html_url stringlengths 48 51 | title stringlengths 5 280 | comments stringlengths 63 51.8k | body stringlengths 0 36.2k ⌀ | comment_length int64 16 1.52k | text stringlengths 159 54.1k | embeddings listlengths 768 768 |
|---|---|---|---|---|---|---|
https://github.com/huggingface/datasets/issues/3968 | Cannot preview 'indonesian-nlp/eli5_id' dataset | Hi @cahya-wirawan, thanks for reporting.
Your dataset is working OK in streaming mode:
```python
In [1]: from datasets import load_dataset
...: ds = load_dataset("indonesian-nlp/eli5_id", split="train", streaming=True)
...: item = next(iter(ds))
...: item
Using custom data configuration indonesian-nlp... | ## 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 exis... | 271 | Cannot preview 'indonesian-nlp/eli5_id' dataset
## 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 ca... | [
-0.388446569442749,
-0.14188803732395172,
-0.07354122400283813,
0.15386773645877838,
-0.024768546223640442,
0.23113849759101868,
0.09294120222330093,
0.5587157011032104,
0.013209179043769836,
-0.0031360313296318054,
-0.22927719354629517,
0.14132031798362732,
-0.008997955359518528,
0.056064... |
https://github.com/huggingface/datasets/issues/3968 | Cannot preview 'indonesian-nlp/eli5_id' dataset | Thanks @albertvillanova for checking it. Btw, I have another dataset indonesian-nlp/lfqa_id which has the same issue. However, this dataset is still private, is it the reason why the preview doesn't work? | ## 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 exis... | 31 | Cannot preview 'indonesian-nlp/eli5_id' dataset
## 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 ca... | [
-0.3352316617965698,
-0.12393232434988022,
-0.02713606134057045,
0.27798882126808167,
-0.1499146968126297,
0.2525174617767334,
0.16896089911460876,
0.4171845316886902,
0.02622237056493759,
0.1278896927833557,
-0.20933124423027039,
0.027342122048139572,
0.07286307960748672,
-0.0633362606167... |
https://github.com/huggingface/datasets/issues/3965 | TypeError: Couldn't cast array of type for JSONLines dataset | Hi @lewtun, thanks for reporting.
It seems that our library fails at inferring the dtype of the columns:
- `milestone`
- `performed_via_github_app`
(and assigns them `null` dtype). | ## 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 `pan... | 27 | TypeError: Couldn't cast array of type for JSONLines dataset
## 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 r... | [
0.003606155514717102,
-0.04799984395503998,
-0.053586676716804504,
0.4342816472053528,
0.45925408601760864,
0.15033957362174988,
0.4873129725456238,
0.32419562339782715,
0.4770776629447937,
-0.05750115215778351,
-0.06118413060903549,
0.13117903470993042,
-0.11000127345323563,
0.28168842196... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | Hi! Instead of @nateraw's `image-folder`, I suggest using the newly released `imagefolder` dataset:
```python
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train/**'], 'validation': ['/ssd/datasets/imagenet/pytorch/val/**']}
>>> ds = load_dataset('imagefolder', data... | 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... | 40 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | > Hi! Instead of @nateraw's `image-folder`, I suggest using the newly released `imagefolder` dataset:
>
> ```python
> >>> from datasets import load_dataset
> >>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train/**'], 'validation': ['/ssd/datasets/imagenet/pytorch/val/**']}
> >>> ds = load_dataset('imag... | 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... | 378 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | You can pass `ignore_verifications=True` in `load_dataset` to make it fast (to skip checksum verification). I'll add this tip to the docs. | 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... | 21 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | > You can pass `ignore_verifications=True` in `load_dataset` to make it fast (to skip checksum verification). I'll add this tip to the docs.
Thanks！It's worked well. | 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... | 25 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | > You can pass `ignore_verifications=True` in `load_dataset` to make it fast (to skip checksum verification). I'll add this tip to the docs.
I find current `load_dataset` loads ImageNet still slowly, even add `ignore_verifications=True`.
First loading, it costs about 20 min in my servers.
```
real 19m23.023s
use... | 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... | 83 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | And in transformers the [ViT example](https://github.com/huggingface/transformers/blob/main/examples/pytorch/image-classification/run_image_classification.py), could you make some changes ? Like the `collect_fn`
```python
def collate_fn(examples):
pixel_values = torch.stack([example["pixel_values"] for example i... | 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... | 45 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | Loading the image files slowly, is it because the multiple processes load files at the same time? | 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... | 17 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | Could you please share the output you get after the second loading? Also, feel free to interrupt (`KeyboardInterrupt`) the process while waiting for it to end and share a traceback to show us where the process hangs.
> And in transformers the [ViT example](https://github.com/huggingface/transformers/blob/main/exa... | 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... | 125 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | > Could you please share the output you get after the second loading? Also, feel free to interrupt (`KeyboardInterrupt`) the process while waiting for it to end and share a traceback to show us where the process hangs.
>
> > And in transformers the [ViT example](https://github.com/huggingface/transformers/blob/main/... | 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... | 269 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | Thanks for rerunning the code to record the output. Is it the `"Resolving data files"` part on your machine that takes a long time to complete, or is it `"Loading cached processed dataset at ..."˙`? We plan to speed up the latter by splitting bigger Arrow files into smaller ones, but your dataset doesn't seem that big,... | 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... | 64 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | > Thanks for rerunning the code to record the output. Is it the `"Resolving data files"` part on your machine that takes a long time to complete, or is it `"Loading cached processed dataset at ..."˙`? We plan to speed up the latter by splitting bigger Arrow files into smaller ones, but your dataset doesn't seem that bi... | 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... | 90 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | I'm getting this problem. Script has been stuck at this part for the past 15 or so minutes:
`Resolving data files: 100%|█████████████████████████████████████████| 107/107 [00:00<00:00, 472.74it/s]`
I had everything working fine on an AWS EC2 node with a single GPU. Then I created an image based on the single GPU... | 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... | 162 | Load local dataset error
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_da... | [
-0.3380225598812103,
-0.11414039134979248,
-0.02119709923863411,
0.23908700048923492,
0.4253336787223816,
-0.022540971636772156,
0.1771000474691391,
0.35765692591667175,
0.0669669359922409,
0.18955588340759277,
-0.13147702813148499,
0.15659363567829132,
-0.09680266678333282,
0.120188377797... |
https://github.com/huggingface/datasets/issues/3959 | Medium-sized dataset conversion from pandas causes a crash | Hi ! It looks like an issue with pyarrow, could you try updating pyarrow and try again ? | 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... | 18 | Medium-sized dataset conversion from pandas causes a crash
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=da... | [
-0.3885246515274048,
0.05523669719696045,
0.09809435904026031,
0.4302074909210205,
0.5165886878967285,
0.08926539868116379,
0.2436552792787552,
0.34836041927337646,
-0.18180057406425476,
0.05686662718653679,
0.06946419179439545,
0.49113860726356506,
-0.03995911031961441,
-0.066040292382240... |
https://github.com/huggingface/datasets/issues/3959 | Medium-sized dataset conversion from pandas causes a crash | I´m getting the same problem with some files, @albertvillanova did you find a solution to this? | 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... | 16 | Medium-sized dataset conversion from pandas causes a crash
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=da... | [
-0.3885246515274048,
0.05523669719696045,
0.09809435904026031,
0.4302074909210205,
0.5165886878967285,
0.08926539868116379,
0.2436552792787552,
0.34836041927337646,
-0.18180057406425476,
0.05686662718653679,
0.06946419179439545,
0.49113860726356506,
-0.03995911031961441,
-0.066040292382240... |
https://github.com/huggingface/datasets/issues/3956 | TypeError: __init__() missing 1 required positional argument: 'scheme' | Hi @amirj, thanks for reporting.
At first sight, your issue seems a version incompatibility between your Elasticsearch client and your Elasticsearch server.
Feel free to have a look at Elasticsearch client docs: https://www.elastic.co/guide/en/elasticsearch/client/python-api/current/overview.html#_compatibility
... | ## 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 El... | 66 | TypeError: __init__() missing 1 required positional argument: 'scheme'
## 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 th... | [
-0.2016848921775818,
-0.3632032871246338,
-0.06706374138593674,
-0.11549955606460571,
-0.01564791426062584,
0.24799758195877075,
0.23410780727863312,
0.28774207830429077,
0.06386101245880127,
0.09369005262851715,
-0.03584487736225128,
0.3917694687843323,
-0.02158251777291298,
-0.1523347944... |
https://github.com/huggingface/datasets/issues/3956 | TypeError: __init__() missing 1 required positional argument: 'scheme' | @albertvillanova It doesn't seem a version incompatibility between the client and server, since the following code is working:
```
from elasticsearch import Elasticsearch
es_client = Elasticsearch("http://localhost:9200")
dataset.add_elasticsearch_index(column="e1", es_client=es_client, es_index_name="e1_index")
... | ## 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 El... | 30 | TypeError: __init__() missing 1 required positional argument: 'scheme'
## 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 th... | [
-0.2016848921775818,
-0.3632032871246338,
-0.06706374138593674,
-0.11549955606460571,
-0.01564791426062584,
0.24799758195877075,
0.23410780727863312,
0.28774207830429077,
0.06386101245880127,
0.09369005262851715,
-0.03584487736225128,
0.3917694687843323,
-0.02158251777291298,
-0.1523347944... |
https://github.com/huggingface/datasets/issues/3956 | TypeError: __init__() missing 1 required positional argument: 'scheme' | Hi @amirj,
I really think it is a version incompatibility issue between your Elasticsearch client and server:
- Your Elasticsearch server NodeConfig expects a positional argument named 'scheme'
- Whereas your Elasticsearch client passes only keyword arguments: `NodeConfig(**options)`
Moreover:
- Looking at yo... | ## 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 El... | 125 | TypeError: __init__() missing 1 required positional argument: 'scheme'
## 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 th... | [
-0.2016848921775818,
-0.3632032871246338,
-0.06706374138593674,
-0.11549955606460571,
-0.01564791426062584,
0.24799758195877075,
0.23410780727863312,
0.28774207830429077,
0.06386101245880127,
0.09369005262851715,
-0.03584487736225128,
0.3917694687843323,
-0.02158251777291298,
-0.1523347944... |
https://github.com/huggingface/datasets/issues/3956 | TypeError: __init__() missing 1 required positional argument: 'scheme' | ```
from elasticsearch import Elasticsearch
es = Elasticsearch([{'host': 'localhost', 'port': 9200}])
```
```
TypeError Traceback (most recent call last)
<ipython-input-8-675c6ffe5293> in <module>
1 #es = Elasticsearch([{'host':'localhost', 'port':9200}])
2 from elast... | ## 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 El... | 179 | TypeError: __init__() missing 1 required positional argument: 'scheme'
## 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 th... | [
-0.2016848921775818,
-0.3632032871246338,
-0.06706374138593674,
-0.11549955606460571,
-0.01564791426062584,
0.24799758195877075,
0.23410780727863312,
0.28774207830429077,
0.06386101245880127,
0.09369005262851715,
-0.03584487736225128,
0.3917694687843323,
-0.02158251777291298,
-0.1523347944... |
https://github.com/huggingface/datasets/issues/3956 | TypeError: __init__() missing 1 required positional argument: 'scheme' | @raj713335, thanks for reporting.
