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https://github.com/huggingface/datasets/pull/6191 | 6,191 | Add missing `revision` argument | {
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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... | 2023-08-29T13:05:04Z | 2023-09-04T06:38:17Z | 2023-08-31T13:50:00Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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. | {
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https://github.com/huggingface/datasets/issues/6190 | 6,190 | `Invalid user token` even when correct user token is passed! | {
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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"
] | 2023-08-29T12:37:03Z | 2023-08-29T13:01:10Z | 2023-08-29T13:01:09Z | MEMBER | null | null | ### 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... | {
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https://github.com/huggingface/datasets/pull/6189 | 6,189 | Don't alter input in Features.from_dict | {
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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... | 2023-08-29T12:29:47Z | 2023-08-29T13:04:59Z | 2023-08-29T12:52:48Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/6188 | 6,188 | [Feature Request] Check the length of batch before writing so that empty batch is allowed | {
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"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."
] | 2023-08-29T06:37:34Z | 2023-09-19T21:55:38Z | 2023-09-19T21:55:37Z | NONE | null | null | ### 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
`... | {
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https://github.com/huggingface/datasets/issues/6187 | 6,187 | Couldn't find a dataset script at /content/tsv/tsv.py or any data file in the same directory | {
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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\... | 2023-08-29T05:49:56Z | 2023-08-29T16:21:45Z | null | NONE | null | null | ### 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_... | null | {
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https://github.com/huggingface/datasets/issues/6186 | 6,186 | Feature request: add code example of multi-GPU processing | {
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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.... | 2023-08-28T10:00:59Z | 2024-10-07T09:39:51Z | 2023-11-22T15:42:20Z | CONTRIBUTOR | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/6185 | 6,185 | Error in saving the PIL image into *.arrow files using datasets.arrow_writer | {
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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```"
] | 2023-08-26T12:15:57Z | 2023-08-29T14:49:58Z | null | NONE | null | null | ### 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... | null | {
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https://github.com/huggingface/datasets/issues/6184 | 6,184 | Map cache does not detect function changes in another module | {
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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... | 2023-08-25T22:59:14Z | 2023-08-29T20:57:07Z | 2023-08-29T20:56:49Z | NONE | null | null | ```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', ... | {
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https://github.com/huggingface/datasets/issues/6183 | 6,183 | Load dataset with non-existent file | {
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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)."
] | 2023-08-25T22:21:22Z | 2023-08-29T13:26:22Z | 2023-08-29T13:26:22Z | NONE | null | null | ### 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
... | {
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https://github.com/huggingface/datasets/issues/6182 | 6,182 | Loading Meteor metric in HF evaluate module crashes due to datasets import issue | {
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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... | 2023-08-25T14:54:06Z | 2023-09-04T16:41:11Z | 2023-08-31T14:38:23Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/pull/6181 | 6,181 | Fix import in `image_load` doc | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Reported on [Discord](https://discord.com/channels/879548962464493619/1144295822209581168/1144295822209581168) | {
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https://github.com/huggingface/datasets/pull/6180 | 6,180 | Use `hf-internal-testing` repos for hosting test dataset repos | {
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https://github.com/huggingface/datasets/issues/6179 | 6,179 | Map cache with tokenizer | {
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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... | 2023-08-25T12:55:18Z | 2023-08-31T15:17:24Z | null | NONE | null | null | 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
```... | null | {
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https://github.com/huggingface/datasets/issues/6178 | 6,178 | 'import datasets' throws "invalid syntax error" | {
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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))"
] | 2023-08-25T08:35:14Z | 2023-09-27T17:33:39Z | 2023-09-27T17:33:39Z | NONE | null | null | ### 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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https://github.com/huggingface/datasets/pull/6177 | 6,177 | Use object detection images from `huggingface/documentation-images` | {
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https://github.com/huggingface/datasets/issues/6176 | 6,176 | how to limit the size of memory mapped file? | {
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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... | 2023-08-24T05:33:45Z | 2023-10-11T06:00:10Z | null | NONE | null | null | ### 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 ... | null | {
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https://github.com/huggingface/datasets/pull/6175 | 6,175 | PyArrow 13 CI fixes | {
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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... | 2023-08-23T15:45:53Z | 2023-08-25T13:15:59Z | 2023-08-25T13:06:52Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes:
* 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 ... | {
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https://github.com/huggingface/datasets/issues/6173 | 6,173 | Fix CI for pyarrow 13.0.0 | {
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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]
```
```
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https://github.com/huggingface/datasets/issues/6172 | 6,172 | Make Dataset streaming queries retryable | {
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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... | 2023-08-23T13:15:38Z | 2023-11-06T13:54:16Z | null | NONE | null | null | ### 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 ... | null | {
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https://github.com/huggingface/datasets/pull/6171 | 6,171 | Fix typo in about_mapstyle_vs_iterable.mdx | {
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https://github.com/huggingface/datasets/pull/6170 | 6,170 | feat: Return the name of the currently loaded file | {
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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."
