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"Hi ! Sure sounds good. Also if you find other datasets that use tuples instead of str/int, you can also fix them !\r\nthanks :)",
"@lhoestq I have sent a PR for fixing the issue. Would be great if you could have a look! Thanks!"
] | completed | [] | `xnli` dataset creating a tuple key while yielding instead of `str` or `int` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2229/timeline | When using `ds = datasets.load_dataset('xnli', 'ar')`, the dataset generation script uses the following section of code in the egging, which yields a tuple key instead of the specified `str` or `int` key:
https://github.com/huggingface/datasets/blob/56346791aed417306d054d89bd693d6b7eab17f7/datasets/xnli/xnli.py#L196
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open | 2021-04-16T13:04:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/2228 | null | {
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"Awesome thanks ! To fix the CI you just need to merge master into your branch.\r\nThe error is unrelated to your PR"
] | null | [] | [WIP] Add ArrayXD support for fixed size list. | NONE | https://api.github.com/repos/huggingface/datasets/issues/2228/timeline | Add support for fixed size list for ArrayXD when shape is known . See https://github.com/huggingface/datasets/issues/2146
Since offset are not stored anymore, the file size is now roughly equal to the actual data size. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-16T11:17:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/2226 | {
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"I found the problem. I called `set_format` on some columns before. This makes it crash. Here is a complete example to reproduce:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\nsst = load_dataset(\"sst\")\r\nsst.set_format(\"torch\", columns=[\"label\"], output_all_columns=True)\r\nds = sst[\"train\"]\r\n... | completed | [
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] | Batched map fails when removing all columns | NONE | https://api.github.com/repos/huggingface/datasets/issues/2226/timeline | Hi @lhoestq ,
I'm hijacking this issue, because I'm currently trying to do the approach you recommend:
> Currently the optimal setup for single-column computations is probably to do something like
>
> ```python
> result = dataset.map(f, input_columns="my_col", remove_columns=dataset.column_names)
> ```
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closed | 2021-04-15T04:26:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/2225 | null | {
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"Thanks ! good catch\r\n\r\nCould you also update the metadata of this dataset ?\r\nYou can do so by running\r\n```\r\ndatasets-cli test ./datasets/newsgroup --all_configs --save_infos --ignore_verifications\r\n```\r\nThis should update the dataset_infos.json file that contains the size of all the splits for exampl... | null | [] | fixed one instance of 'train' to 'test' | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2225/timeline | I believe this should be 'test' instead of 'train' | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-04-14T14:57:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/2224 | null | {
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Linked to discussion in #2220. | https://api.github.com/repos/huggingface/datasets | null | 857,983,361 | https://api.github.com/repos/huggingface/datasets/issues/2224/comments | MDU6SXNzdWU4NTc5ODMzNjE= | null | 2,224 | https://api.github.com/repos/huggingface/datasets/issues/2224/events | false |
closed | 2021-04-14T12:55:24Z | null | https://api.github.com/repos/huggingface/datasets/issues/2223 | null | {
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"> why a cache dir per test function does not work?\r\n\r\nProbably because we end up with multiple `datasets_module` in the python path. This breaks the import of all the datasets/metrics modules.\r\nIf you want to use one modules cache per test, you may need remove the `datasets_module` that was added to the pyt... | null | [] | Set test cache config | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2223/timeline | Currently, running the tests populates the default cache directory `"~/.cache"`.
This PR monkey-patches the config to set the cache directory within the temporary test directory, avoiding side effects. | https://api.github.com/repos/huggingface/datasets | {
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"Windows users should disable the max path length limit. It's a nightmare to handle it.\r\nAlso the lock path must not be changed in a random way. Otherwise from another process the lock path might not be the same and the locking mechanism won't work.",
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Nigerian English, Chilean Spanish, Columbian Spanish, Peruvian Spanish, Puerto Rico Spanish, Venezuelan Spanish, Basque, Galician, Gujarati and Kannada. | https://api.github.com/repos/huggingface/datasets | {
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"How is it possible to get an infinite loop ? Can you add more details ?",
"Yes, in Windows, if the filename is too long, a `FileNotFoundError` is raised. The exception should be raised in this case. Otherwise, we get into an infinite loop.\r\n\r\nIf other process has the file locked, then `PermissionError` is ra... | null | [
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"1) Changed the language in a few places apart from those you mentioned in README\r\n2) Reduced the size of dummy data folder by removing all other entries except the first\r\n3) Updated YAML tags by using to the past version of `datasets-tagging` app. Will update the quick fix on that repository too in a while",
... | null | [] | Added CUAD dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2219/timeline | Dataset link : https://github.com/TheAtticusProject/cuad/
Working on README.md currently.
