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https://github.com/huggingface/datasets/issues/5775 | 5,775 | ArrowDataset.save_to_disk lost some logic of remote | {
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"We just fixed this on `main` and will do a new release soon :)"
] | 2023-04-20T16:58:01Z | 2023-04-26T12:11:36Z | 2023-04-26T12:11:17Z | NONE | null | null | ### Describe the bug
https://github.com/huggingface/datasets/blob/e7ce0ac60c7efc10886471932854903a7c19f172/src/datasets/arrow_dataset.py#L1371
Here is the bug point, when I want to save from a `DatasetDict` class and the items of the instance is like `[('train', Dataset({features: ..., num_rows: ...}))]` , there ... | {
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https://github.com/huggingface/datasets/pull/5774 | 5,774 | Fix style | {
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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... | 2023-04-20T13:21:32Z | 2023-04-20T13:34:26Z | 2023-04-20T13:24:28Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/5773 | 5,773 | train_dataset does not implement __len__ | {
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"Thanks for reporting, @v-yunbin.\r\n\r\nCould you please give more details, the steps to reproduce the bug, the complete error back trace and the environment information (`datasets-cli env`)?",
"this is a detail error info from transformers：\r\n```\r\nTraceback (most recent call last):\r\n File \"finetune.py\",... | 2023-04-20T04:37:05Z | 2023-07-19T20:33:13Z | null | NONE | null | null | when train using data precessored by the datasets, I get follow warning and it leads to that I can not set epoch numbers:
`ValueError: The train_dataset does not implement __len__, max_steps has to be specified. The number of steps needs to be known in advance for the learning rate scheduler.` | null | {
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https://github.com/huggingface/datasets/pull/5772 | 5,772 | Fix JSON builder when missing keys in first row | {
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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... | 2023-04-19T14:32:57Z | 2023-04-21T06:45:13Z | 2023-04-21T06:35:27Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Until now, the JSON builder only considered the keys present in the first element of the list:
- Either explicitly: by passing index 0 in `dataset[0].keys()`
- Or implicitly: `pa.Table.from_pylist(dataset)`, where "schema (default None): If not passed, will be inferred from the first row of the mapping values"
Thi... | {
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https://github.com/huggingface/datasets/issues/5771 | 5,771 | Support cloud storage for loading datasets | {
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"A duplicate of https://github.com/huggingface/datasets/issues/5281"
] | 2023-04-19T12:43:53Z | 2023-05-07T17:47:41Z | 2023-05-07T17:47:41Z | CONTRIBUTOR | null | null | ### Feature request
It seems that the the current implementation supports cloud storage only for `load_from_disk`. It would be nice if a similar functionality existed in `load_dataset`.
### Motivation
Motivation is pretty clear -- let users work with datasets located in the cloud.
### Your contribution
... | {
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https://github.com/huggingface/datasets/pull/5770 | 5,770 | Add IterableDataset.from_spark | {
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"Cool ! I think you can define `IterableDataset.from_spark` instead of adding `streaming=` in `Dataset.from_spark`, it ... | 2023-04-18T17:47:53Z | 2023-05-17T14:07:32Z | 2023-05-17T14:00:38Z | CONTRIBUTOR | false | {
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Related issue: https://github.com/huggingface/datasets/issues/5678 | {
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https://github.com/huggingface/datasets/issues/5769 | 5,769 | Tiktoken tokenizers are not pickable | {
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"Thanks for reporting, @markovalexander.\r\n\r\nUnfortunately, I'm not able to reproduce the issue: the `tiktoken` tokenizer can be used within `Dataset.map`, both in my local machine and in a Colab notebook: https://colab.research.google.com/drive/1DhJroZgk0sNFJ2Mrz-jYgrmh9jblXaCG?usp=sharing\r\n\r\nAre you sure y... | 2023-04-18T16:07:40Z | 2023-05-04T18:55:57Z | 2023-05-04T18:55:57Z | NONE | null | null | ### Describe the bug
Since tiktoken tokenizer is not pickable, it is not possible to use it inside `dataset.map()` with multiprocessing enabled. However, you [made](https://github.com/huggingface/datasets/issues/5536) tiktoken's tokenizers pickable in `datasets==2.10.0` for caching. For some reason, this logic does no... | {
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https://github.com/huggingface/datasets/issues/5768 | 5,768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | {
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"Thanks for reporting, @yaseen157.\r\n\r\nCould you please give the complete error stack trace?",
"I am not able to reproduce your issue: the dataset loads perfectly on my local machine and on a Colab notebook: https://colab.research.google.com/drive/1Fbdoa1JdNz8DOdX6gmIsOK1nCT8Abj4O?usp=sharing\r\n```python\r\nI... | 2023-04-18T07:10:56Z | 2023-04-20T10:27:23Z | 2023-04-20T10:27:22Z | NONE | null | null | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | {
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https://github.com/huggingface/datasets/issues/5767 | 5,767 | How to use Distill-BERT with different datasets? | {
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"Closing this one in favor of the same issue opened in the `transformers` repo."