] | 2023-08-23T07:08:17Z | 2023-08-29T12:41:05Z | null | NONE | false | {
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} | 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... | null | {
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https://github.com/huggingface/datasets/issues/6169 | 6,169 | Configurations in yaml not working | {
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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... | 2023-08-23T00:13:22Z | 2023-08-23T15:35:31Z | null | NONE | null | null | ### 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... | null | {
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https://github.com/huggingface/datasets/pull/6168 | 6,168 | Fix ArrayXD YAML conversion | {
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Fix #6112 | {
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https://github.com/huggingface/datasets/pull/6167 | 6,167 | Allow hyphen in split name | {
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https://github.com/huggingface/datasets/pull/6166 | 6,166 | Document BUILDER_CONFIG_CLASS | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Related to https://github.com/huggingface/datasets/issues/6130 | {
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https://github.com/huggingface/datasets/pull/6165 | 6,165 | Fix multiprocessing with spawn in iterable datasets | {
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"@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... | 2023-08-22T10:07:23Z | 2023-08-29T13:27:14Z | 2023-08-29T13:18:11Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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... | {
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https://github.com/huggingface/datasets/pull/6164 | 6,164 | Fix: Missing a MetadataConfigs init when the repo has a `datasets_info.json` but no README | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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... | {
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https://github.com/huggingface/datasets/issues/6163 | 6,163 | Error type: ArrowInvalid Details: Failed to parse string: '[254,254]' as a scalar of type int32 | {
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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).",
"it seems that no answer in this link"
] | 2023-08-19T11:34:40Z | 2025-07-22T12:04:46Z | null | NONE | null | null | ### 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... | null | {
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https://github.com/huggingface/datasets/issues/6162 | 6,162 | load_dataset('json',...) from togethercomputer/RedPajama-Data-1T errors when jsonl rows contains different data fields | {
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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... | 2023-08-18T07:19:39Z | 2023-08-18T17:00:35Z | null | NONE | null | null | ### 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... | null | {
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https://github.com/huggingface/datasets/pull/6161 | 6,161 | Fix protocol prefix for Beam | {
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https://github.com/huggingface/datasets/pull/6160 | 6,160 | Fix Parquet loading with `columns` | {
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https://github.com/huggingface/datasets/issues/6159 | 6,159 | Add `BoundingBox` feature | {
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"My proposal would look like this:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\nfrom datasets.features import Sequence, BboxFeature\r\n\r\n# load images along with boxes\r\ndataset = load_dataset(\"imagefolder\", data_dir=\"/path/to/folder\", split=\"train\")\r\n\r\n# map the boxes column to the appropr... | 2023-08-17T20:49:51Z | 2024-11-18T17:58:43Z | null | COLLABORATOR | null | null | ... 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... | null | {
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https://github.com/huggingface/datasets/pull/6158 | 6,158 | [docs] Complete `to_iterable_dataset` | {
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https://github.com/huggingface/datasets/issues/6157 | 6,157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | {
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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... | 2023-08-17T15:48:11Z | 2023-09-27T17:36:14Z | 2023-09-27T17:36:14Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/6156 | 6,156 | Why not use self._epoch as seed to shuffle in distributed training with IterableDataset | {
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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... | 2023-08-17T10:58:20Z | 2023-08-17T14:33:15Z | 2023-08-17T14:33:14Z | CONTRIBUTOR | null | null | ### 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 ... | {
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https://github.com/huggingface/datasets/pull/6155 | 6,155 | Raise FileNotFoundError when passing data_files that don't exist | {
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https://github.com/huggingface/datasets/pull/6154 | 6,154 | Use yaml instead of get data patterns when possible | {
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fix https://github.com/huggingface/datasets/issues/6140 | {
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https://github.com/huggingface/datasets/issues/6152 | 6,152 | FolderBase Dataset automatically resolves under current directory when data_dir is not specified | {
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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... | 2023-08-16T04:38:09Z | 2025-06-18T14:18:42Z | 2025-06-18T14:18:42Z | CONTRIBUTOR | null | null | ### 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:... | {
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https://github.com/huggingface/datasets/issues/6151 | 6,151 | Faster sorting for single key items | {
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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... | 2023-08-15T14:02:31Z | 2023-08-21T14:38:26Z | 2023-08-21T14:38:25Z | NONE | null | null | ### 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"... | {
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https://github.com/huggingface/datasets/issues/6150 | 6,150 | Allow dataset implement .take | {
