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"Thnaks for reporting @RRaphaell.\r\n\r\nWe are fixing it. "
] | 2022-03-27T17:05:39 | 2022-03-28T07:44:24 | 2022-03-28T07:44:24 | NONE | null | null | null | ## Describe the bug
can't download cats_vs_dogs dataset. error: Checksums didn't match for dataset source files
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("cats_vs_dogs")
```
## Expected results
loaded successfully.
## Actual results
NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip']
## Environment info
fresh google colab notebook
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"Hi @cathyxl, thanks for reporting.\r\n\r\nIndeed, we have recently updated the loading script of that dataset (and fixed that bug as well):\r\n- #4002\r\n\r\nThat fix will be available in our next `datasets` library release. In the meantime, you can incorporate that fix by:\r\n- installing `datasets` from our GitH... | 2022-03-27T07:38:23 | 2022-03-28T06:58:31 | 2022-03-28T06:31:18 | NONE | null | null | null | ## Describe the bug
Cannot load the dataset conll2012_ontonotesv5
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets import load_dataset
dataset = load_dataset('conll2012_ontonotesv5', 'english_v4', split="test")
print(dataset)
```
## Expected results
The datasets should be downloaded successfully
## Actual results
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/zmycy7t9h9-1.zip']
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.0
- Platform: Linux-5.4.0-88-generic-x86_64-with-glibc2.31
- Python version: 3.9.7
- PyArrow version: 7.0.0
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https://api.github.com/repos/huggingface/datasets/issues/4030 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4030/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4030/comments | https://api.github.com/repos/huggingface/datasets/issues/4030/events | https://github.com/huggingface/datasets/pull/4030 | 1,182,157,056 | PR_kwDODunzps41FxjE | 4,030 | Use a constant for the articles regex in SQuAD v2 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-26T23:06:30 | 2022-04-12T16:30:45 | 2022-04-12T11:00:24 | CONTRIBUTOR | null | false | {
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} | The main reason for doing this is to be able to change the articles list if using another language, for example. It's not the most elegant solution but at least it makes the metric more extensible with no drawbacks.
BTW, what could be the best way to make this more generic (i.e., SQuAD in other languages)? Maybe receive a regex as an optional param, with the current value as the default? Similarly for SQuAD v1 (can't they re-use code?). | {
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"Hi ! You can access the faiss index with\r\n```python\r\nfaiss_index = my_dataset.get_index(\"my_index_name\").faiss_index\r\n```\r\nand then do whatever you want with it, e.g. query it using range_search:\r\n```python\r\nthreshold = 0.95\r\nlimits, distances, indices = faiss_index.range_search(x=xq, thresh=thresh... | 2022-03-25T17:31:33 | 2022-05-06T08:35:52 | 2022-05-06T08:35:52 | NONE | null | null | null | **Is your feature request related to a problem? Please describe.**
I would like to retrieve all texts from a dataset, which are semantically similar to a specific input text (query), above a certain (cosine) similarity threshold. My dataset is very large (Wikipedia), so I need to use Datasets and FAISS for this. I would like to be able to repeat many different queries on the dataset quickly.
**Describe the solution you'd like**
dataset objects currently have the .get_nearest_examples() method for text retrieval via FAISS. But this only allows retrieving a specific number of K texts instead of everything above a specified similarity threshold.
It would be great if HF Datasets would also support the FAISS method .range_search() for retrieving texts above a certain similarity threshold.
see details here: https://github.com/facebookresearch/faiss/issues/1273
**Describe alternatives you've considered**
I've considered using native FAISS, but doing this via HF datasets would be better. My assumption is that Dataset features like dataset streaming make it easier to work with large datasets
**Additional context**
The concrete use-case is: I have a large dataset (wikipedia) and I would like to retrieve all paragraphs which are similar to a query. I will use sentence-transformers for encoding the texts.
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"_The documentation is not available anymore as the PR was closed or merged._"
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} | This PR:
- Removes the explicit installation of `librosa` (this is installed with `pip install datasets[audio]`
- Adds the warning for Linux users to install manually the non-Python package `libsndfile`
- Explains that the installation of `torchaudio` is only necessary to support loading audio datasets containing MP3 audio files
Related to #4000. | {
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"Hi, @MoritzLaurer, thanks for reporting.\r\n\r\nNormally this is due to a mismatch between the versions of your Elasticsearch client and server:\r\n- your ES client is passing only keyword arguments to your ES server\r\n- whereas your ES server expects a positional argument called 'scheme'\r\n\r\nIn order to fix t... | 2022-03-25T16:22:28 | 2022-04-07T10:29:52 | 2022-03-28T07:58:56 | NONE | null | null | null | ## Describe the bug
I am following the example in the documentation for elastic search step by step (on google colab): https://huggingface.co/docs/datasets/faiss_es#elasticsearch
```
from datasets import load_dataset
squad = load_dataset('crime_and_punish', split='train[:1000]')
```
When I run the line:
`squad.add_elasticsearch_index("context", host="localhost", port="9200")`
I get the error:
`TypeError: __init__() missing 1 required positional argument: 'scheme'`
## Expected results
No error message
## Actual results
```
TypeError Traceback (most recent call last)
[<ipython-input-23-9205593edef3>](https://localhost:8080/#) in <module>()
1 import elasticsearch
----> 2 squad.add_elasticsearch_index("text", host="localhost", port="9200")
6 frames
[/usr/local/lib/python3.7/dist-packages/elasticsearch/_sync/client/utils.py](https://localhost:8080/#) in host_mapping_to_node_config(host)
209 options["path_prefix"] = options.pop("url_prefix")
210
--> 211 return NodeConfig(**options) # type: ignore
212
213
TypeError: __init__() missing 1 required positional argument: 'scheme'
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.2.0
- Platform: Linux, Google Colab
- Python version: Google Colab (probably 3.7)
- PyArrow version: ?
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https://api.github.com/repos/huggingface/datasets/issues/4026 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4026/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4026/comments | https://api.github.com/repos/huggingface/datasets/issues/4026/events | https://github.com/huggingface/datasets/pull/4026 | 1,180,968,774 | PR_kwDODunzps41Btcm | 4,026 | Support streaming xtreme dataset for bucc18 config | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-25T16:00:40 | 2022-03-25T16:26:50 | 2022-03-25T16:21:52 | MEMBER | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/4025 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4025/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4025/comments | https://api.github.com/repos/huggingface/datasets/issues/4025/events | https://github.com/huggingface/datasets/issues/4025 | 1,180,963,105 | I_kwDODunzps5GZBEh | 4,025 | Missing argument in precision/recall | {
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"Thanks for the suggestion, @Dref360.\r\n\r\nWe are adding that argument. "
] | 2022-03-25T15:55:52 | 2022-03-28T09:53:06 | 2022-03-28T09:53:06 | CONTRIBUTOR | null | null | null | **Is your feature request related to a problem? Please describe.**
[`sklearn.metrics.precision_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html) accepts an argument `zero_division`, but it is not available in [precision Metric](https://github.com/huggingface/datasets/blob/master/metrics/precision/precision.py#L117)
Same issue is present for Recall.
**Describe the solution you'd like**
Support for **kwargs or adding a new field for `zero_division`.
**Describe alternatives you've considered**
I could filter the warnings myself, but that is not ideal.
**Additional context**
I can make the requested changes if this is approved. | {
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https://api.github.com/repos/huggingface/datasets/issues/4024 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4024/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4024/comments | https://api.github.com/repos/huggingface/datasets/issues/4024/events | https://github.com/huggingface/datasets/pull/4024 | 1,180,951,817 | PR_kwDODunzps41Bp3V | 4,024 | Doc: image_process small tip | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"This tip is unnecessary, i.e., Pillow will already be installed since the `Image` feature requires it for encoding and decoding. Thanks anyway.\r\n\r\ncc @stevhliu I've noticed we are missing the installation section in the doc (`pip... | 2022-03-25T15:44:32 | 2022-03-31T15:35:35 | 2022-03-31T15:30:20 | NONE | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/4023 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4023/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4023/comments | https://api.github.com/repos/huggingface/datasets/issues/4023/events | https://github.com/huggingface/datasets/pull/4023 | 1,180,840,399 | PR_kwDODunzps41BSZT | 4,023 | Replace yahoo_answers_topics data url | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The CI is failing because of issues in the dataset cards that are unrelated to this PR - merging"
] | 2022-03-25T14:08:57 | 2022-03-28T10:12:56 | 2022-03-28T10:07:52 | MEMBER | null | false | {
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} | I replaced the Google Drive URL of the dataset by the FastAI one, since we've had some issues with Google Drive. | {
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https://api.github.com/repos/huggingface/datasets/issues/4022 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4022/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4022/comments | https://api.github.com/repos/huggingface/datasets/issues/4022/events | https://github.com/huggingface/datasets/pull/4022 | 1,180,816,682 | PR_kwDODunzps41BNeA | 4,022 | Replace dbpedia_14 data url | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-25T13:47:21 | 2022-03-25T15:03:37 | 2022-03-25T14:58:49 | MEMBER | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/4021 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4021/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4021/comments | https://api.github.com/repos/huggingface/datasets/issues/4021/events | https://github.com/huggingface/datasets/pull/4021 | 1,180,805,092 | PR_kwDODunzps41BLAf | 4,021 | Fix `map` remove_columns on empty dataset | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-25T13:36:29 | 2022-03-29T13:41:31 | 2022-03-29T13:35:44 | MEMBER | null | false | {
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} | On an empty dataset, the `remove_columns` parameter of `map` currently doesn't actually remove the columns:
```python
>>> ds = datasets.load_dataset("glue", "rte")
>>> ds_filtered = ds.filter(lambda x: x["label"] != -1)
>>> ds_mapped = ds_filtered.map(lambda x: x, remove_columns=["label"])
>>> print(repr(ds_mapped.column_names))
{
'train': ['sentence1', 'sentence2', 'idx'],
'validation': ['sentence1', 'sentence2', 'idx'],
'test': ['sentence1', 'sentence2', 'label', 'idx']
}
```
I fixed this error and updated the tests | {
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https://api.github.com/repos/huggingface/datasets/issues/4020 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4020/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4020/comments | https://api.github.com/repos/huggingface/datasets/issues/4020/events | https://github.com/huggingface/datasets/pull/4020 | 1,180,636,754 | PR_kwDODunzps41Am4R | 4,020 | Replace amazon_polarity data URL | {
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} | I replaced the Google Drive URL of the dataset by the FastAI one, since we've had some issues with Google Drive. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"The CI is failing because of the incomplete dataset card - this is unrelated to the goal of this PR so we can ignore it"
] | 2022-03-25T10:42:51 | 2022-03-25T15:02:19 | 2022-03-25T14:57:16 | MEMBER | null | false | {
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} | It was using `dl_manager.download_and_extract` on a TAR archive, which is not supported in streaming mode. I replaced this by `dl_manager.iter_archive` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
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} | I replaced the Google Drive URL of the Yelp review dataset by the FastAI one, since we've had some issues with Google Drive.
Close https://github.com/huggingface/datasets/issues/4005 | {
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https://api.github.com/repos/huggingface/datasets/issues/4015 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4015/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4015/comments | https://api.github.com/repos/huggingface/datasets/issues/4015/events | https://github.com/huggingface/datasets/issues/4015 | 1,180,510,856 | I_kwDODunzps5GXSqI | 4,015 | Can not correctly parse the classes with imagefolder | {
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"I found that the problem arises because the image files in my folder are actually symbolic links (for my own reasons). After modifications, the classes can now be correctly parsed. Therefore, I close this issue.",
"HI, I have a question. How much time did you load the ImageNet data files? "
] | 2022-03-25T08:51:17 | 2022-03-28T01:02:03 | 2022-03-25T09:27:56 | NONE | null | null | null | ## Describe the bug
I try to load my own image dataset with imagefolder, but the parsing of classes is incorrect.
## Steps to reproduce the bug
I organized my dataset (ImageNet) in the following structure:
```
- imagenet/
- train/
- n01440764/
- ILSVRC2012_val_00000293.jpg
- ......
- n01695060/
- ......
- val/
- n01440764/
- n01695060/
- ......
```
At first, I followed the instructions from the Huggingface [example](https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification#using-your-own-data) to load my data as:
```
from datasets import load_dataset
data_files = {'train': 'imagenet/train', 'val': 'imagenet/val'}
ds = load_dataset("nateraw/image-folder", data_files=data_files, task="image-classification")
```
but it resulted following error (I mask my personal path as <PERSONAL_PATH>):
```
FileNotFoundError: Unable to find 'https://huggingface.co/datasets/nateraw/image-folder/resolve/main/imagenet/train' at <PERSONAL_PATH>/ImageNet/https:/huggingface.co/datasets/nateraw/image-folder/resolve/main
```
Next, I followed a recent issue #3960 to load data as:
```
from datasets import load_dataset
data_files = {'train': ['imagenet/train/**'], 'val': ['imagenet/val/**']}
ds = load_dataset("imagefolder", data_files=data_files, task="image-classification")
```
and the data can be loaded without error as: (I copy val folder to train folder for illustration)
```
>>> ds
DatasetDict({
train: Dataset({
features: ['image', 'labels'],
num_rows: 50000
})
val: Dataset({
features: ['image', 'labels'],
num_rows: 50000
})
})
```
However, the parsed classes is wrong (should be 1000 classes):
```
>>> ds["train"].features
{'image': Image(decode=True, id=None), 'labels': ClassLabel(num_classes=1, names=['val'], id=None)}
```
## Expected results
I expect that the "labels" in ds["train"].features should contain 1000 classes.
## Actual results
The "labels" in ds["train"].features contains only 1 wrong class.
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.0
- Platform: Ubuntu 18.04
- Python version: Python 3.7.12
- PyArrow version: 7.0.0
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"Hi @hazalturkmen, thanks for reporting.\r\n\r\nNote that your dataset repository does not contain any loading script; it only contains a data file named `tr_article_2`.\r\n\r\nWhen there is no loading script but only data files, the `datasets` library tries to infer how to load the data by looking at the data file... | 2022-03-25T07:12:02 | 2022-04-04T08:05:01 | 2022-03-25T14:16:11 | NONE | null | null | null | ## Dataset viewer issue for '*hazal/Turkish-Biomedical-corpus-trM'
**Link:** *https://huggingface.co/datasets/hazal/Turkish-Biomedical-corpus-trM*
*I cannot see the dataset preview.*
```
Server Error
Status code: 400
Exception: HTTPError
Message: 403 Client Error: Forbidden for url: https://huggingface.co/api/datasets/hazal/Turkish-Biomedical-corpus-trM?full=true
```
Am I the one who added this dataset ? Yes
| {
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} | wer variable changed to cer in README file
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"_The documentation is not available anymore as the PR was closed or merged._",
"Metrics are deprecated in `datasets` and `evaluate` should be used instead: https://github.com/huggingface/evaluate"
] | 2022-03-24T18:27:10 | 2023-07-11T09:35:46 | 2023-07-11T09:35:15 | CONTRIBUTOR | null | false | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merging since I'd like do do a patch release soon for this one"
] | 2022-03-24T17:58:59 | 2022-03-28T10:13:53 | 2022-03-28T10:08:40 | MEMBER | null | false | {
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} | `Features.encode_example` currently fails if it contains a sequence if dict like `Sequence({"subcolumn": Value("int32")})` and if `None` is passed instead of the dict.
