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https://api.github.com/repos/huggingface/datasets/issues/3391 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3391/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3391/comments | https://api.github.com/repos/huggingface/datasets/issues/3391/events | https://github.com/huggingface/datasets/issues/3391 | 1,072,849,055 | I_kwDODunzps4_8mCf | 3,391 | method to select columns | {
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"duplicate of #2655"
] | 1,638,845,059,000 | 1,638,845,127,000 | 1,638,845,127,000 | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
* There is currently no way to select some columns of a dataset. In pandas, one can use `df[['col1', 'col2']]` to select columns, but in `datasets`, it results in error.
**Describe the solution you'd like**
* A new method that can be used to create a new dataset with only a list of specified columns.
**Describe alternatives you've considered**
`.remove_columns(self, columns: Union[str, List[str]], inverse: bool = False)`
Or
`.select(self, indices: Iterable = None, columns: List[str] = None)`
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https://api.github.com/repos/huggingface/datasets/issues/3390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3390/comments | https://api.github.com/repos/huggingface/datasets/issues/3390/events | https://github.com/huggingface/datasets/issues/3390 | 1,072,462,456 | I_kwDODunzps4_7Hp4 | 3,390 | Loading dataset throws "KeyError: 'Field "builder_name" does not exist in table schema'" | {
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"Got solved it with push_to_hub, closing"
] | 1,638,814,969,000 | 1,638,822,125,000 | 1,638,822,125,000 | NONE | null | ## Describe the bug
I have prepared dataset to datasets and now I am trying to load it back Finnish-NLP/voxpopuli_fi
I get "KeyError: 'Field "builder_name" does not exist in table schema'"
My dataset folder and files should be like @patrickvonplaten has here https://huggingface.co/datasets/flax-community/german-common-voice-processed
How my voxpopuli dataset looks like:
Part of the processing (path column is the absolute path to audio files)
```
def add_audio_column(example):
example['audio'] = example['path']
return example
voxpopuli = voxpopuli.map(add_audio_column)
voxpopuli.cast_column("audio", Audio())
voxpopuli["audio"] <-- to my knowledge this does load the local files and prepares those arrays
voxpopuli = voxpopuli.cast_column("audio", Audio(sampling_rate=16_000)) resampling 16kHz
```
I have then saved it to disk_
`voxpopuli.save_to_disk('/asr_disk/datasets_processed_new/voxpopuli')`
and made folder structure same as @patrickvonplaten
I also get same error while trying to load_dataset from his repo:
## Steps to reproduce the bug
```python
dataset = load_dataset("Finnish-NLP/voxpopuli_fi")
```
## Expected results
Dataset is loaded correctly and looks like in the first picture
## Actual results
Loading throws keyError:
KeyError: 'Field "builder_name" does not exist in table schema'
Resources I have been trying to follow:
https://huggingface.co/docs/datasets/audio_process.html
https://huggingface.co/docs/datasets/share_dataset.html
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.16.2.dev0
- Platform: Ubuntu 20.04.2 LTS
- Python version: 3.8.12
- PyArrow version: 6.0.1
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https://api.github.com/repos/huggingface/datasets/issues/3388 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3388/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3388/comments | https://api.github.com/repos/huggingface/datasets/issues/3388/events | https://github.com/huggingface/datasets/pull/3388 | 1,072,022,021 | PR_kwDODunzps4vbnyY | 3,388 | Fix flaky test of the temporary directory used by load_from_disk | {
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"CI failed because of a server error - merging"
] | 1,638,788,971,000 | 1,638,789,903,000 | 1,638,789,889,000 | MEMBER | null | The test is flaky, here is an example of random CI failure:
https://github.com/huggingface/datasets/commit/73ed6615b4b3eb74d5311684f7b9e05cdb76c989
I fixed that by not checking the content of the random part of the temporary directory name | {
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https://api.github.com/repos/huggingface/datasets/issues/3386 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3386/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3386/comments | https://api.github.com/repos/huggingface/datasets/issues/3386/events | https://github.com/huggingface/datasets/pull/3386 | 1,071,813,141 | PR_kwDODunzps4va7-2 | 3,386 | Fix typos in dataset cards | {
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} | [] | closed | false | null | [] | null | [] | 1,638,775,240,000 | 1,638,783,055,000 | 1,638,783,054,000 | MEMBER | null | This PR:
- Fix typos in dataset cards
- Fix Papers With Code ID for:
- Bilingual Corpus of Arabic-English Parallel Tweets
- Tweets Hate Speech Detection
- Add pretty name tags | {
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https://api.github.com/repos/huggingface/datasets/issues/3381 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3381/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3381/comments | https://api.github.com/repos/huggingface/datasets/issues/3381/events | https://github.com/huggingface/datasets/issues/3381 | 1,071,283,879 | I_kwDODunzps4_2n6n | 3,381 | Unable to load audio_features from common_voice dataset | {
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"Hi ! Feel free to access `batch[\"audio\"][\"array\"]` and `batch[\"audio\"][\"sampling_rate\"]` instead\r\n\r\n`datasets` 1.16 introduced some changes in `common_voice` and now the `path` field is no longer a path to a local file (but rather the path to the file in the archive it's extracted from)",
"Thanks for... | 1,638,647,951,000 | 1,638,813,162,000 | 1,638,813,162,000 | NONE | null | ## Describe the bug
I am not able to load audio features from common_voice dataset
## Steps to reproduce the bug
```
from datasets import load_dataset
import torchaudio
test_dataset = load_dataset("common_voice", "hi", split="test[:2%]")
resampler = torchaudio.transforms.Resample(48_000, 16_000)
def speech_file_to_array_fn(batch):
speech_array, sampling_rate = torchaudio.load(batch["path"])
batch["speech"] = resampler(speech_array).squeeze().numpy()
return batch
test_dataset = test_dataset.map(speech_file_to_array_fn)
```
## Expected results
This piece of code should return test_dataset after loading audio features.
## Actual results
Reusing dataset common_voice (/home/jovyan/.cache/huggingface/datasets/common_voice/hi/6.1.0/b879a355caa529b11f2249400b61cadd0d9433f334d5c60f8c7216ccedfecfe1)
/opt/conda/lib/python3.7/site-packages/transformers/configuration_utils.py:341: UserWarning: Passing `gradient_checkpointing` to a config initialization is deprecated and will be removed in v5 Transformers. Using `model.gradient_checkpointing_enable()` instead, or if you are using the `Trainer` API, pass `gradient_checkpointing=True` in your `TrainingArguments`.