Closes #2084 and [#1](https://github.com/TheAtticusProject/cuad/issues/1). | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-04-13T18:59:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/2218 | null | {
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"Hi,\r\n\r\ncurrently the datasets API doesn't have a dedicated function to remove duplicate rows, but since the LAMA dataset is not too big (it fits in RAM), we can leverage pandas to help us remove duplicates:\r\n```python\r\n>>> from datasets import load_dataset, Dataset\r\n>>> dataset = load_dataset('lama', spl... | null | [] | Duplicates in the LAMA dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2218/timeline | I observed duplicates in the LAMA probing dataset, see a minimal code below.
```
>>> import datasets
>>> dataset = datasets.load_dataset('lama')
No config specified, defaulting to: lama/trex
Reusing dataset lama (/home/anam/.cache/huggingface/datasets/lama/trex/1.1.0/97deffae13eca0a18e77dfb3960bb31741e973586f5c... | https://api.github.com/repos/huggingface/datasets | null | 857,238,435 | https://api.github.com/repos/huggingface/datasets/issues/2218/comments | MDU6SXNzdWU4NTcyMzg0MzU= | null | 2,218 | https://api.github.com/repos/huggingface/datasets/issues/2218/events | false |
closed | 2021-04-13T14:20:04Z | null | https://api.github.com/repos/huggingface/datasets/issues/2217 | null | {
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Before it was formatted like
```python
[{"filename": "path/to/file.arrow", "start": 0, "end": 1337}]
```
and it was changed to
```python
["path/to/file.arrow"]
```
since there's no start/end offsets available anymore.
To make this less breaking, I'm setting... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-13T08:24:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/2215 | null | {
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"Hi @lhoestq,\r\nCould you please help me, I got this error message in all \"ci/circleci: run_dataset_script_tests_pyarrow*\" tests:\r\n```\r\n...\r\n \"\"\"Wrapper classes for various types of tokenization.\"\"\"\r\n \r\n from bleurt.lib import bert_tokenization\r\n import tensorflow.compat.v1 as tf\r\... | null | [] | Add datasets SLR35 and SLR36 to OpenSLR | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2215/timeline | I would like to add [SLR35](https://openslr.org/35/) (18GB) and [SLR36](https://openslr.org/36/) (22GB) which are Large Javanese and Sundanese ASR training data set collected by Google in collaboration with Reykjavik University and Universitas Gadjah Mada in Indonesia. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-12T20:26:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/2214 | null | {
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"Hi @nsaphra, thanks for reporting.\r\n\r\nThis issue was fixed in `datasets` version 1.3.0. Could you please update `datasets` and tell me if the problem persists?\r\n```shell\r\npip install -U datasets\r\n```",
"There might be a bug in the conda version of `datasets` 1.2.1 where the datasets/metric scripts are ... | completed | [
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] | load_metric error: module 'datasets.utils.file_utils' has no attribute 'add_start_docstrings' | NONE | https://api.github.com/repos/huggingface/datasets/issues/2214/timeline | I'm having the same problem as [Notebooks issue 10](https://github.com/huggingface/notebooks/issues/10) on datasets 1.2.1, and it seems to be an issue with the datasets package.
```python
>>> from datasets import load_metric
>>> metric = load_metric("glue", "sst2")
Traceback (most recent call last):
File "<std... | https://api.github.com/repos/huggingface/datasets | null | 856,333,657 | https://api.github.com/repos/huggingface/datasets/issues/2214/comments | MDU6SXNzdWU4NTYzMzM2NTc= | null | 2,214 | https://api.github.com/repos/huggingface/datasets/issues/2214/events | false |
closed | 2021-04-12T14:16:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/2213 | null | {
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closed | 2021-04-12T13:49:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/2212 | null | {
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"Hi ! Apparently the data are not available from this url anymore. We'll replace it with the new url when it's available",
"I saw this on their website when we request to download the dataset:\r\n\r\n\r\... | completed | [] | Can't reach "https://storage.googleapis.com/illuin/fquad/train.json.zip" when trying to load fquad dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2212/timeline | I'm trying to load the [fquad dataset](https://huggingface.co/datasets/fquad) by running:
```Python
fquad = load_dataset("fquad")
```
which produces the following error:
```
Using custom data configuration default
Downloading and preparing dataset fquad/default (download: 3.14 MiB, generated: 6.62 MiB, ... | https://api.github.com/repos/huggingface/datasets | null | 855,999,133 | https://api.github.com/repos/huggingface/datasets/issues/2212/comments | MDU6SXNzdWU4NTU5OTkxMzM= | null | 2,212 | https://api.github.com/repos/huggingface/datasets/issues/2212/events | false |
closed | 2021-04-12T13:38:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/2211 | null | {
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"Hi,\r\n\r\nI've already opened a PR with the fix. If you are in a hurry, just build the project from source and run:\r\n```bash\r\ndatasets-cli test datasets/lc_quad --save_infos --all_configs --ignore_verifications\r\n```\r\n\r\n",