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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... | 2023-08-15T00:17:51Z | 2023-08-17T13:49:37Z | null | NONE | null | null | ### 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... | null | {
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https://github.com/huggingface/datasets/issues/6149 | 6,149 | Dataset.from_parquet cannot load subset of columns | {
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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`)"
] | 2023-08-14T23:28:22Z | 2023-08-17T22:36:05Z | 2023-08-17T22:36:05Z | CONTRIBUTOR | null | null | ### 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... | {
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https://github.com/huggingface/datasets/pull/6148 | 6,148 | Ignore parallel warning in map_nested | {
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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... | 2023-08-14T10:43:41Z | 2023-08-17T08:54:06Z | 2023-08-17T08:43:58Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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... | {
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https://github.com/huggingface/datasets/issues/6147 | 6,147 | ValueError when running BeamBasedBuilder with GCS path in cache_dir | {
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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... | 2023-08-14T03:11:34Z | 2024-03-18T16:59:15Z | 2024-03-18T16:59:14Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/6146 | 6,146 | DatasetGenerationError when load glue benchmark datasets from `load_dataset` | {
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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?",... | 2023-08-13T05:17:56Z | 2023-08-26T22:09:09Z | 2023-08-26T22:09:09Z | NONE | null | null | ### 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 ... | {
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https://github.com/huggingface/datasets/issues/6153 | 6,153 | custom load dataset to hub | {
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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_... | 2023-08-13T04:42:22Z | 2023-11-21T11:50:28Z | 2023-10-08T17:04:16Z | NONE | null | null | ### 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
### ... | {
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https://github.com/huggingface/datasets/pull/6145 | 6,145 | Export to_iterable_dataset to document | {
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https://github.com/huggingface/datasets/issues/6144 | 6,144 | NIH exporter file not found | {
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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 ... | 2023-08-11T19:05:25Z | 2023-08-14T23:28:38Z | null | NONE | null | null | ### 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... | null | {
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https://github.com/huggingface/datasets/issues/6142 | 6,142 | the-stack-dedup fails to generate | {
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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-... | 2023-08-11T05:10:49Z | 2023-08-17T09:26:13Z | 2023-08-17T09:26:13Z | NONE | null | null | ### 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("... | {
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https://github.com/huggingface/datasets/issues/6141 | 6,141 | TypeError: ClientSession._request() got an unexpected keyword argument 'https' | {
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"Hi! I cannot reproduce this error on my machine or in Colab. Which version of `fsspec` do you have installed?"
] | 2023-08-11T02:40:32Z | 2023-08-30T13:51:33Z | 2023-08-30T13:51:33Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/6140 | 6,140 | Misalignment between file format specified in configs metadata YAML and the inferred builder | {
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] | closed | false | [] | 2023-08-10T15:07:34Z | 2023-08-17T20:37:20Z | 2023-08-17T20:37:20Z | MEMBER | null | null | 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... | {
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https://github.com/huggingface/datasets/issues/6139 | 6,139 | Offline dataset viewer | {
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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... | 2023-08-10T11:30:00Z | 2024-09-24T18:36:35Z | 2023-09-29T13:10:22Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/pull/6138 | 6,138 | Ignore CI lint rule violation in Pickler.memoize | {
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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... | 2023-08-10T11:03:15Z | 2023-08-10T11:31:45Z | 2023-08-10T11:22:56Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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. | {
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https://github.com/huggingface/datasets/issues/6137 | 6,137 | (`from_spark()`) Unable to connect HDFS in pyspark YARN setting | {
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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... | null | {
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https://github.com/huggingface/datasets/issues/6136 | 6,136 | CI check_code_quality error: E721 Do not compare types, use `isinstance()` | {
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```
src/datasets/utils/py_utils.py:689:12: E721 Do not compare types, use `isinstance()`
``` | {
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https://github.com/huggingface/datasets/pull/6135 | 6,135 | Remove unused allowed_extensions param | {
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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... | 2023-08-10T10:09:54Z | 2023-08-10T12:08:38Z | 2023-08-10T12:00:02Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR removes unused `allowed_extensions` parameter from `create_builder_configs_from_metadata_configs`. | {
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https://github.com/huggingface/datasets/issues/6134 | 6,134 | `datasets` cannot be installed alongside `apache-beam` | {
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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."