```python
File "/Users/quentinlhoest/Desktop/hf/datasets/src/datasets/features/features.py", line 1310, in encode_example
return encode_nested_example(self, example)
File "/Users/quentinlhoest/Desktop/hf/datasets/src/datasets/features/features.py", line 973, in encode_nested_example
return {k: encode_nested_example(sub_schema, sub_obj) for k, (sub_schema, sub_obj) in zip_dict(schema, obj)}
File "/Users/quentinlhoest/Desktop/hf/datasets/src/datasets/features/features.py", line 973, in <dictcomp>
return {k: encode_nested_example(sub_schema, sub_obj) for k, (sub_schema, sub_obj) in zip_dict(schema, obj)}
File "/Users/quentinlhoest/Desktop/hf/datasets/src/datasets/features/features.py", line 998, in encode_nested_example
for k, (sub_schema, sub_objs) in zip_dict(schema.feature, obj):
File "/Users/quentinlhoest/Desktop/hf/datasets/src/datasets/utils/py_utils.py", line 207, in zip_dict
yield key, tuple(d[key] for d in dicts)
File "/Users/quentinlhoest/Desktop/hf/datasets/src/datasets/utils/py_utils.py", line 207, in <genexpr>
yield key, tuple(d[key] for d in dicts)
TypeError: 'NoneType' object is not subscriptable
```
I fixed this issue and updated the tests (this case was missing in the tests) | {
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"Issue unresolved, see [4000](https://github.com/huggingface/datasets/issues/4009#issue-1179658611)"
] | 2022-03-24T15:13:38 | 2022-03-24T15:46:38 | 2022-03-24T15:17:29 | NONE | null | null | null | ## Describe the bug
Getting error message when loading AMI dataset.
## Steps to reproduce the bug
`python3 -c "from datasets import load_dataset; print(load_dataset('ami', 'headset-single', split='validation')[0])"
`
## Expected results
A clear and concise description of the expected results.
## Actual results
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/load.py", line 1707, in load_dataset
use_auth_token=use_auth_token,
File "/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/builder.py", line 595, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/builder.py", line 690, in _download_and_prepare
) from None
OSError: Cannot find data file.
Original error:
sndfile library not found
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.18.3
- Platform: Linux-4.19.0-18-cloud-amd64-x86_64-with-debian-10.11
- Python version: 3.7.3
- PyArrow version: 7.0.0
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"Yay! I love this dataset!"
] | 2022-03-24T14:23:23 | 2022-03-24T15:29:01 | 2022-03-24T14:46:58 | MEMBER | null | false | {
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"Hi! Use the `ArrayXD` feature type (where X is the number of dimensions) to get correctly formated tensors. So in your case, define the dataset as follows :\r\n```python\r\nds = Dataset.from_dict({\"A\": [torch.rand((2, 2))]}, features=Features({\"A\": Array2D(shape=(2, 2), dtype=\"float32\")}))\r\n```\r\n",
"Hi... | 2022-03-24T11:27:43 | 2022-03-30T07:28:57 | 2022-03-24T14:39:29 | NONE | null | null | null | ## Describe the bug
set_format only transforms the last dimension of a multi-dimension list to tensor
## Steps to reproduce the bug
```python
import torch
from datasets import Dataset
ds = Dataset.from_dict({"A": [torch.rand((2, 2))]})
# ds = Dataset.from_dict({"A": [np.random.rand(2, 2)]}) # => same result
ds = ds.with_format("torch")
print(ds[0])
```
## Expected results
```
{'A': [tensor([[0.6689, 0.1516], [0.1403, 0.5567]])]}
```
## Actual results
```
{'A': [tensor([0.6689, 0.1516]), tensor([0.1403, 0.5567])]}
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- datasets version: 2.0.0
- Platform: Mac OSX
- Python version: 3.8.12
- PyArrow version: 7.0.0 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-24T11:15:22 | 2022-03-24T17:19:29 | 2022-03-24T16:48:02 | MEMBER | null | false | {
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} | The AutomaticSpeechRecognition task template is outdated: it still uses the file path column as input instead of the audio column.
I changed that and updated all the datasets as well as the tests.
The only community dataset that will need to be updated is `facebook/multilingual_librispeech`. It has almost zero usage unfortunately (probably because users load the duplicate `multilingual_librispeech` directly instead), but it means we can update it.
(this makes me think that we should deprecate `multilingual_librispeech` it and redirect users to `facebook/multilingual_librispeech`).
This PR is also useful for the AudioFolder in https://github.com/huggingface/datasets/pull/3963 | {
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https://api.github.com/repos/huggingface/datasets/issues/4005 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4005/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4005/comments | https://api.github.com/repos/huggingface/datasets/issues/4005/events | https://github.com/huggingface/datasets/issues/4005 | 1,179,365,663 | I_kwDODunzps5GS7Ef | 4,005 | Yelp not working | {
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"I don't think it's an issue with the dataset-viewer. Maybe @lhoestq or @albertvillanova could confirm.\r\n\r\n```python\r\n>>> from datasets import load_dataset, DownloadMode\r\n>>> import itertools\r\n>>> # without streaming\r\n>>> dataset = load_dataset(\"yelp_review_full\", name=\"yelp_review_full\", split=\"tr... | 2022-03-24T11:14:00 | 2022-03-25T14:59:57 | 2022-03-25T14:56:10 | MEMBER | null | null | null | ## Dataset viewer issue for '*name of the dataset*'
**Link:** https://huggingface.co/datasets/yelp_review_full/viewer/yelp_review_full/train
Doesn't work:
```
Server error
Status code: 400
Exception: Error
Message: line contains NULL
```
Am I the one who added this dataset ? No
A seamingly copy of the dataset: https://huggingface.co/datasets/SetFit/yelp_review_full works . The original one: https://huggingface.co/datasets/yelp_review_full has > 20K downloads.
| {
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https://api.github.com/repos/huggingface/datasets/issues/4004 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4004/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4004/comments | https://api.github.com/repos/huggingface/datasets/issues/4004/events | https://github.com/huggingface/datasets/pull/4004 | 1,179,320,795 | PR_kwDODunzps408Onj | 4,004 | ASSIN 2 dataset: replace broken Google Drive _URLS by links on github | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-24T10:37:39 | 2022-03-28T14:01:46 | 2022-03-28T13:56:39 | CONTRIBUTOR | null | false | {
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} | Closes #4003 .
Fixes checksum error. Replaces Google Drive urls by the files hosted here: [Multilingual Transformer Ensembles for Portuguese Natural Language Tasks](https://github.com/ruanchaves/assin) | {
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https://api.github.com/repos/huggingface/datasets/issues/4003 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4003/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4003/comments | https://api.github.com/repos/huggingface/datasets/issues/4003/events | https://github.com/huggingface/datasets/issues/4003 | 1,179,286,877 | I_kwDODunzps5GSn1d | 4,003 | ASSIN2 dataset checksum bug | {
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"Using latest code, I am still facing the issue.\r\n\r\n```python\r\n(base) vimos@vimosmu ➜ ~ ipython\r\nPython 3.6.7 | packaged by conda-forge | (default, Nov 6 2019, 16:19:42) \r\nType 'copyright', 'credits' or 'license' for more information\r\nIPython 7.11.1 -- An enhanced Interactive Python. Type '?' for help... | 2022-03-24T10:08:50 | 2022-04-27T14:14:45 | 2022-03-28T13:56:39 | CONTRIBUTOR | null | null | null | ## Describe the bug
Checksum error after trying to load the [ASSIN 2 dataset](https://huggingface.co/datasets/assin2).
`NonMatchingChecksumError` triggered by calling `load_dataset("assin2")`.
Similar to #3952 , #3942 , #3941 , etc.
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback (most recent call last)
[<ipython-input-13-c664a92ad5e7>](https://localhost:8080/#) in <module>()
----> 1 load_dataset('assin2')
4 frames
[/usr/local/lib/python3.7/dist-packages/datasets/utils/info_utils.py](https://localhost:8080/#) in verify_checksums(expected_checksums, recorded_checksums, verification_name)
38 if len(bad_urls) > 0:
39 error_msg = "Checksums didn't match" + for_verification_name + ":\n"
---> 40 raise NonMatchingChecksumError(error_msg + str(bad_urls))
41 logger.info("All the checksums matched successfully" + for_verification_name)
42
NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://drive.google.com/u/0/uc?id=1Q9j1a83CuKzsHCGaNulSkNxBm7Dkn7Ln&export=download']
```
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("assin2")
```
## Expected results
Load the dataset.
## Actual results
The dataset won't load.
## Environment info
- `datasets` version: 2.0.1.dev0
- Platform: Google Colab
- Python version: 3.7.12
- PyArrow version: 6.0.1
| {
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https://api.github.com/repos/huggingface/datasets/issues/4002 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4002/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4002/comments | https://api.github.com/repos/huggingface/datasets/issues/4002/events | https://github.com/huggingface/datasets/pull/4002 | 1,179,263,787 | PR_kwDODunzps408Cfp | 4,002 | Support streaming conll2012_ontonotesv5 dataset | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-24T09:49:56 | 2022-03-24T10:53:41 | 2022-03-24T10:48:47 | MEMBER | null | false | {
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} | Use another URL whit a single ZIP file (instead of previous one with a ZIP file inside another ZIP file). | {
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https://api.github.com/repos/huggingface/datasets/issues/4001 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4001/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4001/comments | https://api.github.com/repos/huggingface/datasets/issues/4001/events | https://github.com/huggingface/datasets/issues/4001 | 1,179,231,418 | I_kwDODunzps5GSaS6 | 4,001 | How to use generate this multitask dataset for SQUAD? I am getting a value error. | {
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"Hi! Replacing `nlp.<obj>` with `datasets.<obj>` in the script should fix the problem. `nlp` has been renamed to `datasets` more than a year ago, so please use `datasets` instead to avoid weird issues.",
"Thank You! Was able to solve with the help of this.",
"But I request you to please fix the same in the data... | 2022-03-24T09:21:51 | 2022-03-26T09:48:21 | 2022-03-26T03:35:43 | NONE | null | null | null | ## Dataset viewer issue for 'squad_multitask*'
**Link:** https://huggingface.co/datasets/vershasaxena91/squad_multitask
*short description of the issue*
I am trying to generate the multitask dataset for squad dataset. However, gives the error in dataset explorer as well as my local machine.
I tried the command: dataset = load_dataset("vershasaxena91/squad_multitask", 'highlight_qg_format')
Error:
Status code: 400
Exception: TypeError
Message: argument of type 'Value' is not iterable
Kindly advice.
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https://api.github.com/repos/huggingface/datasets/issues/4000 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4000/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4000/comments | https://api.github.com/repos/huggingface/datasets/issues/4000/events | https://github.com/huggingface/datasets/issues/4000 | 1,178,844,616 | I_kwDODunzps5GQ73I | 4,000 | load_dataset error: sndfile library not found | {
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"Hi @i-am-neo,\r\n\r\nThe audio support is an extra feature of `datasets` and therefore it must be installed as an additional optional dependency:\r\n```shell\r\npip install datasets[audio]\r\n```\r\nAdditionally, for specific MP3 support (which is not the case for AMI dataset, that contains WAV audio files), there... | 2022-03-24T01:52:32 | 2022-03-25T17:53:33 | 2022-03-25T17:53:33 | NONE | null | null | null | ## Describe the bug
Can't load ami dataset
## Steps to reproduce the bug
```
python3 -c "from datasets import load_dataset; print(load_dataset('ami', 'headset-single', split='validation')[0])"
```
## Expected results
## Actual results
Downloading and preparing dataset ami/headset-single (download: 10.71 GiB, generated: 49.99 MiB, post-processed: Unknown size, total: 10.76 GiB) to /home/neo/.cache/huggingface/datasets/ami/headset-single/1.6.2/2accdf810f7c0585f78f4bcfa47684fbb980e35d29ecf126e6906dbecb872d9e...
AMI corpus cannot be downloaded using multi-processing. Setting number of downloaded processes `num_proc` to 1.
100%|██████████████████████████████████████████████████████| 136/136 [00:00<00:00, 36004.88it/s]
100%|█████████████████████████████████████████████████████████| 136/136 [00:01<00:00, 79.10it/s]
100%|████████████████████████████████████████████████████████| 18/18 [00:00<00:00, 25343.23it/s]
100%|█████████████████████████████████████████████████████████| 18/18 [00:00<00:00, 2874.78it/s]
100%|████████████████████████████████████████████████████████| 16/16 [00:00<00:00, 27950.38it/s]
100%|█████████████████████████████████████████████████████████| 16/16 [00:00<00:00, 2892.25it/s]
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/load.py", line 1707, in load_dataset
use_auth_token=use_auth_token,
File "/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/builder.py", line 595, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/home/neo/.virtualenvs/hubert/lib/python3.7/site-packages/datasets/builder.py", line 690, in _download_and_prepare
) from None
OSError: Cannot find data file.
Original error:
sndfile library not found
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.18.3
- Platform: Linux-4.19.0-18-cloud-amd64-x86_64-with-debian-10.11
- Python version: 3.7.3
- PyArrow version: 7.0.0
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-23T21:27:33 | 2022-03-30T17:01:45 | 2022-03-30T16:56:38 | MEMBER | null | false | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"@albertvillanova do you think [this line](https://github.com/huggingface/datasets/pull/3998/files#diff-58e348f6e4deaa5f3119e420a5d48ebb82875a78c28628831748fb54f59b2c78R67) is enough? that's why we missed this bug, we didn't check thi... | 2022-03-23T20:32:13 | 2022-03-29T14:21:44 | 2022-03-29T14:16:13 | CONTRIBUTOR | null | false | {
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} | Closes #3996 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-23T19:23:51 | 2022-04-13T15:52:27 | 2022-04-13T15:46:19 | CONTRIBUTOR | null | false | {
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} | This PR adds a wrapper to the `Features` class to keep the secondary dict, `_column_requires_decoding`, aligned with the main dict (as discussed in https://github.com/huggingface/datasets/pull/3723#discussion_r806912731).
A more elegant approach would be to subclass `UserDict` and override `__setitem__` and `__delitem__`, but this PR doesn't implement it for the following reasons:
* it requires replacing all occurrences of `isinstance(obj, dict)` with `isinstance(obj, Mapping)`, which is five times slower than `isinstance(obj, dict)` on my machine, in `features.py`
* is a breaking change, i.e., `isinstance(Features(...), dict)` would return `False` after it
* IMO, it makes sense to be consistent in the user-facing API and subclass either `dict` or `UserDict`. The problem with the latter is that it can't be used for `DatasetDict` because `DatasetDict` exposes the `data` property, which is also used by `UserDict`, so this would result in a collision.