"Passing `gradient_checkpointing` to a config initialization is deprecated and will be removed in v5 "
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
0%| | 0/3 [00:00<?, ?ex/s]formats: can't open input file `common_voice_hi_23795358.mp3': No such file or directory
0%| | 0/3 [00:00<?, ?ex/s]
Traceback (most recent call last):
File "demo_file.py", line 23, in <module>
test_dataset = test_dataset.map(speech_file_to_array_fn)
File "/opt/conda/lib/python3.7/site-packages/datasets/arrow_dataset.py", line 2036, in map
desc=desc,
File "/opt/conda/lib/python3.7/site-packages/datasets/arrow_dataset.py", line 518, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
File "/opt/conda/lib/python3.7/site-packages/datasets/arrow_dataset.py", line 485, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kwargs)
File "/opt/conda/lib/python3.7/site-packages/datasets/fingerprint.py", line 411, in wrapper
out = func(self, *args, **kwargs)
File "/opt/conda/lib/python3.7/site-packages/datasets/arrow_dataset.py", line 2368, in _map_single
example = apply_function_on_filtered_inputs(example, i, offset=offset)
File "/opt/conda/lib/python3.7/site-packages/datasets/arrow_dataset.py", line 2277, in apply_function_on_filtered_inputs
processed_inputs = function(*fn_args, *additional_args, **fn_kwargs)
File "/opt/conda/lib/python3.7/site-packages/datasets/arrow_dataset.py", line 1978, in decorated
result = f(decorated_item, *args, **kwargs)
File "demo_file.py", line 19, in speech_file_to_array_fn
speech_array, sampling_rate = torchaudio.load(batch["path"])
File "/opt/conda/lib/python3.7/site-packages/torchaudio/backend/sox_io_backend.py", line 154, in load
filepath, frame_offset, num_frames, normalize, channels_first, format)
RuntimeError: Error loading audio file: failed to open file common_voice_hi_23795358.mp3
## Environment info
- `datasets` version: 1.16.1
- Platform: Linux-4.14.243 with-debian-bullseye-sid
- Python version: 3.7.9
- PyArrow version: 6.0.1
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https://api.github.com/repos/huggingface/datasets/issues/3370 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3370/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3370/comments | https://api.github.com/repos/huggingface/datasets/issues/3370/events | https://github.com/huggingface/datasets/pull/3370 | 1,069,735,423 | PR_kwDODunzps4vUVA3 | 3,370 | Document a training loop for streaming dataset | {
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} | [] | closed | false | null | [] | null | [] | 1,638,461,820,000 | 1,638,538,475,000 | 1,638,538,474,000 | MEMBER | null | I added some docs about streaming dataset. In particular I added two subsections:
- one on how to use `map` for preprocessing
- one on how to use a streaming dataset in a pytorch training loop
cc @patrickvonplaten @stevhliu if you have some comments
cc @Rocketknight1 later we can add the one for TF and I might need your help ^^' | {
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} | [] | closed | false | null | [] | null | [] | 1,638,442,340,000 | 1,638,460,118,000 | 1,638,460,117,000 | MEMBER | null | Currently, the `source_datasets` tag validation does not support passing a dict with configuration keys.
This PR:
- Extends `tagset_validator` to support regex tags
- Uses `tagset_validator` to validate dict `source_datasets` | {
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https://api.github.com/repos/huggingface/datasets/issues/3367 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3367/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3367/comments | https://api.github.com/repos/huggingface/datasets/issues/3367/events | https://github.com/huggingface/datasets/pull/3367 | 1,069,241,274 | PR_kwDODunzps4vSsfk | 3,367 | Fix typo in other-structured-to-text task tag | {
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} | [] | closed | false | null | [] | null | [] | 1,638,432,147,000 | 1,638,461,234,000 | 1,638,461,233,000 | MEMBER | null | Fix typo in task tag:
- `other-stuctured-to-text` (before)
- `other-structured-to-text` (now) | {
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https://api.github.com/repos/huggingface/datasets/issues/3363 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3363/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3363/comments | https://api.github.com/repos/huggingface/datasets/issues/3363/events | https://github.com/huggingface/datasets/pull/3363 | 1,068,824,340 | PR_kwDODunzps4vRVCl | 3,363 | Update URL of Jeopardy! dataset | {
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"Closing this PR in favor of #3266."
] | 1,638,389,290,000 | 1,638,534,901,000 | 1,638,534,901,000 | CONTRIBUTOR | null | Updates the URL of the Jeopardy! dataset.
Fix #3361 | {
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https://api.github.com/repos/huggingface/datasets/issues/3361 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3361/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3361/comments | https://api.github.com/repos/huggingface/datasets/issues/3361/events | https://github.com/huggingface/datasets/issues/3361 | 1,068,736,268 | I_kwDODunzps4_s58M | 3,361 | Jeopardy _URL access denied | {
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] | closed | false | null | [] | null | [] | 1,638,382,893,000 | 1,638,789,391,000 | 1,638,789,391,000 | NONE | null | ## Describe the bug
http://skeeto.s3.amazonaws.com/share/JEOPARDY_QUESTIONS1.json.gz returns Access Denied now.
However, https://drive.google.com/file/d/0BwT5wj_P7BKXb2hfM3d2RHU1ckE/view?usp=sharing from the original Reddit post https://www.reddit.com/r/datasets/comments/1uyd0t/200000_jeopardy_questions_in_a_json_file/ may work.
## Steps to reproduce the bug
```shell
> python
Python 3.7.12 (default, Sep 5 2021, 08:34:29)
[Clang 11.0.3 (clang-1103.0.32.62)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
```
```python
>>> from datasets import load_dataset
>>> load_dataset("jeopardy")
```
## Expected results
The download completes.
## Actual results
```shell
Downloading: 4.18kB [00:00, 1.60MB/s]
Downloading: 2.03kB [00:00, 1.04MB/s]
Using custom data configuration default
Downloading and preparing dataset jeopardy/default (download: 12.13 MiB, generated: 34.46 MiB, post-processed: Unknown size, total: 46.59 MiB) to /Users/mike/.cache/huggingface/datasets/jeopardy/default/0.1.0/25ee3e4a73755e637b8810f6493fd36e4523dea3ca8a540529d0a6e24c7f9810...
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/load.py", line 1632, in load_dataset
use_auth_token=use_auth_token,
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/builder.py", line 608, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/builder.py", line 675, in _download_and_prepare
split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
File "/Users/mike/.cache/huggingface/modules/datasets_modules/datasets/jeopardy/25ee3e4a73755e637b8810f6493fd36e4523dea3ca8a540529d0a6e24c7f9810/jeopardy.py", line 72, in _split_generators
filepath = dl_manager.download_and_extract(_DATA_URL)
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 284, in download_and_extract
return self.extract(self.download(url_or_urls))
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 197, in download
download_func, url_or_urls, map_tuple=True, num_proc=download_config.num_proc, disable_tqdm=False
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/py_utils.py", line 197, in map_nested
return function(data_struct)
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 217, in _download
return cached_path(url_or_filename, download_config=download_config)
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 305, in cached_path
use_auth_token=download_config.use_auth_token,
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 594, in get_from_cache
raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach http://skeeto.s3.amazonaws.com/share/JEOPARDY_QUESTIONS1.json.gz
```
---
```shell
> curl http://skeeto.s3.amazonaws.com/share/JEOPARDY_QUESTIONS1.json.gz
```
```xml
<?xml version="1.0" encoding="UTF-8"?>
<Error><Code>AccessDenied</Code><Message>Access Denied</Message><RequestId>70Y9R36XNPEQXMGV</RequestId><HostId>G6F5AK4qo7JdaEdKGMtS0P6gdLPeFOdEfSEfvTOZEfk9km0/jAfp08QLfKSTFFj1oWIKoAoBehM=</HostId></Error>
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.14.0
- Platform: macOS Catalina 10.15.7
- Python version: 3.7.12
- PyArrow version: 6.0.1
| {
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https://api.github.com/repos/huggingface/datasets/issues/3360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3360/comments | https://api.github.com/repos/huggingface/datasets/issues/3360/events | https://github.com/huggingface/datasets/pull/3360 | 1,068,724,697 | PR_kwDODunzps4vQ_16 | 3,360 | Add The Pile USPTO subset | {
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} | [] | closed | false | null | [] | null | [] | 1,638,382,085,000 | 1,638,531,929,000 | 1,638,531,928,000 | MEMBER | null | Add:
- USPTO subset of The Pile: "uspto" config
Close bigscience-workshop/data_tooling#297.
