_dir=”/temp/dir”, cache_dir=”/cloud_dir”).
```
### Motivation
This will help the use case for using datasets with cloud storage as cache. It wi... | {
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Add a new API `Dataset.from_spark` to create a Dataset from Spark DataFrame.
### Motivation
Spark is a distributed computing framework that can handle large datasets. By supporting loading Spark DataFrames directly into Hugging Face Datasets, we enable take the advantages of spark to processing t... | {
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`Dataset.map()` crashes any time any column contains more than `writer_batch_size` (default 1000) empty dictionaries, regardless of whether the column is being operated on. The error does not occur if the dictionaries are non-empty.
### Steps to reproduce the bug
Example:
```
import datasets... | {
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"The dataset still can be found, if instead of using the search form you just enter the language code in the url, like https://huggingface.co/datasets?language=language:myv. \r\n\r\nBut of course having a more complete list of languages in the search form (or just a fallback to the language codes, if they are missi... | 2023-03-27T09:42:28 | 2023-03-30T08:08:15 | 2023-03-30T08:08:15 | NONE | null | Hi! I use the language search field on https://huggingface.co/datasets
However, some of the datasets tagged by ISO language code are not accessible by this search form.
For example, [myv_ru_2022](https://huggingface.co/datasets/slone/myv_ru_2022) is has `myv` language tag but it is not included in Languages search fo... | {
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"Hi! You can contact `security@huggingface.co` to report this vulnerability."
] | 2023-03-26T20:55:58 | 2023-03-27T21:01:55 | 2023-03-27T21:01:55 | NONE | null | ### Describe the bug
I found a Stored XSS on a page that can be publicly accessible to all visitors. But I didn't find a suitable place to report.
Please guide me on this.
### Steps to reproduce the bug
Due to security restrictions, I don't want to publish it publicly.
### Expected behavior
User inputs must be ... | {
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"> download_and_prepare is not called when streaming a dataset, so we may need to have storage_options in the DatasetBuilder.__init__ ? This way it could also be passed later to as_streaming_dataset and the StreamingDownloadManager\r\... | 2023-03-26T20:09:37 | 2023-03-28T15:03:38 | 2023-03-28T14:54:17 | CONTRIBUTOR | null | Remove implementation-specific kwargs from `file_utils.fsspec_get` and `file_utils.fsspec_head`, instead allowing them to be passed down via `storage_options`. This fixes an issue where s3fs did not recognize a timeout arg as well as fixes an issue mentioned in https://github.com/huggingface/datasets/issues/5281 by all... | {
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"Hi ! It's been fixed by https://github.com/huggingface/datasets/pull/5598. We're doing a new release tomorrow with the fix and you'll be able to push your 100k images ;)\r\n\r\nBasically `push_to_hub` used to fail if the remote repository already exists and has a README.md without dataset_info in the YAML tags.\r\... | 2023-03-26T17:42:13 | 2023-03-30T08:11:05 | 2023-03-30T08:11:05 | NONE | null | ### Describe the bug
Uploading a dataset with `push_to_hub()` fails without error description.
### Steps to reproduce the bug
Hey there,
I've built a image dataset of 100k images + text pair as described here https://huggingface.co/docs/datasets/image_dataset#imagefolder
Now I'm trying to push it to the hub b... | {
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"Sounds like an issue with incompatible `transformers` dependencies versions.\r\n\r\nCan you try to update `transformers` ?\r\n\r\nEDIT: I checked the `transformers` dependencies and it seems like you need `tokenizers>=0.10.1,<0.11` with `transformers==4.5.1`\r\n\r\nEDIT2: this old version of `datasets` seems to im... | 2023-03-26T09:40:34 | 2023-03-28T07:43:44 | 2023-03-28T07:43:43 | NONE | null | ### Describe the bug
I'm new to use HuggingFace datasets but I cannot use `load_dataset('glue', 'cola')`.