] | 2023-04-18T06:25:12Z | 2023-04-20T16:52:05Z | 2023-04-20T16:52:05Z | NONE | null | null | ### Describe the bug
- `transformers` version: 4.11.3
- Platform: Linux-5.4.0-58-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxL... | {
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https://github.com/huggingface/datasets/issues/5766 | 5,766 | Support custom feature types | {
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"Hi ! Interesting :) What kind of new types would you like to use ?\r\n\r\nNote that you can already implement your own decoding by using `set_transform` that can decode data on-the-fly when rows are accessed",
"An interesting proposal indeed. \r\n\r\nPandas and Polars have the \"extension API\", so doing somethi... | 2023-04-17T15:46:41Z | 2024-03-10T11:11:22Z | null | NONE | null | null | ### Feature request
I think it would be nice to allow registering custom feature types with the 🤗 Datasets library. For example, allow to do something along the following lines:
```
from datasets.features import register_feature_type # this would be a new function
@register_feature_type
class CustomFeature... | null | {
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https://github.com/huggingface/datasets/issues/5765 | 5,765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | {
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"You need to remove the `text` and `text_en` columns before passing the dataset to the `DataLoader` to avoid this error:\r\n```python\r\ntokenized_datasets = tokenized_datasets.remove_columns([\"text\", \"text_en\"])\r\n```\r\n",
"Thanks @mariosasko. Now I am getting this error:\r\n\r\n```\r\nTraceback (most rece... | 2023-04-17T15:00:50Z | 2023-04-25T13:50:45Z | null | NONE | null | null | ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | null | {
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https://github.com/huggingface/datasets/issues/5764 | 5,764 | ConnectionError: Couldn't reach https://www.dropbox.com/s/zts98j4vkqtsns6/aclImdb_v2.tar?dl=1 | {
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"Thanks for reporting, @sauravtii.\r\n\r\nUnfortunately, I'm not able to reproduce the issue:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset(\"josianem/imdb\")\r\n\r\nIn [2]: ds\r\nOut[2]: \r\nDatasetDict({\r\n train: Dataset({\r\n features: ['text', 'label'],\r... | 2023-04-17T09:08:18Z | 2023-04-18T07:18:20Z | 2023-04-18T07:18:20Z | NONE | null | null | ### Describe the bug
I want to use this (https://huggingface.co/datasets/josianem/imdb) dataset therefore I am trying to load it using the following code:
```
dataset = load_dataset("josianem/imdb")
```
The dataset is not getting loaded and gives the error message as the following:
```
Traceback (most rece... | {
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https://github.com/huggingface/datasets/pull/5763 | 5,763 | fix typo: "mow" -> "now" | {
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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... | 2023-04-17T06:03:44Z | 2023-04-17T15:01:53Z | 2023-04-17T14:54:46Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | I noticed a typo as I was reading the datasets documentation. This PR contains a trivial fix changing "mow" to "now." | {
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https://github.com/huggingface/datasets/issues/5762 | 5,762 | Not able to load the pile | {
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"Thanks for reporting, @surya-narayanan.\r\n\r\nI see you already started a discussion about this on the Community tab of the corresponding dataset: https://huggingface.co/datasets/EleutherAI/the_pile/discussions/10\r\nLet's continue the discussion there!"