CC: @StellaAthena | {
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https://api.github.com/repos/huggingface/datasets/issues/3359 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3359/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3359/comments | https://api.github.com/repos/huggingface/datasets/issues/3359/events | https://github.com/huggingface/datasets/pull/3359 | 1,068,638,213 | PR_kwDODunzps4vQtI0 | 3,359 | Add The Pile Free Law subset | {
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"@albertvillanova Is there a specific reason you’re adding the Pile under “the” instead of under “pile”? That does not appear to be consistent with other datasets.",
"Hi @StellaAthena,\r\n\r\nI asked myself the same question, but at the end I decided to be consistent with previously added Pile subsets:\r\n- #2817... | 1,638,377,164,000 | 1,638,785,537,000 | 1,638,379,844,000 | MEMBER | null | Add:
- Free Law subset of The Pile: "free_law" config
Close bigscience-workshop/data_tooling#75.
CC: @StellaAthena | {
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https://api.github.com/repos/huggingface/datasets/issues/3358 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3358/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3358/comments | https://api.github.com/repos/huggingface/datasets/issues/3358/events | https://github.com/huggingface/datasets/issues/3358 | 1,068,623,216 | I_kwDODunzps4_seVw | 3,358 | add new field, and get errors | {
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"Hi, \r\n\r\ncould you please post this question on our [Forum](https://discuss.huggingface.co/) as we keep issues for bugs and feature requests? ",
"> Hi,\r\n> \r\n> could you please post this question on our [Forum](https://discuss.huggingface.co/) as we keep issues for bugs and feature requests?\r\n\r\nok."
] | 1,638,376,538,000 | 1,638,411,982,000 | 1,638,411,982,000 | NONE | null | after adding new field **tokenized_examples["example_id"]**, and get errors below,
I think it is due to changing data to tensor, and **tokenized_examples["example_id"]** is string list
**all fields**
```
***************** train_dataset 1: Dataset({
features: ['attention_mask', 'end_positions', 'example_id', 'input_ids', 'start_positions', 'token_type_ids'],
num_rows: 87714
})
```
**Errors**
```
Traceback (most recent call last):
File "/usr/local/lib/python3.7/site-packages/transformers/tokenization_utils_base.py", line 705, in convert_to_tensors
tensor = as_tensor(value)
ValueError: too many dimensions 'str'
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/3354 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3354/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3354/comments | https://api.github.com/repos/huggingface/datasets/issues/3354/events | https://github.com/huggingface/datasets/pull/3354 | 1,068,307,271 | PR_kwDODunzps4vPl9d | 3,354 | Remove duplicate name from dataset cards | {
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- ajgt_twitter_ar
- emotone_ar | {
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https://api.github.com/repos/huggingface/datasets/issues/3353 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3353/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3353/comments | https://api.github.com/repos/huggingface/datasets/issues/3353/events | https://github.com/huggingface/datasets/issues/3353 | 1,068,173,783 | I_kwDODunzps4_qwnX | 3,353 | add one field "example_id", but I can't see it in the "comput_loss" function | {
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"Hi ! Your function looks fine, I used to map `squad` locally and it indeed added the `example_id` field correctly.\r\n\r\nHowever I think that in the `compute_loss` method only a subset of the fields are available: the model inputs. Since `example_id` is not a model input (it's not passed as a parameter to the mod... | 1,638,351,309,000 | 1,638,374,559,000 | 1,638,374,559,000 | NONE | null | Hi, I add one field **example_id**, but I can't see it in the **comput_loss** function, how can I do this? below is the information of inputs
```
*********************** inputs: {'attention_mask': tensor([[1, 1, 1, ..., 0, 0, 0],
[1, 1, 1, ..., 0, 0, 0],
[1, 1, 1, ..., 0, 0, 0],
...,
[1, 1, 1, ..., 0, 0, 0],
[1, 1, 1, ..., 0, 0, 0],
[1, 1, 1, ..., 0, 0, 0]], device='cuda:0'), 'end_positions': tensor([ 25, 97, 93, 44, 25, 112, 109, 134], device='cuda:0'), 'input_ids': tensor([[ 101, 2054, 2390, ..., 0, 0, 0],
[ 101, 2054, 2515, ..., 0, 0, 0],
[ 101, 2054, 2106, ..., 0, 0, 0],
...,
[ 101, 2339, 2001, ..., 0, 0, 0],
[ 101, 2054, 2515, ..., 0, 0, 0],
[ 101, 2054, 2003, ..., 0, 0, 0]], device='cuda:0'), 'start_positions': tensor([ 20, 90, 89, 41, 25, 96, 106, 132], device='cuda:0'), 'token_type_ids': tensor([[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
...,
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0],
[0, 0, 0, ..., 0, 0, 0]], device='cuda:0')}
```
```
# This function preprocesses a question answering dataset, tokenizing the question and context text
# and finding the right offsets for the answer spans in the tokenized context (to use as labels).
# Adapted from https://github.com/huggingface/transformers/blob/master/examples/pytorch/question-answering/run_qa.py
def prepare_train_dataset_qa(examples, tokenizer, max_seq_length=None):
questions = [q.lstrip() for q in examples["question"]]
max_seq_length = tokenizer.model_max_length
# tokenize both questions and the corresponding context
# if the context length is longer than max_length, we split it to several
# chunks of max_length
tokenized_examples = tokenizer(
questions,
examples["context"],
truncation="only_second",
max_length=max_seq_length,
stride=min(max_seq_length // 2, 128),
return_overflowing_tokens=True,
return_offsets_mapping=True,
padding="max_length"
)
# Since one example might give us several features if it has a long context,
# we need a map from a feature to its corresponding example.
sample_mapping = tokenized_examples.pop("overflow_to_sample_mapping")
# The offset mappings will give us a map from token to character position
# in the original context. This will help us compute the start_positions
# and end_positions to get the final answer string.
offset_mapping = tokenized_examples.pop("offset_mapping")
tokenized_examples["start_positions"] = []
tokenized_examples["end_positions"] = []
tokenized_examples["example_id"] = []
for i, offsets in enumerate(offset_mapping):
input_ids = tokenized_examples["input_ids"][i]
# We will label features not containing the answer the index of the CLS token.
cls_index = input_ids.index(tokenizer.cls_token_id)
sequence_ids = tokenized_examples.sequence_ids(i)
# from the feature idx to sample idx
sample_index = sample_mapping[i]
# get the answer for a feature
answers = examples["answers"][sample_index]
tokenized_examples["example_id"].append(examples["id"][sample_index])
if len(answers["answer_start"]) == 0:
tokenized_examples["start_positions"].append(cls_index)
tokenized_examples["end_positions"].append(cls_index)
else:
# Start/end character index of the answer in the text.
start_char = answers["answer_start"][0]
end_char = start_char + len(answers["text"][0])
# Start token index of the current span in the text.
token_start_index = 0
while sequence_ids[token_start_index] != 1:
token_start_index += 1
# End token index of the current span in the text.
token_end_index = len(input_ids) - 1
while sequence_ids[token_end_index] != 1:
token_end_index -= 1
# Detect if the answer is out of the span (in which case this feature is labeled with the CLS index).
if not (offsets[token_start_index][0] <= start_char and
offsets[token_end_index][1] >= end_char):
tokenized_examples["start_positions"].append(cls_index)
tokenized_examples["end_positions"].append(cls_index)
else:
# Otherwise move the token_start_index and token_end_index to the two ends of the answer.
# Note: we could go after the last offset if the answer is the last word (edge case).
while token_start_index < len(offsets) and \
offsets[token_start_index][0] <= start_char:
token_start_index += 1
tokenized_examples["start_positions"].append(
token_start_index - 1)
while offsets[token_end_index][1] >= end_char:
token_end_index -= 1
tokenized_examples["end_positions"].append(token_end_index + 1)
return tokenized_examples
```
_Originally posted by @yanllearnn in https://github.com/huggingface/datasets/issues/3333#issuecomment-983457161_ | {
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https://api.github.com/repos/huggingface/datasets/issues/3352 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3352/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3352/comments | https://api.github.com/repos/huggingface/datasets/issues/3352/events | https://github.com/huggingface/datasets/pull/3352 | 1,068,102,994 | PR_kwDODunzps4vO6uZ | 3,352 | Make LABR dataset streamable | {
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} | [] | closed | false | null | [] | null | [] | 1,638,346,947,000 | 1,638,355,742,000 | 1,638,355,741,000 | MEMBER | null | Fix LABR dataset to make it streamable.