"Ah sorry, I tried searching but couldn't find any related PR. \r\n\r\nThank you... | completed | [] | Getting checksum error when trying to load lc_quad dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2211/timeline | I'm having issues loading the [lc_quad](https://huggingface.co/datasets/fquad) dataset by running:
```Python
lc_quad = load_dataset("lc_quad")
```
which is giving me the following error:
```
Using custom data configuration default
Downloading and preparing dataset lc_quad/default (download: 3.69 MiB, ge... | https://api.github.com/repos/huggingface/datasets | null | 855,988,410 | https://api.github.com/repos/huggingface/datasets/issues/2211/comments | MDU6SXNzdWU4NTU5ODg0MTA= | null | 2,211 | https://api.github.com/repos/huggingface/datasets/issues/2211/events | false |
closed | 2021-04-12T08:33:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/2210 | null | {
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"Hi ! Yes this is an issue with `datasets<=1.5.0`\r\nThis issue has been fixed by #2122 , we'll do a new release soon :)\r\nFor now you can test it on the `master` branch.",
"Hi, thank you for your answer. I did not realize that my issue stems from the same problem. "
] | completed | [] | dataloading slow when using HUGE dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2210/timeline | Hi,
When I use datasets with 600GB data, the dataloading speed increases significantly.
I am experimenting with two datasets, and one is about 60GB and the other 600GB.
Simply speaking, my code uses `datasets.set_format("torch")` function and let pytorch-lightning handle ddp training.
When looking at the pytorch... | https://api.github.com/repos/huggingface/datasets | null | 855,709,400 | https://api.github.com/repos/huggingface/datasets/issues/2210/comments | MDU6SXNzdWU4NTU3MDk0MDA= | null | 2,210 | https://api.github.com/repos/huggingface/datasets/issues/2210/events | false |
closed | 2021-04-12T07:16:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/2209 | null | {
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This was already done in `transformers`. | https://api.github.com/repos/huggingface/datasets | {
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"merging since the CI is fixed on master"
] | null | [] | Remove Python2 leftovers | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2208/timeline | This PR removes Python2 leftovers since this project aims for Python3.6+ (and as of 2020 Python2 is no longer officially supported) | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-11T10:03:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/2207 | null | {
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"Hi ! The ClassLabel feature type encodes the labels as integers.\r\nThe integer corresponds to the index of the label name in the `names` list of the ClassLabel.\r\nHere that means that the labels are 'entailment' (0), 'neutral' (1), 'contradiction' (2).\r\n\r\nYou can get the label names back by using `a.features... | completed | [] | making labels consistent across the datasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/2207/timeline | Hi
For accessing the labels one can type
```
>>> a.features['label']
ClassLabel(num_classes=3, names=['entailment', 'neutral', 'contradiction'], names_file=None, id=None)
```
The labels however are not consistent with the actual labels sometimes, for instance in case of XNLI, the actual labels are 0,1,2, but if ... | https://api.github.com/repos/huggingface/datasets | null | 855,267,383 | https://api.github.com/repos/huggingface/datasets/issues/2207/comments | MDU6SXNzdWU4NTUyNjczODM= | null | 2,207 | https://api.github.com/repos/huggingface/datasets/issues/2207/events | false |
closed | 2021-04-11T08:40:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/2206 | null | {
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"Hi,\r\n\r\nthe output of the tokenizers is treated specially in the lib to optimize the dataset size (see the code [here](https://github.com/huggingface/datasets/blob/master/src/datasets/arrow_writer.py#L138-L141)). It looks like that one of the values in a dictionary returned by the tokenizer is out of the assume... | completed | [
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] | Got pyarrow error when loading a dataset while adding special tokens into the tokenizer | NONE | https://api.github.com/repos/huggingface/datasets/issues/2206/timeline | I added five more special tokens into the GPT2 tokenizer. But after that, when I try to pre-process the data using my previous code, I got an error shown below:
Traceback (most recent call last):
File "/home/xuyan/anaconda3/envs/convqa/lib/python3.7/site-packages/datasets/arrow_dataset.py", line 1687, in _map_sin... | https://api.github.com/repos/huggingface/datasets | null | 855,252,415 | https://api.github.com/repos/huggingface/datasets/issues/2206/comments | MDU6SXNzdWU4NTUyNTI0MTU= | null | 2,206 | https://api.github.com/repos/huggingface/datasets/issues/2206/events | false |
closed | 2021-04-11T03:18:05Z | null | https://api.github.com/repos/huggingface/datasets/issues/2205 | null | {
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I just updated the citation information in this PR. It had an additional bibtex from one of the datasets used in LinCE and then the LinCE bibtex. I removed the former and added a link that shows the full list of citations for each dataset.