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"Good catch ! Yes I think passing `format=\"wav\"` is the right thing to do",
"Thanks @polinaeterna for reporting this issue.\r\n\r\nIn relation to the decoding of MP3 audio files without torchaudio, I remember Patrick made some tests and these had quite bad performance. That is why he proposed to support MP3 fil... | 2022-03-23T17:11:47 | 2022-03-29T14:16:13 | 2022-03-29T14:16:13 | CONTRIBUTOR | null | null | null | ## Describe the bug
When trying to do `Audio().encode_example()` with preexisting array (see [this line](https://github.com/huggingface/datasets/blob/master/src/datasets/features/audio.py#L73)), `sf.write()` throws you an error:
`TypeError: No format specified and unable to get format from file extension: <_io.BytesIO object at 0x7f4218c0db30>`
## Steps to reproduce the bug
### Sample code to reproduce the bug
```python
# download sample file
!wget https://huggingface.co/datasets/polinaeterna/test_encode_example/resolve/main/common_voice_vi_21824030.mp3
arr, sr = librosa.load("common_voice_vi_21824030.mp3")
Audio().encode_example({
"path": "common_voice_vi_21824030.mp3",
"array": arr,
"sampling_rate":sr
})
```
## Expected results
An encoded example (`{"bytes": b'....', "path": 'path'}`)
## Actual results
```python
TypeError Traceback (most recent call last)
Input In [3], in <module>
1 arr, sr = librosa.load("common_voice_vi_21824030.mp3")
----> 3 Audio().encode_example({
4 "path": "common_voice_vi_21824030.mp3",
5 "array": arr,
6 "sampling_rate":sr
7 })
File ~/workspace/datasets/src/datasets/features/audio.py:75, in Audio.encode_example(self, value)
73 elif isinstance(value, dict) and "array" in value:
74 buffer = BytesIO()
---> 75 sf.write(buffer, value["array"], value["sampling_rate"])
76 return {"bytes": buffer.getvalue(), "path": value.get("path")}
77 elif value.get("bytes") is not None or value.get("path") is not None:
File ~/miniconda3/envs/datasets/lib/python3.8/site-packages/soundfile.py:314, in write(file, data, samplerate, subtype, endian, format, closefd)
312 else:
313 channels = data.shape[1]
--> 314 with SoundFile(file, 'w', samplerate, channels,
315 subtype, endian, format, closefd) as f:
316 f.write(data)
File ~/miniconda3/envs/datasets/lib/python3.8/site-packages/soundfile.py:627, in SoundFile.__init__(self, file, mode, samplerate, channels, subtype, endian, format, closefd)
625 mode_int = _check_mode(mode)
626 self._mode = mode
--> 627 self._info = _create_info_struct(file, mode, samplerate, channels,
628 format, subtype, endian)
629 self._file = self._open(file, mode_int, closefd)
630 if set(mode).issuperset('r+') and self.seekable():
631 # Move write position to 0 (like in Python file objects)
File ~/miniconda3/envs/datasets/lib/python3.8/site-packages/soundfile.py:1416, in _create_info_struct(file, mode, samplerate, channels, format, subtype, endian)
1414 original_format = format
1415 if format is None:
-> 1416 format = _get_format_from_filename(file, mode)
1417 assert isinstance(format, (_unicode, str))
1418 else:
File ~/miniconda3/envs/datasets/lib/python3.8/site-packages/soundfile.py:1457, in _get_format_from_filename(file, mode)
1455 pass
1456 if format.upper() not in _formats and 'r' not in mode:
-> 1457 raise TypeError("No format specified and unable to get format from "
1458 "file extension: {0!r}".format(file))
1459 return format
TypeError: No format specified and unable to get format from file extension: <_io.BytesIO object at 0x7fd8daf88180>
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: datasets master
- Platform: Ubuntu 20.04
- Python version: python 3.8.12
- PyArrow version: 6.0.1
## Solution
I guess we just need to add `format` arg in [this line](https://github.com/huggingface/datasets/blob/master/src/datasets/features/audio.py#L75) like this:
```python
sf.write(buffer, value["array"], value["sampling_rate"], format="wav")
```
BTW discovered this when trying to decode audio in mp3 format without torchaudio (would be useful for TensorFlow users), like this:
```python
from datasets import load_dataset, Features, Audio
ds = load_dataset("common_voice", "vi", split="test")
ds = ds.remove_columns("audio")
ds.select(range(3)) # 3 samples just for testing
def load_mp3_with_librosa(example):
arr, sr = librosa.load(example["path"])
example["audio"] = {
"path": example["path"],
"array": arr,
"sampling_rate": sr
}
return example
updated_dataset = ds.map(lambda example: load_mp3_with_librosa(example),
features=Features(
{"audio": Audio(decode=False)}
))
```
@lhoestq @mariosasko @albertvillanova am I right in my logic? do we agree that we can set wav as the format? 🤗 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-23T14:51:48 | 2022-03-23T18:24:52 | 2022-03-23T18:19:27 | CONTRIBUTOR | null | false | {
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} | Closes the file handler of the PIL image object in `Image.decode_example` to avoid the `Too many open files` error.
To pass [the image equality checks](https://app.circleci.com/pipelines/github/huggingface/datasets/10774/workflows/d56670e6-16bb-4c64-b601-a152c5acf5ed/jobs/65825) in CI, `Image.decode_example` calls `image.load()` regardless of how the image object is created (not only for the `PIL.Image.open(local_path)` case). This is needed because `load()` sets the `readonly` attribute of a `PIL.Image` object to 0 (it's 1 after `PIL.Image.open(file_like)`), and in the older PIL versions (only fixed on main), that attribute is considered in `PIL.Image.__eq__`. More info can be found here: https://github.com/python-pillow/Pillow/issues/5926.
Fix #3985
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https://api.github.com/repos/huggingface/datasets/issues/3993 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3993/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3993/comments | https://api.github.com/repos/huggingface/datasets/issues/3993/events | https://github.com/huggingface/datasets/issues/3993 | 1,178,201,495 | I_kwDODunzps5GOe2X | 3,993 | Streaming dataset + interleave + DataLoader hangs with multiple workers | {
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"Same thing occurs when streaming files loaded from disk.",
"Hi ! Thanks for reporting, could this be related to https://github.com/huggingface/datasets/issues/3950 ?\r\n\r\nCurrently streaming datasets only works in single process, but we're working on having in work in distributed setups as well :) (EDIT: done)... | 2022-03-23T14:27:29 | 2023-02-28T14:14:24 | null | NONE | null | null | null | ## Describe the bug
Interleaving multiple iterable datasets that use `load_dataset` on streaming mode hangs when passed to `torch.utils.data.DataLoader` with multiple workers.
## Steps to reproduce the bug
```python
from datasets import interleave_datasets, load_dataset
from torch.utils.data import DataLoader
en_dataset = load_dataset('oscar', "unshuffled_deduplicated_en", split='train', streaming=True)
fr_dataset = load_dataset('oscar', "unshuffled_deduplicated_fr", split='train', streaming=True)
it_dataset = load_dataset('oscar', "unshuffled_deduplicated_it", split='train', streaming=True)
de_dataset = load_dataset('oscar', "unshuffled_deduplicated_de", split='train', streaming=True)
multilingual_dataset = interleave_datasets([en_dataset, fr_dataset, de_dataset, it_dataset])
multilingual_dataset = multilingual_dataset.with_format('torch')
next(iter(multilingual_dataset)) # works fairly fast
dataloader = DataLoader(multilingual_dataset, batch_size=8, num_workers=4)
for batch in dataloader:
print(len(batch)) # prints nothing after 30 min of waiting
dataloader = DataLoader(multilingual_dataset, batch_size=8, num_workers=0)
for batch in dataloader:
print(len(batch)) # prints right away
```
## Expected results
It should be able to iterate the dataset with multiple workers.
## Actual results
Prints with results with `next(iter(multilingual_dataset)) ` and `num_workers=0` but it prints nothing with `num_workers=4` or any number above 0.
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.1.dev0
- `pytorch` version: 1.10.0+cu113
- Python version: 3.7
- PyArrow version: 6.0.1
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https://api.github.com/repos/huggingface/datasets/issues/3992 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3992/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3992/comments | https://api.github.com/repos/huggingface/datasets/issues/3992/events | https://github.com/huggingface/datasets/issues/3992 | 1,177,946,153 | I_kwDODunzps5GNggp | 3,992 | Image column is not decoded in map when using with with_transform | {
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"Hi! This behavior stems from this line: https://github.com/huggingface/datasets/blob/799b817d97590ddc97cbd38d07469403e030de8c/src/datasets/arrow_dataset.py#L1919\r\nBasically, the `Image`/`Audio` columns are decoded only if the `format_type` attribute is `None` (`set_format`/`with_format` and `set_transform`/`with... | 2022-03-23T10:51:13 | 2022-12-13T16:59:06 | 2022-12-13T16:59:06 | NONE | null | null | null | ## Describe the bug
Image column is not _decoded_ in **map** when using with `with_transform`
## Steps to reproduce the bug
```python
from datasets import Image, Dataset
def add_C(batch):
batch["C"] = batch["A"]
return batch
ds = Dataset.from_dict({"A": ["image.png"]}).cast_column("A", Image())
ds = ds.with_transform(lambda x: x) # <= This line causes the problem
ds = ds.map(add_C, batched=True)
print(ds[0])
```
## Expected results
```
{'C': <PIL.PngImagePlugin.PngImageFile>, ...}
```
## Actual results
```
{'C': {'bytes': None, 'path': 'image.png'}, ...}
```
If we remove the `with_transform` line, we get the expected result.
## Environment info
- `datasets` version: 2.0.0
- Platform: Mac OSX
- Python version: 3.8.12
- PyArrow version: 7.0.0
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https://api.github.com/repos/huggingface/datasets/issues/3991 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3991/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3991/comments | https://api.github.com/repos/huggingface/datasets/issues/3991/events | https://github.com/huggingface/datasets/issues/3991 | 1,177,362,901 | I_kwDODunzps5GLSHV | 3,991 | Add Lung Image Database Consortium image collection (LIDC-IDRI) dataset | {
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... | open | false | null | [] | [] | 2022-03-22T22:16:05 | 2022-03-23T12:57:16 | null | NONE | null | null | null | ## Adding a Dataset
- **Name:** *Lung Image Database Consortium image collection (LIDC-IDRI)*
- **Description:** *Consists of diagnostic and lung cancer screening thoracic computed tomography (CT) scans with marked-up annotated lesions. It is a web-accessible international resource for development, training, and evaluation of computer-assisted diagnostic (CAD) methods for lung cancer detection and diagnosis. Initiated by the National Cancer Institute (NCI), further advanced by the Foundation for the National Institutes of Health (FNIH), and accompanied by the Food and Drug Administration (FDA) through active participation, this public-private partnership demonstrates the success of a consortium founded on a consensus-based process.*
- **Data:** *[link to the Github repository or current dataset location](https://wiki.cancerimagingarchive.net/display/Public/LIDC-IDRI)*
- **Motivation:** *Key dataset in the healthcare community*
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
FYI @osanseviero @abidlabs | {
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https://api.github.com/repos/huggingface/datasets/issues/3990 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3990/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3990/comments | https://api.github.com/repos/huggingface/datasets/issues/3990/events | https://github.com/huggingface/datasets/issues/3990 | 1,176,976,247 | I_kwDODunzps5GJzt3 | 3,990 | Improve AutomaticSpeechRecognition task template | {
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"There is an open PR to do that: #3364. I just haven't had time to finish it... ",
"> There is an open PR to do that: #3364. I just haven't had time to finish it...\r\n\r\n😬 thanks..."
] | 2022-03-22T15:41:08 | 2022-03-23T17:12:40 | 2022-03-23T17:12:40 | CONTRIBUTOR | null | null | null | **Is your feature request related to a problem? Please describe.**
[AutomaticSpeechRecognition task template](https://github.com/huggingface/datasets/blob/master/src/datasets/tasks/automatic_speech_recognition.py) is outdated as it uses path to audiofile as an audio column instead of a Audio feature itself (I guess it's because Audio feature didn't exist at the time this template was created).
**Describe the solution you'd like**
Change audio columns from string path to Audio feature.
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https://api.github.com/repos/huggingface/datasets/issues/3989 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3989/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3989/comments | https://api.github.com/repos/huggingface/datasets/issues/3989/events | https://github.com/huggingface/datasets/pull/3989 | 1,176,955,078 | PR_kwDODunzps400l1S | 3,989 | Remove old wikipedia leftovers | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> This makes me think we shouldn't advise the use of load_dataset in dataset scripts, since it doesn't guarantee that the cache will work as expected (the cache directory is not set correctly, and the required disk space for download... | 2022-03-22T15:25:46 | 2022-03-31T15:35:26 | 2022-03-31T15:30:16 | MEMBER | null | false | {
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} | After updating Wikipedia dataset, remove old wikipedia leftovers from doc.
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"_The documentation is not available anymore as the PR was closed or merged._",
"Looks good, thanks for working on this!"
] | 2022-03-22T14:18:41 | 2022-03-22T17:06:32 | 2022-03-22T16:50:44 | CONTRIBUTOR | null | false | {
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} | Aligns the internal references with style discussed in https://github.com/huggingface/datasets/pull/3980.
cc @stevhliu | {
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https://api.github.com/repos/huggingface/datasets/issues/3987 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3987/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3987/comments | https://api.github.com/repos/huggingface/datasets/issues/3987/events | https://github.com/huggingface/datasets/pull/3987 | 1,176,481,659 | PR_kwDODunzps40zAxF | 3,987 | Fix Faiss custom_index device | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-22T09:11:24 | 2022-03-24T12:18:59 | 2022-03-24T12:14:12 | MEMBER | null | false | {
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} | Currently, if both `custom_index` and `device` are passed to `FaissIndex`, `device` is silently ignored.
This PR fixes this by raising a ValueError if both arguments are passed.