] | 2023-04-17T03:09:10Z | 2023-04-17T09:37:27Z | 2023-04-17T09:37:27Z | NONE | null | null | ### Describe the bug
Got this error when I am trying to load the pile dataset
```
TypeError: Couldn't cast array of type
struct<file: string, id: string>
to
{'id': Value(dtype='string', id=None)}
```
### Steps to reproduce the bug
Please visit the following sample notebook
https://colab.research.goo... | {
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https://github.com/huggingface/datasets/issues/5761 | 5,761 | One or several metadata.jsonl were found, but not in the same directory or in a parent directory | {
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"Also, when generated from a zip archive, the dataset contains only a few images. In my case, 20 versus 2000+ contained in the archive. The generation from folders works as expected.",
"Thanks for reporting, @blghtr.\r\n\r\nYou should include the `metadata.jsonl` in your ZIP archives, at the root level directory.... | 2023-04-16T16:21:55Z | 2023-04-19T11:53:24Z | null | NONE | null | null | ### Describe the bug
An attempt to generate a dataset from a zip archive using imagefolder and metadata.jsonl does not lead to the expected result. Tried all possible locations of the json file: the file in the archive is ignored (generated dataset contains only images), the file next to the archive like [here](http... | null | {
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https://github.com/huggingface/datasets/issues/5760 | 5,760 | Multi-image loading in Imagefolder dataset | {
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"Supporting this could be useful (I remember a use-case for this on the Hub). Do you agree @polinaeterna? \r\n\r\nImplementing this should be possible if we iterate over metadata files and build image/audio file paths instead of iterating over image/audio files and looking for the corresponding entries in metadata ... | 2023-04-16T16:01:05Z | 2024-12-01T11:16:09Z | null | NONE | null | null | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | null | {
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https://github.com/huggingface/datasets/issues/5759 | 5,759 | Can I load in list of list of dict format? | {
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"Thanks for reporting, @LZY-the-boys.\r\n\r\nCould you please give more details about what is your intended dataset structure? What are the names of the columns and the value of each row?\r\n\r\nCurrently, the JSON-Lines format is supported:\r\n- Each line correspond to one row of the dataset\r\n- Each line is comp... | 2023-04-16T13:50:14Z | 2023-04-19T12:04:36Z | null | NONE | null | null | ### Feature request
my jsonl dataset has following format:
```
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
```
I try to use `datasets.load_dataset('json', data_files=path)` or `datasets.Dataset.from_json`, it raises
```
File "site-p... | null | {
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https://github.com/huggingface/datasets/pull/5758 | 5,758 | Fixes #5757 | {
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"The CI can be fixed by merging `main` into your branch. Can you do that before we merge ?",
"_The documentation is not available anymore as the PR was closed or merged._",
"Done.\n\nOn Thu, Apr 20, 2023 at 6:01 PM Quentin Lhoest ***@***.***>\nwrote:\n\n> The CI can be fixed by merging main into your branch. Ca... | 2023-04-16T11:56:01Z | 2023-04-20T15:37:49Z | 2023-04-20T15:30:48Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/5757 | 5,757 | Tilde (~) is not supported | {
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It seems that `~` is not recognized correctly in local paths. Whenever I try to use it I get an exception
### Steps to reproduce the bug
```python
load_dataset("imagefolder", data_dir="~/data/my_dataset")
```
Will generate the following error:
```
EmptyDatasetError: The directory at ... | {
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https://github.com/huggingface/datasets/issues/5756 | 5,756 | Calling shuffle on a IterableDataset with streaming=True, gives "ValueError: cannot reshape array" | {
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"Hi! I've merged a PR on the Hub with a fix: https://huggingface.co/datasets/fashion_mnist/discussions/3",
"Thanks, this appears to have fixed the issue.\r\n\r\nI've created a PR for the same change in the mnist dataset: https://huggingface.co/datasets/mnist/discussions/3/files"
] | 2023-04-16T04:59:47Z | 2023-04-18T03:40:56Z | 2023-04-18T03:40:56Z | NONE | null | null | ### Describe the bug
When calling shuffle on a IterableDataset with streaming=True, I get the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/administrator/Documents/Projects/huggingface/jax-diffusers-sprint-consistency-models/virtualenv/lib/python3.1... | {
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https://github.com/huggingface/datasets/issues/5755 | 5,755 | ImportError: cannot import name 'DeprecatedEnum' from 'datasets.utils.deprecation_utils' | {
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"update the version. fix"
] | 2023-04-14T23:28:54Z | 2023-04-14T23:36:19Z | 2023-04-14T23:36:19Z | NONE | null | null | ### Describe the bug
The module moved to new place?