Thanks! | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-10T19:58:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/2204 | null | {
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Adds options to use strict mode, different schemes of evaluation, sample weight and adjust zero_division behavior, if encountered.
`seqeval` provides schemes as objects, hence dynamic import from string, to avoid making the user do the import (thanks to @albertvillanova for the `importlib` idea). | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-10T12:10:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/2203 | null | {
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"Hi ! Can you add a description regarding this PR ? Why do you think we need to update the dummy data used to test the `banking77` dataset loading script ?",
"Closing for inactivity. Feel free to re-open if you want to push this change"
] | null | [] | updated banking77 train and test data | NONE | https://api.github.com/repos/huggingface/datasets/issues/2203/timeline | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-09T12:58:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/2202 | null | {
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Update the docstring of `load_dataset` to create cross-reference links to the classes.
Related to #2187. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-09T12:56:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/2201 | null | {
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The CSV builder is an ArrowBasedBuilder that had an issue with its ArrowWriter used to write the arrow file from the csv data.
The writer wasn't initialized with the features passed by the user. Therefore the writer was inferring the featur... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-09T11:47:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/2200 | {
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"Hi ! This might be related to #2153 \r\n\r\nYou're right the ArrowWriter should be initialized with `features=self.info.features` ! Good catch\r\nI'm opening a PR to fix this and also to figure out how it was not caught in the tests\r\n\r\nEDIT: opened #2201",
"> Hi ! This might be related to #2153\r\n> \r\n> Yo... | completed | [] | _prepare_split will overwrite DatasetBuilder.info.features | NONE | https://api.github.com/repos/huggingface/datasets/issues/2200/timeline | Hi, here is my issue:
I initialized a Csv datasetbuilder with specific features:
```
def get_dataset_features(data_args):
features = {}
if data_args.text_features:
features.update({text_feature: hf_features.Value("string") for text_feature in data_args.text_features.strip().split(",")})
if da... | https://api.github.com/repos/huggingface/datasets | null | 854,449,656 | https://api.github.com/repos/huggingface/datasets/issues/2200/comments | MDU6SXNzdWU4NTQ0NDk2NTY= | null | 2,200 | https://api.github.com/repos/huggingface/datasets/issues/2200/events | false |
closed | 2021-04-09T11:01:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/2199 | null | {
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"Hi @lhoestq, could you please check if this makes sense? Thanks.",
"What about using `_indices_data_files` field in save_to_disk instead of `_indices_files` ?\r\nThis way future datasets can also be reloaded from older versions of the lib\r\n\r\n`_indices_files` was introduced in a recent PR and was not released... | null | [] | Fix backward compatibility in Dataset.load_from_disk | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2199/timeline | Fix backward compatibility when loading from disk an old dataset saved to disk with indices using key "_indices_data_files".
Related to #2195. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-09T09:39:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/2198 | null | {
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"From offline discussions: we want to make the permissions handling consistent with `transformers`. However from discussion in https://github.com/huggingface/transformers/pull/11119 it looks like it might not be a good solution to provide this argument. Users should use umask for now, and we'll see how things evol... | null | [] | added file_permission in load_dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2198/timeline | As discussed in #2065 I've added `file_permission` argument in `load_dataset`.
Added mainly 2 things here:
1) Permission of downloaded datasets when converted to .arrow files can be changed with argument `file_permission` argument in `load_dataset` (default is 0o644 only)
2) Incase the user uses `map` later on t... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-09T09:37:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/2197 | null | {
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`load_from_disk` was failing if there was no "_indices_files" field in state.json. This can happen if the dataset has no indices mapping | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-09T03:49:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/2196 | null | {
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"Hi ! Files that starts with `cache-*` are cached computation files, i.e. they are the cached results of map/filter/cast/etc. operations. For example if you used `map` on your dataset to transform it, then the resulting dataset is going to be stored and cached in a `cache-*` file. These files are used to avoid havi... | completed | [
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] | `load_dataset` caches two arrow files? | NONE | https://api.github.com/repos/huggingface/datasets/issues/2196/timeline | Hi,
I am using datasets to load large json file of 587G.
I checked the cached folder and found that there are two arrow files created:
* `cache-ed205e500a7dc44c.arrow` - 355G
* `json-train.arrow` - 582G
Why is the first file created?