Related to: #3350. | {
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https://api.github.com/repos/huggingface/datasets/issues/3350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3350/comments | https://api.github.com/repos/huggingface/datasets/issues/3350/events | https://github.com/huggingface/datasets/pull/3350 | 1,068,078,160 | PR_kwDODunzps4vO1aj | 3,350 | Avoid content-encoding issue while streaming datasets | {
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} | [] | closed | false | null | [] | null | [] | 1,638,345,408,000 | 1,638,346,501,000 | 1,638,346,500,000 | MEMBER | null | This PR will fix streaming of datasets served with gzip content-encoding:
```
ClientPayloadError: 400, message='Can not decode content-encoding: gzip'
```
Fix #2918.
CC: @severo | {
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https://api.github.com/repos/huggingface/datasets/issues/3347 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3347/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3347/comments | https://api.github.com/repos/huggingface/datasets/issues/3347/events | https://github.com/huggingface/datasets/pull/3347 | 1,067,738,902 | PR_kwDODunzps4vNthw | 3,347 | iter_archive for zip files | {
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"And also don't always try streaming with Google Drive - it can have issues because of how Google Drive works (with quotas, restrictions, etc.) and it can indeed cause `BlockSizeError`.\r\n\r\nFeel free to host your test data elsewhere, such as in a dataset repository on https://huggingface.co (see [here](https://h... | 1,638,311,657,000 | 1,638,577,342,000 | 1,638,577,331,000 | CONTRIBUTOR | null | * In this PR, I added the option to iterate through zipfiles for `download_manager.py` only.
* Next PR will be the same applied to `streaming_download_manager.py`.
* Related issue #3272.
## Comments :
* There is no `.isreg()` equivalent in zipfile library to check if file is Regular so I used `.is_dir()` instead to skip directories.
* For now I got `streaming_download_manager.py` working for local zip files, but not for urls. I get the following error when I test it on an archive in google drive, so still working on it. `BlockSizeError: Got more bytes so far (>2112) than requested (22)`
## Tasks :
- [x] download_manager.py
- [ ] streaming_download_manager.py | {
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"Scratch that, probably the old and incompatible usage of dataset builder from promptsource.",
"Actually, re-opening this issue cause the error persists\r\n\r\n```python\r\n>>> load_dataset(\"qed\")\r\nDownloading and preparing dataset qed/qed (download: 13.43 MiB, generated: 9.70 MiB, post-processed: Unknown siz... | 1,638,303,102,000 | 1,638,304,581,000 | 1,638,304,581,000 | NONE | null | ## Describe the bug
Loading QED was fine until 1.15.0.
related: bigscience-workshop/promptsource#659, bigscience-workshop/promptsource#670
Not sure where the root cause is, but here are some candidates:
- #3158
- #3120
- #3196
- #2891
## Steps to reproduce the bug
```python
load_dataset("qed")
```
## Expected results
Loading completed.
## Actual results
```shell
ArrowInvalid: Could not convert in with type str: tried to convert to boolean
Traceback:
File "/Users/s0s0cr3/Library/Python/3.9/lib/python/site-packages/streamlit/script_runner.py", line 354, in _run_script
exec(code, module.__dict__)
File "/Users/s0s0cr3/Documents/GitHub/promptsource/promptsource/app.py", line 260, in <module>
dataset = get_dataset(dataset_key, str(conf_option.name) if conf_option else None)
File "/Users/s0s0cr3/Library/Python/3.9/lib/python/site-packages/streamlit/caching.py", line 543, in wrapped_func
return get_or_create_cached_value()
File "/Users/s0s0cr3/Library/Python/3.9/lib/python/site-packages/streamlit/caching.py", line 527, in get_or_create_cached_value
return_value = func(*args, **kwargs)
File "/Users/s0s0cr3/Documents/GitHub/promptsource/promptsource/utils.py", line 49, in get_dataset
builder_instance.download_and_prepare()
File "/Users/s0s0cr3/Library/Python/3.9/lib/python/site-packages/datasets/builder.py", line 607, in download_and_prepare
self._download_and_prepare(
File "/Users/s0s0cr3/Library/Python/3.9/lib/python/site-packages/datasets/builder.py", line 697, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/Users/s0s0cr3/Library/Python/3.9/lib/python/site-packages/datasets/builder.py", line 1106, in _prepare_split
num_examples, num_bytes = writer.finalize()
File "/Users/s0s0cr3/Library/Python/3.9/lib/python/site-packages/datasets/arrow_writer.py", line 456, in finalize
self.write_examples_on_file()
File "/Users/s0s0cr3/Library/Python/3.9/lib/python/site-packages/datasets/arrow_writer.py", line 325, in write_examples_on_file
pa_array = pa.array(typed_sequence)
File "pyarrow/array.pxi", line 222, in pyarrow.lib.array
File "pyarrow/array.pxi", line 110, in pyarrow.lib._handle_arrow_array_protocol
File "/Users/s0s0cr3/Library/Python/3.9/lib/python/site-packages/datasets/arrow_writer.py", line 121, in __arrow_array__
out = pa.array(cast_to_python_objects(self.data, only_1d_for_numpy=True), type=type)
File "pyarrow/array.pxi", line 305, in pyarrow.lib.array
File "pyarrow/array.pxi", line 39, in pyarrow.lib._sequence_to_array
File "pyarrow/error.pxi", line 122, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 84, in pyarrow.lib.check_status
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.15.0, 1.16.1
- Platform: macOS 1.15.7 or above
- Python version: 3.7.12 and 3.9
- PyArrow version: 3.0.0, 5.0.0, 6.0.1
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https://api.github.com/repos/huggingface/datasets/issues/3345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3345/comments | https://api.github.com/repos/huggingface/datasets/issues/3345/events | https://github.com/huggingface/datasets/issues/3345 | 1,067,622,951 | I_kwDODunzps4_oqIn | 3,345 | Failed to download species_800 from Google Drive zip file | {
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"name": "bug",
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"default": true,
"description": "Something isn't working"
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] | closed | false | null | [] | null | [
"Hi,\r\n\r\nthe dataset is downloaded normally on my machine. Maybe the URL was down at the time of your download. Could you try again?",
"> Hi,\r\n> \r\n> the dataset is downloaded normally on my machine. Maybe the URL was down at the time of your download. Could you try again?\r\n\r\nI have tried that many time... | 1,638,302,428,000 | 1,638,381,195,000 | 1,638,381,195,000 | NONE | null | ## Describe the bug
One can manually download the zip file on Google Drive, but `load_dataset()` cannot.
related: #3248
## Steps to reproduce the bug
```shell
> python
Python 3.7.12 (default, Sep 5 2021, 08:34:29)
[Clang 11.0.3 (clang-1103.0.32.62)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
```
```python
>>> from datasets import load_dataset
>>> s800 = load_dataset("species_800")
```
## Expected results
species_800 downloaded.