- I was stacked by the following problem:
```python
from datasets import load_dataset
cola_dataset = load_dataset('glue', 'cola')
------------------------------------------------------------------------... | {
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https://api.github.com/repos/huggingface/datasets/issues/5670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5670/comments | https://api.github.com/repos/huggingface/datasets/issues/5670/events | https://github.com/huggingface/datasets/issues/5670 | 1,640,607,045 | I_kwDODunzps5hya1F | 5,670 | Unable to load multi class classification datasets | {
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"Hi ! This sounds related to https://github.com/huggingface/datasets/issues/5406\r\n\r\nUpdating `datasets` fixes the issue ;)",
"Thanks @lhoestq!\r\n\r\nI'll close this issue now."
] | 2023-03-25T18:06:15 | 2023-03-27T22:54:56 | 2023-03-27T22:54:56 | NONE | null | ### Describe the bug
I've been playing around with huggingface library, mostly with `datasets` and wanted to download the multi class classification datasets to fine tune BERT on this task. ([link](https://huggingface.co/docs/transformers/training#train-with-pytorch-trainer)).
While loading the dataset, I'm getting... | {
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https://api.github.com/repos/huggingface/datasets/issues/5669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5669/comments | https://api.github.com/repos/huggingface/datasets/issues/5669/events | https://github.com/huggingface/datasets/issues/5669 | 1,638,070,046 | I_kwDODunzps5hovce | 5,669 | Almost identical datasets, huge performance difference | {
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"Do I miss something here?",
"Hi! \r\n\r\nThe first dataset stores images as bytes (the \"image\" column type is `datasets.Image()`) and decodes them as `PIL.Image` objects and the second dataset stores them as variable-length lists (the \"image\" column type is `datasets.Sequence(...)`)), so I guess going from `... | 2023-03-23T18:20:20 | 2023-04-09T18:56:23 | null | CONTRIBUTOR | null | ### Describe the bug
I am struggling to understand (huge) performance difference between two datasets that are almost identical.
### Steps to reproduce the bug
# Fast (normal) dataset speed:
```python
import cv2
from datasets import load_dataset
from torch.utils.data import DataLoader
dataset = load_dataset(... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5668). All of your documentation changes will be reflected on that endpoint.",
"My previous comment didn't create the retro-link in the PR. I write it here again.\r\n\r\nYou can check the context and the discussions we had abou... | 2023-03-23T17:53:39 | 2023-03-24T06:43:14 | null | CONTRIBUTOR | null | We can pass split to `_split_generators()`.
But I'm not sure if it's possible to solve cache issues, mostly with `dataset_info.json` | {
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https://api.github.com/repos/huggingface/datasets/issues/5667 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5667/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5667/comments | https://api.github.com/repos/huggingface/datasets/issues/5667/events | https://github.com/huggingface/datasets/pull/5667 | 1,637,789,361 | PR_kwDODunzps5Mv8Im | 5,667 | Jax requires jaxlib | {
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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... | 2023-03-23T15:41:09 | 2023-03-23T16:23:11 | 2023-03-23T16:14:52 | MEMBER | null | close https://github.com/huggingface/datasets/issues/5666 | {
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- #5663
we should revert the temporary pin on tensorflow introduced by:
- #5664 | {
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It'd be great to have a lazy push to hub, similar to the lazy loading we have with `IterableDataset`.