### Steps to reproduce the bug
in the import step,
```python
from datasets.utils.deprecation_utils import DeprecatedEnum
```
error:
```
ImportError: cannot import name 'DeprecatedEnum' from 'datasets.utils.deprecation_utils'
```
### Expected behavior... | {
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https://github.com/huggingface/datasets/pull/5754 | 5,754 | Minor tqdm fixes | {
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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... | 2023-04-14T18:15:14Z | 2023-04-20T15:27:58Z | 2023-04-20T15:21:00Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | `GeneratorBasedBuilder`'s TQDM bars were not used as context managers. This PR fixes that (missed these bars in https://github.com/huggingface/datasets/pull/5560).
Also, this PR modifies the single-proc `save_to_disk` to fix the issue with the TQDM bar not accumulating the progress in the multi-shard setting (again... | {
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https://github.com/huggingface/datasets/issues/5753 | 5,753 | [IterableDatasets] Add column followed by interleave datasets gives bogus outputs | {
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"Problem with the code snippet! Using global vars and functions was not a good idea with iterable datasets!\r\n\r\nIf we update to:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\noriginal_dataset = load_dataset(\"librispeech_asr\", \"clean\", split=\"validation\", streaming=True)\r\n\r\n# now add a new co... | 2023-04-14T17:32:31Z | 2025-07-04T05:22:53Z | 2023-04-14T17:36:37Z | CONTRIBUTOR | null | null | ### Describe the bug
If we add a new column to our iterable dataset using the hack described in #5752, when we then interleave datasets the new column is pinned to one value.
### Steps to reproduce the bug
What we're going to do here is:
1. Load an iterable dataset in streaming mode (`original_dataset`)
2. A... | {
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https://github.com/huggingface/datasets/issues/5752 | 5,752 | Streaming dataset looses `.feature` method after `.add_column` | {
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"I believe the issue resides in this line:\r\nhttps://github.com/huggingface/datasets/blob/7c3a9b057c476c40d157bd7a5d57f49066239df0/src/datasets/iterable_dataset.py#L1415\r\n\r\nIf we pass the **new** features of the dataset to the `.map` method we can return the features after adding a column, e.g.:\r\n```python\r... | 2023-04-14T16:39:50Z | 2024-01-18T10:15:20Z | null | CONTRIBUTOR | null | null | ### Describe the bug
After appending a new column to a streaming dataset using `.add_column`, we can no longer access the list of dataset features using the `.feature` method.
### Steps to reproduce the bug
```python
from datasets import load_dataset
original_dataset = load_dataset("librispeech_asr", "clean", sp... | null | {
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https://github.com/huggingface/datasets/pull/5751 | 5,751 | Consistent ArrayXD Python formatting + better NumPy/Pandas formatting | {
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https://github.com/huggingface/datasets/issues/5750 | 5,750 | Fail to create datasets from a generator when using Google Big Query | {
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"`from_generator` expects a generator function, not a generator object, so this should work:\r\n```python\r\nfrom datasets import Dataset\r\nfrom google.cloud import bigquery\r\n\r\nclient = bigquery.Client()\r\n\r\ndef gen()\r\n # Perform a query.\r\n QUERY = (\r\n 'SELECT name FROM `bigquery-public-d... | 2023-04-14T13:50:59Z | 2023-04-17T12:20:43Z | 2023-04-17T12:20:43Z | NONE | null | null | ### Describe the bug
Creating a dataset from a generator using `Dataset.from_generator()` fails if the generator is the [Google Big Query Python client](https://cloud.google.com/python/docs/reference/bigquery/latest). The problem is that the Big Query client is not pickable. And the function `create_config_id` tries t... | {
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https://github.com/huggingface/datasets/issues/5749 | 5,749 | AttributeError: 'Version' object has no attribute 'match' | {
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"I got the same error, and the official website for visual genome is down. Did you solve this problem? ",
"I am in the same situation now :( ",
"Thanks for reporting, @gulnaz-zh.\r\n\r\nI am investigating it.",
"The host server is down: https://visualgenome.org/\r\n\r\nWe are contacting the dataset authors.",... | 2023-04-14T10:48:06Z | 2023-06-30T11:31:17Z | 2023-04-18T12:57:08Z | NONE | null | null | ### Describe the bug
When I run
from datasets import load_dataset
data = load_dataset("visual_genome", 'region_descriptions_v1.2.0')
AttributeError: 'Version' object has no attribute 'match'
### Steps to reproduce the bug
from datasets import load_dataset
data = load_dataset("visual_genome", 'region_descripti... | {
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https://github.com/huggingface/datasets/pull/5748 | 5,748 | [BUG FIX] Issue 5739 | {
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https://github.com/huggingface/datasets/pull/5747 | 5,747 | [WIP] Add Dataset.to_spark | {
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https://github.com/huggingface/datasets/pull/5746 | 5,746 | Fix link in docs | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes a broken link in the use_with_pytorch docs | {
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https://github.com/huggingface/datasets/pull/5745 | 5,745 | [BUG FIX] Issue 5744 | {
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"Have met the same problem with datasets==2.8.0, pandas==2.0.0. It could be solved by installing the latest version of datasets or using datasets==2.8.0, pandas==1.5.3.",