## Actual results
```shell
Downloading: 5.68kB [00:00, 1.22MB/s]
Downloading: 2.70kB [00:00, 691kB/s]
Downloading and preparing dataset species800/species_800 (download: 17.36 MiB, generated: 3.53 MiB, post-processed: Unknown size, total: 20.89 MiB) to /Users/mike/.cache/huggingface/datasets/species800/species_800/1.0.0/532167f0bb8fbc0d77d6d03c4fd642c8c55527b9c5f2b1da77f3d00b0e559976...
0%| | 0/1 [00:00<?, ?it/s]Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/load.py", line 1632, in load_dataset
use_auth_token=use_auth_token,
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/builder.py", line 608, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/builder.py", line 675, in _download_and_prepare
split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
File "/Users/mike/.cache/huggingface/modules/datasets_modules/datasets/species_800/532167f0bb8fbc0d77d6d03c4fd642c8c55527b9c5f2b1da77f3d00b0e559976/species_800.py", line 104, in _split_generators
downloaded_files = dl_manager.download_and_extract(urls_to_download)
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 284, in download_and_extract
return self.extract(self.download(url_or_urls))
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 197, in download
download_func, url_or_urls, map_tuple=True, num_proc=download_config.num_proc, disable_tqdm=False
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/py_utils.py", line 209, in map_nested
for obj in utils.tqdm(iterable, disable=disable_tqdm)
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/py_utils.py", line 209, in <listcomp>
for obj in utils.tqdm(iterable, disable=disable_tqdm)
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/py_utils.py", line 143, in _single_map_nested
return function(data_struct)
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 217, in _download
return cached_path(url_or_filename, download_config=download_config)
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 305, in cached_path
use_auth_token=download_config.use_auth_token,
File "/Users/mike/Library/Caches/pypoetry/virtualenvs/promptsource-hsdAcWsQ-py3.7/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 594, in get_from_cache
raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach https://drive.google.com/u/0/uc?id=1OletxmPYNkz2ltOr9pyT0b0iBtUWxslh&export=download/
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.14,0 1.15.0, 1.16.1
- Platform: macOS Catalina 10.15.7
- Python version: 3.7.12
- PyArrow version: 6.0.1
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https://api.github.com/repos/huggingface/datasets/issues/3344 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3344/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3344/comments | https://api.github.com/repos/huggingface/datasets/issues/3344/events | https://github.com/huggingface/datasets/pull/3344 | 1,067,567,603 | PR_kwDODunzps4vNJwd | 3,344 | Add ArrayXD docs | {
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} | [] | closed | false | null | [] | null | [] | 1,638,298,411,000 | 1,638,389,763,000 | 1,638,387,332,000 | CONTRIBUTOR | null | Documents support for dynamic first dimension in `ArrayXD` from #2891, and explain the `ArrayXD` feature in general.
Let me know if I'm missing anything @lhoestq :) | {
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https://api.github.com/repos/huggingface/datasets/issues/3343 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3343/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3343/comments | https://api.github.com/repos/huggingface/datasets/issues/3343/events | https://github.com/huggingface/datasets/pull/3343 | 1,067,505,507 | PR_kwDODunzps4vM8yB | 3,343 | Better error message when download fails | {
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} | [] | closed | false | null | [] | null | [] | 1,638,293,930,000 | 1,638,358,079,000 | 1,638,358,078,000 | MEMBER | null | From our discussions in https://github.com/huggingface/datasets/issues/3269 and https://github.com/huggingface/datasets/issues/3282 it would be nice to have better messages if a download fails.
In particular the error now shows:
- the error from the HEAD request if there's one
- otherwise the response code of the HEAD request
I also added an error to tell users to pass `use_auth_token` when the Hugging Face Hub returns 401 (Unauthorized).
While paying around with this I also fixed a minor issue with the `force_download` parameter that was not always taken into account | {
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https://api.github.com/repos/huggingface/datasets/issues/3340 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3340/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3340/comments | https://api.github.com/repos/huggingface/datasets/issues/3340/events | https://github.com/huggingface/datasets/pull/3340 | 1,067,292,636 | PR_kwDODunzps4vMP6Z | 3,340 | Fix JSON ClassLabel casting for integers | {
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} | [] | closed | false | null | [] | null | [] | 1,638,281,994,000 | 1,638,358,050,000 | 1,638,358,050,000 | MEMBER | null | Loading a JSON dataset with ClassLabel feature types currently fails if the JSON data already has integers. Indeed currently it tries to convert the strings to integers without even checking if the data are not integers already.
For example this currently fails:
```python
from datasets import load_dataset, Features, ClassLabel
path = "data.json"
f = Features({"a": ClassLabel(names=["neg", "pos"])})
d = load_dataset("json", data_files=path, features=f)
```
data.json
```json
{"a": 0}
{"a": 1}
```
I fixed that by adding a line that checks the type of the JSON data before trying to convert them
cc @albertvillanova let me know if it sounds good to you | {
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"Hi ! The message you're getting is not an error. It simply says that your JSON dataset is being prepared to a location in `/root/.cache/huggingface/datasets`",
"> \r\n\r\nbut I want to load local JSON file by command\r\n`python3 run.py --do_train --task qa --dataset squad-retrain-data/train-v2.0.json --output_di... | 1,638,109,798,000 | 1,638,351,271,000 | 1,638,331,068,000 | NONE | null | Hi, does this bug be fixed? when I load JSON files, I get the same errors by the command
`!python3 run.py --do_train --task qa --dataset squad-retrain-data/train-v2.0.json --output_dir ./re_trained_model/`
change the dateset to load json by refering to https://huggingface.co/docs/datasets/loading.html
`dataset = datasets.load_dataset('json', data_files=args.dataset)`
Errors:
`Downloading and preparing dataset json/default (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /root/.cache/huggingface/datasets/json/default-c1e124ad488911b8/0.0.0/45636811569ec4a6630521c18235dfbbab83b7ab572e3393c5ba68ccabe98264...
`
_Originally posted by @yanllearnn in https://github.com/huggingface/datasets/issues/730#issuecomment-981095050_ | {
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https://api.github.com/repos/huggingface/datasets/issues/3332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3332/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3332/comments | https://api.github.com/repos/huggingface/datasets/issues/3332/events | https://github.com/huggingface/datasets/pull/3332 | 1,065,345,853 | PR_kwDODunzps4vGBig | 3,332 | Fix error message and add extension fallback | {
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} | [] | closed | false | null | [] | null | [] | 1,638,109,529,000 | 1,638,192,855,000 | 1,638,192,854,000 | CONTRIBUTOR | null | Fix the error message raised if `infered_module_name` is `None` in `CommunityDatasetModuleFactoryWithoutScript.get_module` and make `infer_module_for_data_files` more robust.
In the linked issue, `infer_module_for_data_files` returns `None` because `json` is the second most common extension due to the suffix ordering. Now, we go from the most common to the least common extension and try to map it or return `None`.