If I delete it, would I still be able to `load_from_disk`? | https://api.github.com/repos/huggingface/datasets | null | 854,126,114 | https://api.github.com/repos/huggingface/datasets/issues/2196/comments | MDU6SXNzdWU4NTQxMjYxMTQ= | null | 2,196 | https://api.github.com/repos/huggingface/datasets/issues/2196/events | false |
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"Thanks for reporting @samsontmr.\r\n\r\nIt seems a backward compatibility issue...",
"Thanks @samsontmr this should be fixed on master now\r\n\r\nFeel free to reopen if you're still having issues"
] | completed | [
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] | KeyError: '_indices_files' in `arrow_dataset.py` | NONE | https://api.github.com/repos/huggingface/datasets/issues/2195/timeline | After pulling the latest master, I'm getting a crash when `load_from_disk` tries to load my local dataset.
Trace:
```
Traceback (most recent call last):
File "load_data.py", line 11, in <module>
dataset = load_from_disk(SRC)
File "/opt/conda/envs/py38/lib/python3.8/site-packages/datasets/load.py", line ... | https://api.github.com/repos/huggingface/datasets | null | 854,070,194 | https://api.github.com/repos/huggingface/datasets/issues/2195/comments | MDU6SXNzdWU4NTQwNzAxOTQ= | null | 2,195 | https://api.github.com/repos/huggingface/datasets/issues/2195/events | false |
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"\r\nThis wasn't a `datasets` problem, but `transformers`' and it was solved here https://github.com/huggingface/transformers/pull/11168\r\n"
] | completed | [] | py3.7: TypeError: can't pickle _LazyModule objects | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2194/timeline | While this works fine with py3.8, under py3.7, with a totally new conda env and transformers install:
```
git clone https://github.com/huggingface/transformers
cd transformers
pip install -e .[testing]
export BS=1; rm -rf /tmp/test-clm; PYTHONPATH=src USE_TF=0 CUDA_VISIBLE_DEVICES=0 python \
examples/language... | https://api.github.com/repos/huggingface/datasets | null | 853,909,452 | https://api.github.com/repos/huggingface/datasets/issues/2194/comments | MDU6SXNzdWU4NTM5MDk0NTI= | null | 2,194 | https://api.github.com/repos/huggingface/datasets/issues/2194/events | false |
closed | 2021-04-08T18:16:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/2193 | null | {
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"Hi ! Yes we are working on making `filter` significantly faster. You can look at related PRs here: #2060 #2178 \r\n\r\nI think you can expect to have the fast version of `filter` available next week.\r\n\r\nWe'll make it only select one column, and we'll also make the overall filtering operation way faster by avoi... | completed | [
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] | Filtering/mapping on one column is very slow | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2193/timeline | I'm currently using the `wikipedia` dataset— I'm tokenizing the articles with the `tokenizers` library using `map()` and also adding a new `num_tokens` column to the dataset as part of that map operation.
I want to be able to _filter_ the dataset based on this `num_tokens` column, but even when I specify `input_colu... | https://api.github.com/repos/huggingface/datasets | null | 853,725,707 | https://api.github.com/repos/huggingface/datasets/issues/2193/comments | MDU6SXNzdWU4NTM3MjU3MDc= | null | 2,193 | https://api.github.com/repos/huggingface/datasets/issues/2193/events | false |
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The `packaging` dependency is also required for the build to complete. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-08T11:21:04Z | null | https://api.github.com/repos/huggingface/datasets/issues/2191 | null | {
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"I find very interesting that idea of using a fixture instead!\r\n\r\nLet me rework a little bit this PR, @lhoestq.",
"@lhoestq, as this is a big refactoring, I had many problems to solve the conflicts with the master branch...\r\n\r\nTherefore, I think it is better to merge this as it is, and then to make other ... | null | [
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] | Refactorize tests to use Dataset as context manager | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2191/timeline | Refactorize Dataset tests to use Dataset as context manager. | https://api.github.com/repos/huggingface/datasets | {
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"Hi @anassalamah,\r\n\r\nCould you please try with this:\r\n```python\r\ntrain_ds = load_dataset(\"news_commentary\", lang1=\"ar\", lang2=\"en\", split='train[:98%]')\r\nval_ds = load_dataset(\"news_commentary\", lang1=\"ar\", lang2=\"en\", split='train[98%:]')\r\n```",
"Hello @albertvillanova, \r\n\r\nThanks for... | completed | [] | News_commentary Dataset Translation Pairs are of Incorrect Language Specified Pairs | NONE | https://api.github.com/repos/huggingface/datasets/issues/2190/timeline | I used load_dataset to load the news_commentary dataset for "ar-en" translation pairs but found translations from Arabic to Hindi.