Please note that in your code example, you are not using our `datasets` library.
Thus, I think you should report that issue to `elasticsearch` library: https://github.com/elastic/elasticsearch-py
| ## 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 El... | 30 | TypeError: __init__() missing 1 required positional argument: 'scheme'
## 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 th... | [
-0.2016848921775818,
-0.3632032871246338,
-0.06706374138593674,
-0.11549955606460571,
-0.01564791426062584,
0.24799758195877075,
0.23410780727863312,
0.28774207830429077,
0.06386101245880127,
0.09369005262851715,
-0.03584487736225128,
0.3917694687843323,
-0.02158251777291298,
-0.1523347944... |
https://github.com/huggingface/datasets/issues/3956 | TypeError: __init__() missing 1 required positional argument: 'scheme' | it is simple hack which shock you just replace https to http in scheme
**In My Case:** ->
`es = Elasticsearch([{'host': 'localhost', 'port': 9200, "scheme": "http"}])
if es.ping():
print('Connected to ES!')
else:
print('Could not connect!')
sys.exit()` | ## 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 El... | 36 | TypeError: __init__() missing 1 required positional argument: 'scheme'
## 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 th... | [
-0.2016848921775818,
-0.3632032871246338,
-0.06706374138593674,
-0.11549955606460571,
-0.01564791426062584,
0.24799758195877075,
0.23410780727863312,
0.28774207830429077,
0.06386101245880127,
0.09369005262851715,
-0.03584487736225128,
0.3917694687843323,
-0.02158251777291298,
-0.1523347944... |
https://github.com/huggingface/datasets/issues/3954 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | Hi @MatanBenChorin, thanks for reporting.
Please, take into account that the preview may take some time until it properly renders (we are working to reduce this time).
Maybe @severo can give more details on this. | ## 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 | 35 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset
## 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
... | [
-0.31141725182533264,
-0.4014882743358612,
-0.065843865275383,
0.2669583261013031,
0.08385822176933289,
0.111630879342556,
0.28291332721710205,
0.2667752504348755,
-0.08628728985786438,
0.3120712637901306,
-0.1596047580242157,
-0.014639688655734062,
0.05346900597214699,
0.17406515777111053... |
https://github.com/huggingface/datasets/issues/3954 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | I imagine the dataset has been moved to https://huggingface.co/datasets/tdklab/Hebrew_Squad_v1, which still has an issue:
```
Server Error
Status code: 400
Exception: NameError
Message: name 'HebrewSquad' is not defined
``` | ## 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 | 29 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset
## 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
... | [
-0.2194947898387909,
-0.14463429152965546,
-0.07316692918539047,
0.24114498496055603,
0.11757911741733551,
0.058199308812618256,
0.28336018323898315,
0.24552012979984283,
-0.1701328456401825,
0.3784976601600647,
-0.11629267781972885,
-0.047787562012672424,
-0.0005151843652129173,
-0.023456... |
https://github.com/huggingface/datasets/issues/3954 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | The issue is not related to the dataset viewer but to the loading script (cc @albertvillanova @lhoestq @mariosasko)
```python
>>> import datasets as ds
>>> hf_token = "hf_..." # <- required because the dataset is gated
>>> d = ds.load_dataset('tdklab/Hebrew_Squad_v1', use_auth_token=hf_token)
...
NameError: nam... | ## 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 | 49 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset
## 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
... | [
-0.4161965250968933,
-0.17986685037612915,
-0.05000681430101395,
0.22477580606937408,
0.11789792031049728,
0.14644843339920044,
0.5444727540016174,
0.27416956424713135,
0.07050414383411407,
0.35510194301605225,
-0.16593210399150848,
-0.046966832131147385,
-0.05362793058156967,
0.0518673509... |
https://github.com/huggingface/datasets/issues/3954 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | Yes indeed there is an error in [Hebrew_Squad_v1.py:L40](https://huggingface.co/datasets/tdklab/Hebrew_Squad_v1/blob/main/Hebrew_Squad_v1.py#L40)
Here is the fix @MatanBenChorin :
```diff
- HebrewSquad(
+ HebrewSquadConfig(
``` | ## 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 | 20 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset
## 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
... | [
-0.4104544222354889,
-0.3167882561683655,
-0.049464982002973557,
0.2509031891822815,
0.21940378844738007,
0.10138290375471115,
0.21513062715530396,
0.2923049330711365,
-0.16139250993728638,
0.3173694610595703,
-0.19913099706172943,
-0.0747283473610878,
0.02830890379846096,
0.03329286724328... |
https://github.com/huggingface/datasets/issues/3952 | Checksum error for glue sst2, stsb, rte etc datasets | Hi, @ravindra-ut.
I'm sorry but I can't reproduce your problem:
```python
In [1]: from datasets import load_dataset
In [2]: ds = load_dataset("glue", "sst2")
Downloading builder script: 28.8kB [00:00, 11.6MB/s] ... | ## 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%|████████... | 179 | Checksum error for glue sst2, stsb, rte etc datasets
## 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: Unknow... | [
-0.06718827039003372,
0.17871642112731934,
-0.014720802195370197,
0.2622031271457672,
0.21774929761886597,
-0.13403570652008057,
0.1646662950515747,
0.3809951841831207,
0.21308691799640656,
-0.0059029534459114075,
-0.0861569195985794,
0.06188815459609032,
0.047629885375499725,
0.2141880244... |
https://github.com/huggingface/datasets/issues/3951 | Forked streaming datasets try to `open` data urls rather than use network | 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.
In this issue it seems that the streaming capabilities that we offer to dataset builders are not transferred to ... | ## 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 transformer... | 95 | Forked streaming datasets try to `open` data urls rather than use network
## 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
... | [
-0.2870965003967285,
-0.5631279945373535,
0.07200653851032257,
0.2570626139640808,
0.030351946130394936,
-0.16190961003303528,
0.26984795928001404,
0.13945510983467102,
-0.29657167196273804,
0.10785611718893051,
-0.18194852769374847,
0.3537841737270355,
-0.16178999841213226,
-0.16461725533... |
https://github.com/huggingface/datasets/issues/3950 | Streaming Datasets don't work with Transformers Trainer when dataloader_num_workers>1 | Hi, thanks for reporting. This could be related to https://github.com/huggingface/datasets/issues/3148 too
We 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 :)
I'm also taking a look ... | ## 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('os... | 55 | Streaming Datasets don't work with Transformers Trainer when dataloader_num_workers>1
## 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, Au... | [
-0.47248074412345886,
-0.3094193935394287,
0.0654425173997879,
0.3585296869277954,
0.25151777267456055,
-0.07021686434745789,
0.3671460747718811,
0.1715017408132553,
0.1068321168422699,
0.27753061056137085,
0.0359957292675972,
0.16378755867481232,
-0.5519857406616211,
0.046610280871391296,... |
https://github.com/huggingface/datasets/issues/3942 | reddit_tifu dataset: Checksums didn't match for dataset source files | Hi @XingxingZhang,
We have already fixed this. You should update `datasets` version to at least 1.18.4:
```shell
pip install -U datasets
```
And then force the redownload:
```python
load_dataset("...", download_mode="force_redownload")
```
Duplicate of:
- #3773 | ## 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'... | 35 | reddit_tifu dataset: Checksums didn't match for dataset source files
## 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.... | [
-0.3985463082790375,
0.1268264502286911,
-0.09007857739925385,
0.153164342045784,
0.4119488000869751,
-0.07225192338228226,
0.13589654862880707,
0.46094679832458496,
-0.07004006206989288,
-0.08690880239009857,
-0.17139890789985657,
0.47255560755729675,
0.2960699200630188,
0.221658885478973... |
https://github.com/huggingface/datasets/issues/3942 | reddit_tifu dataset: Checksums didn't match for dataset source files | thanks @albertvillanova . by upgrading to 1.18.4 and using `load_dataset("...", download_mode="force_redownload")` fixed
the bug.
using the following as you suggested in another thread can also fixed the bug
```
pip install git+https://github.com/huggingface/datasets#egg=datasets
```
| ## 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'... | 33 | reddit_tifu dataset: Checksums didn't match for dataset source files
## 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.... | [
-0.42410793900489807,
0.1216534674167633,
-0.08513222634792328,
0.11597372591495514,
0.4104369282722473,
-0.10158805549144745,
0.16164954006671906,
0.4821440577507019,
-0.06761131435632706,
-0.0831584632396698,
-0.17158035933971405,
0.4847012460231781,
0.2961725890636444,
0.260919719934463... |
https://github.com/huggingface/datasets/issues/3942 | reddit_tifu dataset: Checksums didn't match for dataset source files | The latter solution (installing from GitHub) was proposed because the fix was not released yet. But last week we made the 1.18.4 patch release (with the fix), so no longer necessary to install from GitHub.
You can now install from PyPI, as usual:
```shell
pip install -U datasets
```
| ## 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'... | 49 | reddit_tifu dataset: Checksums didn't match for dataset source files
## 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.... | [
-0.39724549651145935,
0.11584989726543427,
-0.09440062940120697,
0.07433749735355377,
0.3742976784706116,
-0.10165633261203766,
0.1341250240802765,
0.5053941011428833,
-0.15059837698936462,
-0.039488285779953,
-0.15302638709545135,
0.49132516980171204,
0.306779146194458,
0.2183289676904678... |
https://github.com/huggingface/datasets/issues/3941 | billsum dataset: Checksums didn't match for dataset source files: | Hi @XingxingZhang, thanks for reporting.