Fix #3331 | {
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https://api.github.com/repos/huggingface/datasets/issues/3331 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3331/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3331/comments | https://api.github.com/repos/huggingface/datasets/issues/3331/events | https://github.com/huggingface/datasets/issues/3331 | 1,065,275,896 | I_kwDODunzps4_ftH4 | 3,331 | AttributeError: 'CommunityDatasetModuleFactoryWithoutScript' object has no attribute 'path' | {
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"Hi,\r\n\r\nthe fix was merged and will be available in the next release of `datasets`.\r\nIn the meantime, you can use it by installing `datasets` directly from master as follows:\r\n```\r\npip install git+https://github.com/huggingface/datasets.git\r\n```"
] | 1,638,089,645,000 | 1,638,193,784,000 | 1,638,192,854,000 | NONE | null | ## Describe the bug
I add a new question answering dataset to huggingface datasets manually. Here is the link: [luozhouyang/question-answering-datasets](https://huggingface.co/datasets/luozhouyang/question-answering-datasets)
But when I load the dataset, an error raised:
```bash
AttributeError: 'CommunityDatasetModuleFactoryWithoutScript' object has no attribute 'path'
```
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("luozhouyang/question-answering-datasets", data_files=["dureader_robust.train.json"])
```
## Expected results
Load dataset successfully without any error.
## Actual results
```bash
Traceback (most recent call last):
File "/mnt/home/zhouyang.lzy/github/naivenlp/naivenlp/tests/question_answering_tests/dataset_test.py", line 89, in test_load_dataset_with_hf
data_files=["dureader_robust.train.json"],
File "/mnt/home/zhouyang.lzy/.conda/envs/naivenlp/lib/python3.6/site-packages/datasets/load.py", line 1616, in load_dataset
**config_kwargs,
File "/mnt/home/zhouyang.lzy/.conda/envs/naivenlp/lib/python3.6/site-packages/datasets/load.py", line 1443, in load_dataset_builder
path, revision=revision, download_config=download_config, download_mode=download_mode, data_files=data_files
File "/mnt/home/zhouyang.lzy/.conda/envs/naivenlp/lib/python3.6/site-packages/datasets/load.py", line 1157, in dataset_module_factory
raise e1 from None
File "/mnt/home/zhouyang.lzy/.conda/envs/naivenlp/lib/python3.6/site-packages/datasets/load.py", line 1144, in dataset_module_factory
download_mode=download_mode,
File "/mnt/home/zhouyang.lzy/.conda/envs/naivenlp/lib/python3.6/site-packages/datasets/load.py", line 798, in get_module
raise FileNotFoundError(f"No data files or dataset script found in {self.path}")
AttributeError: 'CommunityDatasetModuleFactoryWithoutScript' object has no attribute 'path'
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.15.1
- Platform: linux
- Python version: 3.6.13
- PyArrow version: 6.0.1
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https://api.github.com/repos/huggingface/datasets/issues/3330 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3330/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3330/comments | https://api.github.com/repos/huggingface/datasets/issues/3330/events | https://github.com/huggingface/datasets/pull/3330 | 1,065,176,619 | PR_kwDODunzps4vFtF7 | 3,330 | Change TriviaQA license (#3313) | {
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https://api.github.com/repos/huggingface/datasets/issues/3329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3329/comments | https://api.github.com/repos/huggingface/datasets/issues/3329/events | https://github.com/huggingface/datasets/issues/3329 | 1,065,096,971 | I_kwDODunzps4_fBcL | 3,329 | Map function: Type error on iter #999 | {
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"Hi, thanks for reporting.\r\n\r\nIt would be really helpful if you could provide the actual code of the `text_numbers_to_int` function so we can reproduce the error.",
"```\r\ndef text_numbers_to_int(text, column=\"\"):\r\n \"\"\"\r\n Convert text numbers to int.\r\n\r\n :param text: text numbers\r\n ... | 1,638,035,585,000 | 1,638,218,415,000 | 1,638,218,415,000 | NONE | null | ## Describe the bug
Using the map function, it throws a type error on iter #999
Here is the code I am calling:
```
dataset = datasets.load_dataset('squad')
dataset['validation'].map(text_numbers_to_int, input_columns=['context'], fn_kwargs={'column': 'context'})
```
text_numbers_to_int returns the input text with numbers replaced in the format {'context': text}
It happens at
`
File "C:\Users\lonek\anaconda3\envs\ai\Lib\site-packages\datasets\arrow_writer.py", line 289, in <listcomp>
[row[0][col] for row in self.current_examples], type=col_type, try_type=col_try_type, col=col
`
The issue is that the list comprehension expects self.current_examples to be type tuple(dict, str), but for some reason 26 out of 1000 of the sefl.current_examples are type tuple(str, str)
Here is an example of what self.current_examples should be
({'context': 'Super Bowl 50 was an...merals 50.'}, '')
Here is an example of what self.current_examples are when it throws the error:
('The Panthers used th... Marriott.', '')
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https://api.github.com/repos/huggingface/datasets/issues/3328 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3328/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3328/comments | https://api.github.com/repos/huggingface/datasets/issues/3328/events | https://github.com/huggingface/datasets/pull/3328 | 1,065,015,262 | PR_kwDODunzps4vFTpW | 3,328 | Quick fix error formatting | {
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} | [] | closed | false | null | [] | null | [] | 1,638,013,668,000 | 1,638,192,762,000 | 1,638,192,762,000 | CONTRIBUTOR | null | While working on a dataset, I got the error
```
TypeError: Provided `function` which is applied to all elements of table returns a `dict` of types {[type(x) for x in processed_inputs.values()]}. When using `batched=True`, make sure provided `function` returns a `dict` of types like `{allowed_batch_return_types}`.
```
This PR should fix the formatting of this error | {
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https://api.github.com/repos/huggingface/datasets/issues/3327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3327/comments | https://api.github.com/repos/huggingface/datasets/issues/3327/events | https://github.com/huggingface/datasets/issues/3327 | 1,064,675,888 | I_kwDODunzps4_daow | 3,327 | "Shape of query is incorrect, it has to be either a 1D array or 2D (1, N)" | {
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"#3323 "
] | 1,637,943,996,000 | 1,637,945,051,000 | 1,637,945,051,000 | CONTRIBUTOR | null | ## Describe the bug
Passing a correctly shaped Numpy-Array to get_nearest_examples leads to the Exception
"Shape of query is incorrect, it has to be either a 1D array or 2D (1, N)"
Probably the reason for this is a wrongly converted assertion.
1.15.1:
`assert len(query.shape) == 1 or (len(query.shape) == 2 and query.shape[0] == 1)`
1.16.1:
```
if len(query.shape) != 1 or (len(query.shape) == 2 and query.shape[0] != 1):
raise ValueError("Shape of query is incorrect, it has to be either a 1D array or 2D (1, N)")
```
## Steps to reproduce the bug
follow the steps described here: https://huggingface.co/course/chapter5/6?fw=tf
```python
question_embedding.shape # (1, 768)
scores, samples = embeddings_dataset.get_nearest_examples(
"embeddings", question_embedding, k=5 # Error
)
# "Shape of query is incorrect, it has to be either a 1D array or 2D (1, N)"
```
## Expected results
Should work without exception
## Actual results
Throws exception
## Environment info
- `datasets` version: 1.15.1
- Platform: Darwin-20.6.0-x86_64-i386-64bit
- Python version: 3.7.12
- PyArrow version: 6.0.