"Pandas 2.0.0 has removed support to passing `mangle_dupe_cols`.\r\n\r\nHowever, our `datasets` library does not use this parameter: it only pa... | 2023-04-13T20:29:55Z | 2023-04-21T15:22:43Z | null | NONE | false | {
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https://github.com/huggingface/datasets/issues/5744 | 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",
"I am still getting this bug with the latest pandas and ... | 2023-04-13T20:21:28Z | 2024-04-09T16:13:59Z | 2023-07-06T17:01:59Z | NONE | null | 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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https://github.com/huggingface/datasets/issues/5743 | 5,743 | dataclass.py in virtual environment is overriding the stdlib module "dataclasses" | {
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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."
] | 2023-04-13T17:28:33Z | 2023-04-17T12:23:18Z | 2023-04-17T12:23:18Z | NONE | null | 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://github.com/huggingface/datasets/pull/5742 | 5,742 | Warning specifying future change in to_tf_dataset behaviour | {
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https://github.com/huggingface/datasets/pull/5741 | 5,741 | Fix CI warnings | {
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https://github.com/huggingface/datasets/pull/5740 | 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... | 2023-04-12T08:52:35Z | 2023-04-13T11:01:24Z | 2023-04-13T10:54:13Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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://github.com/huggingface/datasets/issues/5739 | 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 ... | 2023-04-12T04:51:35Z | 2023-04-21T14:20:59Z | null | NONE | null | 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
... | null | {
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https://github.com/huggingface/datasets/issues/5738 | 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."
] | 2023-04-12T01:07:46Z | 2023-04-19T12:08:27Z | 2023-04-19T12:08:27Z | NONE | null | 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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https://github.com/huggingface/datasets/issues/5737 | 5,737 | ClassLabel Error | {
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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... | 2023-04-11T17:14:13Z | 2023-04-13T16:49:57Z | 2023-04-13T16:49:57Z | NONE | null | 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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https://github.com/huggingface/datasets/issues/5736 | 5,736 | FORCE_REDOWNLOAD raises "Directory not empty" exception on second run | {
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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 ?",
"I have the same... | 2023-04-11T11:29:15Z | 2023-11-30T07:16:58Z | null | NONE | null | 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... | null | {
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https://github.com/huggingface/datasets/pull/5735 | 5,735 | Implement sharding on merged iterable datasets | {
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"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... | 2023-04-11T10:02:25Z | 2023-04-27T16:39:04Z | 2023-04-27T16:32:09Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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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https://github.com/huggingface/datasets/issues/5734 | 5,734 | Remove temporary pin of fsspec | {
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- #5731 | {
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https://github.com/huggingface/datasets/pull/5733 | 5,733 | Unpin fsspec | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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://github.com/huggingface/datasets/issues/5732 | 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. "
] | 2023-04-11T08:38:53Z | 2023-04-11T09:28:17Z | 2023-04-11T09:28:16Z | NONE | null | 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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https://github.com/huggingface/datasets/pull/5731 | 5,731 | Temporarily pin fsspec | {
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https://github.com/huggingface/datasets/issues/5730 | 5,730 | CI is broken: ValueError: Name (mock) already in the registry and clobber is False | {
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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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https://github.com/huggingface/datasets/pull/5729 | 5,729 | Fix nondeterministic sharded data split order | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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://github.com/huggingface/datasets/issues/5728 | 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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https://github.com/huggingface/datasets/issues/5727 | 5,727 | load_dataset fails with FileNotFound error on Windows | {
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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, ... | 2023-04-10T23:21:12Z | 2023-07-21T14:08:20Z | 2023-07-21T14:08:19Z | NONE | null | 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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https://github.com/huggingface/datasets/issues/5726 | 5,726 | Fallback JSON Dataset loading does not load all values when features specified manually | {
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"Thanks for reporting, @myluki2000.\r\n\r\nI am working on a fix."