```
train_ds = load_dataset("news_commentary", "ar-en", split='train[:98%]')
val_ds = load_dataset("news_commentary", "ar-en", split='train[98%:]')
# filtering out examples that a... | https://api.github.com/repos/huggingface/datasets | null | 853,181,564 | https://api.github.com/repos/huggingface/datasets/issues/2190/comments | MDU6SXNzdWU4NTMxODE1NjQ= | null | 2,190 | https://api.github.com/repos/huggingface/datasets/issues/2190/events | false |
closed | 2021-04-08T04:42:53Z | null | https://api.github.com/repos/huggingface/datasets/issues/2189 | null | {
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"Hi ! We refactored save_to_disk in #2025 so this doesn't happen.\r\nFeel free to try it on master for now\r\nWe'll do a new release soon"
] | completed | [] | save_to_disk doesn't work when we use concatenate_datasets function before creating the final dataset_object. | NONE | https://api.github.com/repos/huggingface/datasets/issues/2189/timeline | As you can see, it saves the entire dataset.
@lhoestq
You can check by going through the following example,
```
from datasets import load_from_disk,concatenate_datasets
loaded_data=load_from_disk('/home/gsir059/HNSW-ori/my_knowledge_dataset')
n=20
kb_list=[loaded_data.shard(n, i, contiguous=True) for i... | https://api.github.com/repos/huggingface/datasets | null | 853,052,891 | https://api.github.com/repos/huggingface/datasets/issues/2189/comments | MDU6SXNzdWU4NTMwNTI4OTE= | null | 2,189 | https://api.github.com/repos/huggingface/datasets/issues/2189/events | false |
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"Hi ! Thanks for reporting\r\nIf I recall correctly this has been recently fixed #1995\r\nCan you try to upgrade your local version of `datasets` ?\r\n```\r\npip install --upgrade datasets\r\n```",
"Hi Ihoestq,\r\n\r\nThank you. It works after upgrading the datasets\r\n"
] | completed | [] | Duplicate data in Timit dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2188/timeline | I ran a simple code to list all texts in Timit dataset and the texts were all the same.
Is this dataset corrupted?
**Code:**
timit = load_dataset("timit_asr")
print(*timit['train']['text'], sep='\n')
**Result:**
Would such an act of refusal be useful?
Would such an act of refusal be useful?
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"An educated guess: does this refer to the fact that depending on the custom column names in the dataset files (csv in this case), there is a dataset loader being created? and this dataset loader - using the \"custom data configuration\" is used among all jobs running using this particular csv files? (thinking out ... | null | [
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] | Question (potential issue?) related to datasets caching | NONE | https://api.github.com/repos/huggingface/datasets/issues/2187/timeline | I thought I had disabled datasets caching in my code, as follows:
```
from datasets import set_caching_enabled
...
def main():
# disable caching in datasets
set_caching_enabled(False)
```
However, in my log files I see messages like the following:
```
04/07/2021 18:34:42 - WARNING - datasets.build... | https://api.github.com/repos/huggingface/datasets | null | 852,939,736 | https://api.github.com/repos/huggingface/datasets/issues/2187/comments | MDU6SXNzdWU4NTI5Mzk3MzY= | null | 2,187 | https://api.github.com/repos/huggingface/datasets/issues/2187/events | false |
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"cc @sebastiangehrmann"
] | null | [] | GEM: new challenge sets | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2186/timeline | This PR updates the GEM dataset to:
- remove extraneous fields in WikiAuto after https://github.com/huggingface/datasets/pull/2171 fixed the source
- add context and services to Schema Guided Dialog
- Add new or update challenge sets for MLSUM ES and DE, XSUM, and SGD | https://api.github.com/repos/huggingface/datasets | {
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"Hi, one workaround would be to save the mapped(tokenized in your case) file using `save_to_disk`, and having each process load this file using `load_from_disk`. This is what I am doing, and in this case, I turn off the ability to automatically load from the cache.\r\n\r\nAlso, multiprocessing the map function seem... | completed | [] | .map() and distributed training | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2185/timeline | Hi,
I have a question regarding distributed training and the `.map` call on a dataset.
I have a local dataset "my_custom_dataset" that I am loading with `datasets = load_from_disk(dataset_path=my_path)`.
`dataset` is then tokenized:
```python
datasets = load_from_disk(dataset_path=my_path)
[...]
def tokeni... | https://api.github.com/repos/huggingface/datasets | null | 852,684,395 | https://api.github.com/repos/huggingface/datasets/issues/2185/comments | MDU6SXNzdWU4NTI2ODQzOTU= | null | 2,185 | https://api.github.com/repos/huggingface/datasets/issues/2185/events | false |
closed | 2021-04-07T16:47:43Z | null | https://api.github.com/repos/huggingface/datasets/issues/2184 | null | {
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"Made the required changes @lhoestq , sorry it took so much time!"