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To fix this I inverted the order of the `inject_arrow_table_documentation` and `classmethod` decorators
Fix #3324 | {
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https://api.github.com/repos/huggingface/datasets/issues/3325 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3325/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3325/comments | https://api.github.com/repos/huggingface/datasets/issues/3325/events | https://github.com/huggingface/datasets/pull/3325 | 1,064,663,075 | PR_kwDODunzps4vEaGO | 3,325 | Update conda dependencies | {
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https://api.github.com/repos/huggingface/datasets/issues/3324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3324/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3324/comments | https://api.github.com/repos/huggingface/datasets/issues/3324/events | https://github.com/huggingface/datasets/issues/3324 | 1,064,661,212 | I_kwDODunzps4_dXDc | 3,324 | Can't import `datasets` in python 3.10 | {
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"followers_url": "https://api.git... | null | [] | 1,637,942,774,000 | 1,637,944,283,000 | 1,637,944,283,000 | MEMBER | null | When importing `datasets` I'm getting this error in python 3.10:
```python
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/Users/quentinlhoest/Desktop/hf/nlp/src/datasets/__init__.py", line 34, in <module>
from .arrow_dataset import Dataset, concatenate_datasets
File "/Users/quentinlhoest/Desktop/hf/nlp/src/datasets/arrow_dataset.py", line 47, in <module>
from .arrow_reader import ArrowReader
File "/Users/quentinlhoest/Desktop/hf/nlp/src/datasets/arrow_reader.py", line 33, in <module>
from .table import InMemoryTable, MemoryMappedTable, Table, concat_tables
File "/Users/quentinlhoest/Desktop/hf/nlp/src/datasets/table.py", line 334, in <module>
class InMemoryTable(TableBlock):
File "/Users/quentinlhoest/Desktop/hf/nlp/src/datasets/table.py", line 361, in InMemoryTable
def from_pandas(cls, *args, **kwargs):
File "/Users/quentinlhoest/Desktop/hf/nlp/src/datasets/table.py", line 24, in wrapper
out = wraps(arrow_table_method)(method)
File "/Users/quentinlhoest/.pyenv/versions/3.10.0/lib/python3.10/functools.py", line 61, in update_wrapper
wrapper.__wrapped__ = wrapped
AttributeError: readonly attribute
```
This makes the conda build fail.
I'm opening a PR to fix this and do a patch release 1.16.1 | {
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"Closes #3327 "
] | 1,637,942,739,000 | 1,637,945,052,000 | 1,637,945,051,000 | CONTRIBUTOR | null | Seems like this assertion was replaced by an exception but the condition got wrongly converted. | {
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https://api.github.com/repos/huggingface/datasets/issues/3322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3322/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3322/comments | https://api.github.com/repos/huggingface/datasets/issues/3322/events | https://github.com/huggingface/datasets/pull/3322 | 1,064,429,705 | PR_kwDODunzps4vD1Ct | 3,322 | Add missing tags to XTREME | {
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} | [] | closed | false | null | [] | null | [] | 1,637,930,225,000 | 1,638,193,207,000 | 1,638,193,206,000 | CONTRIBUTOR | null | Add missing tags to the XTREME benchmark for better discoverability. | {
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https://api.github.com/repos/huggingface/datasets/issues/3321 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3321/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3321/comments | https://api.github.com/repos/huggingface/datasets/issues/3321/events | https://github.com/huggingface/datasets/pull/3321 | 1,063,858,386 | PR_kwDODunzps4vCBeI | 3,321 | Update URL of tatoeba subset of xtreme | {
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"<s>To be more precise: `os.path.join` is replaced on-the-fly by `xjoin` anyway with patching, to extend it to remote files</s>",
"Oh actually just ignore what I said: they were used to concatenate URLs, which is not recommended. Let me fix that again by appending using `+`"
] | 1,637,865,751,000 | 1,637,922,630,000 | 1,637,922,630,000 | CONTRIBUTOR | null | Updates the URL of the tatoeba subset of xtreme. Additionally, replaces `os.path.join` with `xjoin` to correctly join the URL segments on Windows.
Fix #3320 | {
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https://api.github.com/repos/huggingface/datasets/issues/3320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3320/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3320/comments | https://api.github.com/repos/huggingface/datasets/issues/3320/events | https://github.com/huggingface/datasets/issues/3320 | 1,063,531,992 | I_kwDODunzps4_ZDXY | 3,320 | Can't get tatoeba.rus dataset | {
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] | closed | false | null | [] | null | [] | 1,637,843,471,000 | 1,637,922,629,000 | 1,637,922,629,000 | NONE | null | ## Describe the bug
It gives an error.
> FileNotFoundError: Couldn't find file at https://github.com/facebookresearch/LASER/raw/master/data/tatoeba/v1/tatoeba.rus-eng.rus
## Steps to reproduce the bug
```python
data=load_dataset("xtreme","tatoeba.rus", split="validation")
```
## Solution
The library tries to access the **master** branch. In the github repo of facebookresearch, it is in the **main** branch. | {
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https://api.github.com/repos/huggingface/datasets/issues/3319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3319/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3319/comments | https://api.github.com/repos/huggingface/datasets/issues/3319/events | https://github.com/huggingface/datasets/pull/3319 | 1,062,749,654 | PR_kwDODunzps4u-xdv | 3,319 | Add push_to_hub docs | {
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"Looks good to me! :)\r\n\r\nMaybe we can mention that users can also set the `private` argument if they want to keep their dataset private? It would lead nicely into the next section on Privacy.",
"Thanks for your comments, I fixed the capitalization for consistency and added an passage to mention the `private` ... | 1,637,778,071,000 | 1,637,851,666,000 | 1,637,851,666,000 | MEMBER | null | Since #3098 it's now possible to upload a dataset on the Hub directly from python using the `push_to_hub` method.
I just added a section in the "Upload a dataset to the Hub" tutorial.
I kept the section quite simple but let me know if it sounds good to you @LysandreJik @stevhliu :) | {
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https://api.github.com/repos/huggingface/datasets/issues/3318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3318/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3318/comments | https://api.github.com/repos/huggingface/datasets/issues/3318/events | https://github.com/huggingface/datasets/pull/3318 | 1,062,369,717 | PR_kwDODunzps4u9m-k | 3,318 | Finish transition to PyArrow 3.0.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/3315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3315/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3315/comments | https://api.github.com/repos/huggingface/datasets/issues/3315/events | https://github.com/huggingface/datasets/pull/3315 | 1,061,678,452 | PR_kwDODunzps4u7WpU | 3,315 | Removing query params for dynamic URL caching | {
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"IMO it makes more sense to have `ignore_url_params` as an attribute of `DownloadConfig` to avoid defining a new argument in `DownloadManger`'s methods.",
"@mariosasko that would make sense to me too, but it seems like `DownloadConfig` wasn't intended to be modified from a dataset loading script. @lhoestq wdyt?",... | 1,637,699,052,000 | 1,637,851,472,000 | 1,637,851,471,000 | CONTRIBUTOR | null | The main use case for this is to make dynamically generated private URLs (like the ones returned by CommonVoice API) compatible with the datasets' caching logic.