Alternatively, the `custom_index` could be transferred to the target `device`. | {
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https://api.github.com/repos/huggingface/datasets/issues/3986 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3986/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3986/comments | https://api.github.com/repos/huggingface/datasets/issues/3986/events | https://github.com/huggingface/datasets/issues/3986 | 1,176,429,565 | I_kwDODunzps5GHuP9 | 3,986 | Dataset loads indefinitely after modifying default cache path (~/.cache/huggingface) | {
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"Hi ! I didn't managed to reproduce the issue. When you kill the process, is there any stacktrace that shows at what point in the code python is hanging ?",
"Hi @lhoestq , I've traced the issue back to file locking. It's similar to this thread, using Lustre filesystem as well. https://github.com/huggingface/datas... | 2022-03-22T08:23:21 | 2023-03-06T16:55:04 | null | NONE | null | null | null | ## Describe the bug
Dataset loads indefinitely after modifying cache path (~/.cache/huggingface)
If none of the environment variables are set, this custom dataset loads fine ( json-based dataset with custom dataset load script)
** Update: Transformer modules faces the same issue as well during loading
## A clear and concise description of what the bug is.
Issue:
- Dataset loading stalls / freezes indefinitely when HF_HOME is changed to a custom directory
- No error code, had to terminate the process
- There are some files created in the cache directory:
```
custom_cache_dir
| -- modules
| -- __init__.py
| -- datasets_modules
| -- __init__.py
| -- datasets
| -- __init__.py
| -- script.py (Dataset loading script)
| -- script.lock
```
There's no error nor any logs thrown so I'm out of ideas of how to to debug this. The custom dataset works fine if the default ~/.cache dir is used, but unfortunately it's out of space and we do not have permissions to modify the disk.
## Steps to reproduce the bug
What I've tried:
- Modifying HF_HOME (https://github.com/huggingface/transformers/issues/8703)
- Modifying HF_DATASETS_CACHE (https://huggingface.co/docs/datasets/v1.12.0/cache.html)
- Modifying cache_dir param during runtime
```python
>>> from datasets import load_dataset
>>> dataset = load_dataset('test_dataset', cache_dir='/path/to/new/cache')
```
- Disabling dataset cache
```python
>>> from datasets import set_caching_enabled
>>> set_caching_enabled(False)
```
## Expected results
Datasets should load / cache as usual with the only exception that cache directory is different
## Actual results
Any actions taken above to change the cache directory results in loading indefinitely without terminating.
## Environment info
- `transformers` version: 4.18.0.dev0
- Platform: Linux-4.15.0-54-generic-x86_64-with-glibc2.10
- Python version: 3.8.8
- Huggingface_hub version: 0.4.0
- PyTorch version (GPU?): 1.8.1+cu102 (True)
- Tensorflow version (GPU?): 2.4.1 (False)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: Yes
- Using distributed or parallel set-up in script?: No
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https://api.github.com/repos/huggingface/datasets/issues/3985 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3985/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3985/comments | https://api.github.com/repos/huggingface/datasets/issues/3985/events | https://github.com/huggingface/datasets/issues/3985 | 1,175,982,937 | I_kwDODunzps5GGBNZ | 3,985 | [image feature] Too many files open error when image feature is returned as a path | {
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] | closed | false | null | [] | [] | 2022-03-21T21:54:05 | 2022-03-23T18:19:27 | 2022-03-23T18:19:27 | CONTRIBUTOR | null | null | null | ## Describe the bug
PR in context: #3967. If I load the dataset in this PR (TextVQA), and do a simple list comprehension on the dataset, I get `Too many open files error`. This is happening due to the way we are loading the image feature when a str path is returned from the `_generate_examples`. Specifically at https://github.com/huggingface/datasets/blob/508eb4ab5d52f590baa677b4f64b1cc069139f7b/src/datasets/features/image.py#L110, we are open the file handle to the image but never closing it. This in my understanding is causing the issue.
## Steps to reproduce the bug
Pull the PR locally and run the following code
```python
from datasets import load_dataset
dataset = load_dataset("./datasets/textvqa")["train"]
data = [item for item in dataset]
# Error happens
```
## Expected results
List comprehension should work smoothly
## Actual results
`Too many open files error`
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.1.dev0
- Platform: macOS-12.2-arm64-arm-64bit
- Python version: 3.10.0
- PyArrow version: 7.0.0
- Pandas version: 1.4.1
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https://api.github.com/repos/huggingface/datasets/issues/3984 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3984/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3984/comments | https://api.github.com/repos/huggingface/datasets/issues/3984/events | https://github.com/huggingface/datasets/issues/3984 | 1,175,822,117 | I_kwDODunzps5GFZ8l | 3,984 | Local and automatic tests fail | {
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"Hi ! To be able to run the tests, you need to install all the test dependencies and additional ones with\r\n```\r\npip install -e .[tests]\r\npip install -r additional-tests-requirements.txt --no-deps\r\n```\r\n\r\nIn particular, you probably need to `sacrebleu`. It looks like it wasn't able to instantiate `sacreb... | 2022-03-21T19:07:37 | 2023-07-25T15:18:40 | 2023-07-25T15:18:40 | NONE | null | null | null | ## Describe the bug
Running the tests from CircleCI on a PR or locally fails, even with no changes. Tests seem to fail on `test_metric_common.py`
## Steps to reproduce the bug
```shell
git clone https://huggingface/datasets.git
cd datasets
```
```python
python -m pip install -e .
pytest
```
## Expected results
All tests passing
## Actual results
```
tests/test_metric_common.py:91:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
../.pyenv/versions/3.8.5/lib/python3.8/doctest.py:1336: in __run
exec(compile(example.source, filename, "single",
<doctest datasets_modules.metrics.ter.c0cfb5adedac7eb15ffa47bba6a70fabd80f3eb906ee508abf5e1906285d1155.ter.Ter[3]>:1: in <module>
???
../datasets/src/datasets/metric.py:430: in compute
output = self._compute(**inputs, **compute_kwargs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = Metric(name: "ter", features: {'predictions': Value(dtype='string', id='sequence'), 'references': Sequence(feature=Val...ences=references)
>>> print(results)
{'score': 0.0, 'num_edits': 0, 'ref_length': 6.5}
""", stored examples: 0)
predictions = ['hello there general kenobi', 'foo bar foobar']
references = [['hello there general kenobi', 'hello there !'], ['foo bar foobar', 'foo bar foobar']]
normalized = False, no_punct = False, asian_support = False, case_sensitive = False
def _compute(
self,
predictions,
references,
normalized: bool = False,
no_punct: bool = False,
asian_support: bool = False,
case_sensitive: bool = False,
):
references_per_prediction = len(references[0])
if any(len(refs) != references_per_prediction for refs in references):
raise ValueError("Sacrebleu requires the same number of references for each prediction")
transformed_references = [[refs[i] for refs in references] for i in range(references_per_prediction)]
> sb_ter = TER(normalized, no_punct, asian_support, case_sensitive)
E TypeError: __init__() takes 2 positional arguments but 5 were given
/tmp/pytest-of-markussagen/pytest-1/cache/modules/datasets_modules/metrics/ter/c0cfb5adedac7eb15ffa47bba6a70fabd80f3eb906ee508abf5e1906285d1155/ter.py:130: TypeError
------------------------------ Captured stdout call -------------------------------
Trying:
predictions = ["hello there general kenobi", "foo bar foobar"]
Expecting nothing
ok
Trying:
references = [["hello there general kenobi", "hello there !"], ["foo bar foobar", "foo bar foobar"]]
Expecting nothing
ok
Trying:
ter = datasets.load_metric("ter")
Expecting nothing
ok
Trying:
results = ter.compute(predictions=predictions, references=references)
Expecting nothing
================================ warnings summary =================================
../.pyenv/versions/3.8.5/envs/huggingface/lib/python3.8/site-packages/hdfs/config.py:15
/home/markussagen/.pyenv/versions/3.8.5/envs/huggingface/lib/python3.8/site-packages/hdfs/config.py:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
from imp import load_source
../datasets/src/datasets/commands/test.py:35
/home/markussagen/datasets/src/datasets/commands/test.py:35: PytestCollectionWarning: cannot collect test class 'TestCommand' because it has a __init__ constructor (from: tests/commands/test_test.py)
class TestCommand(BaseDatasetsCLICommand):
tests/commands/test_test.py:33
/home/markussagen/mydataset/tests/commands/test_test.py:33: PytestCollectionWarning: cannot collect test class 'TestCommandArgs' because it has a __new__ constructor (from: tests/commands/test_test.py)
class TestCommandArgs:
tests/test_arrow_dataset.py: 760 warnings
tests/test_formatting.py: 60 warnings
tests/test_search.py: 31 warnings
tests/features/test_array_xd.py: 117 warnings
/home/markussagen/datasets/src/datasets/formatting/formatting.py:197: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
(isinstance(x, np.ndarray) and (x.dtype == np.object or x.shape != array[0].shape))
tests/test_arrow_dataset.py: 154 warnings
tests/features/test_array_xd.py: 1 warning
/home/markussagen/datasets/src/datasets/formatting/formatting.py:201: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
return np.array(array, copy=False, **{**self.np_array_kwargs, "dtype": np.object})
tests/test_arrow_dataset.py: 60 warnings
/home/markussagen/datasets/src/datasets/arrow_dataset.py:3105: DeprecationWarning: `np.str` is a deprecated alias for the builtin `str`. To silence this warning, use `str` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.str_` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
elif np.issubdtype(values.dtype, np.str):
tests/test_arrow_dataset.py: 138 warnings
tests/test_formatting.py: 21 warnings
/home/markussagen/datasets/src/datasets/formatting/tf_formatter.py:69: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
data_struct.dtype == np.object
tests/test_arrow_dataset.py: 240 warnings
tests/test_formatting.py: 20 warnings
/home/markussagen/datasets/src/datasets/formatting/torch_formatter.py:49: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
if data_struct.dtype == np.object: # pytorch tensors cannot be instantied from an array of objects
tests/test_arrow_dataset.py: 12 warnings
tests/test_search.py: 2 warnings
tests/features/test_array_xd.py: 6 warnings
tests/features/test_image.py: 4 warnings
/home/markussagen/datasets/src/datasets/features/features.py:1129: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
[0] + [len(arr) for arr in l_arr], dtype=np.object
tests/test_dataset_common.py::LocalDatasetTest::test_builder_class_banking77
/tmp/pytest-of-markussagen/pytest-1/cache/modules/datasets_modules/datasets/banking77/aec0289529599d4572d76ab00c8944cb84f88410ad0c9e7da26189d31f62a55b/banking77.py:24: DeprecationWarning: invalid escape sequence \~
_CITATION = """\
tests/test_dataset_common.py::LocalDatasetTest::test_builder_class_universal_dependencies
/tmp/pytest-of-markussagen/pytest-1/cache/modules/datasets_modules/datasets/universal_dependencies/065e728dfe9a8371434a6e87132c2386a6eacab1a076d3a12aa417b994e6ef7d/universal_dependencies.py:6: DeprecationWarning: invalid escape sequence \=
_CITATION = """\
tests/test_filesystem.py: 105 warnings
/home/markussagen/.pyenv/versions/3.8.5/envs/huggingface/lib/python3.8/site-packages/responses/__init__.py:398: DeprecationWarning: stream argument is deprecated. Use stream parameter in request directly
warn(
tests/test_formatting.py::FormatterTest::test_jax_formatter
tests/test_formatting.py::FormatterTest::test_jax_formatter
tests/test_formatting.py::FormatterTest::test_jax_formatter
tests/test_formatting.py::FormatterTest::test_jax_formatter
tests/test_formatting.py::FormatterTest::test_jax_formatter_np_array_kwargs
tests/test_formatting.py::FormatterTest::test_jax_formatter_np_array_kwargs
tests/test_formatting.py::FormatterTest::test_jax_formatter_np_array_kwargs
tests/test_formatting.py::FormatterTest::test_jax_formatter_np_array_kwargs
/home/markussagen/datasets/src/datasets/formatting/jax_formatter.py:57: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
if data_struct.dtype == np.object: # jax arrays cannot be instantied from an array of objects
tests/test_formatting.py::FormatterTest::test_jax_formatter
tests/test_formatting.py::FormatterTest::test_jax_formatter
tests/test_formatting.py::FormatterTest::test_jax_formatter
/home/markussagen/.pyenv/versions/3.8.5/envs/huggingface/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py:3567: UserWarning: Explicitly requested dtype <class 'jax._src.numpy.lax_numpy.int64'> requested in array is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.
lax._check_user_dtype_supported(dtype, "array")
tests/test_metric_common.py::LocalMetricTest::test_load_metric_frugalscore
/home/markussagen/.pyenv/versions/3.8.5/envs/huggingface/lib/python3.8/site-packages/apscheduler/util.py:95: PytzUsageWarning: The zone attribute is specific to pytz's interface; please migrate to a new time zone provider. For more details on how to do so, see https://pytz-deprecation-shim.readthedocs.io/en/latest/migration.html
if obj.zone == 'local':
tests/test_upstream_hub.py::TestPushToHub::test_push_dataset_to_hub_custom_features
_audio
/home/markussagen/.pyenv/versions/3.8.5/envs/huggingface/lib/python3.8/site-packages/librosa/core/constantq.py:1059: DeprecationWarning: `np.complex` is a deprecated alias for the builtin `complex`. To silence this warning, use `complex` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.complex128` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
dtype=np.complex,
tests/features/test_array_xd.py::test_array_xd_with_none
/home/markussagen/mydataset/tests/features/test_array_xd.py:338: DeprecationWarning: `np.object` is a deprecated alias for the builtin `object`. To silence this warning, use `object` by itself. Doing this will not modify any behavior and is safe.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
assert isinstance(arr, np.ndarray) and arr.dtype == np.object and arr.shape == (3,)
-- Docs: https://docs.pytest.org/en/stable/warnings.html
============================= short test summary info =============================
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_bleurt - I...
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_chrf - Att...
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_code_eval
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_comet - Im...
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_competition_math
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_coval - Im...
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_frugalscore
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_perplexity
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_ter - Type...
```
## Environment info
- `datasets` version: 2.0.1.dev0
- Platform: Linux-5.16.11-76051611-generic-x86_64-with-glibc2.33
- Python version: 3.8.5
- PyArrow version: 5.0.0
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https://api.github.com/repos/huggingface/datasets/issues/3983 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3983/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3983/comments | https://api.github.com/repos/huggingface/datasets/issues/3983/events | https://github.com/huggingface/datasets/issues/3983 | 1,175,759,412 | I_kwDODunzps5GFKo0 | 3,983 | Infinitely attempting lock | {
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"Hi ! Thanks for reporting. We're using `py-filelock` as our locking mechanism.\r\n\r\nCan you try deleting the .lock file mentioned in the logs and try again ? Make sure that no other process is generating the `cnn_dailymail` dataset.\r\n\r\nIf it doesn't work, could you try to set up a lock using the latest vers... | 2022-03-21T18:11:57 | 2022-05-06T16:12:18 | 2022-05-06T16:12:18 | NONE | null | null | null | I am trying to run one of the examples of the `transformers` repo, which makes use of `datasets`.
Important to note is that I am trying to run this via a Databricks notebook, and all the files reside in the Databricks Filesystem (DBFS).