] | null | [] | Implementation of class_encode_column | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2184/timeline | Addresses #2176
I'm happy to discuss the API and internals! | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-07T15:17:11Z | null | https://api.github.com/repos/huggingface/datasets/issues/2183 | null | {
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1. latest versions of `fsspec` require python>3.7 for async features
2. `s3fs` added a dependency on `aiobotocore`, which is not compatible with the `moto` s3 mock context manager
This PR fixes both issues, by pinning `fsspec` and `s3fs` for python 3.6, and by using `moto` in ser... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-07T13:00:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/2182 | null | {
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"I ping @krandiash to keep him up to date.",
"TODO:\r\n- [x] Add a section in the docs about this.\r\n- ~Add a warning if someone tries to specify `cache_file_name=` in `map`, `filter` etc. on a dataset that is in memory, since the computation is not going to be cached in this case.~",
"@lhoestq I have a questi... | null | [
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] | Set default in-memory value depending on the dataset size | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2182/timeline | Set a default value for `in_memory` depending on the size of the dataset to be loaded.
Close #2179.
TODO:
- [x] Add a section in the docs about this.
- ~Add a warning if someone tries to specify `cache_file_name=` in `map`, `filter` etc. on a dataset that is in memory, since the computation is not going to be c... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-07T10:26:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/2181 | null | {
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"Hi ! Can you try to increase the block size ? For example\r\n```python\r\nblock_size_10MB = 10<<20\r\nload_dataset(\"json\", ..., block_size=block_size_10MB)\r\n```\r\nThe block size corresponds to how much bytes to process at a time from the input stream.\r\nThis will determine multi-threading granularity as well... | completed | [] | Error when loading a HUGE json file (pyarrow.lib.ArrowInvalid: straddling object straddles two block boundaries) | NONE | https://api.github.com/repos/huggingface/datasets/issues/2181/timeline | Hi, thanks for the great library. I have used the brilliant library for a couple of small projects, and now using it for a fairly big project.
When loading a huge json file of 500GB, pyarrow complains as follows:
```
Traceback (most recent call last):
File "/home/user/.pyenv/versions/3.7.9/lib/python3.7/site-pack... | https://api.github.com/repos/huggingface/datasets | null | 852,261,607 | https://api.github.com/repos/huggingface/datasets/issues/2181/comments | MDU6SXNzdWU4NTIyNjE2MDc= | null | 2,181 | https://api.github.com/repos/huggingface/datasets/issues/2181/events | false |
closed | 2021-04-07T10:23:15Z | null | https://api.github.com/repos/huggingface/datasets/issues/2180 | null | {
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"default": fals... | Load small datasets in-memory instead of using memory map | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2179/timeline | Currently all datasets are loaded using memory mapping by default in `load_dataset`.
However this might not be necessary for small datasets. If a dataset is small enough, then it can be loaded in-memory and:
- its memory footprint would be small so it's ok
- in-memory computations/queries would be faster
- the cach... | https://api.github.com/repos/huggingface/datasets | null | 852,237,957 | https://api.github.com/repos/huggingface/datasets/issues/2179/comments | MDU6SXNzdWU4NTIyMzc5NTc= | null | 2,179 | https://api.github.com/repos/huggingface/datasets/issues/2179/events | false |
closed | 2021-04-07T09:30:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/2178 | null | {
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"I addressed your comments about the docstrings and the output validation :)",
"I updated the bleurt mocking method and bleurt test is passing now.\r\nI also ran the slow tests and they are passing for bleurt.",
"Thanks @lhoestq and @albertvillanova !"
] | null | [
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] | Fix cast memory usage by using map on subtables | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2178/timeline | The `cast` operation on a pyarrow Table may create new arrays in memory.
This is an issue since users expect memory mapped datasets to not fill up the RAM.
To fix that I used `map` to write a new arrow file on disk when cast is used.
To make things more convenient I introduced the `arrow` formatting of a dataset, ... | https://api.github.com/repos/huggingface/datasets | {
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I added OpenGraph/ Twitter Card support to the docs to create nice social thumbnails.
To be able to add these I needed to install `sphinxext-op... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-06T22:54:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/2176 | null | {
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"Hi @nelson-liu!\r\nHere is what I do to convert a string to class label:\r\n\r\n```python\r\nfrom datasets import load_dataset, features\r\n\r\n\r\ndset = load_dataset(...)\r\ncol_name = \"the string column name\"\r\n\r\nclass_names = dset.unique(col_name)\r\nclass_feature = features.ClassLabel(names=sorted(class... | completed | [
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] | Converting a Value to a ClassLabel | NONE | https://api.github.com/repos/huggingface/datasets/issues/2176/timeline | Hi!