] | 2023-08-10T06:54:32Z | 2023-09-01T03:19:49Z | 2023-08-10T15:22:10Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/6133 | 6,133 | Dataset is slower after calling `to_iterable_dataset` | {
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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 ?"
] | 2023-08-10T06:36:23Z | 2023-08-16T09:18:54Z | null | CONTRIBUTOR | null | null | ### 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... | null | {
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https://github.com/huggingface/datasets/issues/6132 | 6,132 | to_iterable_dataset is missing in document | {
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"Fixed with PR"
] | 2023-08-09T15:15:03Z | 2023-08-16T04:43:36Z | 2023-08-16T04:43:29Z | CONTRIBUTOR | null | null | ### 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 | {
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https://github.com/huggingface/datasets/issues/6130 | 6,130 | default config name doesn't work when config kwargs are specified. | {
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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... | 2023-08-09T12:43:15Z | 2023-11-22T11:50:49Z | 2023-11-22T11:50:48Z | CONTRIBUTOR | null | null | ### 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 ... | {
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https://github.com/huggingface/datasets/pull/6129 | 6,129 | Release 2.14.4 | {
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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... | 2023-08-08T15:43:56Z | 2023-08-08T16:08:22Z | 2023-08-08T15:49:06Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/6128 | 6,128 | IndexError: Invalid key: 88 is out of bounds for size 0 | {
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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... | 2023-08-08T15:32:08Z | 2023-12-26T07:51:57Z | 2023-08-11T13:35:09Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/pull/6127 | 6,127 | Fix authentication issues | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes 3 authentication issues:
- 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... | {
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https://github.com/huggingface/datasets/issues/6126 | 6,126 | Private datasets do not load when passing token | {
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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... | 2023-08-07T15:06:47Z | 2023-08-08T15:16:23Z | 2023-08-08T15:16:23Z | MEMBER | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/6125 | 6,125 | Reinforcement Learning and Robotics are not task categories in HF datasets metadata | {
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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... | {
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https://github.com/huggingface/datasets/issues/6124 | 6,124 | Datasets crashing runs due to KeyError | {
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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)?\... | 2023-08-05T17:48:56Z | 2023-11-30T16:28:57Z | 2023-11-30T16:28:57Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/6123 | 6,123 | Inaccurate Bounding Boxes in "wildreceipt" Dataset | {
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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."
] | 2023-08-05T14:34:13Z | 2023-08-17T14:25:27Z | 2023-08-17T14:25:26Z | NONE | null | null | ### 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... | {
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https://github.com/huggingface/datasets/issues/6122 | 6,122 | Upload README via `push_to_hub` | {
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"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."
] | 2023-08-04T21:00:27Z | 2023-08-21T18:18:54Z | 2023-08-21T18:18:54Z | NONE | null | null | ### 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(
... | {
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https://github.com/huggingface/datasets/pull/6121 | 6,121 | Small typo in the code example of create imagefolder dataset | {
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"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"
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https://github.com/huggingface/datasets/issues/6120 | 6,120 | Lookahead streaming support? | {
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"In which format is your dataset? We could expose the `pre_buffer` flag for Parquet to use PyArrow's background thread pool to speed up loading. "
] | 2023-08-04T04:01:52Z | 2023-08-17T17:48:42Z | null | NONE | null | null | ### Feature request
From what I understand, streaming dataset currently pulls the data, and process the data as it is requested.
This can introduce significant latency delays when data is loaded into the training process, needing to wait for each segment.