Suppose you'd like to filter [LAION](https://huggingface.co/datasets/laion/laion400m) based on certain conditions, but as LAION doesn't fit into your disk, you'd like to leverage streaming:
`... | {
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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... | 2023-03-23T09:52:26 | 2023-03-23T10:17:11 | 2023-03-23T10:09:54 | MEMBER | null | As a hotfix for our CI, temporarily pin `tensorflow` upper version:
- In Python 3.10, tensorflow-2.12.0 also installs `jax`
Fix #5663
Until root cause is fixed. | {
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```
FAILED tests/test_arrow_dataset.py::BaseDatasetTest::test_map_jax_in_memory - ModuleNotFoundError: jax requires jaxlib to be installed. See https://github.com/google/jax#installation for installati... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I am merging because the CI error is unrelated.",
"<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 | re... | 2023-03-23T09:18:58 | 2023-03-23T09:46:59 | 2023-03-23T09:37:49 | MEMBER | null | After ruff-0.0.258 release, the C416 rule was updated with unnecessary dict comprehensions. See:
- https://github.com/charliermarsh/ruff/releases/tag/v0.0.258
- https://github.com/charliermarsh/ruff/pull/3605
This PR fixes one unnecessary dict comprehension in our code: no need to unpack and re-pack the tuple valu... | {
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```
src/datasets/arrow_dataset.py:3267:35: C416 [*] Unnecessary `dict` comprehension (rewrite using `dict()`)
Found 1 error.
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/5660 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5660/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5660/comments | https://api.github.com/repos/huggingface/datasets/issues/5660/events | https://github.com/huggingface/datasets/issues/5660 | 1,635,543,646 | I_kwDODunzps5hfGpe | 5,660 | integration with imbalanced-learn | {
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"You can convert any dataset to pandas to be used with imbalanced-learn using `.to_pandas()`\r\n\r\nOtherwise if you want to keep a `Dataset` object and still use e.g. [make_imbalance](https://imbalanced-learn.org/stable/references/generated/imblearn.datasets.make_imbalance.html#imblearn.datasets.make_imbalance), y... | 2023-03-22T11:05:17 | 2023-03-23T17:00:39 | null | NONE | null | ### Feature request
Wouldn't it be great if the various class balancing operations from imbalanced-learn were available as part of datasets?
### Motivation
I'm trying to use imbalanced-learn to balance a dataset, but it's not clear how to get the two to interoperate - what would be great would be some examples. I'v... | {
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https://api.github.com/repos/huggingface/datasets/issues/5659 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5659/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5659/comments | https://api.github.com/repos/huggingface/datasets/issues/5659/events | https://github.com/huggingface/datasets/issues/5659 | 1,635,447,540 | I_kwDODunzps5hevL0 | 5,659 | [Audio] Soundfile/libsndfile requirements too stringent for decoding mp3 files | {
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"cc @polinaeterna @lhoestq ",
"@sanchit-gandhi can you please also post the logs of `pip install soundfile==0.12.1`? To check what wheel is being installed or if it's being built from source (I think it's the latter case). \r\nRequired `libsndfile` binary **should** be bundeled with `soundfile` wheel but I assume... | 2023-03-22T10:07:33 | 2023-04-28T03:25:39 | 2023-04-07T08:51:28 | CONTRIBUTOR | null | ### Describe the bug
I'm encountering several issues trying to load mp3 audio files using `datasets` on a TPU v4.
The PR https://github.com/huggingface/datasets/pull/5573 updated the audio loading logic to rely solely on the `soundfile`/`libsndfile` libraries for loading audio samples, regardless of their file t... | {
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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... | 2023-03-22T00:12:18 | 2023-03-24T16:43:34 | 2023-03-24T16:36:21 | CONTRIBUTOR | null | Closes #5653
@mariosasko | {
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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... | 2023-03-21T15:23:29 | 2023-03-23T14:14:50 | 2023-03-23T13:15:46 | CONTRIBUTOR | null | Most HTTP(S) downloads from this library support proxy automatically by reading the `HTTP_PROXY` environment variable (et al.) because `requests` is widely used. However, in some parts of the code, `fsspec` is used, which in turn uses `aiohttp` for HTTP(S) requests (as opposed to `requests`), which in turn doesn't supp... | {
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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... | 2023-03-21T14:18:09 | 2023-03-23T13:19:27 | 2023-03-23T13:12:25 | MEMBER | null | Following discussion at https://github.com/huggingface/datasets/pull/5589
Right now `to_iterable_dataset` on images/audio hurts iterable dataset performance a lot (e.g. x4 slower because it encodes+decodes images/audios unnecessarily).