] | 2023-04-10T15:22:14Z | 2023-04-21T06:35:28Z | 2023-04-21T06:35:28Z | NONE | null | 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://github.com/huggingface/datasets/issues/5725 | 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... | 2023-04-10T08:41:43Z | 2023-04-21T06:16:24Z | 2023-04-21T06:16:24Z | NONE | null | 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://github.com/huggingface/datasets/issues/5724 | 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```\... | 2023-04-09T16:58:44Z | 2023-04-20T20:37:30Z | 2023-04-20T20:37:30Z | NONE | null | 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))`:
```
File "/d... | {
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https://github.com/huggingface/datasets/issues/5722 | 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... | 2023-04-09T11:04:59Z | 2023-07-24T14:50:46Z | 2023-07-24T14:50:46Z | NONE | null | 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://github.com/huggingface/datasets/issues/5721 | 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... | null | {
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https://github.com/huggingface/datasets/issues/5720 | 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... | 2023-04-08T18:45:48Z | 2025-03-19T14:06:47Z | null | NONE | null | 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.... | null | {
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https://github.com/huggingface/datasets/issues/5719 | 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... | 2023-04-07T21:04:08Z | 2023-04-20T15:34:41Z | 2023-04-20T15:34:41Z | NONE | null | 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://github.com/huggingface/datasets/pull/5718 | 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... | 2023-04-07T16:01:26Z | 2023-04-27T14:43:13Z | 2023-04-27T14:35:52Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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://github.com/huggingface/datasets/issues/5717 | 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... | 2023-04-07T11:59:17Z | 2025-07-13T08:27:47Z | null | CONTRIBUTOR | null | 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_... | null | {
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https://github.com/huggingface/datasets/issues/5716 | 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(... | 2023-04-07T09:51:40Z | 2023-09-27T17:47:08Z | 2023-09-27T17:47:08Z | NONE | null | 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://github.com/huggingface/datasets/issues/5715 | 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 "
] | 2023-04-06T13:57:48Z | 2023-04-20T17:16:26Z | 2023-04-20T17:16:26Z | NONE | null | 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://github.com/huggingface/datasets/pull/5714 | 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... | 2023-04-06T13:01:45Z | 2023-04-07T09:23:54Z | 2023-04-07T09:16:57Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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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https://github.com/huggingface/datasets/issues/5713 | 5,713 | ArrowNotImplementedError when loading dataset from the hub | {
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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`. ... | 2023-04-06T10:27:22Z | 2023-04-06T13:06:22Z | 2023-04-06T13:06:21Z | CONTRIBUTOR | null | 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://github.com/huggingface/datasets/issues/5712 | 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"
] | 2023-04-05T16:47:10Z | 2023-04-06T08:32:37Z | 2023-04-05T17:17:44Z | NONE | null | 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://github.com/huggingface/datasets/issues/5711 | 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... | 2023-04-05T16:46:49Z | 2023-04-07T09:16:59Z | 2023-04-07T09:16:59Z | NONE | null | 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://github.com/huggingface/datasets/issues/5710 | 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... | 2023-04-05T14:11:26Z | 2023-04-20T17:16:40Z | 2023-04-20T17:16:40Z | NONE | null | 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://github.com/huggingface/datasets/issues/5709 | 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... | 2023-04-05T11:15:17Z | 2023-04-06T08:52:20Z | 2023-04-06T08:52:19Z | CONTRIBUTOR | null | 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://github.com/huggingface/datasets/issues/5708 | 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... | 2023-04-05T06:36:03Z | 2023-12-21T10:20:28Z | 2023-12-21T10:20:27Z | MEMBER | null | 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://github.com/huggingface/datasets/issues/5706 | 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:... | 2023-04-04T09:45:35Z | 2024-06-07T12:20:43Z | 2024-06-07T12:20:43Z | NONE | null | 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://github.com/huggingface/datasets/issues/5705 | 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... | 2023-04-04T09:16:17Z | 2023-04-05T23:35:41Z | 2023-04-05T23:35:41Z | NONE | null | 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://github.com/huggingface/datasets/pull/5704 | 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... | 2023-04-04T08:58:14Z | 2023-04-07T16:10:55Z | null | NONE | false | {
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} | 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... | null | {