This was due to a change in Google Drive service:
- #3786
We have already fixed it:
- #3787
You should update `datasets` version to at least 1.18.4:
```shell
pip install -U datasets
```
And then force the redownload:
```python
load_dataset("...", download_mode=... | ## 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_u... | 48 | billsum dataset: Checksums didn't match for dataset source files:
## 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... | [
-0.4439738392829895,
0.397952675819397,
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0.1886252760887146,
0.22775080800056458,
0.0679105594754219,
0.21592645347118378,
0.2985672652721405,
0.16421303153038025,
0.1222994476556778,
0.09585941582918167,
0.03607388213276863,
0.14741913974285126,
0.22022394835948944,
... |
https://github.com/huggingface/datasets/issues/3941 | billsum dataset: Checksums didn't match for dataset source files: | @albertvillanova
YOU Said: pip install git+ https://github.com/huggingface/datasets.git Then set: dataset=load_dataset ("multinews", download_mode="force-redownload"). I changed the ’datautils‘ file according to this setting: traindata=load_dataset (path='wikitext ', name='wikitext-2-raw v1', split='train ', download... | ## 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_u... | 49 | billsum dataset: Checksums didn't match for dataset source files:
## 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... | [
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0.1588030755519867,
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0.04973883926868439,
0.22299252450466156,
0.011909633874893188,
0.150751844048... |
https://github.com/huggingface/datasets/issues/3939 | Source links broken | Thanks for reporting @qqaatw.
@mishig25 @sgugger do you think this can be tweaked in the new doc framework?
- From: https://github.com/huggingface/datasets/blob/v2.0.0/
- To: https://github.com/huggingface/datasets/blob/2.0.0/ | ## 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... | 24 | Source links broken
## 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... | [
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0.0943082943558693,
0.4163026511669159,
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0.31795260310173035,
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0.2242851... |
https://github.com/huggingface/datasets/issues/3939 | Source links broken | @qqaatw thanks a lot for notifying about this issue!
in comparison, transformers tags start with `v` like [this one](https://github.com/huggingface/transformers/blob/v4.17.0/src/transformers/models/bert/configuration_bert.py#L54).
Therefore, we have to do one of 2 options below:
1. Make necessary changes on doc-... | ## 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... | 64 | Source links broken
## 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... | [
0.006573304533958435,
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-0.13495005667209625,
-0.1559809446334839,
0.28022944927215576,
-0.05605556070804596,
0.1167269870... |
https://github.com/huggingface/datasets/issues/3939 | Source links broken | I think option 2 is the easiest and would provide harmony in the HF ecosystem but we can also add a doc config parameter to decide whether the default version has a v or not if `datasets` folks prefer their tags without a v :-) | ## 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... | 45 | Source links broken
## 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... | [
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0.04810978099703789,
0.4152701199054718,
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-0.05964799225330353,
-0.11131661385297775,
0.29802387952804565,
-0.08623695373535156,
0.2317369729... |
https://github.com/huggingface/datasets/issues/3939 | Source links broken | For me it is OK to conform to the rest of libraries and tag/release with a preceding "v", rather than adding an extra argument to the doc builder just for `datasets`.
Let me know if it is also OK for you @lhoestq. | ## 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... | 42 | Source links broken
## 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... | [
-0.06857258826494217,
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0.03707267716526985,
0.02772561088204384,
0.11493310332298279,
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0.09673530608415604,
0.3829955756664276,
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0.013847913593053818,
0.4365796148777008,
-0.16966956853866577,
0.20860902965... |
https://github.com/huggingface/datasets/issues/3939 | Source links broken | We could add a tag for each release without a 'v' but it could be confusing on github to see both tags `v2.0.0` and `2.0.0` IMO (not sure if many users check them though). Removing the tags without 'v' would break our versioning for github datasets: the library looks for dataset scripts at the URLs like `https://raw.gi... | ## 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... | 111 | Source links broken
## 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... | [
-0.054221466183662415,
0.013687819242477417,
0.005049262195825577,
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0.11554194986820221,
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0.09385920315980911,
0.4597060978412628,
-0.30111852288246155,
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0.009345443919301033,
0.3782212734222412,
-0.18527118861675262,
0.19493... |
https://github.com/huggingface/datasets/issues/3939 | Source links broken | This is done in #3943 to go along with [doc-builder#146](https://github.com/huggingface/doc-builder/pull/146).
Note that this will only work for future versions, so once those two are merged, the actual v2.0.0 doc should be fixed. The easiest is to cherry-pick this commit on the v2.0.0 release branch (or on a new br... | ## 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... | 66 | Source links broken
## 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... | [
-0.10714317858219147,
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0.047776129096746445,
0.005761992186307907,
0.11596400290727615,
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0.12522906064987183,
0.4230194091796875,
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0.0007156252395361662,
0.3678084909915924,
-0.09867092967033386,
0.256093... |
https://github.com/huggingface/datasets/issues/3937 | Missing languages in lvwerra/github-code dataset | 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 pipeline anyway and will double check the query.
Thanks for reporting this @Eytan-S! | 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 fut... | 57 | Missing languages in lvwerra/github-code dataset
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 origina... | [
0.028587136417627335,
0.08368466794490814,
-0.24119462072849274,
0.11609712988138199,
0.1939321607351303,
0.07511136680841446,
0.11346013844013214,
0.30450183153152466,
0.21810367703437805,
-0.044578418135643005,
0.010674945078790188,
0.31046247482299805,
-0.0661669671535492,
0.15925440192... |
https://github.com/huggingface/datasets/issues/3937 | Missing languages in lvwerra/github-code dataset | Can confirm that the two languages are indeed missing from the dataset. Here are the file counts per language:
```Python
{'Assembly': 82847,
'Batchfile': 236755,
'C': 14127969,
'C#': 6793439,
'C++': 7368473,
'CMake': 175076,
'CSS': 1733625,
'Dockerfile': 331966,
'FORTRAN': 141963,
'GO': 2259363,
'... | 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 fut... | 82 | Missing languages in lvwerra/github-code dataset
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 origina... | [
-0.025679614394903183,
0.19238924980163574,
-0.27297845482826233,
0.0706946849822998,
0.2020147442817688,
0.0939294621348381,
0.16081146895885468,
0.4261840879917145,
0.16122005879878998,
0.01640966534614563,
0.029924066737294197,
0.15671661496162415,
-0.1640651524066925,
0.187163397669792... |
https://github.com/huggingface/datasets/issues/3937 | Missing languages in lvwerra/github-code dataset | @Eytan-S check out v1.1 of the `github-code` dataset where issue should be fixed:
| | Language |File Count| Size (GB)|
|---:|:-------------|---------:|-------:|
| 0 | Java | 19548190 | 107.7 |
| 1 | C | 14143113 | 183.83 |
| 2 | JavaScript | 11839883 | 87.82 |
| 3 | HTML ... | 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 fut... | 292 | Missing languages in lvwerra/github-code dataset
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 origina... | [
-0.1165027767419815,
0.17573139071464539,
-0.2867789566516876,
0.044658251106739044,
0.23426881432533264,
0.06973320990800858,
0.21076853573322296,
0.48765984177589417,
0.09907743334770203,
-0.03029206395149231,
0.010414352640509605,
0.13508346676826477,
-0.10653747618198395,
0.22048929333... |
https://github.com/huggingface/datasets/issues/3929 | Load a local dataset twice | Hi @caush, thanks for reporting:
In order to load local CSV files, you can use our "csv" loading script: https://huggingface.co/docs/datasets/loading#csv
```python
dataset = load_dataset("csv", data_files=["data/file1.csv", "data/file2.csv"])
```
OR:
```python
dataset = load_dataset("csv", data_dir="data")
``... | ## Describe the bug
Load a local "dataset" composed of two csv files twice.
## Steps to reproduce the bug
Put the two joined files in a repository named "Data".
Then in python:
import datasets as ds
ds.load_dataset('Data', data_files = {'file1.csv', 'file2.csv'})
## Expected results
Should give something ... | 43 | Load a local dataset twice
## Describe the bug
Load a local "dataset" composed of two csv files twice.
## Steps to reproduce the bug
Put the two joined files in a repository named "Data".
Then in python:
import datasets as ds
ds.load_dataset('Data', data_files = {'file1.csv', 'file2.csv'})
## Expected re... | [
-0.004710078239440918,
-0.23964521288871765,
-0.09018473327159882,
0.2367398738861084,
0.18133650720119476,
-0.025692373514175415,
0.3377518951892853,
0.3137403726577759,
0.3259289562702179,
0.47391563653945923,
-0.13535860180854797,
0.06573460251092911,
0.2889903783798218,
0.0849125087261... |
https://github.com/huggingface/datasets/issues/3928 | Frugal score deprecations | Hi @Ierezell, thanks for reporting.
I'm making a PR to suppress those logs from the terminal. | ## Describe the bug
The frugal score returns a really verbose output with warnings that can be easily changed.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets.load import load_metric
frugal = load_metric("frugalscore")
frugal.compute(predictions=["Do you like spinach... | 16 | Frugal score deprecations
## Describe the bug
The frugal score returns a really verbose output with warnings that can be easily changed.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets.load import load_metric
frugal = load_metric("frugalscore")
frugal.compute(predi... | [
-0.3378295600414276,
-0.1535777598619461,
-0.03944755345582962,
0.10396874696016312,
0.4437432289123535,
-0.18886882066726685,
-0.1592685729265213,
0.1735534965991974,
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0.20251178741455078,
-0.06267473846673965,
0.43469884991645813,
-0.1748407632112503,
-0.03435743227... |
https://github.com/huggingface/datasets/issues/3920 | 'datasets.features' is not a package | Hi @Arij-Aladel,
You are using a very old version of our library `datasets`: 1.8.0
Current version is 2.0.0 (and the previous one was 1.18.4)
Please, try to update `datasets` library and check if the problem persists:
```shell
/env/bin/pip install -U datasets | @albertvillanova
python 3.9
os: ubuntu 20.04
In conda environment
torch installed by
```/env/bin/pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html```
datasets package is installed by
```
/env/bin/pip install datasets==1.8.... | 41 | 'datasets.features' is not a package
@albertvillanova
python 3.9
os: ubuntu 20.04
In conda environment
torch installed by
```/env/bin/pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html```
datasets package is installed by
``... | [
-0.3741750717163086,
-0.22591999173164368,
-0.09576916694641113,
0.38590580224990845,
0.3267723321914673,
0.13503113389015198,
0.26702067255973816,
0.2414320409297943,
-0.3361455202102661,
-0.14156855642795563,
0.2684740126132965,
0.5509803295135498,
-0.2597140669822693,
-0.112549103796482... |
https://github.com/huggingface/datasets/issues/3920 | 'datasets.features' is not a package | The problem I can no I have build my project on this version and old version on transformers. I have preprocessed the data again to use it. Thank for your reply | @albertvillanova
python 3.9
os: ubuntu 20.04
In conda environment
torch installed by
```/env/bin/pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html```
datasets package is installed by
```
/env/bin/pip install datasets==1.8.... | 31 | 'datasets.features' is not a package
@albertvillanova
python 3.9
os: ubuntu 20.04
In conda environment
torch installed by
```/env/bin/pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 torchaudio==0.9.0 -f https://download.pytorch.org/whl/torch_stable.html```
datasets package is installed by
``... | [
-0.3741750717163086,
-0.22591999173164368,
-0.09576916694641113,
0.38590580224990845,
0.3267723321914673,
0.13503113389015198,
0.26702067255973816,
0.2414320409297943,
-0.3361455202102661,
-0.14156855642795563,
0.2684740126132965,
0.5509803295135498,
-0.2597140669822693,
-0.112549103796482... |
https://github.com/huggingface/datasets/issues/3919 | AttributeError: 'DatasetDict' object has no attribute 'features' | You are likely trying to get the `features` from a `DatasetDict`, a dictionary containing `Datasets`. You probably first want to index into a particular split from your `DatasetDict` i.e. `dataset['train'].features`.