While the delays might be dataset specific (or even mappi... | null | {
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https://github.com/huggingface/datasets/pull/6119 | 6,119 | [Docs] Add description of `select_columns` to guide | {
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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... | 2023-08-04T03:13:30Z | 2023-08-16T10:13:02Z | 2023-08-16T10:02:52Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Closes #6116 | {
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https://github.com/huggingface/datasets/issues/6118 | 6,118 | IterableDataset.from_generator() fails with pickle error when provided a generator or iterator | {
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"Hi! `IterableDataset.from_generator` expects a generator function, not the object (to be consistent with `Dataset.from_generator`).\r\n\r\nYou can fix the above snippet as follows:\r\n```python\r\ntrain_dataset = IterableDataset.from_generator(line_generator, fn_kwargs={\"files\": model_training_files})\r\n```",
... | 2023-08-04T01:45:04Z | 2024-12-18T18:30:57Z | null | NONE | null | null | ### Describe the bug
**Description**
Providing a generator in an instantiation of IterableDataset.from_generator() fails with `TypeError: cannot pickle 'generator' object` when the generator argument is supplied with a generator.
**Code example**
```
def line_generator(files: List[Path]):
if isinstance(f... | null | {
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https://github.com/huggingface/datasets/pull/6117 | 6,117 | Set dev version | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6117). 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... | 2023-08-03T14:46:04Z | 2023-08-03T14:56:59Z | 2023-08-03T14:46:18Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/6116 | 6,116 | [Docs] The "Process" how-to guide lacks description of `select_columns` function | {
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"Great idea, feel free to open a PR! :)"
] | 2023-08-03T13:45:10Z | 2023-08-16T10:02:53Z | 2023-08-16T10:02:53Z | CONTRIBUTOR | null | null | ### Feature request
The [how to process dataset guide](https://huggingface.co/docs/datasets/main/en/process) currently does not mention the [`select_columns`](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.select_columns) function. It would be nice to include it in the gui... | {
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https://github.com/huggingface/datasets/pull/6115 | 6,115 | Release: 2.14.3 | {
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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... | 2023-08-03T10:18:32Z | 2023-08-03T15:08:02Z | 2023-08-03T10:24:57Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/6114 | 6,114 | Cache not being used when loading commonvoice 8.0.0 | {
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"You can avoid this by using the `revision` parameter in `load_dataset` to always force downloading a specific commit (if not specified it defaults to HEAD, hence the redownload).",
"Thanks @mariosasko this works well, looks like I should have read the documentation a bit more carefully. \r\n\r\nIt is still a bi... | 2023-08-02T23:18:11Z | 2023-08-18T23:59:00Z | 2023-08-18T23:59:00Z | NONE | null | null | ### Describe the bug
I have commonvoice 8.0.0 downloaded in `~/.cache/huggingface/datasets/mozilla-foundation___common_voice_8_0/en/8.0.0/b2f8b72f8f30b2e98c41ccf855954d9e35a5fa498c43332df198534ff9797a4a`. The folder contains all the arrow files etc, and was used as the cached version last time I touched the ec2 ins... | {
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https://github.com/huggingface/datasets/issues/6113 | 6,113 | load_dataset() fails with streamlit caching inside docker | {
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"Hi! This should be fixed in the latest (patch) release (run `pip install -U datasets` to install it). This behavior was due to a bug in our authentication logic."
] | 2023-08-02T20:20:26Z | 2023-08-21T18:18:27Z | 2023-08-21T18:18:27Z | NONE | null | null | ### Describe the bug
When calling `load_dataset` in a streamlit application running within a docker container, get a failure with the error message:
EmptyDatasetError: The directory at hf://datasets/fetch-rewards/inc-rings-2000@bea27cf60842b3641eae418f38864a2ec4cde684 doesn't contain any data files
Traceback:
Fil... | {
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https://github.com/huggingface/datasets/issues/6112 | 6,112 | yaml error using push_to_hub with generated README.md | {
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"Thanks for reporting! This is a bug in converting the `ArrayXD` types to YAML. It will be fixed soon."