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https://github.com/huggingface/datasets/pull/5703 | 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... | 2023-04-04T04:37:49Z | 2023-04-20T03:17:37Z | 2023-04-20T03:17:32Z | NONE | true | {
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https://github.com/huggingface/datasets/issues/5702 | 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(\"... | 2023-04-04T03:20:43Z | 2023-04-05T14:15:18Z | 2023-04-05T14:15:17Z | NONE | null | 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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https://github.com/huggingface/datasets/pull/5701 | 5,701 | Add Dataset.from_spark | {
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"@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... | 2023-04-03T23:51:29Z | 2023-06-16T16:39:32Z | 2023-04-26T15:43:39Z | CONTRIBUTOR | false | {
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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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https://github.com/huggingface/datasets/pull/5700 | 5,700 | fix: fix wrong modification of the 'cache_file_name' -related paramet… | {
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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... | 2023-04-03T18:05:26Z | 2023-04-06T17:17:27Z | null | NONE | false | {
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} | …ers values in 'train_test_split' + fix bad interaction between 'keep_in_memory' and 'cache_file_name' -related parameters (#5699) | null | {
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https://github.com/huggingface/datasets/issues/5699 | 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 :)",
"Facing the same issue. Kindly fix this bug."
] | 2023-04-03T17:00:07Z | 2024-05-15T13:12:18Z | null | NONE | null | 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... | null | {
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https://github.com/huggingface/datasets/issues/5698 | 5,698 | Add Qdrant as another search index | {
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"@mariosasko I'd appreciate your feedback on this. "
] | 2023-04-03T14:25:19Z | 2023-04-11T10:28:40Z | null | CONTRIBUTOR | null | 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... | null | {
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https://github.com/huggingface/datasets/pull/5697 | 5,697 | Raise an error on missing distributed seed | {
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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... | 2023-04-03T10:44:58Z | 2023-04-04T15:05:24Z | 2023-04-04T14:58:16Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/5696 | 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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https://github.com/huggingface/datasets/issues/5695 | 5,695 | Loading big dataset raises pyarrow.lib.ArrowNotImplementedError | {
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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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https://github.com/huggingface/datasets/issues/5694 | 5,694 | Dataset configuration | {
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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... | 2023-04-01T13:08:05Z | 2023-04-04T14:54:37Z | null | MEMBER | null | 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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https://github.com/huggingface/datasets/pull/5693 | 5,693 | [docs] Split pattern search order | {
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https://github.com/huggingface/datasets/issues/5692 | 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",
"@cyanic-selkie cou... | 2023-03-31T18:19:40Z | 2024-01-14T07:24:21Z | null | NONE | null | 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... | null | {
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https://github.com/huggingface/datasets/pull/5691 | 5,691 | [docs] Compress data files | {
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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... | 2023-03-31T17:17:26Z | 2023-04-19T13:37:32Z | 2023-04-19T07:25:58Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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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https://github.com/huggingface/datasets/pull/5689 | 5,689 | Support streaming Beam datasets from HF GCS preprocessed data | {
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"```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.... | 2023-03-31T08:44:24Z | 2023-04-12T05:57:55Z | 2023-04-12T05:50:31Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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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https://github.com/huggingface/datasets/issues/5690 | 5,690 | raise AttributeError(f"No {package_name} attribute {name}") AttributeError: No huggingface_hub attribute hf_api | {
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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 ... | 2023-03-31T08:22:22Z | 2023-07-21T14:21:57Z | 2023-07-21T14:21:57Z | NONE | null | 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://github.com/huggingface/datasets/issues/5688 | 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... | 2023-03-30T23:43:22Z | 2024-03-15T15:59:18Z | 2024-03-15T15:59:18Z | NONE | null | 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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https://github.com/huggingface/datasets/issues/5687 | 5,687 | Document to compress data files before uploading | {