For example
```python
ds = load_dataset('mnist')
ds.features
```
Returns
```python
----... | ## Describe the bug
Receiving the error when trying to check for Dataset features
## Steps to reproduce the bug
from datasets import Dataset
dataset = Dataset.from_pandas(df[['id', 'words', 'bboxes', 'ner_tags', 'image_path']])
dataset.features
## Expected results
A clear and concise description of the exp... | 129 | AttributeError: 'DatasetDict' object has no attribute 'features'
## Describe the bug
Receiving the error when trying to check for Dataset features
## Steps to reproduce the bug
from datasets import Dataset
dataset = Dataset.from_pandas(df[['id', 'words', 'bboxes', 'ner_tags', 'image_path']])
dataset.features... | [
-0.013954099267721176,
-0.03527218848466873,
-0.10288140177726746,
0.33697444200515747,
0.3277428150177002,
0.02265188843011856,
0.30330103635787964,
0.4544645845890045,
0.1717873215675354,
0.1745666116476059,
0.06919296830892563,
0.4478001594543457,
-0.2436327487230301,
0.1366272121667862... |
https://github.com/huggingface/datasets/issues/3918 | datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files | Hi @willowdong! These issues were fixed on master. We will have a new release of `datasets` later today. In the meantime, you can avoid these issues by installing `datasets` from master as follows:
```bash
pip install git+https://github.com/huggingface/datasets.git
``` | ## Describe the bug
Can't load the dataset
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset('multi_news')
dataset_2=load_dataset("reddit_tifu", "long")
## Actual results
raise NonMatchingChecksumError(error_msg + s... | 38 | datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files
## Describe the bug
Can't load the dataset
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset('multi_news')
dataset_2=loa... | [
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0.10444559156894684,
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0.19404193758964539,
0.2922669053077698,
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0.1404137760400772,
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0.2029477059841156,
0.04963637888431549,
0.0912993773818016... |
https://github.com/huggingface/datasets/issues/3909 | Error loading file audio when downloading the Common Voice dataset directly from the Hub | Hi ! It could an issue with torchaudio, which version of torchaudio are you using ? Can you also try updating `datasets` to 2.0.0 and see if it works ? | ## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from datasets import load_dataset, load_metric
from transformers import Wav2Vec2ForCTC, Wav2Vec2... | 30 | Error loading file audio when downloading the Common Voice dataset directly from the Hub
## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from d... | [
-0.2770323157310486,
-0.5579105615615845,
0.09589694440364838,
0.4342244267463684,
0.09727804362773895,
0.027911096811294556,
0.15836107730865479,
0.33873307704925537,
0.22135819494724274,
0.15522411465644836,
-0.6184945702552795,
0.18397583067417145,
-0.05294143408536911,
-0.3478994071483... |
https://github.com/huggingface/datasets/issues/3909 | Error loading file audio when downloading the Common Voice dataset directly from the Hub | I _might_ have a similar issue. I'm trying to use the librispeech_asr dataset and read it with soundfile.
```python
from datasets import load_dataset, load_metric
from transformers import Speech2TextForConditionalGeneration, Speech2TextProcessor
import soundfile as sf
librispeech_eval = load_dataset("librispee... | ## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from datasets import load_dataset, load_metric
from transformers import Wav2Vec2ForCTC, Wav2Vec2... | 854 | Error loading file audio when downloading the Common Voice dataset directly from the Hub
## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from d... | [
-0.2770323157310486,
-0.5579105615615845,
0.09589694440364838,
0.4342244267463684,
0.09727804362773895,
0.027911096811294556,
0.15836107730865479,
0.33873307704925537,
0.22135819494724274,
0.15522411465644836,
-0.6184945702552795,
0.18397583067417145,
-0.05294143408536911,
-0.3478994071483... |
https://github.com/huggingface/datasets/issues/3909 | Error loading file audio when downloading the Common Voice dataset directly from the Hub | Hi ! In `datasets` 2.0 can access the audio array with `librispeech_eval[0]["audio"]["array"]` already, no need to use `map_to_array`. See our documentation on [how to process audio data](https://huggingface.co/docs/datasets/audio_process) :)
cc @patrickvonplaten we will need to update the readme at [facebook/s2t-sm... | ## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from datasets import load_dataset, load_metric
from transformers import Wav2Vec2ForCTC, Wav2Vec2... | 43 | Error loading file audio when downloading the Common Voice dataset directly from the Hub
## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from d... | [
-0.2770323157310486,
-0.5579105615615845,
0.09589694440364838,
0.4342244267463684,
0.09727804362773895,
0.027911096811294556,
0.15836107730865479,
0.33873307704925537,
0.22135819494724274,
0.15522411465644836,
-0.6184945702552795,
0.18397583067417145,
-0.05294143408536911,
-0.3478994071483... |
https://github.com/huggingface/datasets/issues/3909 | Error loading file audio when downloading the Common Voice dataset directly from the Hub | Thanks!
And sorry for posting this problem in what turned on to be an unrelated thread.
I rewrote the code, and the model works. The WER is 0.137 however, so I'm not sure if I have missed a step. I will look further into that at a later point. The transcriptions look good through manual inspection.
The rewritt... | ## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from datasets import load_dataset, load_metric
from transformers import Wav2Vec2ForCTC, Wav2Vec2... | 130 | Error loading file audio when downloading the Common Voice dataset directly from the Hub
## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from d... | [
-0.2770323157310486,
-0.5579105615615845,
0.09589694440364838,
0.4342244267463684,
0.09727804362773895,
0.027911096811294556,
0.15836107730865479,
0.33873307704925537,
0.22135819494724274,
0.15522411465644836,
-0.6184945702552795,
0.18397583067417145,
-0.05294143408536911,
-0.3478994071483... |
https://github.com/huggingface/datasets/issues/3909 | Error loading file audio when downloading the Common Voice dataset directly from the Hub | I think the issue comes from the fact that you set `batched=False` while `map_to_pred` still returns a list of strings for "transcription". You can fix it by adding `[0]` at the end of this line to get the string:
```python
batch["transcription"] = processor.batch_decode(gen_tokens, skip_special_tokens=True)[0]
``` | ## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from datasets import load_dataset, load_metric
from transformers import Wav2Vec2ForCTC, Wav2Vec2... | 45 | Error loading file audio when downloading the Common Voice dataset directly from the Hub
## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from d... | [
-0.2770323157310486,
-0.5579105615615845,
0.09589694440364838,
0.4342244267463684,
0.09727804362773895,
0.027911096811294556,
0.15836107730865479,
0.33873307704925537,
0.22135819494724274,
0.15522411465644836,
-0.6184945702552795,
0.18397583067417145,
-0.05294143408536911,
-0.3478994071483... |
https://github.com/huggingface/datasets/issues/3909 | Error loading file audio when downloading the Common Voice dataset directly from the Hub | We no longer use `torchaudio` for decoding MP3 files, and the problem with model cards has been addressed, so I'm closing this issue. | ## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from datasets import load_dataset, load_metric
from transformers import Wav2Vec2ForCTC, Wav2Vec2... | 23 | Error loading file audio when downloading the Common Voice dataset directly from the Hub
## Describe the bug
When loading the Common_Voice dataset, by downloading it directly from the Hugging Face hub, some files can not be opened.
## Steps to reproduce the bug
```python
import torch
import torchaudio
from d... | [
-0.2770323157310486,
-0.5579105615615845,
0.09589694440364838,
0.4342244267463684,
0.09727804362773895,
0.027911096811294556,
0.15836107730865479,
0.33873307704925537,
0.22135819494724274,
0.15522411465644836,
-0.6184945702552795,
0.18397583067417145,
-0.05294143408536911,
-0.3478994071483... |
https://github.com/huggingface/datasets/issues/3906 | NonMatchingChecksumError on Spider dataset | Hi @kolk, thanks for reporting.
Indeed, Google Drive service recently changed their service and we had to add a fix to our library to cope with that change:
- #3787
We just made patch release last week: 1.18.4 https://github.com/huggingface/datasets/releases/tag/1.18.4
Please, feel free to update your local ... | ## Describe the bug
Failure to generate dataset ```spider``` because of checksums error for dataset source files.
## Steps to reproduce the bug
```
from datasets import load_dataset
spider = load_dataset("spider")
```
## Expected results
Checksums should match for files from url ['https://drive.google.com... | 60 | NonMatchingChecksumError on Spider dataset
## Describe the bug
Failure to generate dataset ```spider``` because of checksums error for dataset source files.
## Steps to reproduce the bug
```
from datasets import load_dataset
spider = load_dataset("spider")
```
## Expected results
Checksums should match... | [
-0.16796554625034332,
0.02548976242542267,
-0.08636106550693512,
0.29547399282455444,
0.3215498924255371,
-0.11661093682050705,
0.13645054399967194,
0.4342500865459442,
0.18611492216587067,
0.2588539123535156,
-0.26600897312164307,
0.01770993508398533,
-0.03663628548383713,
0.1000537201762... |
https://github.com/huggingface/datasets/issues/3904 | CONLL2003 Dataset not available | Thanks for reporting, @omarespejel.
I'm sorry but I can't reproduce the issue: the loading of the dataset works perfecto for me and I can reach the data URL: https://data.deepai.org/conll2003.zip
Might it be due to a temporary problem in the data owner site (https://data.deepai.org/) that is fixed now?
Could you... | ## Describe the bug
[CONLL2003](https://huggingface.co/datasets/conll2003) Dataset can no longer reach 'https://data.deepai.org/conll2003.zip'
## Steps to reproduce the bug
```python
from datasets impo... | 61 | CONLL2003 Dataset not available
## Describe the bug
[CONLL2003](https://huggingface.co/datasets/conll2003) Dataset can no longer reach 'https://data.deepai.org/conll2003.zip'
## Steps to reproduce the ... | [
-0.19115200638771057,
0.015068858861923218,
-0.04346455633640289,
0.3382740616798401,
0.19229736924171448,
0.003913998603820801,
0.24652226269245148,
0.11542615294456482,
-0.3758264183998108,
0.14859795570373535,
-0.08610620349645615,
0.24523372948169708,
0.45359793305397034,
0.18522953987... |
https://github.com/huggingface/datasets/issues/3904 | CONLL2003 Dataset not available | I am getting the same issue. I use google colab with CPU.