] | 2023-08-02T18:21:21Z | 2023-12-12T15:00:44Z | 2023-12-12T15:00:44Z | NONE | null | null | ### Describe the bug
When I construct a dataset with the following features:
```
features = Features(
{
"pixel_values": Array3D(dtype="float64", shape=(3, 224, 224)),
"input_ids": Sequence(feature=Value(dtype="int64")),
"attention_mask": Sequence(Value(dtype="int64")),
"token... | {
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https://github.com/huggingface/datasets/issues/6111 | 6,111 | raise FileNotFoundError("Directory {dataset_path} is neither a `Dataset` directory nor a `DatasetDict` directory." ) | {
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"any idea?",
"This should work: `load_dataset(\"path/to/downloaded_repo\")`\r\n\r\n`load_from_disk` is intended to be used on directories created with `Dataset.save_to_disk` or `DatasetDict.save_to_disk`",
"> This should work: `load_dataset(\"path/to/downloaded_repo\")`\r\n> \r\n> `load_from_disk` is intended t... | 2023-08-02T09:17:29Z | 2023-08-29T02:00:28Z | 2023-08-29T02:00:28Z | NONE | null | null | ### Describe the bug
For researchers in some countries or regions, it is usually the case that the download ability of `load_dataset` is disabled due to the complex network environment. People in these regions often prefer to use git clone or other programming tricks to manually download the files to the disk (for exa... | {
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https://github.com/huggingface/datasets/issues/6110 | 6,110 | [BUG] Dataset initialized from in-memory data does not create cache. | {
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"This is expected behavior. You must provide `cache_file_name` when performing `.map` on an in-memory dataset for the result to be cached."
] | 2023-08-01T11:58:58Z | 2023-08-17T14:03:01Z | 2023-08-17T14:03:00Z | NONE | null | null | ### Describe the bug
`Dataset` initialized from in-memory data (dictionary in my case, haven't tested with other types) does not create cache when processed with the `map` method, unlike `Dataset` initialized by other methods such as `load_dataset`.
### Steps to reproduce the bug
```python
# below code was ru... | {
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https://github.com/huggingface/datasets/issues/6109 | 6,109 | Problems in downloading Amazon reviews from HF | {
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"Thanks for reporting, @610v4nn1.\r\n\r\nIndeed, the source data files are no longer available. We have contacted the authors of the dataset and they report that Amazon has decided to stop distributing the multilingual reviews dataset.\r\n\r\nWe are adding a notification about this issue to the dataset card.\r\n\r\... | 2023-08-01T08:38:29Z | 2025-07-18T17:47:30Z | 2023-08-02T07:12:07Z | NONE | null | null | ### Describe the bug
I have a script downloading `amazon_reviews_multi`.
When the download starts, I get
```
Downloading data files: 0%| | 0/1 [00:00<?, ?it/s]
Downloading data: 243B [00:00, 1.43MB/s]
Downloading data files: 100%|██████████| 1/1 [00:01<00:00, 1.54s/it]
Extracting data files: 100%... | {
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https://github.com/huggingface/datasets/issues/6108 | 6,108 | Loading local datasets got strangely stuck | {
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"I've had similar weird issues with `load_dataset` as well. Not multiple files, but dataset is quite big, about 50G.",
"We use a generic multiprocessing code, so there is little we can do about this... | 2023-08-01T02:28:06Z | 2024-12-31T16:01:00Z | null | NONE | null | null | ### Describe the bug
I try to use `load_dataset()` to load several local `.jsonl` files as a dataset. Every line of these files is a json structure only containing one key `text` (yeah it is a dataset for NLP model). The code snippet is as:
```python
ds = load_dataset("json", data_files=LIST_OF_FILE_PATHS, num_proc=... | null | {
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https://github.com/huggingface/datasets/pull/6107 | 6,107 | Fix deprecation of use_auth_token in file_utils | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix issues with the deprecation of `use_auth_token` introduced by:
- #5996
in functions:
- `get_authentication_headers_for_url`
- `request_etag`
- `get_from_cache`
Currently, `TypeError` is raised: https://github.com/huggingface/datasets-server/actions/runs/5711650666/job/15484685570?pr=1588
```
FAILED tes... | {
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https://github.com/huggingface/datasets/issues/6106 | 6,106 | load local json_file as dataset | {
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"Hi! We use PyArrow to read JSON files, and PyArrow doesn't allow different value types in the same column. #5776 should address this.\r\n\r\nIn the meantime, you can combine `Dataset.from_generator` with the above code to cast the values to the same type. ",
"Thanks for your help!"