Usage example:
```python
import datasets
class CommonVoice(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo()
def _split_generators(self, dl_manager):
dl_manager.download_config.ignore_url_params = True
HUGE_URL = "https://mozilla-common-voice-datasets.s3.dualstack.us-west-2.amazonaws.com/cv-corpus-7.0-2021-07-21/cv-corpus-7.0-2021-07-21-ab.tar.gz?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIAQ3GQRTO3IU5JYB5K%2F20211125%2Fus-west-2%2Fs3%2Faws4_request&X-Amz-Date=20211125T131423Z&X-Amz-Expires=43200&X-Amz-Security-Token=FwoGZXIvYXdzEL7%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaDLsZw7Nj0d9h4rgheyKSBJJ6bxo1JdWLXAUhLMrUB8AXfhP8Ge4F8dtjwXmvGJgkIvdMT7P4YOEE1pS3mW8AyKsz7Z7IRVCIGQrOH1AbxGVVcDoCMMswXEOqL3nJFihKLf99%2F6l8iJVZdzftRUNgMhX5Hz0xSIL%2BzRDpH5nYa7C6YpEdOdW81CFVXybx7WUrX13wc8X4ZlUj7zrWcWf5p2VEIU5Utb7YHVi0Y5TQQiZSDoedQl0j4VmMuFkDzoobIO%2BvilgGeE2kIX0E62X423mEGNu4uQV5JsOuLAtv3GVlemsqEH3ZYrXDuxLmnvGj5HfMtySwI4vKv%2BlnnirD29o7hxvtidXiA8JMWhp93aP%2Fw7sod%2BPPbb5EqP%2B4Qb2GJ1myClOKcLEY0cqoy7XWm8NeVljLJojnFJVS5mNFBAzCCTJ%2FidxNsj8fflzkRoAzYaaPBuOTL1dgtZCdslK3FAuEvw0cik7P9A7IYiULV33otSHKMPcVfNHFsWQljs03gDztsIUWxaXvu6ck5vCcGULsHbfe6xoMPm2bR9jtKLONsslPcnzWIf7%2Fch2w%2F%2BjtTCd9IxaH4kytyJ6mIjpV%2FA%2F2h9qeDnDFsCphnMjAzPQn6tqCgTtPcyJ2b8c94ncgUnE4mepx%2FDa%2FanAEsrg9RPdmbdoPswzHn1IClh91IfSN74u95DZUxlPeZrHG5HxVCN3dKO6j%2Ft1xd20L0hEtazDdKOr8%2FYwGMirp8rp%2BII0pYOwQOrYHqH%2FREX2dRJctJtwE86Qj1eU8BAdXuFIkLC4NWXw%3D&X-Amz-Signature=1b8108d29b0e9c2bf6c7246e58ca8d5749a83de0704757ad8e8a44d78194691f&X-Amz-SignedHeaders=host"
dl_path = dl_manager.download_and_extract(HUGE_URL)
print(dl_path)
HUGE_URL += "&some_new_or_changed_param=12345"
dl_path = dl_manager.download_and_extract(HUGE_URL)
print(dl_path)
dl_manager = datasets.DownloadManager(dataset_name="common_voice")
CommonVoice()._split_generators(dl_manager)
```
Output:
```
/home/user/.cache/huggingface/datasets/downloads/6ef2a377398ff3309554be040caa78414e6562d623dbd0ce8fc262459a7f8ec6
/home/user/.cache/huggingface/datasets/downloads/6ef2a377398ff3309554be040caa78414e6562d623dbd0ce8fc262459a7f8ec6
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/3314 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3314/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3314/comments | https://api.github.com/repos/huggingface/datasets/issues/3314/events | https://github.com/huggingface/datasets/pull/3314 | 1,061,448,227 | PR_kwDODunzps4u6mdX | 3,314 | Adding arg to pass process rank to `map` | {
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"Some commits seem to be there twice (made the mistake of rebasing because I wasn't sure whether the doc had changed), is this an issue @lhoestq ?"
] | 1,637,682,921,000 | 1,637,754,853,000 | 1,637,754,853,000 | MEMBER | null | This PR adds a `with_rank` argument to `map` that gives the user the possibility to pass the rank of each process to their function. This is mostly designed for multi-GPU map (each process can be sent to a different device thanks to the rank). I've also added tests. I'm putting the PR up so you can check the code, I'll add a multi-GPU example to the doc (+ write a bit in the doc for the new arg) | {
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https://api.github.com/repos/huggingface/datasets/issues/3313 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3313/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3313/comments | https://api.github.com/repos/huggingface/datasets/issues/3313/events | https://github.com/huggingface/datasets/issues/3313 | 1,060,933,392 | I_kwDODunzps4_PI8Q | 3,313 | TriviaQA License Mismatch | {
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"Hi ! You're completely right, this must be mentioned in the dataset card.\r\nIf you're interesting in contributing, feel free to open a pull request to mention this in the `trivia_qa` dataset card in the \"Licensing Information\" section at https://github.com/huggingface/datasets/blob/master/datasets/trivia_qa/REA... | 1,637,654,415,000 | 1,638,185,061,000 | 1,638,185,061,000 | NONE | null | ## Describe the bug
TriviaQA Webpage at http://nlp.cs.washington.edu/triviaqa/ says they do not own the copyright to the data. However, Huggingface datasets at https://huggingface.co/datasets/trivia_qa mentions that the dataset is released under Apache License
Is the License Information on HuggingFace correct? | {
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https://api.github.com/repos/huggingface/datasets/issues/3312 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3312/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3312/comments | https://api.github.com/repos/huggingface/datasets/issues/3312/events | https://github.com/huggingface/datasets/pull/3312 | 1,060,440,346 | PR_kwDODunzps4u3duV | 3,312 | add bl books genre dataset | {
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"To fix the CI, feel free to run the `make style` command to format the code.\r\n\r\nThen it also looks like the dummy_data.zip archives are all empty, which makes the tests fail. Can you try regenerating them ? They should have one file inside which is a dummy version of the file at https://bl.iro.bl.uk/downloads/... | 1,637,603,690,000 | 1,638,461,429,000 | 1,638,461,267,000 | CONTRIBUTOR | null | First of all thanks for the fantastic library/collection of datasets 🤗
This pull request adds a dataset of metadata from digitised (mostly 19th Century) books from the British Library The [data](https://bl.iro.bl.uk/concern/datasets/1e1ccb46-65b4-4481-b6f8-b8129d5da053) contains various metadata about the books. In addition, a subset of the data includes 'genre' information which can be used for supervised text classification tasks. I hope that this offers easier access to a dataset for doing text classification on GLAM (galleries, libraries, archives and museums) data.
I have tried to create three configurations that provide both an 'easy' version of the dataset if you want to use it for training a genre classification model and a more 'raw' version of the data for other potential use cases for the data. I am open to suggestions if this doesn't make sense.
Similarly, for some of the arrow datatypes, I have had to fall back to strings since there are missing values for some fields/rows but I may have missed a more elegant way of dealing with it. | {
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"Hi ! Are you having this issue only with this specific dataset, or it also happens with other ones like `squad` ?",
"@lhoestq It happens also on `squad`. It successfully downloads the whole dataset and then crashes on: \r\n\r\n```\r\nFatal error condition occurred in D:\\bld\\aws-c-io_1633633258269\\work\\source... | 1,637,584,074,000 | 1,638,799,560,000 | 1,638,224,557,000 | NONE | null | ## Describe the bug
Fatal error when using the library
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('wikiann', 'en')
```
## Expected results
No fatal errors
## Actual results
```
Fatal error condition occurred in D:\bld\aws-c-io_1633633258269\work\source\event_loop.c:74: aws_thread_launch(&cleanup_thread, s_event_loop_destroy_async_thread_fn, el_group, &thread_options) == AWS_OP_SUCCESS
Exiting Application
```
## Environment info
- `datasets` version: 1.15.2.dev0
- Platform: Windows-10-10.0.22504-SP0
- Python version: 3.8.12
- PyArrow version: 6.0.0
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