The code I used is exactly the same as described above.
```
from datasets import load_dataset
dataset = load_dataset("conll2003")
```
The produced error:
 Dataset can no longer reach 'https://data.deepai.org/conll2003.zip'
## Steps to reproduce the bug
```python
from datasets impo... | 193 | CONLL2003 Dataset not available
## Describe the bug
[CONLL2003](https://huggingface.co/datasets/conll2003) Dataset can no longer reach 'https://data.deepai.org/conll2003.zip'
## Steps to reproduce the ... | [
-0.23122742772102356,
0.10169914364814758,
0.01943160966038704,
0.35455381870269775,
0.0892065018415451,
0.03595958650112152,
0.27444344758987427,
0.0804341584444046,
-0.2968224883079529,
0.26328158378601074,
-0.06898251175880432,
0.3295479118824005,
0.4328650236129761,
0.2564679682254791,... |
https://github.com/huggingface/datasets/issues/3902 | Can't import datasets: partially initialized module 'fsspec' has no attribute 'utils' | Update: `"python3 -c "from from datasets import Dataset, DatasetDict"` works, but not if I import without the `python3 -c` | ## Describe the bug
Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeError Traceback (most recent call last)
<ipython-input-37-c8c... | 19 | Can't import datasets: partially initialized module 'fsspec' has no attribute 'utils'
## Describe the bug
Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeE... | [
-0.3171515464782715,
-0.09776302427053452,
-0.06043749302625656,
0.2508161664009094,
0.5410333275794983,
0.05154288560152054,
0.23068265616893768,
0.17841294407844543,
0.14518412947654724,
-0.040658801794052124,
-0.09140444546937943,
0.2070273607969284,
-0.084994375705719,
0.04220215231180... |
https://github.com/huggingface/datasets/issues/3902 | Can't import datasets: partially initialized module 'fsspec' has no attribute 'utils' | Hi @arunasank, thanks for reporting.
It seems that this can be caused because you are using an old version of `fsspec`: the reason why it works if you run `python3` seems to be that `python3` runs in a Python virtual env (with an updated version of `fsspec`); whereas the error arises when you run the import from oth... | ## Describe the bug
Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeError Traceback (most recent call last)
<ipython-input-37-c8c... | 88 | Can't import datasets: partially initialized module 'fsspec' has no attribute 'utils'
## Describe the bug
Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeE... | [
-0.3171515464782715,
-0.09776302427053452,
-0.06043749302625656,
0.2508161664009094,
0.5410333275794983,
0.05154288560152054,
0.23068265616893768,
0.17841294407844543,
0.14518412947654724,
-0.040658801794052124,
-0.09140444546937943,
0.2070273607969284,
-0.084994375705719,
0.04220215231180... |
https://github.com/huggingface/datasets/issues/3902 | Can't import datasets: partially initialized module 'fsspec' has no attribute 'utils' | from lightgbm import LGBMModel,LGBMClassifier, plot_importance
after importing lib getting (partially initialized module 'fsspec' has no attribute 'utils' (most likely due to a circular import) error, can help me | ## Describe the bug
Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeError Traceback (most recent call last)
<ipython-input-37-c8c... | 28 | Can't import datasets: partially initialized module 'fsspec' has no attribute 'utils'
## Describe the bug
Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeE... | [
-0.3171515464782715,
-0.09776302427053452,
-0.06043749302625656,
0.2508161664009094,
0.5410333275794983,
0.05154288560152054,
0.23068265616893768,
0.17841294407844543,
0.14518412947654724,
-0.040658801794052124,
-0.09140444546937943,
0.2070273607969284,
-0.084994375705719,
0.04220215231180... |
https://github.com/huggingface/datasets/issues/3902 | Can't import datasets: partially initialized module 'fsspec' has no attribute 'utils' | @deepakmahtha I think you are not using `datasets`: this is the GitHub repository of Hugging Face Datasets.
If you are using `lightgbm`, you should report the issue to their repository instead.
Anyway, we have proposed a possible fix just in a comment above: to update fsspec.
https://github.com/huggingface/datas... | ## Describe the bug
Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeError Traceback (most recent call last)
<ipython-input-37-c8c... | 47 | Can't import datasets: partially initialized module 'fsspec' has no attribute 'utils'
## Describe the bug
Unable to import datasets
## Steps to reproduce the bug
```python
from datasets import Dataset, DatasetDict
```
## Expected results
The import works without errors
## Actual results
```
AttributeE... | [
-0.3171515464782715,
-0.09776302427053452,
-0.06043749302625656,
0.2508161664009094,
0.5410333275794983,
0.05154288560152054,
0.23068265616893768,
0.17841294407844543,
0.14518412947654724,
-0.040658801794052124,
-0.09140444546937943,
0.2070273607969284,
-0.084994375705719,
0.04220215231180... |
https://github.com/huggingface/datasets/issues/3901 | Dataset viewer issue for IndicParaphrase- the preview doesn't show | It seems to have been fixed:
<img width="1534" alt="Capture d’écran 2022-04-12 à 14 10 07" src="https://user-images.githubusercontent.com/1676121/162959599-6b7fef7c-8411-4e03-8f00-90040a658079.png">
| ## Dataset viewer issue for '*IndicParaphrase*'
**Link:** *[IndicParaphrase](https://huggingface.co/datasets/ai4bharat/IndicParaphrase/viewer/hi/validation)*
*The preview of the dataset doesn't come up.
The error on the console is:
Status code: 400
Exception: FileNotFoundError
Message: [Errno 2] ... | 16 | Dataset viewer issue for IndicParaphrase- the preview doesn't show
## Dataset viewer issue for '*IndicParaphrase*'
**Link:** *[IndicParaphrase](https://huggingface.co/datasets/ai4bharat/IndicParaphrase/viewer/hi/validation)*
*The preview of the dataset doesn't come up.
The error on the console is:
Status cod... | [
-0.23629122972488403,
0.2801050841808319,
0.0057153478264808655,
0.17628033459186554,
-0.04072459787130356,
0.1510794460773468,
0.22422796487808228,
0.2524901032447815,
0.01474185660481453,
0.10672327131032944,
0.1024639829993248,
0.13665871322155,
-0.02456742525100708,
-0.2128655314445495... |
https://github.com/huggingface/datasets/issues/3896 | Missing google file for `multi_news` dataset | `datasets` 1.18.4 fixes the issue when you load the dataset with `load_dataset`.
When loading in streaming mode, the fix is indeed on https://github.com/huggingface/datasets/pull/3843 which will be merged soon :) | ## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/multi-news-original/train.src
```
Am I the ... | 29 | Missing google file for `multi_news` dataset
## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/... | [
-0.2699740529060364,
-0.045839741826057434,
0.049732010811567307,
0.14202143251895905,
0.12764522433280945,
0.24816274642944336,
0.19342294335365295,
0.2745969295501709,
-0.02155611664056778,
0.15792927145957947,
0.08163705468177795,
0.07922866940498352,
-0.36354491114616394,
0.33495393395... |
https://github.com/huggingface/datasets/issues/3896 | Missing google file for `multi_news` dataset | That is. The PR #3843 was just opened a bit later we had made our 1.18.4 patch release...
Once merged, that will fix this issue. | ## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/multi-news-original/train.src
```
Am I the ... | 25 | Missing google file for `multi_news` dataset
## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/... | [
-0.18722409009933472,
-0.004876673221588135,
0.03568989410996437,
0.182844877243042,
0.06084586679935455,
0.2791556119918823,
0.23320132493972778,
0.2045082449913025,
-0.03669676184654236,
0.17451882362365723,
0.16457809507846832,
0.019153203815221786,
-0.3617124855518341,
0.25781095027923... |
https://github.com/huggingface/datasets/issues/3896 | Missing google file for `multi_news` dataset | OK. Should fix the viewer for 50 datasets
<img width="148" alt="Capture d’écran 2022-03-14 à 11 51 02" src="https://user-images.githubusercontent.com/1676121/158157853-6c544a47-2d6d-4ac4-964a-6f10951ec36b.png">
| ## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/multi-news-original/train.src
```
Am I the ... | 18 | Missing google file for `multi_news` dataset
## Dataset viewer issue for '*multi_news*'
**Link:** https://huggingface.co/datasets/multi_news
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: https://drive.google.com/uc?export=download&id=1vRY2wM6rlOZrf9exGTm5pXj5ExlVwJ0C/... | [
-0.19339753687381744,
0.14772891998291016,
0.01884012296795845,
0.29667869210243225,
0.05062642693519592,
0.3109288215637207,
0.2941398024559021,
0.18849144876003265,
-0.07314808666706085,
0.12405858933925629,
0.14978766441345215,
-0.0864580050110817,
-0.34820032119750977,
0.23597352206707... |
https://github.com/huggingface/datasets/issues/3889 | Cannot load beans dataset (Couldn't reach the dataset) | Hi ! A pull request is open to fix the dataset, we'll release a patch soon with a new release of `datasets` :) | ## Describe the bug
The beans dataset is unavailable to download.
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset('beans')
```
## Expected results
The dataset would be downloaded with no issue.
## Actual results
```
ConnectionError: Couldn't reach https://s... | 23 | Cannot load beans dataset (Couldn't reach the dataset)
## Describe the bug
The beans dataset is unavailable to download.
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset('beans')
```
## Expected results
The dataset would be downloaded with no issue.