] | 2023-07-31T12:53:49Z | 2023-08-18T01:46:35Z | 2023-08-18T01:46:35Z | NONE | null | null | ### Describe the bug
I tried to load local json file as dataset but failed to parsing json file because some columns are 'float' type.
### Steps to reproduce the bug
1. load json file with certain columns are 'float' type. For example `data = load_data("json", data_files=JSON_PATH)`
2. Then, the error will be trigg... | {
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https://github.com/huggingface/datasets/pull/6105 | 6,105 | Fix error when loading from GCP bucket | {
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Fix #6100.
The bug code lines were introduced by:
- #6028 | {
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https://github.com/huggingface/datasets/issues/6104 | 6,104 | HF Datasets data access is extremely slow even when in memory | {
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] | 2023-07-31T11:12:19Z | 2023-08-01T11:22:43Z | null | CONTRIBUTOR | null | null | ### Describe the bug
Doing a simple `some_dataset[:10]` can take more than a minute.
Profiling it:
<img width="1280" alt="image" src="https://github.com/huggingface/datasets/assets/36224762/e641fb95-ff02-4072-9016-5416a65f75ab">
`some_dataset` is completely in memory with no disk cache.
This is proving fat... | null | {
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https://github.com/huggingface/datasets/pull/6103 | 6,103 | Set dev version | {
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https://github.com/huggingface/datasets/pull/6102 | 6,102 | Release 2.14.2 | {
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https://github.com/huggingface/datasets/pull/6101 | 6,101 | Release 2.14.2 | {
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https://github.com/huggingface/datasets/issues/6100 | 6,100 | TypeError when loading from GCP bucket | {
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"Thanks for reporting, @bilelomrani1.\r\n\r\nWe are fixing it. ",
"We have fixed it. We are planning to do a patch release today."
] | 2023-07-30T23:03:00Z | 2023-08-03T10:00:48Z | 2023-08-01T10:38:55Z | NONE | null | null | ### Describe the bug
Loading a dataset from a GCP bucket raises a type error. This bug was introduced recently (either in 2.14 or 2.14.1), and appeared during a migration from 2.13.1.
### Steps to reproduce the bug
Load any file from a GCP bucket:
```python
import datasets
datasets.load_dataset("json", data_f... | {
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https://github.com/huggingface/datasets/issues/6099 | 6,099 | How do i get "amazon_us_reviews | {
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"Seems like the problem isn't with the library, but the dataset itself hosted on AWS S3.\r\n\r\nIts [homepage](https://s3.amazonaws.com/amazon-reviews-pds/readme.html) returns an `AccessDenied` XML response, which is the same thing you get if you try to log the `record` that triggers the exception\r\n\r\n```python\... | 2023-07-30T11:02:17Z | 2023-08-21T05:08:08Z | 2023-08-10T05:02:35Z | NONE | null | null | ### Feature request
I have been trying to load 'amazon_us_dataset" but unable to do so.
`amazon_us_reviews = load_dataset('amazon_us_reviews')`
`print(amazon_us_reviews)`
> [ValueError: Config name is missing.
Please pick one among the available configs: ['Wireless_v1_00', 'Watches_v1_00', 'Video_Games_v1... | {
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https://github.com/huggingface/datasets/pull/6098 | 6,098 | Expanduser in save_to_disk() | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> I am not sure why the case distinction between local and remote filesystems is even necessary for DatasetDict when saving to disk. Imo this could be removed (leaving only fs.makedirs(dataset_dict_path, exist_ok=True)).\r\n\r\nIndee... | 2023-07-29T20:50:45Z | 2023-10-27T14:14:11Z | 2023-10-27T14:04:36Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #5651. The same problem occurs when loading from disk so I fixed it there too.
I am not sure why the case distinction between local and remote filesystems is even necessary for `DatasetDict` when saving to disk. Imo this could be removed (leaving only `fs.makedirs(dataset_dict_path, exist_ok=True)`). | {
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https://github.com/huggingface/datasets/issues/6097 | 6,097 | Dataset.get_nearest_examples does not return all feature values for the k most similar datapoints - side effect of Dataset.set_format | {
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"Actually, my bad -- specifying\r\n```python\r\nfoo.set_format('numpy', ['vectors'], output_all_columns=True)\r\n```\r\nfixes it."