I fixed it by providing a generator that yields undecoded examples | {
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"Upd. the above code works if we replace `25` with `1`, but the result value at key \"hr\" is not a tensor but a list of lists of lists of uint8.\r\n\r\nAdding `train_data.set_format(\"torch\")` after map fixes this, but the original issue remains\r\n\r\n",
"As a workaround, one can replace\r\n`return {\"hr\": to... | 2023-03-21T09:33:27 | 2023-03-21T10:32:07 | null | NONE | null | ### Describe the bug
Hi, I'm trying to use `.map` method to cache multiple random crops from the image to speed up data processing during training, as the image size is too big.
The map function executes all iterations, and then returns the following error:
```bash
Traceback (most recent call last): ... | {
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"I agree this should be documented"
] | 2023-03-21T05:25:35 | 2023-03-24T16:36:23 | 2023-03-24T16:36:23 | NONE | null | ### Describe the bug
[`num_proc`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.DatasetDict.save_to_disk.num_proc) will affect `num_shards`, but it's not documented
### Steps to reproduce the bug
Nothing to reproduce
### Expected behavior
[document of `num_shards`](https://... | {
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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... | 2023-03-20T17:17:23 | 2023-03-23T13:19:19 | 2023-03-23T13:12:08 | MEMBER | null | Some users (even internally at HF) are doing
```python
dset_features = dset.features
dset_features.pop(col_to_remove)
dset = dset.map(..., features=dset_features)
```
Right now this causes issues because it modifies the features dict in place before the map.
In this PR I modified `dset.features` to return a ... | {
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"`save_to_disk` should indeed expand `~`. Marking it as a \"good first issue\".",
"#self-assign",
"Hello, \r\nIt says `save_to_disk` is deprecated in 2.8.0, so the alternative to this will be `storage_options`? \r\n\r\nhttps://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.save_to_... | 2023-03-20T12:02:18 | 2023-04-15T20:35:22 | null | NONE | null | ### Describe the bug
save_to_disk() does not expand `~`
1. `dataset = load_datasets("any dataset")`
2. `dataset.save_to_disk("~/data")`
3. a folder named "~" created in current folder
4. FileNotFoundError is raised, because the expanded path does not exist (`/home/<user>/data`)
related issue https://github.... | {
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https://api.github.com/repos/huggingface/datasets/issues/5650 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5650/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5650/comments | https://api.github.com/repos/huggingface/datasets/issues/5650/events | https://github.com/huggingface/datasets/issues/5650 | 1,630,336,919 | I_kwDODunzps5hLPeX | 5,650 | load_dataset can't work correct with my image data | {
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"Can you post a reproducible code snippet of what you tried to do?\r\n\r\n",
"> Can you post a reproducible code snippet of what you tried to do?\n> \n> \n\n```python\nfrom datasets import load_dataset\n\ndataset = load_dataset(\"my_folder_name\", split=\"train\")\n```",
"hi @WiNE-iNEFF ! can you please also te... | 2023-03-18T13:59:13 | 2023-04-03T14:03:04 | null | NONE | null | I have about 20000 images in my folder which divided into 4 folders with class names.
When i use load_dataset("my_folder_name", split="train") this function create dataset in which there are only 4 images, the remaining 19000 images were not added there. What is the problem and did not understand. Tried converting imag... | {
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"Thanks for reporting, @lsb. \r\n\r\nWe are investigating it.\r\n\r\nOn the other hand, please note that in the next `datasets` release, the index will not be created by default (see #5583). If you would like to have it, you will need to explicitly pass `index=True`. "
] | 2023-03-18T05:25:17 | 2023-03-20T13:16:12 | null | NONE | null | ### Describe the bug
It seems like the "index" column is designed to be unique? The values are only unique per batch. The SQL index is not a unique index.