## Actual ... | [
-0.4721037447452545,
0.2937532067298889,
-0.16326172649860382,
0.4070332646369934,
0.3040822148323059,
0.002488046884536743,
0.1432955116033554,
0.007078506052494049,
-0.04815194010734558,
0.2847830057144165,
-0.0638594776391983,
0.36830946803092957,
-0.01640799269080162,
0.361032485961914... |
https://github.com/huggingface/datasets/issues/3888 | IterableDataset columns and feature types | @lhoestq so in order to address what’s not completed in this issue, do you think it makes sense to add a param `features` to `IterableDataset.map` so that the output features right after the `map` are defined there? | Right now, an IterableDataset (e.g. when streaming a dataset) doesn't require to know the list of columns it contains, nor their types: `my_iterable_dataset.features` may be `None`
However it's often interesting to know the column types and types. This helps knowing what's inside your dataset without having to manua... | 37 | IterableDataset columns and feature types
Right now, an IterableDataset (e.g. when streaming a dataset) doesn't require to know the list of columns it contains, nor their types: `my_iterable_dataset.features` may be `None`
However it's often interesting to know the column types and types. This helps knowing what's... | [
-0.345829039812088,
-0.03658246248960495,
-0.09445714950561523,
-0.19148214161396027,
0.3538818359375,
-0.060715414583683014,
0.4520321488380432,
0.18342328071594238,
0.18687251210212708,
0.12598203122615814,
0.20759451389312744,
0.1828855574131012,
-0.29392388463020325,
0.3534750044345855... |
https://github.com/huggingface/datasets/issues/3888 | IterableDataset columns and feature types | @lhoestq cool then if you agree I can work on that! I’ll also update the docs accordingly once done, thanks! | Right now, an IterableDataset (e.g. when streaming a dataset) doesn't require to know the list of columns it contains, nor their types: `my_iterable_dataset.features` may be `None`
However it's often interesting to know the column types and types. This helps knowing what's inside your dataset without having to manua... | 20 | IterableDataset columns and feature types
Right now, an IterableDataset (e.g. when streaming a dataset) doesn't require to know the list of columns it contains, nor their types: `my_iterable_dataset.features` may be `None`
However it's often interesting to know the column types and types. This helps knowing what's... | [
-0.444637268781662,
-0.0764056146144867,
-0.10013417899608612,
-0.022534646093845367,
0.29643088579177856,
0.06714210659265518,
0.39079222083091736,
0.1923757940530777,
0.33650025725364685,
0.2634657323360443,
0.03578291833400726,
0.1314990222454071,
-0.2347068041563034,
0.4166553318500519... |
https://github.com/huggingface/datasets/issues/3888 | IterableDataset columns and feature types | I've already started with a PR as a draft @lhoestq, should we also try to look for a way to explicitly request pre-fetching right after a map operation is applied, so that the features are inferred if the user says explicitly so? Thanks! | Right now, an IterableDataset (e.g. when streaming a dataset) doesn't require to know the list of columns it contains, nor their types: `my_iterable_dataset.features` may be `None`
However it's often interesting to know the column types and types. This helps knowing what's inside your dataset without having to manua... | 43 | IterableDataset columns and feature types
Right now, an IterableDataset (e.g. when streaming a dataset) doesn't require to know the list of columns it contains, nor their types: `my_iterable_dataset.features` may be `None`
However it's often interesting to know the column types and types. This helps knowing what's... | [
-0.3794456422328949,
-0.1121738851070404,
-0.048046041280031204,
-0.0016452819108963013,
0.24092215299606323,
-0.03550305962562561,
0.32073599100112915,
0.16656126081943512,
0.3237762153148651,
0.27321675419807434,
0.13899226486682892,
0.012926191091537476,
-0.15598084032535553,
0.36539509... |
https://github.com/huggingface/datasets/issues/3888 | IterableDataset columns and feature types | > should we also try to look for a way to explicitly request pre-fetching right after a map operation is applied, so that the features are inferred if the user says explicitly so?
Right now one can use `ds = ds._resolve_features()` do to so. It can be used after `map` or `load_dataset` if the features are not known.... | Right now, an IterableDataset (e.g. when streaming a dataset) doesn't require to know the list of columns it contains, nor their types: `my_iterable_dataset.features` may be `None`
However it's often interesting to know the column types and types. This helps knowing what's inside your dataset without having to manua... | 66 | IterableDataset columns and feature types
Right now, an IterableDataset (e.g. when streaming a dataset) doesn't require to know the list of columns it contains, nor their types: `my_iterable_dataset.features` may be `None`
However it's often interesting to know the column types and types. This helps knowing what's... | [
-0.3393744230270386,
-0.12804053723812103,
-0.05538415163755417,
-0.0033454522490501404,
0.22570432722568512,
-0.06992135941982269,
0.3674064874649048,
0.1738416701555252,
0.3320353031158447,
0.29572001099586487,
0.07677536457777023,
0.04853132367134094,
-0.15181183815002441,
0.35509356856... |
https://github.com/huggingface/datasets/issues/3881 | How to use Image folder | Hi @INF800,
Please note that the `imagefolder` feature enhancement was just recently merged to our master branch (https://github.com/huggingface/datasets/commit/207be676bffe9d164740a41a883af6125edef135), but has not yet been released.
We are planning to make the 2.0 release of our library in the coming days and t... | Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError Trace... | 140 | How to use Image folder
Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError ... | [
-0.2858946919441223,
0.07919441163539886,
-0.16414369642734528,
0.519249439239502,
0.39786988496780396,
0.19424113631248474,
0.3166288137435913,
0.14290893077850342,
0.04558452591300011,
0.17036841809749603,
0.07837368547916412,
-0.013808638788759708,
-0.20191234350204468,
0.09910792857408... |
https://github.com/huggingface/datasets/issues/3881 | How to use Image folder | Hey @albertvillanova. Does this load entire dataset in memory? Because I am facing huge trouble with loading very big datasets (OOM errors) | Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError Trace... | 22 | How to use Image folder
Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError ... | [
-0.2858946919441223,
0.07919441163539886,
-0.16414369642734528,
0.519249439239502,
0.39786988496780396,
0.19424113631248474,
0.3166288137435913,
0.14290893077850342,
0.04558452591300011,
0.17036841809749603,
0.07837368547916412,
-0.013808638788759708,
-0.20191234350204468,
0.09910792857408... |
https://github.com/huggingface/datasets/issues/3881 | How to use Image folder | Can you provide the error stack trace? The loader only stores the `data_files` dict, which can get big after globbing. Then, the OOM error would mean you don't have enough memory to keep all the paths to the image files. You can circumvent this by generating an archive and loading the dataset from there. Maybe we can o... | Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError Trace... | 73 | How to use Image folder
Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError ... | [
-0.2858946919441223,
0.07919441163539886,
-0.16414369642734528,
0.519249439239502,
0.39786988496780396,
0.19424113631248474,
0.3166288137435913,
0.14290893077850342,
0.04558452591300011,
0.17036841809749603,
0.07837368547916412,
-0.013808638788759708,
-0.20191234350204468,
0.09910792857408... |
https://github.com/huggingface/datasets/issues/3881 | How to use Image folder | Hey, memory error is resolved. It was fluke.
But there is another issue. Currently `load_dataset("imagefolder", data_dir="./path/to/train",)` takes only `train` as arg to `split` parameter.
I am creating vaildation dataset using
```
ds_valid = datasets.DatasetDict(valid=load_dataset("imagefolder", data_dir=".... | Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError Trace... | 36 | How to use Image folder
Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError ... | [
-0.2858946919441223,
0.07919441163539886,
-0.16414369642734528,
0.519249439239502,
0.39786988496780396,
0.19424113631248474,
0.3166288137435913,
0.14290893077850342,
0.04558452591300011,
0.17036841809749603,
0.07837368547916412,
-0.013808638788759708,
-0.20191234350204468,
0.09910792857408... |
https://github.com/huggingface/datasets/issues/3881 | How to use Image folder | `data_dir="path/to/folder"` is a shorthand syntax fox `data_files={"train": "path/to/folder/**"}`, so use `data_files` in that case instead:
```python
ds = load_dataset("imagefolder", data_files={"train": "path/to/train/**", "test": "path/to/test/**", "valid": "path/to/valid/**"})
``` | Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError Trace... | 26 | How to use Image folder
Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError ... | [
-0.2858946919441223,
0.07919441163539886,
-0.16414369642734528,
0.519249439239502,
0.39786988496780396,
0.19424113631248474,
0.3166288137435913,
0.14290893077850342,
0.04558452591300011,
0.17036841809749603,
0.07837368547916412,
-0.013808638788759708,
-0.20191234350204468,
0.09910792857408... |
https://github.com/huggingface/datasets/issues/3881 | How to use Image folder | And there was another issue. I loaded black and white images (jpeg file). Using load dataset. It reads it as PIL jpeg data format. But instead of converting it into 3 channel tensor, input to collator function is coming as a single channel tensor. | Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError Trace... | 44 | How to use Image folder
Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError ... | [
-0.2858946919441223,
0.07919441163539886,
-0.16414369642734528,
0.519249439239502,
0.39786988496780396,
0.19424113631248474,
0.3166288137435913,
0.14290893077850342,
0.04558452591300011,
0.17036841809749603,
0.07837368547916412,
-0.013808638788759708,
-0.20191234350204468,
0.09910792857408... |
https://github.com/huggingface/datasets/issues/3881 | How to use Image folder | We don't apply any additional preprocessing on top of `PIL.Image.open(image_file)`, so you need to do the conversion yourself:
```python
def to_rgb(batch):
batch["image"] = [img.convert("RGB") for img in batch["image"]]
return batch
ds_rgb = ds.map(to_rgb, batched=True)
```
Please use our Forum for... | Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError Trace... | 47 | How to use Image folder
Ran this code
```
load_dataset("imagefolder", data_dir="./my-dataset")
```
`https://raw.githubusercontent.com/huggingface/datasets/master/datasets/imagefolder/imagefolder.py` missing
```
---------------------------------------------------------------------------
FileNotFoundError ... | [
-0.2858946919441223,
0.07919441163539886,
-0.16414369642734528,
0.519249439239502,
0.39786988496780396,
0.19424113631248474,
0.3166288137435913,
0.14290893077850342,
0.04558452591300011,
0.17036841809749603,
0.07837368547916412,
-0.013808638788759708,
-0.20191234350204468,
0.09910792857408... |
https://github.com/huggingface/datasets/issues/3872 | HTTP error 504 Server Error: Gateway Time-out | yes but is there any way you could try pushing with `git` command line directly instead of `push_to_hub`? | I am trying to push a large dataset(450000+) records with the help of `push_to_hub()`
While pushing, it gives some error like this.
```
Traceback (most recent call last):
File "data_split_speech.py", line 159, in <module>
data_new_2.push_to_hub("user-name/dataset-name",private=True)
File "/opt/conda/lib... | 18 | HTTP error 504 Server Error: Gateway Time-out
I am trying to push a large dataset(450000+) records with the help of `push_to_hub()`
While pushing, it gives some error like this.
```
Traceback (most recent call last):
File "data_split_speech.py", line 159, in <module>
data_new_2.push_to_hub("user-name/dat... | [
-0.45946937799453735,
-0.34232935309410095,
-0.0652928352355957,
0.13714537024497986,
0.14353975653648376,
-0.05058145523071289,
-0.019497331231832504,
0.41117945313453674,
-0.3377407491207123,
-0.24126912653446198,
0.047866903245449066,
0.10722585022449493,
0.1604776531457901,
0.461572319... |
https://github.com/huggingface/datasets/issues/3872 | HTTP error 504 Server Error: Gateway Time-out | Okay. I didnt saved the dataset to my local machine. So, I processed the dataset and pushed it directly to the hub. I think I should try saving those dataset to my local machine by `save_to_disk` and then push it with git command line | I am trying to push a large dataset(450000+) records with the help of `push_to_hub()`
While pushing, it gives some error like this.