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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`,... | 2023-03-30T06:41:07Z | 2023-04-19T07:25:59Z | 2023-04-19T07:25:59Z | MEMBER | null | 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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https://github.com/huggingface/datasets/pull/5686 | 5,686 | set dev version | {
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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.",
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https://github.com/huggingface/datasets/issues/5685 | 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... | 2023-03-29T15:25:30Z | 2023-03-30T07:54:25Z | 2023-03-30T07:54:25Z | NONE | null | 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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https://github.com/huggingface/datasets/pull/5684 | 5,684 | Release: 2.11.0 | {
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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... | 2023-03-29T15:06:07Z | 2023-03-29T18:30:34Z | 2023-03-29T18:15:54Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/5683 | 5,683 | Fix verification_mode when ignore_verifications is passed | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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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https://github.com/huggingface/datasets/issues/5682 | 5,682 | ValueError when passing ignore_verifications | {
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```
ValueError: 'none' is not a valid VerificationMode
``` | {
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https://github.com/huggingface/datasets/issues/5681 | 5,681 | Add information about patterns search order to the doc about structuring repo | {
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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 "
] | 2023-03-29T11:44:49Z | 2023-04-03T18:31:11Z | 2023-04-03T18:31:11Z | CONTRIBUTOR | null | 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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https://github.com/huggingface/datasets/pull/5680 | 5,680 | Fix a description error for interleave_datasets. | {
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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... | 2023-03-29T09:50:23Z | 2023-03-30T13:14:19Z | 2023-03-30T13:07:18Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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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https://github.com/huggingface/datasets/issues/5679 | 5,679 | Allow load_dataset to take a working dir for intermediate data | {
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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... | 2023-03-29T07:21:09Z | 2023-04-12T22:30:25Z | null | NONE | null | 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... | null | {
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https://github.com/huggingface/datasets/issues/5678 | 5,678 | Add support to create a Dataset from spark dataframe | {
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"if i read spark Dataframe , got an error on multi-node Spark cluster.\r\nDid the Api (Dataset.from_spark) support Spark cluster, read dataframe and save_to_disk?\r\n\r\nError: \r\n_pickle.PicklingError: Could not serialize object: RuntimeError: It appears that you are attempting to reference SparkContext from a b... | 2023-03-29T04:36:28Z | 2024-08-27T14:43:19Z | 2023-07-21T14:15:38Z | NONE | null | null | ### Feature request
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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https://github.com/huggingface/datasets/issues/5677 | 5,677 | Dataset.map() crashes when any column contains more than 1000 empty dictionaries | {
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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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https://github.com/huggingface/datasets/issues/5675 | 5,675 | Filter datasets by language code | {
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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... | 2023-03-27T09:42:28Z | 2023-03-30T08:08:15Z | 2023-03-30T08:08:15Z | NONE | null | 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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https://github.com/huggingface/datasets/issues/5674 | 5,674 | Stored XSS | {
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"Hi! You can contact `security@huggingface.co` to report this vulnerability."
] | 2023-03-26T20:55:58Z | 2024-04-30T22:56:41Z | 2023-03-27T21:01:55Z | NONE | null | null | x | {
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https://github.com/huggingface/datasets/pull/5673 | 5,673 | Pass down storage options | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> 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\... | 2023-03-26T20:09:37Z | 2023-03-28T15:03:38Z | 2023-03-28T14:54:17Z | CONTRIBUTOR | false | {
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