] | 2023-07-28T20:31:59Z | 2023-07-28T20:49:58Z | 2023-07-28T20:49:58Z | NONE | null | null | ### Describe the bug
Hi team!
I observe that there seems to be a side effect of `Dataset.set_format`: after setting a format and creating a FAISS index, the method `get_nearest_examples` from the `Dataset` class, fails to retrieve anything else but the embeddings themselves - not super useful. This is not the case ... | {
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https://github.com/huggingface/datasets/pull/6096 | 6,096 | Add `fsspec` support for `to_json`, `to_csv`, and `to_parquet` | {
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"Hi here @lhoestq @mariosasko I just realised this PR is still open, should we close it in case this is something not to include within `datasets`, ... | 2023-07-28T16:36:59Z | 2024-05-28T07:40:30Z | 2024-03-06T11:12:42Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Hi to whoever is reading this! 🤗 (Most likely @mariosasko)
## What's in this PR?
This PR replaces the `open` from Python with `fsspec.open` and adds the argument `storage_options` for the methods `to_json`, `to_csv`, and `to_parquet`, to allow users to export any 🤗`Dataset` into a file in a file-system as reque... | {
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https://github.com/huggingface/datasets/pull/6095 | 6,095 | Fix deprecation of errors in TextConfig | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes an issue with the deprecation of `errors` in `TextConfig` introduced by:
- #5974
```python
In [1]: ds = load_dataset("text", data_files="test.txt", errors="strict")
---------------------------------------------------------------------------
TypeError Traceback (most ... | {
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https://github.com/huggingface/datasets/pull/6094 | 6,094 | Fix deprecation of use_auth_token in DownloadConfig | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes an issue with the deprecation of `use_auth_token` in `DownloadConfig` introduced by:
- #5996
```python
In [1]: from datasets import DownloadConfig
In [2]: DownloadConfig(use_auth_token=False)
---------------------------------------------------------------------------
TypeError ... | {
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https://github.com/huggingface/datasets/pull/6093 | 6,093 | Deprecate `download_custom` | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Deprecate `DownloadManager.download_custom`. Users should use `fsspec` URLs (cacheable) or make direct requests with `fsspec`/`requests` (not cacheable) instead.
We should deprecate this method as it's not compatible with streaming, and implementing the streaming version of it is hard/impossible. There have been req... | {
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https://github.com/huggingface/datasets/pull/6092 | 6,092 | Minor fix in `iter_files` for hidden files | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix #6090 | {
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https://github.com/huggingface/datasets/pull/6091 | 6,091 | Bump fsspec from 2021.11.1 to 2022.3.0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix https://github.com/huggingface/datasets/issues/6087
(Colab installs 2023.6.0, so we should be good) | {
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https://github.com/huggingface/datasets/issues/6090 | 6,090 | FilesIterable skips all the files after a hidden file | {
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"Thanks for reporting. We've merged a PR with a fix."
] | 2023-07-28T07:25:57Z | 2023-07-28T10:51:14Z | 2023-07-28T10:50:11Z | NONE | null | null | ### Describe the bug
When initializing `FilesIterable` with a list of file paths using `FilesIterable.from_paths`, it will discard all the files after a hidden file.
The problem is in [this line](https://github.com/huggingface/datasets/blob/88896a7b28610ace95e444b94f9a4bc332cc1ee3/src/datasets/download/download_manag... | {
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https://github.com/huggingface/datasets/issues/6089 | 6,089 | AssertionError: daemonic processes are not allowed to have children | {
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"We could add a \"threads\" parallel backend to `datasets.parallel.parallel_backend` to support downloading with threads but note that `download_and_extract` also decompresses archives, and this is a CPU-intensive task, which is not ideal for (Python) threads (good for IO-intensive tasks).",
"> We could add a \"t... | 2023-07-28T06:04:00Z | 2023-07-31T02:34:02Z | null | NONE | null | null | ### Describe the bug
When I load_dataset with num_proc > 0 in a deamon process, I got an error:
```python
File "/Users/codingl2k1/Work/datasets/src/datasets/download/download_manager.py", line 564, in download_and_extract
return self.extract(self.download(url_or_urls))
^^^^^^^^^^^^^^^^^
File "/Users... | null | {
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