```
%sh
python /dbfs/transformers/examples/pytorch/summarization/run_summarization.py \
--model_name_or_path t5-small \
--do_train \
--do_eval \
--dataset_name cnn_dailymail \
--dataset_config "3.0.0" \
--source_prefix "summarize: " \
--output_dir /dbfs/transformers/tmp/tst-summarization \
--per_device_train_batch_size=4 \
--per_device_eval_batch_size=4 \
--overwrite_output_dir \
--predict_with_generate \
--log_level debug \
--cache_dir /dbfs/transformers/cache
```
All goes well until acquiring a lock --
```
03/21/2022 17:53:19 - DEBUG - datasets.utils.filelock - Attempting to acquire lock 140386484514192 on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock
03/21/2022 17:53:19 - DEBUG - datasets.utils.filelock - Lock 140386484514192 not acquired on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock, waiting 0.05 seconds ...
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Attempting to acquire lock 140386484514192 on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Lock 140386484514192 not acquired on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock, waiting 0.05 seconds ...
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Attempting to acquire lock 140386484514192 on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Lock 140386484514192 not acquired on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock, waiting 0.05 seconds ...
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Attempting to acquire lock 140386484514192 on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Lock 140386484514192 not acquired on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock, waiting 0.05 seconds ...
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Attempting to acquire lock 140386484514192 on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Lock 140386484514192 not acquired on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock, waiting 0.05 seconds ...
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Attempting to acquire lock 140386484514192 on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock
03/21/2022 17:53:20 - DEBUG - datasets.utils.filelock - Lock 140386484514192 not acquired on /dbfs/transformers/cache/_dbfs_transformers_cache_cnn_dailymail_3.0.0_3.0.0_3cb851bf7cf5826e45d49db2863f627cba583cbc32342df7349dfe6c38060234.lock, waiting 0.05 seconds ...
```
and so on.
I imagine this has to do with DBFS -- is there a way to tackle this? | {
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https://api.github.com/repos/huggingface/datasets/issues/3982 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3982/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3982/comments | https://api.github.com/repos/huggingface/datasets/issues/3982/events | https://github.com/huggingface/datasets/pull/3982 | 1,175,478,099 | PR_kwDODunzps40vrR_ | 3,982 | Exclude Google Drive tests of the CI | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I was thinking exactly the same: running unit tests that request continuously a third-party API is not a good idea."
] | 2022-03-21T14:34:16 | 2022-03-31T16:38:02 | 2022-03-21T14:51:35 | MEMBER | null | false | {
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} | These tests make the CI spam the Google Drive API, the CI now gets banned by Google Drive very often.
I think we can just skip these tests from the CI for now.
In the future we could have a CI job that runs only once a day or once a week for such cases
cc @albertvillanova @mariosasko @severo
Close #3415
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https://api.github.com/repos/huggingface/datasets/issues/3981 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3981/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3981/comments | https://api.github.com/repos/huggingface/datasets/issues/3981/events | https://github.com/huggingface/datasets/pull/3981 | 1,175,423,517 | PR_kwDODunzps40vfra | 3,981 | Add TER metric card | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-21T13:54:36 | 2022-03-29T13:57:11 | 2022-03-29T13:51:40 | CONTRIBUTOR | null | false | {
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} | Add TER metric card
This card is still missing content for the following sections:
- **Limitations & Biases**
- **Values from Papers**
If anyone has any ideas for either of the above, feel free to either add them or point me to them and I'll add them! | {
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https://api.github.com/repos/huggingface/datasets/issues/3980 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3980/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3980/comments | https://api.github.com/repos/huggingface/datasets/issues/3980/events | https://github.com/huggingface/datasets/pull/3980 | 1,175,412,905 | PR_kwDODunzps40vdcH | 3,980 | Add tip on how to speed up loading with ImageFolder | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks for adding that tip! 👍 \r\n\r\nFor the docs syntax, it might be better if we hide the package name/full path to the class or function and only show the name of it. I think it's easier for users to read the function name (eg,`... | 2022-03-21T13:45:58 | 2022-03-22T13:39:45 | 2022-03-22T13:34:56 | CONTRIBUTOR | null | false | {
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} | This PR does two things:
* adds a tip on how to speed up loading of a large number of files with ImageFolder (motivated by [this issue](https://github.com/huggingface/datasets/issues/3960))
* replaces the current references to the `Dataset` methods in the Image Processing doc with their fully qualified counterparts (to align it with the Audio Processing doc)
cc @stevhliu | {
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https://api.github.com/repos/huggingface/datasets/issues/3979 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3979/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3979/comments | https://api.github.com/repos/huggingface/datasets/issues/3979/events | https://github.com/huggingface/datasets/pull/3979 | 1,175,258,969 | PR_kwDODunzps40u8NY | 3,979 | Fix google drive streaming for small files | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Actually the CI fails because of this\r\n\r\n\r\nIt looks like we can't have a proper way to test google drive in the CI r... | 2022-03-21T11:38:46 | 2023-09-24T09:55:19 | 2022-03-21T14:25:58 | MEMBER | null | false | {
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} | Google drive did another change recently, following #3787 #3843 .
In particular Google Drive now returns 403 for GET requests with `confirm=t` when a files doesn't have a virus warning message. I fixed this by passing `confirm=t` if and only if when there is one (i.e. when status code is 200 for HEAD) | {
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https://api.github.com/repos/huggingface/datasets/issues/3978 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3978/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3978/comments | https://api.github.com/repos/huggingface/datasets/issues/3978/events | https://github.com/huggingface/datasets/issues/3978 | 1,175,226,456 | I_kwDODunzps5GDIhY | 3,978 | I can't view HFcallback dataset for ASR Space | {
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"the dataset viewer is working on this dataset. I imagine the issue is that we would expect to be able to listen to the audio files in the `Please Record Your Voice file` column, right?\r\n\r\nmaybe @lhoestq or @albertvillanova could help\r\n\r\n<img width=\"1019\" alt=\"Capture d’écran 2022-03-24 à 17 36 20\" sr... | 2022-03-21T11:07:49 | 2023-09-25T12:19:53 | null | NONE | null | null | null | ## Dataset viewer issue for '*Urdu-ASR-flags*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/kingabzpro/Urdu-ASR-flags)*
*I think dataset should show some thing and if you want me to add script, please show me the documentation. I thought this was suppose to be automatic task.*
Am I the one who added this dataset ? Yes
| {
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https://api.github.com/repos/huggingface/datasets/issues/3977 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3977/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3977/comments | https://api.github.com/repos/huggingface/datasets/issues/3977/events | https://github.com/huggingface/datasets/issues/3977 | 1,175,049,927 | I_kwDODunzps5GCdbH | 3,977 | Adapt `docs/README.md` for datasets | {
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"Thanks for reporting @qqaatw.\r\n\r\nYes, we should definitely adapt that file for `datasets`. "
] | 2022-03-21T08:26:49 | 2023-02-27T10:32:37 | 2023-02-27T10:32:37 | CONTRIBUTOR | null | null | null | ## Describe the bug
Currently `docs/README.md` is a direct copy from `transformers`, we should probably adapt this file for `datasets`. | {
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https://api.github.com/repos/huggingface/datasets/issues/3976 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3976/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3976/comments | https://api.github.com/repos/huggingface/datasets/issues/3976/events | https://github.com/huggingface/datasets/pull/3976 | 1,175,043,780 | PR_kwDODunzps40uOY6 | 3,976 | Fix main classes reference in docs | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3976). All of your documentation changes will be reflected on that endpoint.",
"Not sure why some section titles end with `[[datasets.xxx]]`, like this: https://moon-ci-docs.huggingface.co/docs/datasets/pr_3976/en/package_refer... | 2022-03-21T08:19:46 | 2022-04-12T14:19:39 | 2022-04-12T14:19:38 | CONTRIBUTOR | null | false | {
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} | Currently the section index (on the page's right side) of the [main classes reference](https://huggingface.co/docs/datasets/master/en/package_reference/main_classes) incorrectly displays `Tensor returned:`, this PR fixes this issue by wrapping code examples in this page with markdown code block.
There are other examples in datasets library having this issue. | {
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https://api.github.com/repos/huggingface/datasets/issues/3975 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3975/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3975/comments | https://api.github.com/repos/huggingface/datasets/issues/3975/events | https://github.com/huggingface/datasets/pull/3975 | 1,174,678,942 | PR_kwDODunzps40tKdS | 3,975 | Update many missing tags to dataset README's | {
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} | I've started to go through the datasets available and noticed that there are 127 datasets that does not have all the tags so I started filling them in; starting with some of the most common and QA datasets
Not 100% certain that the task_id is correct for SuperGLUE
If anyone is browsing the issues and would like to help make Hugging face datasets even more feature complete and awesome, feel free to use this tool I wrote to find the missing tags in the [datacards](https://github.com/Hugging-Face-Supporter/datacards) | {
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https://api.github.com/repos/huggingface/datasets/issues/3974 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3974/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3974/comments | https://api.github.com/repos/huggingface/datasets/issues/3974/events | https://github.com/huggingface/datasets/pull/3974 | 1,174,485,044 | PR_kwDODunzps40ssrA | 3,974 | Add XFUN dataset | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Not sure how to generate dummy data.\r\n\r\nThe downloaded file structure is \r\n\r\n- document file paths\r\n - (a json file containing all documents info, document images folder)\r\n - (a json file containing all documents in... | 2022-03-20T09:24:54 | 2022-10-03T09:38:16 | 2022-10-03T09:36:22 | CONTRIBUTOR | null | false | {
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} | This PR adds XFUN dataset.
Home page and repository: https://github.com/doc-analysis/XFUND
Source code: https://github.com/microsoft/unilm/blob/master/layoutlmft/layoutlmft/data/datasets/xfun.py | {
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https://api.github.com/repos/huggingface/datasets/issues/3973 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3973/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3973/comments | https://api.github.com/repos/huggingface/datasets/issues/3973/events | https://github.com/huggingface/datasets/issues/3973 | 1,174,455,431 | I_kwDODunzps5GAMSH | 3,973 | ConnectionError and SSLError | {
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"Hi ! You can download the `oscar.py` file from this repository at `/datasets/oscar/oscar.py`.\r\n\r\nThen you can load the dataset by passing the local path to `oscar.py` to `load_dataset`:\r\n```python\r\nload_dataset(\"path/to/oscar.py\", \"unshuffled_deduplicated_it\")\r\n```",
"it works,but another error occ... | 2022-03-20T06:45:37 | 2022-03-30T08:13:32 | 2022-03-30T08:13:32 | NONE | null | null | null | code
```
from datasets import load_dataset
dataset = load_dataset('oscar', 'unshuffled_deduplicated_it')
```
bug report
```
---------------------------------------------------------------------------
ConnectionError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_29788/2615425180.py in <module>
----> 1 dataset = load_dataset('oscar', 'unshuffled_deduplicated_it')
D:\DataScience\PythonSet\IDES\anaconda\lib\site-packages\datasets\load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, revision, use_auth_token, task, streaming, **config_kwargs)
1658
1659 # Create a dataset builder
-> 1660 builder_instance = load_dataset_builder(
1661 path=path,
1662 name=name,
D:\DataScience\PythonSet\IDES\anaconda\lib\site-packages\datasets\load.py in load_dataset_builder(path, name, data_dir, data_files, cache_dir, features, download_config, download_mode, revision, use_auth_token, **config_kwargs)
1484 download_config = download_config.copy() if download_config else DownloadConfig()
1485 download_config.use_auth_token = use_auth_token
-> 1486 dataset_module = dataset_module_factory(
1487 path,
1488 revision=revision,
D:\DataScience\PythonSet\IDES\anaconda\lib\site-packages\datasets\load.py in dataset_module_factory(path, revision, download_config, download_mode, force_local_path, dynamic_modules_path, data_dir, data_files, **download_kwargs)
1236 f"Couldn't find '{path}' on the Hugging Face Hub either: {type(e1).__name__}: {e1}"
1237 ) from None
-> 1238 raise e1 from None
1239 else:
1240 raise FileNotFoundError(
D:\DataScience\PythonSet\IDES\anaconda\lib\site-packages\datasets\load.py in dataset_module_factory(path, revision, download_config, download_mode, force_local_path, dynamic_modules_path, data_dir, data_files, **download_kwargs)
1173 if path.count("/") == 0: # even though the dataset is on the Hub, we get it from GitHub for now
1174 # TODO(QL): use a Hub dataset module factory instead of GitHub
-> 1175 return GithubDatasetModuleFactory(
1176 path,
1177 revision=revision,
D:\DataScience\PythonSet\IDES\anaconda\lib\site-packages\datasets\load.py in get_module(self)
531 revision = self.revision
532 try:
--> 533 local_path = self.download_loading_script(revision)
534 except FileNotFoundError:
535 if revision is not None or os.getenv("HF_SCRIPTS_VERSION", None) is not None:
D:\DataScience\PythonSet\IDES\anaconda\lib\site-packages\datasets\load.py in download_loading_script(self, revision)
511 if download_config.download_desc is None:
512 download_config.download_desc = "Downloading builder script"
--> 513 return cached_path(file_path, download_config=download_config)
514
515 def download_dataset_infos_file(self, revision: Optional[str]) -> str:
D:\DataScience\PythonSet\IDES\anaconda\lib\site-packages\datasets\utils\file_utils.py in cached_path(url_or_filename, download_config, **download_kwargs)
232 if is_remote_url(url_or_filename):
233 # URL, so get it from the cache (downloading if necessary)
--> 234 output_path = get_from_cache(
235 url_or_filename,
236 cache_dir=cache_dir,
D:\DataScience\PythonSet\IDES\anaconda\lib\site-packages\datasets\utils\file_utils.py in get_from_cache(url, cache_dir, force_download, proxies, etag_timeout, resume_download, user_agent, local_files_only, use_etag, max_retries, use_auth_token, ignore_url_params, download_desc)
580 _raise_if_offline_mode_is_enabled(f"Tried to reach {url}")
581 if head_error is not None:
--> 582 raise ConnectionError(f"Couldn't reach {url} ({repr(head_error)})")
583 elif response is not None:
584 raise ConnectionError(f"Couldn't reach {url} (error {response.status_code})")
ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/2.0.0/datasets/oscar/oscar.py (SSLError(MaxRetryError("HTTPSConnectionPool(host='raw.githubusercontent.com', port=443): Max retries exceeded with url: /huggingface/datasets/2.0.0/datasets/oscar/oscar.py (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:1129)')))")))
```
It may be caused by Caused by SSLError(in China?) because it works well on google colab.
So how can I download this dataset manually?
| {
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https://api.github.com/repos/huggingface/datasets/issues/3972 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3972/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3972/comments | https://api.github.com/repos/huggingface/datasets/issues/3972/events | https://github.com/huggingface/datasets/pull/3972 | 1,174,402,033 | PR_kwDODunzps40sdVu | 3,972 | Adding Roman Urdu Hate Speech dataset | {
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"@lhoestq can you review when you have some time? Also were the previous CI fails due to the Google Drive tests which were excluded by #3982 ?",
"> were the previous CI fails due to the Google Drive tests which were excluded by https://github.com/huggingface/datasets/pull/3982 ?\r\n\r\nYes exactly, merging `maste... | 2022-03-20T00:19:26 | 2022-03-25T15:56:19 | 2022-03-25T15:51:20 | CONTRIBUTOR | null | false | {
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} | This Pull request will add the Roman Urdu Hate speech Dataset. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-19T18:43:42 | 2022-04-12T14:48:23 | 2022-04-12T14:41:58 | CONTRIBUTOR | null | false | {
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} | Updated search.py to resolve the issue mentioned in https://github.com/huggingface/datasets/issues/3961.