This can be a problem, for instance, when building a faiss index on a dataset and then trying to match up ids with a sql export.
### Steps to reproduce the ... | {
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"Thanks for reporting! This can be fixed by setting the format to `arrow` in `flatten_indices` and restoring the original format after the flattening. I'm working on a PR that reduces the number of the `flatten_indices` calls in our codebase and makes `flatten_indices` a no-op when a dataset does not have an indice... | 2023-03-17T12:44:25 | 2023-03-21T13:12:03 | null | NONE | null | ### Describe the bug
Hi,
I noticed that `flatten_indices` throws an error when the batch format is `pandas`. This is probably due to the fact that flatten_indices uses map internally which doesn't accept dataframes as the transformation function output
### Steps to reproduce the bug
tabular_data = pd.DataFrame(np.r... | {
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"related to #5444 "
] | 2023-03-16T20:30:07 | 2023-03-23T16:37:05 | null | NONE | null | ### Feature request
Make all print statements optional to speed up the development
### Motivation
Im loading multiple tiny datasets and all the print statements make the loading slower
### Your contribution
I can help contribute | {
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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... | 2023-03-16T16:17:03 | 2023-03-16T17:21:58 | 2023-03-16T17:14:50 | CONTRIBUTOR | null | Fix #5641 | {
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"It looks like an error that we observed once in https://github.com/huggingface/datasets/pull/5166\r\n\r\nCan you try to update `datasets` ?\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\nif it doesn't work, can you make sure you don't have packages installed that may modify `dill`'s behavior, such as `apache-... | 2023-03-16T10:01:28 | 2023-03-17T04:24:51 | 2023-03-17T04:24:51 | NONE | null | ### Describe the bug
I'm using Huggingface Datasets library to load the dataset in google colab
When I do,
> data = train_dataset.select(range(10))
or
> train_datasets = train_dataset.map(
> process_data_to_model_inputs,
> batched=True,
> batch_size=batch_size,
> remove_columns... | {
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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... | 2023-03-15T20:02:54 | 2023-03-16T14:20:44 | 2023-03-16T14:12:55 | CONTRIBUTOR | null | To address https://github.com/huggingface/datasets/discussions/5593.
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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... | 2023-03-15T19:32:40 | 2023-03-16T17:23:06 | 2023-03-16T17:15:40 | CONTRIBUTOR | null | For consistency with `pa.Table.from_pydict`, which supports both Python lists and PyArrow arrays as column values.
"Fixes" https://discuss.huggingface.co/t/pyarrow-lib-floatarray-did-not-recognize-python-value-type-when-inferring-an-arrow-data-type/33417 | {
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```
requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://hub-ci.huggingface.co/api/datasets/__DUMMY_TRANSFORMERS_USER__/...
```
(e.g. from this [failing CI](https://github.com/huggingface/datasets/actions/runs/4428956210/jobs/7769160997))
0.11.0 is the current mini... | {
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https://api.github.com/repos/huggingface/datasets/issues/5641 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5641/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5641/comments | https://api.github.com/repos/huggingface/datasets/issues/5641/events | https://github.com/huggingface/datasets/issues/5641 | 1,625,942,730 | I_kwDODunzps5g6erK | 5,641 | Features cannot be named "self" | {
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"followers_url": "https://api... | [] | closed | false | null | [] | null | [] | 2023-03-15T17:16:40 | 2023-03-16T17:14:51 | 2023-03-16T17:14:51 | NONE | null | ### Describe the bug
Hi,
I noticed that we cannot create a HuggingFace dataset from Pandas DataFrame with a column named `self`.
The error seems to be coming from arguments validation in the `Features.from_dict` function.
### Steps to reproduce the bug
```python
import datasets
dummy_pandas = pd.DataFrame([0... | {
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