```
Traceback (most recent call last):
File "data_split_speech.py", line 159, in <module>
data_new_2.push_to_hub("user-name/dataset-name",private=True)
File "/opt/conda/lib... | 44 | HTTP error 504 Server Error: Gateway Time-out
I am trying to push a large dataset(450000+) records with the help of `push_to_hub()`
While pushing, it gives some error like this.
```
Traceback (most recent call last):
File "data_split_speech.py", line 159, in <module>
data_new_2.push_to_hub("user-name/dat... | [
-0.36487138271331787,
-0.4170038104057312,
-0.048948608338832855,
0.2769414782524109,
0.09378377348184586,
0.04587586969137192,
-0.0634879320859909,
0.3118470311164856,
-0.36931154131889343,
-0.25901490449905396,
-0.0208439864218235,
0.0318310521543026,
0.14565333724021912,
0.4787338972091... |
https://github.com/huggingface/datasets/issues/3872 | HTTP error 504 Server Error: Gateway Time-out | `push_to_hub` is the preferred way of uploading a dataset to the Hub, which can then be reloaded with `load_dataset`. Feel free to try again and see if the server is working as expected now. Maybe we can add a retry mechanism in the meantime to workaround 504 errors.
Regarding `save_to_disk`, this must only be used ... | I am trying to push a large dataset(450000+) records with the help of `push_to_hub()`
While pushing, it gives some error like this.
```
Traceback (most recent call last):
File "data_split_speech.py", line 159, in <module>
data_new_2.push_to_hub("user-name/dataset-name",private=True)
File "/opt/conda/lib... | 93 | HTTP error 504 Server Error: Gateway Time-out
I am trying to push a large dataset(450000+) records with the help of `push_to_hub()`
While pushing, it gives some error like this.
```
Traceback (most recent call last):
File "data_split_speech.py", line 159, in <module>
data_new_2.push_to_hub("user-name/dat... | [
-0.3772861659526825,
-0.4499163031578064,
-0.05284123122692108,
0.19174320995807648,
0.07237014174461365,
-0.020948246121406555,
-0.04381437227129936,
0.3406633138656616,
-0.3123439848423004,
-0.2927144169807434,
0.0463637039065361,
0.10223044455051422,
0.21579429507255554,
0.4923061728477... |
https://github.com/huggingface/datasets/issues/3869 | Making the Hub the place for datasets in Portuguese | Hi @omarespejel! I think the philosophy for `datasets` issues is to create concrete issues with proposals to add a specific, individual dataset rather than umbrella issues for things such as datasets for a language, since we could end up with hundreds of issues (one per language). I see NILC - USP has many datasets, I ... | Let's make Hugging Face Datasets the central hub for datasets in Portuguese :)
**Motivation**. Datasets are currently quite scattered and an open-source central point such as the Hugging Face Hub would be ideal to support the growth of the Portuguese speaking community.
What are some datasets in Portuguese worth ... | 114 | Making the Hub the place for datasets in Portuguese
Let's make Hugging Face Datasets the central hub for datasets in Portuguese :)
**Motivation**. Datasets are currently quite scattered and an open-source central point such as the Hugging Face Hub would be ideal to support the growth of the Portuguese speaking co... | [
-0.1315915435552597,
-0.16614043712615967,
-0.10737137496471405,
0.1489170789718628,
0.13004887104034424,
0.07393739372491837,
-0.06666764616966248,
0.13297036290168762,
-0.011032020673155785,
0.12169477343559265,
-0.16813714802265167,
-0.1752087026834488,
-0.27940526604652405,
0.359737128... |
https://github.com/huggingface/datasets/issues/3861 | big_patent cased version | To follow up on this: the cased and uncased versions actually contain different content, and the cased one is easier since it contains a Summary of the Invention in the input.
See the paper describing the issue here:
https://aclanthology.org/2022.gem-1.34/ | Hi! I am interested in working with the big_patent dataset.
In Tensorflow, there are a number of versions of the dataset:
- 1.0.0 : lower cased tokenized words
- 2.0.0 : Update to use cased raw strings
- 2.1.2 (default): Fix update to cased raw strings.
The version in the huggingface `datasets` library is th... | 39 | big_patent cased version
Hi! I am interested in working with the big_patent dataset.
In Tensorflow, there are a number of versions of the dataset:
- 1.0.0 : lower cased tokenized words
- 2.0.0 : Update to use cased raw strings
- 2.1.2 (default): Fix update to cased raw strings.
The version in the huggingfa... | [
-0.29635563492774963,
-0.3385946750640869,
-0.03500346466898918,
0.17709413170814514,
0.016487836837768555,
0.10124131292104721,
0.1457868069410324,
0.24699321389198303,
0.022616185247898102,
0.0014173835515975952,
0.06292110681533813,
-0.2668645679950714,
-0.32085639238357544,
0.248805388... |
https://github.com/huggingface/datasets/issues/3861 | big_patent cased version | Thanks for proposing the addition of the cased version of this dataset and for pinging again recently.
I have just merged a PR that adds the cased version: https://huggingface.co/datasets/big_patent/discussions/3
The cased version (2.1.2) is the default one:
```python
ds = load_dataset("big_patent", "all")
```... | Hi! I am interested in working with the big_patent dataset.
In Tensorflow, there are a number of versions of the dataset:
- 1.0.0 : lower cased tokenized words
- 2.0.0 : Update to use cased raw strings
- 2.1.2 (default): Fix update to cased raw strings.
The version in the huggingface `datasets` library is th... | 68 | big_patent cased version
Hi! I am interested in working with the big_patent dataset.
In Tensorflow, there are a number of versions of the dataset:
- 1.0.0 : lower cased tokenized words
- 2.0.0 : Update to use cased raw strings
- 2.1.2 (default): Fix update to cased raw strings.
The version in the huggingfa... | [
-0.29173389077186584,
-0.2924851179122925,
-0.03984275832772255,
0.06837593764066696,
0.0190461203455925,
0.16050118207931519,
0.15711259841918945,
0.2511802911758423,
-0.08451364934444427,
-0.03758107125759125,
-0.002141679637134075,
-0.17317132651805878,
-0.32748445868492126,
0.209654286... |
https://github.com/huggingface/datasets/issues/3859 | Unable to dowload big_patent (FileNotFoundError) | Hi @slvcsl, thanks for reporting.
Yesterday we just made a patch release of our `datasets` library that fixes this issue: version 1.18.4.
https://pypi.org/project/datasets/#history
Please, feel free to update `datasets` library to the latest version:
```shell
pip install -U datasets
```
And then you should ... | ## Describe the bug
I am trying to download some splits of the big_patent dataset, using the following code:
`ds = load_dataset("big_patent", "g", split="validation", download_mode="force_redownload")
`
However, this leads to a FileNotFoundError.
FileNotFoundError Traceback (most recent... | 115 | Unable to dowload big_patent (FileNotFoundError)
## Describe the bug
I am trying to download some splits of the big_patent dataset, using the following code:
`ds = load_dataset("big_patent", "g", split="validation", download_mode="force_redownload")
`
However, this leads to a FileNotFoundError.
FileNotFoundE... | [
-0.409182608127594,
-0.12928347289562225,
0.0641917735338211,
0.30275532603263855,
0.05070797726511955,
0.025050029158592224,
0.4245096445083618,
0.520084798336029,
0.5669483542442322,
-0.12240219116210938,
-0.2795088589191437,
0.014819661155343056,
-0.012764335609972477,
0.091613583266735... |
https://github.com/huggingface/datasets/issues/3857 | Order of dataset changes due to glob.glob. | I agree using `glob.glob` alone is bad practice because it's not deterministic. Using `sorted` is a nice solution.
Note that the `xglob` function you are referring to in the `streaming_download_manager.py` code just extends `glob.glob` for URLs - we don't change its behavior. That's why it has no `sorted()` | ## Describe the bug
After discussion with @lhoestq, just want to mention here that `glob.glob(...)` should always be used in combination with `sorted(...)` to make sure the list of files returned by `glob.glob(...)` doesn't change depending on the OS system.
There are currently multiple datasets that use `glob.g... | 48 | Order of dataset changes due to glob.glob.
## Describe the bug
After discussion with @lhoestq, just want to mention here that `glob.glob(...)` should always be used in combination with `sorted(...)` to make sure the list of files returned by `glob.glob(...)` doesn't change depending on the OS system.
There are... | [
-0.0024276189506053925,
-0.3010301887989044,
-0.11895674467086792,
0.10309352725744247,
0.18960238993167877,
-0.30356696248054504,
0.24733750522136688,
-0.09922124445438385,
0.09327229857444763,
0.15001608431339264,
-0.2698247730731964,
-0.023424910381436348,
0.035651739686727524,
0.082858... |
https://github.com/huggingface/datasets/issues/3855 | Bad error message when loading private dataset | We raise the error “ FileNotFoundError: can’t find the dataset” mainly to follow best practice in security (otherwise users could be able to guess what private repositories users/orgs may have)
We can indeed reformulate this and add the "If this is a private repository,..." part ! | ## Describe the bug
A pretty common behavior of an interaction between the Hub and datasets is the following.
An organization adds a dataset in private mode and wants to load it afterward.
```python
from transformers import load_dataset
ds = load_dataset("NewT5/dummy_data", "dummy")
```
This command th... | 46 | Bad error message when loading private dataset
## Describe the bug
A pretty common behavior of an interaction between the Hub and datasets is the following.
An organization adds a dataset in private mode and wants to load it afterward.
```python
from transformers import load_dataset
ds = load_dataset("Ne... | [
-0.13395632803440094,
-0.0272287055850029,
0.07090653479099274,
0.517871081829071,
0.14277496933937073,
0.0169358029961586,
0.5494260787963867,
0.17654740810394287,
0.2100435197353363,
0.1455807089805603,
-0.4457779824733734,
0.0675094872713089,
-0.030568130314350128,
-0.05276184529066086,... |
https://github.com/huggingface/datasets/issues/3854 | load only England English dataset from common voice english dataset | Hi @amanjaiswal777,
First note that the dataset you are trying to load is deprecated: it was the Common Voice dataset release as of Dec 2020.
Currently, Common Voice dataset releases are directly hosted on the Hub, under the Mozilla Foundation organization: https://huggingface.co/mozilla-foundation
For example... | training_data = load_dataset("common_voice", "en",split='train[:250]+validation[:250]')
testing_data = load_dataset("common_voice", "en", split="test[:200]")
I'm trying to load only 8% of the English common voice data with accent == "England English." Can somebody assist me with this?