Applied index-filters on scores in get_nearest_examples and get_nearest_examples_batch methods of search.py. | {
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https://api.github.com/repos/huggingface/datasets/issues/3970 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3970/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3970/comments | https://api.github.com/repos/huggingface/datasets/issues/3970/events | https://github.com/huggingface/datasets/pull/3970 | 1,174,327,367 | PR_kwDODunzps40sSfx | 3,970 | Apply index-filters on scores in get_nearest_examples and get_nearest… | {
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Applied index-filters on scores in get_nearest_examples and get_nearest_examples_batch methods of search.py. | {
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"I guess the cache got corrupted due to a previous issue with Google Drive service.\r\n\r\nThe cache should be regenerated, e.g. by passing `download_mode=\"force_redownload\"`.\r\n\r\nCC: @severo ",
"Note that the dataset preview uses its own cache, not `datasets`' cache. So `download_mode=\"force_redownload\"` ... | 2022-03-19T14:08:57 | 2022-04-20T15:52:49 | 2022-04-20T15:52:49 | NONE | null | null | null | ## Dataset viewer issue for '*cnn_dailymail*'
**Link:** https://huggingface.co/datasets/cnn_dailymail
*short description of the issue*
Am I the one who added this dataset ? Yes-No
| {
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https://api.github.com/repos/huggingface/datasets/issues/3968 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3968/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3968/comments | https://api.github.com/repos/huggingface/datasets/issues/3968/events | https://github.com/huggingface/datasets/issues/3968 | 1,174,193,962 | I_kwDODunzps5F_Mcq | 3,968 | Cannot preview 'indonesian-nlp/eli5_id' dataset | {
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"Hi @cahya-wirawan, thanks for reporting.\r\n\r\nYour dataset is working OK in streaming mode:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n ...: ds = load_dataset(\"indonesian-nlp/eli5_id\", split=\"train\", streaming=True)\r\n ...: item = next(iter(ds))\r\n ...: item\r\nUsing custom data con... | 2022-03-19T06:54:09 | 2022-03-24T16:34:24 | 2022-03-24T16:34:24 | CONTRIBUTOR | null | null | null | ## Dataset viewer issue for '*indonesian-nlp/eli5_id*'
**Link:** https://huggingface.co/datasets/indonesian-nlp/eli5_id
I can not see the dataset preview.
```
Server Error
Status code: 400
Exception: Status400Error
Message: Not found. Maybe the cache is missing, or maybe the dataset does not exist.
```
Am I the one who added this dataset ? Yes
| {
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https://api.github.com/repos/huggingface/datasets/issues/3967 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3967/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3967/comments | https://api.github.com/repos/huggingface/datasets/issues/3967/events | https://github.com/huggingface/datasets/pull/3967 | 1,174,107,128 | PR_kwDODunzps40rpny | 3,967 | [feat] Add TextVQA dataset | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Hey :) Have you had a chance to continue this PR ? Let me know if you have questions or if I can help",
"Hey @lhoestq, let me wrap this up soon. I will resolve your comments in next push."
] | 2022-03-18T23:29:39 | 2022-05-05T06:51:31 | 2022-05-05T06:44:29 | CONTRIBUTOR | null | false | {
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} | This would be the first classification-based vision-and-language dataset in the datasets library.
Currently, the dataset downloads everything you need beforehand. See the [paper](https://arxiv.org/abs/1904.08920) for more details.
Test Plan:
- Ran the full and the dummy data test locally | {
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https://api.github.com/repos/huggingface/datasets/issues/3966 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3966/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3966/comments | https://api.github.com/repos/huggingface/datasets/issues/3966/events | https://github.com/huggingface/datasets/pull/3966 | 1,173,883,084 | PR_kwDODunzps40rBNE | 3,966 | Create metric card for BERTScore | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-18T18:21:56 | 2022-03-22T13:35:28 | 2022-03-22T13:30:56 | NONE | null | false | {
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} | Proposing a metric card for BERTScore | {
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https://api.github.com/repos/huggingface/datasets/issues/3965 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3965/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3965/comments | https://api.github.com/repos/huggingface/datasets/issues/3965/events | https://github.com/huggingface/datasets/issues/3965 | 1,173,708,739 | I_kwDODunzps5F9V_D | 3,965 | TypeError: Couldn't cast array of type for JSONLines dataset | {
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"Hi @lewtun, thanks for reporting.\r\n\r\nIt seems that our library fails at inferring the dtype of the columns:\r\n- `milestone`\r\n- `performed_via_github_app` \r\n\r\n(and assigns them `null` dtype)."
] | 2022-03-18T15:17:53 | 2022-05-06T16:13:51 | 2022-05-06T16:13:51 | MEMBER | null | null | null | ## Describe the bug
One of the [course participants](https://discuss.huggingface.co/t/chapter-5-questions/11744/20?u=lewtun) is having trouble loading a JSONLines dataset that's composed of the GitHub issues from `spacy` (see stack trace below).
This reminds me a bit of #2799 where one can load the dataset in `pandas` but not in `datasets` and perhaps increasing the `block_size` is needed again.
## Steps to reproduce the bug
```python
from datasets import load_dataset
from huggingface_hub import hf_hub_url
import pandas as pd
# returns 'https://huggingface.co/datasets/Evan/spaCy-github-issues/resolve/main/spacy-issues.jsonl'
data_files = hf_hub_url(repo_id="Evan/spaCy-github-issues", filename="spacy-issues.jsonl", repo_type="dataset")
# throws TypeError: Couldn't cast array of type
dset = load_dataset("json", data_files=data_files, split="test")
# no problem with pandas - note this take a while as the file is >2GB
df = pd.read_json(data_files, orient="records", lines=True)
df.head()
```
## Expected results
I can load any line-separated JSON file, similar to pandas.
## Actual results
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/load.py", line 1702, in load_dataset
builder_instance.download_and_prepare(
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/builder.py", line 594, in download_and_prepare
self._download_and_prepare(
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/builder.py", line 683, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/builder.py", line 1136, in _prepare_split
writer.write_table(table)
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/arrow_writer.py", line 511, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 1121, in table_cast
return cast_table_to_features(table, Features.from_arrow_schema(schema))
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 1102, in cast_table_to_features
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 1102, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 944, in wrapper
return func(array, *args, **kwargs)
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 918, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 918, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 1086, in cast_array_to_feature
return array_cast(array, feature(), allow_number_to_str=allow_number_to_str)
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 944, in wrapper
return func(array, *args, **kwargs)
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 920, in wrapper
return func(array, *args, **kwargs)
File "/Users/lewtun/miniconda3/envs/hf/lib/python3.9/site-packages/datasets/table.py", line 1019, in array_cast
raise TypeError(f"Couldn't cast array of type\n{array.type}\nto\n{pa_type}")
TypeError: Couldn't cast array of type
struct<url: string, html_url: string, labels_url: string, id: int64, node_id: string, number: int64, title: string, description: string, creator: struct<login: string, id: int64, node_id: string, avatar_url: string, gravatar_id: string, url: string, html_url: string, followers_url: string, following_url: string, gists_url: string, starred_url: string, subscriptions_url: string, organizations_url: string, repos_url: string, events_url: string, received_events_url: string, type: string, site_admin: bool>, open_issues: int64, closed_issues: int64, state: string, created_at: timestamp[s], updated_at: timestamp[s], due_on: null, closed_at: timestamp[s]>
to
null
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.0
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.9.7
- PyArrow version: 7.0.0
- Pandas version: 1.4.1
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https://api.github.com/repos/huggingface/datasets/issues/3964 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3964/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3964/comments | https://api.github.com/repos/huggingface/datasets/issues/3964/events | https://github.com/huggingface/datasets/issues/3964 | 1,173,564,993 | I_kwDODunzps5F8y5B | 3,964 | Add default Audio Loader | {
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"followers_url": "... | [] | 2022-03-18T12:58:55 | 2022-08-22T14:20:46 | 2022-08-22T14:20:46 | CONTRIBUTOR | null | null | null | **Is your feature request related to a problem? Please describe.**
Writing a custom loading dataset script might be a bit challenging for users.
**Describe the solution you'd like**
Add default Audio loader (analogous to ImageFolder) for small datasets with standard directory structure.
**Describe alternatives you've considered**
Create a custom loading script? that's what users doing now.
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https://api.github.com/repos/huggingface/datasets/issues/3963 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3963/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3963/comments | https://api.github.com/repos/huggingface/datasets/issues/3963/events | https://github.com/huggingface/datasets/pull/3963 | 1,173,492,562 | PR_kwDODunzps40puyZ | 3,963 | Add Audio Folder | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3963). All of your documentation changes will be reflected on that endpoint.",
"Feel free to merge `master` into this branch to fix the CI errors related to Google Drive :)\r\n\r\nI think we can just remove the test that is bas... | 2022-03-18T11:40:09 | 2022-06-15T16:33:19 | 2022-06-15T16:33:19 | CONTRIBUTOR | null | true | {
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} | Would resolve #3964
AudioFolder loads a .txt file with transcriptions and creates a dataset with all audiofiles in provided directory that has a transcription (independently of the directory structure) as a single split (train).
Can be loaded via:
```python
# for local dirs
dataset = load_dataset("audiofolder", data_dir="/path/to/folder", transcripts_filename="transcripts.txt")
```
```python
# for local and remote zip archives
dataset = load_dataset("audiofolder", data_files="path/to/archive/archive.zip", transcripts_filename="transcripts.txt")
```
default transcriptions filename is `transcripts.txt`. it should have the following structure:
```
audio_id_1 transcription text 1
audio_id_1 transcription text 1
```
separator is `\t`!
---
sorry for first old commits from other branch, don't know how that happened... | {
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https://api.github.com/repos/huggingface/datasets/issues/3962 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3962/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3962/comments | https://api.github.com/repos/huggingface/datasets/issues/3962/events | https://github.com/huggingface/datasets/pull/3962 | 1,173,482,291 | PR_kwDODunzps40psq2 | 3,962 | Fix flatten of Sequence feature type | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-18T11:27:42 | 2022-03-21T14:40:47 | 2022-03-21T14:36:12 | MEMBER | null | false | {
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} | The `Sequence` features type is not correctly flattened if it contains a dictionary. This PR fixes this, and I added a test case for this.
Close https://github.com/huggingface/datasets/issues/3795 | {
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https://api.github.com/repos/huggingface/datasets/issues/3961 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3961/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3961/comments | https://api.github.com/repos/huggingface/datasets/issues/3961/events | https://github.com/huggingface/datasets/issues/3961 | 1,173,223,086 | I_kwDODunzps5F7fau | 3,961 | Scores from Index at extra positions are not filtered out | {
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"Hi! Yes, that makes sense! Would you like to submit a PR to fix this?",
"Created PR https://github.com/huggingface/datasets/pull/3971"
] | 2022-03-18T06:13:23 | 2022-04-12T14:41:58 | 2022-04-12T14:41:58 | CONTRIBUTOR | null | null | null | If a FAISS index has fewer records than the requested number of top results (k), then it returns -1 in indices for the additional positions. The get_nearest_examples method only filters out the extra results from the dataset samples. It would be better to filter out extra scores too.
Reference: https://github.com/huggingface/datasets/blob/2.0.0/src/datasets/search.py#L693
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https://api.github.com/repos/huggingface/datasets/issues/3960 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3960/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3960/comments | https://api.github.com/repos/huggingface/datasets/issues/3960/events | https://github.com/huggingface/datasets/issues/3960 | 1,173,148,884 | I_kwDODunzps5F7NTU | 3,960 | Load local dataset error | {
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"Hi! Instead of @nateraw's `image-folder`, I suggest using the newly released `imagefolder` dataset:\r\n```python\r\n>>> from datasets import load_dataset\r\n>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train/**'], 'validation': ['/ssd/datasets/imagenet/pytorch/val/**']}\r\n>>> ds = load_dataset('image... | 2022-03-18T03:32:49 | 2023-08-02T17:12:20 | null | NONE | null | null | null | When i used the datasets==1.11.0， it's all right. Util update the latest version, it get the error like this:
```
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/datasets/imagenet/pytorch/val']}
>>> ds = load_dataset('nateraw/image-folder', data_files=data_files, cache_dir='./', task='image-classification')
[] https://huggingface.co/datasets/nateraw/image-folder/resolve/main/ /dat/txacs/git/txacs/examples/image-classification/https:/huggingface.co/datasets/nateraw/image-folder/resolve/main
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/load.py", line 1671, in load_dataset
**config_kwargs,
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/load.py", line 1521, in load_dataset_builder
**config_kwargs,
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/builder.py", line 1031, in __init__
super().__init__(*args, **kwargs)
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/builder.py", line 255, in __init__
sanitize_patterns(data_files), base_path=base_path, use_auth_token=use_auth_token
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/data_files.py", line 584, in from_local_or_remote
if not isinstance(patterns_for_key, DataFilesList)
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/data_files.py", line 546, in from_local_or_remote
data_files = resolve_patterns_locally_or_by_urls(base_path, patterns, allowed_extensions)
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/data_files.py", line 196, in resolve_patterns_locally_or_by_urls
for path in _resolve_single_pattern_locally(base_path, pattern, allowed_extensions):
File "/gf3/home/txacs/gv3/anaconda3/envs/txacs/lib/python3.6/site-packages/datasets/data_files.py", line 146, in _resolve_single_pattern_locally
raise FileNotFoundError(error_msg)
FileNotFoundError: Unable to find '/ssd/datasets/imagenet/pytorch/train' at /dat/txacs/git/txacs/examples/image-classification/https:/huggingface.co/datasets/nateraw/image-folder/resolve/main
```
I need some help to solve the problem, thanks! | {
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https://api.github.com/repos/huggingface/datasets/issues/3959 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3959/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3959/comments | https://api.github.com/repos/huggingface/datasets/issues/3959/events | https://github.com/huggingface/datasets/issues/3959 | 1,172,872,695 | I_kwDODunzps5F6J33 | 3,959 | Medium-sized dataset conversion from pandas causes a crash | {
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"Hi ! It looks like an issue with pyarrow, could you try updating pyarrow and try again ?",
"@albertvillanova did you find a solution to this?",
"I´m getting the same problem with some files, @albertvillanova did you find a solution to this?"