**Typical Voice Accent Prop... | 172 | load only England English dataset from common voice english dataset
training_data = load_dataset("common_voice", "en",split='train[:250]+validation[:250]')
testing_data = load_dataset("common_voice", "en", split="test[:200]")
I'm trying to load only 8% of the English common voice data with accent == "England Engl... | [
-0.1626528948545456,
0.006646186113357544,
-0.06801306456327438,
-0.07248738408088684,
0.1917736828327179,
0.1446112096309662,
0.5200457572937012,
0.24015355110168457,
0.014608405530452728,
0.0860583484172821,
-0.4945830702781677,
-0.2602890729904175,
0.2044372409582138,
-0.156159758567810... |
https://github.com/huggingface/datasets/issues/3854 | load only England English dataset from common voice english dataset | Hey @albertvillanova trying the same approach as you with the common_voice_16_1 dataset. What I'm trying to do is to filter the valencian accent in the catalan subset. Gave me this error and I have everything it asks for decoding mp3:
![image](https://github.com/huggingface/datasets/assets/96977715/7ec02483-e728-4358-... | training_data = load_dataset("common_voice", "en",split='train[:250]+validation[:250]')
testing_data = load_dataset("common_voice", "en", split="test[:200]")
I'm trying to load only 8% of the English common voice data with accent == "England English." Can somebody assist me with this?
**Typical Voice Accent Prop... | 42 | load only England English dataset from common voice english dataset
training_data = load_dataset("common_voice", "en",split='train[:250]+validation[:250]')
testing_data = load_dataset("common_voice", "en", split="test[:200]")
I'm trying to load only 8% of the English common voice data with accent == "England Engl... | [
-0.269739031791687,
-0.09674128890037537,
-0.09815074503421783,
-0.08765330910682678,
0.23183292150497437,
0.0189887136220932,
0.24800816178321838,
0.25847193598747253,
-0.07169759273529053,
0.3009399175643921,
-0.5380932688713074,
-0.1090533658862114,
0.10190687328577042,
-0.1895164549350... |
https://github.com/huggingface/datasets/issues/3851 | Load audio dataset error | Hi @lemoner20, thanks for reporting.
I'm sorry but I cannot reproduce your problem:
```python
In [1]: from datasets import load_dataset, load_metric, Audio
...: raw_datasets = load_dataset("superb", "ks", split="train")
...: print(raw_datasets[0]["audio"])
Downloading builder script: 30.2kB [00:00, 13.0MB... | ## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb", "ks", split="train")
prin... | 178 | Load audio dataset error
## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb",... | [
-0.37698861956596375,
-0.11540660262107849,
-0.030820168554782867,
0.3962247967720032,
0.45797091722488403,
0.06998445838689804,
0.2902418375015259,
0.3150891661643982,
-0.053028419613838196,
0.17489753663539886,
-0.5356048345565796,
0.3172008693218231,
-0.2974059581756592,
0.0095627661794... |
https://github.com/huggingface/datasets/issues/3851 | Load audio dataset error | @albertvillanova Thanks for your reply. The environment info below
## Environment info
- `datasets` version: 1.18.3
- Platform: Linux-4.19.91-007.ali4000.alios7.x86_64-x86_64-with-debian-buster-sid
- Python version: 3.6.12
- PyArrow version: 6.0.1 | ## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb", "ks", split="train")
prin... | 27 | Load audio dataset error
## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb",... | [
-0.37698861956596375,
-0.11540660262107849,
-0.030820168554782867,
0.3962247967720032,
0.45797091722488403,
0.06998445838689804,
0.2902418375015259,
0.3150891661643982,
-0.053028419613838196,
0.17489753663539886,
-0.5356048345565796,
0.3172008693218231,
-0.2974059581756592,
0.0095627661794... |
https://github.com/huggingface/datasets/issues/3851 | Load audio dataset error | Thanks @lemoner20,
I cannot reproduce your issue in datasets version 1.18.3 either.
Maybe redownloading the data file may work if you had already cached this dataset previously. Could you please try passing "force_redownload"?
```python
raw_datasets = load_dataset("superb", "ks", split="train", download_mode="f... | ## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb", "ks", split="train")
prin... | 40 | Load audio dataset error
## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb",... | [
-0.37698861956596375,
-0.11540660262107849,
-0.030820168554782867,
0.3962247967720032,
0.45797091722488403,
0.06998445838689804,
0.2902418375015259,
0.3150891661643982,
-0.053028419613838196,
0.17489753663539886,
-0.5356048345565796,
0.3172008693218231,
-0.2974059581756592,
0.0095627661794... |
https://github.com/huggingface/datasets/issues/3851 | Load audio dataset error | @albertvillanova, you can actually reproduce the error if you reach the cell `common_voice_train[0]["path"]` of this [notebook](https://colab.research.google.com/github/patrickvonplaten/notebooks/blob/master/Fine_Tune_XLSR_Wav2Vec2_on_Turkish_ASR_with_%F0%9F%A4%97_Transformers.ipynb#scrollTo=_0kRndSvqaKk). Error gets s... | ## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb", "ks", split="train")
prin... | 29 | Load audio dataset error
## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb",... | [
-0.37698861956596375,
-0.11540660262107849,
-0.030820168554782867,
0.3962247967720032,
0.45797091722488403,
0.06998445838689804,
0.2902418375015259,
0.3150891661643982,
-0.053028419613838196,
0.17489753663539886,
-0.5356048345565796,
0.3172008693218231,
-0.2974059581756592,
0.0095627661794... |
https://github.com/huggingface/datasets/issues/3851 | Load audio dataset error | @jvel07, thanks for reporting and finding a solution.
Maybe we could tell @patrickvonplaten about the version pinning issue in his notebook. | ## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb", "ks", split="train")
prin... | 21 | Load audio dataset error
## Load audio dataset error
Hi, when I load audio dataset following https://huggingface.co/docs/datasets/audio_process and https://github.com/huggingface/datasets/tree/master/datasets/superb,
```
from datasets import load_dataset, load_metric, Audio
raw_datasets = load_dataset("superb",... | [
-0.37698861956596375,
-0.11540660262107849,
-0.030820168554782867,
0.3962247967720032,
0.45797091722488403,
0.06998445838689804,
0.2902418375015259,
0.3150891661643982,
-0.053028419613838196,
0.17489753663539886,
-0.5356048345565796,
0.3172008693218231,
-0.2974059581756592,
0.0095627661794... |
https://github.com/huggingface/datasets/issues/3848 | NonMatchingChecksumError when checksum is None | Hi @jxmorris12, thanks for reporting.
The objective of `verify_checksums` is to check that both checksums are equal. Therefore if one is None and the other is non-None, they are not equal, and the function accordingly raises a NonMatchingChecksumError. That behavior is expected.
The question is: how did you gener... | I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': 'efb4cbd3aa4a87bfaffc310ae951981cc0a36c6c71c64... | 157 | NonMatchingChecksumError when checksum is None
I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum... | [
-0.2320745587348938,
0.005118116736412048,
-0.0630754828453064,
0.011416986584663391,
0.039370615035295486,
-0.0018275007605552673,
0.06372731924057007,
0.21398396790027618,
0.22390511631965637,
0.24077868461608887,
0.2089289128780365,
-0.1715058982372284,
-0.1793844997882843,
-0.168630599... |
https://github.com/huggingface/datasets/issues/3848 | NonMatchingChecksumError when checksum is None | Thanks @albertvillanova!
That's fine. I did run that command when I was adding a new dataset. Maybe because the command crashed in the middle, the checksum wasn't stored properly. I don't know where the bug is happening. But either (i) `verify_checksums` should properly handle this edge case, where the passed checks... | I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': 'efb4cbd3aa4a87bfaffc310ae951981cc0a36c6c71c64... | 133 | NonMatchingChecksumError when checksum is None
I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum... | [
-0.2320745587348938,
0.005118116736412048,
-0.0630754828453064,
0.011416986584663391,
0.039370615035295486,
-0.0018275007605552673,
0.06372731924057007,
0.21398396790027618,
0.22390511631965637,
0.24077868461608887,
0.2089289128780365,
-0.1715058982372284,
-0.1793844997882843,
-0.168630599... |
https://github.com/huggingface/datasets/issues/3848 | NonMatchingChecksumError when checksum is None | Hi @jxmorris12,
Definitely, your `dataset_infos.json` was corrupted (and wrongly contains expected None checksum).
While we further investigate how this can happen and fix it, feel free to delete your `dataset_infos.json` file and recreate it with:
```shell
datasets-cli test <your-dataset-folder> --save_infos ... | I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': 'efb4cbd3aa4a87bfaffc310ae951981cc0a36c6c71c64... | 77 | NonMatchingChecksumError when checksum is None
I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum... | [
-0.2320745587348938,
0.005118116736412048,
-0.0630754828453064,
0.011416986584663391,
0.039370615035295486,
-0.0018275007605552673,
0.06372731924057007,
0.21398396790027618,
0.22390511631965637,
0.24077868461608887,
0.2089289128780365,
-0.1715058982372284,
-0.1793844997882843,
-0.168630599... |
https://github.com/huggingface/datasets/issues/3848 | NonMatchingChecksumError when checksum is None | At a higher level, also note that we are preparing the release of `datasets` version 2.0, and some docs are being updated...
In order to add a dataset, I think the most updated instructions are in our official documentation pages: https://huggingface.co/docs/datasets/share | I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': 'efb4cbd3aa4a87bfaffc310ae951981cc0a36c6c71c64... | 41 | NonMatchingChecksumError when checksum is None
I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum... | [
-0.2320745587348938,
0.005118116736412048,
-0.0630754828453064,
0.011416986584663391,
0.039370615035295486,
-0.0018275007605552673,
0.06372731924057007,
0.21398396790027618,
0.22390511631965637,
0.24077868461608887,
0.2089289128780365,
-0.1715058982372284,
-0.1793844997882843,
-0.168630599... |
https://github.com/huggingface/datasets/issues/3848 | NonMatchingChecksumError when checksum is None | Hi @jxmorris12, we have discovered the bug why `None` checksums wrongly appeared when generating the `dataset_infos.json` file:
- #3892
The fix will be accessible once this PR merged. And we are planning to do our 2.0 release today.
We are also working on updating all our docs for our release today. | I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': 'efb4cbd3aa4a87bfaffc310ae951981cc0a36c6c71c64... | 51 | NonMatchingChecksumError when checksum is None
I ran into the following error when adding a new dataset:
```bash
expected_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum': None, 'num_bytes': 40662}}
recorded_checksums = {'https://adversarialglue.github.io/dataset/dev.zip': {'checksum... | [
-0.2320745587348938,
0.005118116736412048,
-0.0630754828453064,
0.011416986584663391,
0.039370615035295486,
-0.0018275007605552673,
0.06372731924057007,
0.21398396790027618,
0.22390511631965637,
0.24077868461608887,
0.2089289128780365,
-0.1715058982372284,
-0.1793844997882843,
-0.168630599... |
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