] | 2022-03-17T20:20:35 | 2022-12-12T17:14:06 | 2022-04-20T12:35:37 | NONE | null | null | null | Hi, I am suffering from the following issue:
## Describe the bug
Conversion to arrow dataset from pandas dataframe of a certain size deterministically causes the following crash:
```
File "/home/datasets_crash.py", line 7, in <module>
arrow=datasets.Dataset.from_pandas(d)
File "/home/.conda/envs/tools/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 783, in from_pandas
table = InMemoryTable.from_pandas(
File "/home/.conda/envs/tools/lib/python3.9/site-packages/datasets/table.py", line 379, in from_pandas
return cls(pa.Table.from_pandas(*args, **kwargs))
File "pyarrow/table.pxi", line 1487, in pyarrow.lib.Table.from_pandas
File "pyarrow/table.pxi", line 1532, in pyarrow.lib.Table.from_arrays
File "pyarrow/table.pxi", line 1181, in pyarrow.lib.Table.validate
File "pyarrow/error.pxi", line 84, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: List child array invalid: Invalid: Struct child array #1 has length smaller than expected for struct array (1192457 < 1192458)
```
## Steps to reproduce the bug
I have a dataset made from replicated single example mocking a dict representation of a publication.
I copy over this example 140k times and create a pandas frame.
I use 'Dataset.from_pandas' and boom
```python
# Sample code to reproduce the bug
import copy
import datasets
import pandas
# serialized dict is quite long to be realistic representation of a publication content
paper_as_dict=eval("{'article_id': '2020-11-05T14:25:05.321Z02bc3286-91b7-486a-9c74-4f457fbc586a', 'sections': [{'section_id': 'body.0', 'paragraphs': [{'sentences': ['11010111001000000011010011110011101110111011000100001010011100101001111010110111101011101111101010101110001111011110111010111', '1101100110110010010101010100110011000111001100100000011100010111010000011100001101111000000011010111001111001010101111110011010010111011000110100110010', '101011011000010100000010011001011011000000110011011110000101001110110000010001100110111100011100110101010010110000101', '1101101110101010101000000010101011111001111000101000110001110100111000100000011001110100110000110100111011001010110011101001001110']}]}, {'section_id': 'body.1', 'paragraphs': [{'sentences': ['11111100100100111000101001011110100110011001011011001001100110100111011010000110011000010001010100101110001001101011110111110101111100001001001000011110110010110011100110110111110011100011111000101010111010101011001110000100000001001010010010011101111100011010', '10101000110000110111110011101111000101010010001001010000001111001100000010001000001110111110010011101000000111011', '111010011111101111110011111110110001000111100101001000100110101111110000111000111111110000101001101000110011010111011101001010110110001000100000001110001111100110110001110001001100011010100110100010100111000110110100010010100101011110000110000101010010001110101100000']}, {'sentences': ['111110011110110110001111001101011110010110100011101010110101011001101110110111100000111101010110011110111101001111000101110001001010010101100111111001001000011101000100110000101', 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'0010011111111011100111010001111001011101001010000010110000010111000101001101000011101110100100000000100100010010101010100011100101001000100110110000010111111110000011011101111000111010']}]}, {'section_id': 'body.2.0', 'paragraphs': [{'sentences': ['110010010011001110100100011001111100010011110111101011011011001010010010010011101011', '000110101110011011101011000000100011111000001100011011110101101011000110011010001010001101101100000111100101001011111001001101111', '1000011100100000100100100010010000111011000100110010000011110111100110110001101001010100011111010100101000111', '11110111111000110010000000000100010010110001100010001010000111011000101100011010010101110110011010110101001101110011101011101100000001000100101011010110110100101011101010010101101000011110000010101011001011000001000000001010110000100010000100011110101001111100001000100000111000001010011111111110101010100011011000010000111000110', 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[{'sentences': ['1110101100001100011000101000010000100010101101010110101011100101110110110111010101001100100000000111011001000100011110101011111010100101001010000010001001101010100011110010101110011001100010000100110011000011101010001000111001000001100', '101000000011001001110101000100101010000111000111100010010001111111100110001100000100011010011010010101101111010101010000110011101001111001111011111001110001010000110101101011101111010000001100', '01100001011110010100000101001101111101010011100010011001011110110010010011100101000', '0011100111000101111000010001111100000111000101110001111010001100001000111010000101100001110101100111111', '00001100000011110001011010010110000000111110110001111000110000011011001110000000100011001010110000010000010001101010101100000010011011000101011111100010010', 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'0110110100011001110011001111100010101001011111011001011001101101010010101101110101010100001000100100000111101110001001110111000110011101101010100000101', '0011111010010011011101010110100110000011000011100100101011011001110110001110001111000011010111011000110100111111011101110111000010010000011011010011011100000011101100110110100100000010110101110100110101001100111011101001010111011011110100110101110010011011010001010111110011001000010100010101010010110010010110000100110001000011010011000100101011010100100111010']}]}]}")
d=pandas.DataFrame.from_records(copy.deepcopy(paper_as_dict) for _ in range(140_100))
arrow=datasets.Dataset.from_pandas(d)
```
## Expected results
The dataset should be converted without error.
## Actual results
Error `pyarrow.lib.ArrowInvalid: Column 1: In chunk 0: Invalid: List child array invalid: Invalid: Struct child array #1 has length smaller than expected for struct array (1192457 < 1192458)`
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: datasets==1.18.4 pandas==1.3.5
- Platform: macOS 11.6 or CentOS Linux 7 (Core)
- Python version: Python 3.9.7
- PyArrow version: pyarrow==3.0.0
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https://api.github.com/repos/huggingface/datasets/issues/3958 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3958/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3958/comments | https://api.github.com/repos/huggingface/datasets/issues/3958/events | https://github.com/huggingface/datasets/pull/3958 | 1,172,657,981 | PR_kwDODunzps40nQU2 | 3,958 | Update Wikipedia metadata | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3958). All of your documentation changes will be reflected on that endpoint.",
"Once this last PR validated, I can take care of the integration of all the wikipedia update branch into master, @lhoestq. "
] | 2022-03-17T17:50:05 | 2022-03-21T12:26:48 | 2022-03-21T12:26:47 | MEMBER | null | false | {
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} | This PR updates:
- dataset card
- metadata JSON | {
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https://api.github.com/repos/huggingface/datasets/issues/3957 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3957/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3957/comments | https://api.github.com/repos/huggingface/datasets/issues/3957/events | https://github.com/huggingface/datasets/pull/3957 | 1,172,401,455 | PR_kwDODunzps40magW | 3,957 | Fix xtreme s metrics | {
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"Sorry for the commit history mess, but will be squashed anyways so should be fine",
"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-17T13:39:04 | 2022-03-18T13:46:19 | 2022-03-18T13:42:16 | MEMBER | null | false | {
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} | We in fact do need BABEL in xtreme-s | {
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"Hi @amirj, thanks for reporting.\r\n\r\nAt first sight, your issue seems a version incompatibility between your Elasticsearch client and your Elasticsearch server.\r\n\r\nFeel free to have a look at Elasticsearch client docs: https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/overview.html#_co... | 2022-03-17T11:43:13 | 2023-11-21T04:26:20 | 2022-03-28T08:00:01 | NONE | null | null | null | ## Describe the bug
Based on [this tutorial](https://huggingface.co/docs/datasets/faiss_es#elasticsearch) the provided code should add Elasticsearch index but raised the following error, probably the new Elasticsearch version is not compatible though the tutorial doesn't provide any information about the supporting Elasticsearch version.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets import load_dataset
squad = load_dataset('squad', split='validation')
squad.add_elasticsearch_index("context", host="localhost", port="9200")
```
## Expected results
[Creating an elastic index based on the provided tutorial](https://huggingface.co/docs/datasets/faiss_es#elasticsearch)
## Actual results
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-6-8fb51aa33961> in <module>
1 from datasets import load_dataset
2 squad = load_dataset('squad', split='validation')
----> 3 squad.add_elasticsearch_index("context", host="localhost", port="9200")
~/opt/anaconda3/lib/python3.8/site-packages/datasets/arrow_dataset.py in add_elasticsearch_index(self, column, index_name, host, port, es_client, es_index_name, es_index_config)
3777 """
3778 with self.formatted_as(type=None, columns=[column]):
-> 3779 super().add_elasticsearch_index(
3780 column=column,
3781 index_name=index_name,
~/opt/anaconda3/lib/python3.8/site-packages/datasets/search.py in add_elasticsearch_index(self, column, index_name, host, port, es_client, es_index_name, es_index_config)
587 """
588 index_name = index_name if index_name is not None else column
--> 589 es_index = ElasticSearchIndex(
590 host=host, port=port, es_client=es_client, es_index_name=es_index_name, es_index_config=es_index_config
591 )
~/opt/anaconda3/lib/python3.8/site-packages/datasets/search.py in __init__(self, host, port, es_client, es_index_name, es_index_config)
123 from elasticsearch import Elasticsearch # noqa: F811
124
--> 125 self.es_client = es_client if es_client is not None else Elasticsearch([{"host": host, "port": str(port)}])
126 self.es_index_name = (
127 es_index_name
~/opt/anaconda3/lib/python3.8/site-packages/elasticsearch/_sync/client/__init__.py in __init__(self, hosts, cloud_id, api_key, basic_auth, bearer_auth, opaque_id, headers, connections_per_node, http_compress, verify_certs, ca_certs, client_cert, client_key, ssl_assert_hostname, ssl_assert_fingerprint, ssl_version, ssl_context, ssl_show_warn, transport_class, request_timeout, node_class, node_pool_class, randomize_nodes_in_pool, node_selector_class, dead_node_backoff_factor, max_dead_node_backoff, serializer, serializers, default_mimetype, max_retries, retry_on_status, retry_on_timeout, sniff_on_start, sniff_before_requests, sniff_on_node_failure, sniff_timeout, min_delay_between_sniffing, sniffed_node_callback, meta_header, timeout, randomize_hosts, host_info_callback, sniffer_timeout, sniff_on_connection_fail, http_auth, maxsize, _transport)
310
311 if _transport is None:
--> 312 node_configs = client_node_configs(
313 hosts,
314 cloud_id=cloud_id,
~/opt/anaconda3/lib/python3.8/site-packages/elasticsearch/_sync/client/utils.py in client_node_configs(hosts, cloud_id, **kwargs)
99 else:
100 assert hosts is not None
--> 101 node_configs = hosts_to_node_configs(hosts)
102
103 # Remove all values which are 'DEFAULT' to avoid overwriting actual defaults.
~/opt/anaconda3/lib/python3.8/site-packages/elasticsearch/_sync/client/utils.py in hosts_to_node_configs(hosts)
142
143 elif isinstance(host, Mapping):
--> 144 node_configs.append(host_mapping_to_node_config(host))
145 else:
146 raise ValueError(
~/opt/anaconda3/lib/python3.8/site-packages/elasticsearch/_sync/client/utils.py in host_mapping_to_node_config(host)
209 options["path_prefix"] = options.pop("url_prefix")
210
--> 211 return NodeConfig(**options) # type: ignore
212
213
TypeError: __init__() missing 1 required positional argument: 'scheme'
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.0
- Platform: Mac
- Python version: 3.8.0
- PyArrow version: 7.0.0
- ElaticSearch Info:
{
"name" : "byname",
"cluster_name" : "elasticsearch_brew",
"cluster_uuid" : "9xkjrltiQIG0J95ciWhqRA",
"version" : {
"number" : "7.10.2-SNAPSHOT",
"build_flavor" : "oss",
"build_type" : "tar",
"build_hash" : "unknown",
"build_date" : "2021-01-16T01:41:27.115673Z",
"build_snapshot" : true,
"lucene_version" : "8.7.0",
"minimum_wire_compatibility_version" : "6.8.0",
"minimum_index_compatibility_version" : "6.0.0-beta1"
},
"tagline" : "You Know, for Search"
}
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https://api.github.com/repos/huggingface/datasets/issues/3955 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3955/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3955/comments | https://api.github.com/repos/huggingface/datasets/issues/3955/events | https://github.com/huggingface/datasets/pull/3955 | 1,172,246,647 | PR_kwDODunzps40l5kG | 3,955 | Remove unncessary 'pylint disable' message in ReadMe | {
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"Hi @MatanBenChorin, thanks for reporting.\r\n\r\nPlease, take into account that the preview may take some time until it properly renders (we are working to reduce this time).\r\n\r\nMaybe @severo can give more details on this.",
"Hi, \r\nThank you",
"Thanks for reporting. We are looking at it and will give upd... | 2022-03-17T09:38:11 | 2022-04-20T12:39:07 | 2022-04-20T12:39:07 | NONE | null | null | null | ## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes | {
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"Can you assign this task to me? @nreimers @mariosasko ",
"Hi! Sure! Let us know if you need any pointers."
] | 2022-03-17T09:20:31 | 2022-05-23T18:05:29 | 2022-05-23T18:05:29 | CONTRIBUTOR | null | null | null | ## Adding a Dataset
- **Name:** ImageNet Sketch
- **Description:** ImageNet-Sketch is a dataset consisting of sketch-like images, that matches the ImageNet classification validation set in categories and scale.
- **Paper:** [Learning Robust Global Representations by Penalizing Local Predictive Power](https://arxiv.org/abs/1905.13549)
- **Data:** https://github.com/HaohanWang/ImageNet-Sketch
- **Motivation:** Allows for evaluating the robustness of vision models.
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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"Hi, @ravindra-ut.\r\n\r\nI'm sorry but I can't reproduce your problem:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset(\"glue\", \"sst2\")\r\nDownloading builder script: 28.8kB [00:00, 11.6MB/s] ... | 2022-03-17T03:45:47 | 2022-03-17T07:10:15 | 2022-03-17T07:10:14 | NONE | null | null | null | ## Describe the bug
Checksum error for glue sst2, stsb, rte etc datasets
## Steps to reproduce the bug
```python
>>> nlp.load_dataset('glue', 'sst2')
Downloading and preparing dataset glue/sst2 (download: 7.09 MiB, generated: 4.81 MiB, post-processed: Unknown sizetotal: 11.90 MiB) to
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 73.0/73.0 [00:00<00:00, 18.2kB/s]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Library/Python/3.8/lib/python/site-packages/nlp/load.py", line 548, in load_dataset
builder_instance.download_and_prepare(
File "/Library/Python/3.8/lib/python/site-packages/nlp/builder.py", line 462, in download_and_prepare
self._download_and_prepare(
File "/Library/Python/3.8/lib/python/site-packages/nlp/builder.py", line 521, in _download_and_prepare
verify_checksums(
File "/Library/Python/3.8/lib/python/site-packages/nlp/utils/info_utils.py", line 38, in verify_checksums
raise NonMatchingChecksumError(error_msg + str(bad_urls))
nlp.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8']
```
## Expected results
dataset load should succeed without checksum error.
## Actual results
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Library/Python/3.8/lib/python/site-packages/nlp/load.py", line 548, in load_dataset
builder_instance.download_and_prepare(
File "/Library/Python/3.8/lib/python/site-packages/nlp/builder.py", line 462, in download_and_prepare
self._download_and_prepare(
File "/Library/Python/3.8/lib/python/site-packages/nlp/builder.py", line 521, in _download_and_prepare
verify_checksums(
File "/Library/Python/3.8/lib/python/site-packages/nlp/utils/info_utils.py", line 38, in verify_checksums
raise NonMatchingChecksumError(error_msg + str(bad_urls))
nlp.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8']
```
## Environment info
- `datasets` version: '1.18.3'
- Platform: Mac OS
- Python version: Python 3.8.9
- PyArrow version: '7.0.0'
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https://api.github.com/repos/huggingface/datasets/issues/3951 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3951/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3951/comments | https://api.github.com/repos/huggingface/datasets/issues/3951/events | https://github.com/huggingface/datasets/issues/3951 | 1,171,568,814 | I_kwDODunzps5F1Liu | 3,951 | Forked streaming datasets try to `open` data urls rather than use network | {
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"Thanks for reporting this second issue as well. We definitely want to make streaming datasets fully working in a distributed setup and with the best performance. Right now it only supports single process.\r\n\r\nIn this issue it seems that the streaming capabilities that we offer to dataset builders are not transf... | 2022-03-16T21:21:02 | 2022-06-10T20:47:26 | 2022-06-10T20:47:26 | NONE | null | null | null | ## Describe the bug
Building on #3950, if you bypass the pickling problem you still can't use the dataset. Somehow something gets confused and the forked processes try to `open` urls rather than anything else.
## Steps to reproduce the bug
```python
from multiprocessing import freeze_support
import transformers
from transformers import Trainer, AutoModelForCausalLM, TrainingArguments
import datasets
import torch.utils.data
# work around #3950
class TorchIterableDataset(datasets.IterableDataset, torch.utils.data.IterableDataset):
pass
def _ensure_format(v: datasets.IterableDataset) -> datasets.IterableDataset:
return TorchIterableDataset(v._ex_iterable, v.info, v.split, "torch", v._shuffling)
if __name__ == '__main__':
freeze_support()
ds = datasets.load_dataset('oscar', "unshuffled_deduplicated_en", split='train', streaming=True)
ds = _ensure_format(ds)
model = AutoModelForCausalLM.from_pretrained("distilgpt2")
Trainer(model, train_dataset=ds, args=TrainingArguments("out", max_steps=1000, dataloader_num_workers=4)).train()
```
## Expected results
I'd expect the dataset to load the url correctly and produce examples.
## Actual results
```
warnings.warn(
***** Running training *****
Num examples = 8000
Num Epochs = 9223372036854775807
Instantaneous batch size per device = 8
Total train batch size (w. parallel, distributed & accumulation) = 8
Gradient Accumulation steps = 1
Total optimization steps = 1000
0%| | 0/1000 [00:00<?, ?it/s]Traceback (most recent call last):
File "/Users/dlwh/src/mistral/src/stream_fork_crash.py", line 22, in <module>
Trainer(model, train_dataset=ds, args=TrainingArguments("out", max_steps=1000, dataloader_num_workers=4)).train()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/transformers/trainer.py", line 1339, in train
for step, inputs in enumerate(epoch_iterator):
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 521, in __next__
data = self._next_data()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1203, in _next_data
return self._process_data(data)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1229, in _process_data
data.reraise()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/_utils.py", line 434, in reraise
raise exception
FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 32, in fetch
data.append(next(self.dataset_iter))
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/datasets/iterable_dataset.py", line 497, in __iter__
for key, example in self._iter():
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/datasets/iterable_dataset.py", line 494, in _iter
yield from ex_iterable
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/datasets/iterable_dataset.py", line 87, in __iter__
yield from self.generate_examples_fn(**self.kwargs)
File "/Users/dlwh/.cache/huggingface/modules/datasets_modules/datasets/oscar/84838bd49d2295f62008383b05620571535451d84545037bb94d6f3501651df2/oscar.py", line 358, in _generate_examples
with gzip.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
FileNotFoundError: [Errno 2] No such file or directory: 'https://s3.amazonaws.com/datasets.huggingface.co/oscar/1.0/unshuffled/deduplicated/en/en_part_1.txt.gz'
Error in atexit._run_exitfuncs:
Traceback (most recent call last):
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/popen_fork.py", line 27, in poll
pid, sts = os.waitpid(self.pid, flag)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/_utils/signal_handling.py", line 66, in handler
_error_if_any_worker_fails()
RuntimeError: DataLoader worker (pid 6932) is killed by signal: Terminated: 15.
0%| | 0/1000 [00:02<?, ?it/s]
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.0
- Platform: macOS-12.2-arm64-arm-64bit
- Python version: 3.8.12
- PyArrow version: 7.0.0
- Pandas version: 1.4.1
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https://api.github.com/repos/huggingface/datasets/issues/3950 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3950/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3950/comments | https://api.github.com/repos/huggingface/datasets/issues/3950/events | https://github.com/huggingface/datasets/issues/3950 | 1,171,560,585 | I_kwDODunzps5F1JiJ | 3,950 | Streaming Datasets don't work with Transformers Trainer when dataloader_num_workers>1 | {
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"Hi, thanks for reporting. This could be related to https://github.com/huggingface/datasets/issues/3148 too\r\n\r\nWe should definitely make `TorchIterableDataset` picklable by moving it in the main code instead of inside a function. If you'd like to contribute, feel free to open a Pull Request :)\r\n\r\nI'm also t... | 2022-03-16T21:14:11 | 2022-06-10T20:47:26 | 2022-06-10T20:47:26 | NONE | null | null | null | ## Describe the bug
Streaming Datasets can't be pickled, so any interaction between them and multiprocessing results in a crash.
## Steps to reproduce the bug
```python
import transformers
from transformers import Trainer, AutoModelForCausalLM, TrainingArguments
import datasets
ds = datasets.load_dataset('oscar', "unshuffled_deduplicated_en", split='train', streaming=True).with_format("torch")
model = AutoModelForCausalLM.from_pretrained("distilgpt2")
Trainer(model, train_dataset=ds, args=TrainingArguments("out", max_steps=1000, dataloader_num_workers=4)).train()
```
## Expected results
For this code I'd expect a crash related to not having preprocessed the data, but instead we get a pickling error.
## Actual results
```
0%| | 0/1000 [00:00<?, ?it/s]Traceback (most recent call last):
File "/Users/dlwh/src/mistral/src/stream_fork_crash.py", line 7, in <module>
Trainer(model, train_dataset=ds, args=TrainingArguments("out", max_steps=1000, dataloader_num_workers=4)).train()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/transformers/trainer.py", line 1339, in train
for step, inputs in enumerate(epoch_iterator):
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 359, in __iter__
return self._get_iterator()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 305, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 918, in __init__
w.start()
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/process.py", line 121, in start
self._popen = self._Popen(self)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/context.py", line 284, in _Popen
return Popen(process_obj)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 32, in __init__
super().__init__(process_obj)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/popen_fork.py", line 19, in __init__
self._launch(process_obj)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/popen_spawn_posix.py", line 47, in _launch
reduction.dump(process_obj, fp)
File "/Users/dlwh/.conda/envs/mistral/lib/python3.8/multiprocessing/reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'iterable_dataset.<locals>.TorchIterableDataset'
0%| | 0/1000 [00:00<?, ?it/s]
```
This immediate crash can be fixed by not using a local class to make the `TorchIterableDataset` (Note that you have to do with_format("torch") or you get an exception because the dataset has no len) However, any lambdas etc used as maps will also trigger this crash. A more permanent fix would be to move away from multiprocessing and instead use something like pathos or multiprocessing_on_dill (https://stackoverflow.com/questions/19984152/what-can-multiprocessing-and-dill-do-together)
Note that if you bypass this crash you get another crash. (I'll file a separate bug).
## Environment info
- `datasets` version: 2.0.0
- Platform: macOS-12.2-arm64-arm-64bit
- Python version: 3.8.12
- PyArrow version: 7.0.0
- Pandas version: 1.4.1
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https://api.github.com/repos/huggingface/datasets/issues/3949 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3949/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3949/comments | https://api.github.com/repos/huggingface/datasets/issues/3949/events | https://github.com/huggingface/datasets/pull/3949 | 1,171,467,981 | PR_kwDODunzps40jia- | 3,949 | Remove GLEU metric | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-16T19:35:31 | 2022-04-12T20:43:26 | 2022-04-12T20:37:09 | CONTRIBUTOR | null | false | {
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} | Remove the GLEU metric as it is not actually implemented. | {
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"A few things that aren't clear for me:\r\n- \"Because it performs better on individual sentence pairs as compared to BLEU, Google BLEU has also been used in RL experiments.\" -- why is this the case? why would that make it more usable for RL? (also, you should put \"Reinforcement Learning\" explicitly, not just th... | 2022-03-16T19:27:17 | 2022-03-21T16:04:26 | 2022-03-21T16:04:25 | CONTRIBUTOR | null | false | {
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} | Add metric card for Google BLEU (GLEU) metric
One thing I noticed while writing this up is that, while this metric was made specifically to be better than BLEU at the sentence level instead of the corpus level, the current implementation only allows the calculation of the corpus-level statistic. I think changing this would be a good thing to put on the to do list for the future. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Some thoughts:\r\n- For values, e.g. \"Defaults to False\", I would put False in code: `False`. Same for : \"Defaults to `4`.\"\r\n- I would put the following remark in \"Limitations\": \r\n> \"BLEU's output is always a number betwee... | 2022-03-16T19:20:07 | 2022-03-29T14:59:50 | 2022-03-29T14:54:14 | CONTRIBUTOR | null | false | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3946). All of your documentation changes will be reflected on that endpoint.",
"The failing CI test has nothing to do with this PR.",
"I'm closing this PR."
] | 2022-03-16T16:11:11 | 2023-09-24T10:10:50 | 2023-09-24T10:10:47 | MEMBER | null | false | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Finally I'm done updating the dependencies ^^'\r\n\r\ncc @sashavor can you review my changes in the metric card please ?",
"Looks good to me! Just fixed a tiny typo :wink: ",
"Thanks !"
] | 2022-03-16T15:56:47 | 2022-03-22T15:10:12 | 2022-03-22T15:05:30 | MEMBER | null | false | {
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} | The COMET metric has been broken for a while since big breaking changes happened. We did not catch them in the CI because the slow test mocks the download_model function that was changed.
This PR fixes the metric, updates the download_model mock and updates the doctest. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-16T15:46:26 | 2022-03-17T17:50:54 | 2022-03-17T17:47:05 | NONE | null | false | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3943). All of your documentation changes will be reflected on that endpoint."
] | 2022-03-16T15:28:30 | 2022-03-17T11:46:26 | 2022-03-17T11:46:25 | CONTRIBUTOR | null | false | {
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"Hi @XingxingZhang, \r\n\r\nWe have already fixed this. You should update `datasets` version to at least 1.18.4:\r\n```shell\r\npip install -U datasets\r\n```\r\nAnd then force the redownload:\r\n```python\r\nload_dataset(\"...\", download_mode=\"force_redownload\")\r\n```\r\n\r\nDuplicate of:\r\n- #3773",
"thank... | 2022-03-16T15:23:30 | 2022-03-16T15:57:43 | 2022-03-16T15:39:25 | NONE | null | null | null | ## Describe the bug
When loading the reddit_tifu dataset, it throws the exception "Checksums didn't match for dataset source files"
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__version__)
# load_dataset('billsum')
load_dataset('reddit_tifu', 'short')
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.17.0
- Platform: mac os
- Python version: Python 3.7.6
- PyArrow version: 3.0.0
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"Hi @XingxingZhang, thanks for reporting.\r\n\r\nThis was due to a change in Google Drive service:\r\n- #3786 \r\n\r\nWe have already fixed it:\r\n- #3787\r\n\r\nYou should update `datasets` version to at least 1.18.4:\r\n```shell\r\npip install -U datasets\r\n```\r\nAnd then force the redownload:\r\n```python\r\nl... | 2022-03-16T14:52:08 | 2022-03-16T15:57:08 | 2022-03-16T15:46:44 | NONE | null | null | null | ## Describe the bug
When loading the `billsum` dataset, it throws the exception "Checksums didn't match for dataset source files"
```
File "virtualenv_projects/codex/lib/python3.7/site-packages/datasets/utils/info_utils.py", line 40, in verify_checksums
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://drive.google.com/uc?export=download&id=1g89WgFHMRbr4QrvA0ngh26PY081Nv3lx']
```
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__version__)
load_dataset('billsum')
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.17.0
- Platform: mac os
- Python version: Python 3.7.6
- PyArrow version: 3.0.0
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"Thanks for reporting @qqaatw.\r\n\r\n@mishig25 @sgugger do you think this can be tweaked in the new doc framework?\r\n- From: https://github.com/huggingface/datasets/blob/v2.0.0/\r\n- To: https://github.com/huggingface/datasets/blob/2.0.0/",
"@qqaatw thanks a lot for notifying about this issue!\r\n\r\nin compari... | 2022-03-16T11:17:47 | 2022-03-19T04:41:32 | 2022-03-19T04:41:32 | CONTRIBUTOR | null | null | null | ## Describe the bug
The source links of v2.0.0 docs are broken:
For exmaple, clicking the source button of this [class](https://huggingface.co/docs/datasets/v2.0.0/en/package_reference/main_classes#datasets.ClassLabel) will direct users to `https://github.com/huggingface/datasets/blob/v2.0.0/src/datasets/features/features.py#L747`
here, the `v2.0.0` should be `2.0.0`.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
```
## Expected results
Redirecting to this link: `https://github.com/huggingface/datasets/blob/2.0.0/src/datasets/features/features.py#L747`
## Actual results
Described above.
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version:
- Platform:
- Python version:
- PyArrow version:
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3938). All of your documentation changes will be reflected on that endpoint."
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"Thanks for contacting @Eytan-S.\r\n\r\nI think @lvwerra could better answer this. ",
"That seems to be an oversight - I originally planned to include them in the dataset and for some reason they were in the list of languages but not in the query. Since there is an issue with the deduplication step I'll rerun the... | 2022-03-16T10:32:03 | 2022-03-22T07:09:23 | 2022-03-21T14:50:47 | NONE | null | null | null | Hi,
I'm working with the github-code dataset. First of all, thank you for creating this amazing dataset!
I've noticed that two languages are missing from the dataset: TypeScript and Scala.
Looks like they're also omitted from the query you used to get the original code.
Are there any plans to add them in the future?
Thanks! | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_3936). All of your documentation changes will be reflected on that endpoint."
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} | To keep backward compatibility when loading using "wikipedia" dataset ID (https://huggingface.co/datasets/wikipedia), we have created the pre-processed data for the same languages we were offering before, but with updated date "20220301":
- de
- en
- fr
- frr
- it
- simple
These pre-processed data can be accessed, e.g.:
```python
ds = load_dataset("wikipedia", "20220301.frr", split="train")
```
The next step will be to offer the pre-processed data for many other languages, but when loading using "wikimedia/wikipedia": https://huggingface.co/datasets/wikimedia/wikipedia | {
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