In the docs for `cast`, it's noted that `For non-trivial conversion, e.g. string <-> ClassLabel you should use map() to update the Dataset.`
Would it be possible to have an example that demonstrates such a string <-> ClassLabel conversion using `map`? Thanks! | https://api.github.com/repos/huggingface/datasets | null | 851,865,795 | https://api.github.com/repos/huggingface/datasets/issues/2176/comments | MDU6SXNzdWU4NTE4NjU3OTU= | null | 2,176 | https://api.github.com/repos/huggingface/datasets/issues/2176/events | false |
closed | 2021-04-06T21:50:49Z | null | https://api.github.com/repos/huggingface/datasets/issues/2175 | null | {
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"Actually, I found the answer [here](https://github.com/facebookresearch/faiss/wiki/FAQ#what-does-it-mean-when-a-search-returns--1-ids). \r\n\r\nSo we have to do some modifications to the code for instances where the index doesn't retrieve any IDs.",
"@lhoestq @patrickvonplaten \r\n\r\nI also found another short... | completed | [] | dataset.search_batch() function outputs all -1 indices sometime. | NONE | https://api.github.com/repos/huggingface/datasets/issues/2175/timeline | I am working with RAG and playing around with different faiss indexes. At the moment I use **index = faiss.index_factory(768, "IVF65536_HNSW32,Flat")**.
During the retrieval phase exactly in [this line of retrieval_rag.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/rag/retrieval_... | https://api.github.com/repos/huggingface/datasets | null | 851,836,096 | https://api.github.com/repos/huggingface/datasets/issues/2175/comments | MDU6SXNzdWU4NTE4MzYwOTY= | null | 2,175 | https://api.github.com/repos/huggingface/datasets/issues/2175/events | false |
closed | 2021-04-06T12:40:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/2174 | null | {
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We had the same problem in Transformers and solved it by pinning docutils (a dep of sphinx... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-06T12:08:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/2173 | null | {
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"gi... | https://github.com/huggingface/datasets/pull/2173 | [] | false | 2021-04-12T16:54:46Z | 2021-04-12T16:54:46Z | null | [] | null | [] | Add OpenSLR dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2173/timeline | OpenSLR (https://openslr.org/) is a site devoted to hosting speech and language resources, such as training corpora for speech recognition, and software related to speech recognition. There are around 80 speech datasets listed in OpenSLR, currently this PR includes only 9 speech datasets SLR41, SLR42, SLR43, SLR44, SLR... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-06T09:19:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/2172 | null | {
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I'm pinning `fsspec` until this has been resolved | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-06T07:13:11Z | null | https://api.github.com/repos/huggingface/datasets/issues/2171 | null | {
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"Also you can ignore the CI failing on `docs`, this has been fixed on master :)",
"@lhoestq I need to update other stuff on GEM later today too, so will merge this one and remove columns in the next PR!",
"Ok !"
] | null | [] | Fixed the link to wikiauto training data. | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2171/timeline | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-04-06T03:13:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/2170 | null | {
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"It seems that this can be fixed from user's end by including a `date` argument, like this:\r\n\r\n`dataset = datasets.load_dataset('wikipedia', '20200501.en', date='20210420')`\r\n\r\nYou can get available dates from [here](https://dumps.wikimedia.org/enwiki/).\r\n\r\nThis is not a proper fix however as all the fi... | null | [] | Wikipedia historic dumps are deleted but hf/datasets hardcodes dump date | NONE | https://api.github.com/repos/huggingface/datasets/issues/2170/timeline | Wikimedia does not keep all historical dumps. For example, as of today https://dumps.wikimedia.org/kowiki/ only provides
```
20201220/ 02-Feb-2021 01:36 -
20210101/ 21-Feb-2021 01:26 -
20210120/ ... | https://api.github.com/repos/huggingface/datasets | null | 850,913,228 | https://api.github.com/repos/huggingface/datasets/issues/2170/comments | MDU6SXNzdWU4NTA5MTMyMjg= | null | 2,170 | https://api.github.com/repos/huggingface/datasets/issues/2170/events | false |
closed | 2021-04-05T15:43:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/2169 | null | {
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"Hi ! Thanks for suggesting this fix \r\nUnfortunately it looks like it's already been fixed by #2111 \r\n\r\nFeel free to share your thoughts about this PR !\r\n\r\nI'm closing this one if you don't mind."
] | null | [] | Updated WER metric implementation to avoid memory issues | NONE | https://api.github.com/repos/huggingface/datasets/issues/2169/timeline | This is in order to fix this issue:
https://github.com/huggingface/datasets/issues/2078
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closed | 2021-04-04T20:46:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/2168 | null | {
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"Thanks for diving into this !\r\n\r\nBefore going further, I just want to make sure if using `eval` is the right solution\r\nPersonally I'm not a big fan of `eval` since it has many security concerns. Also storing string representations of python objects in the json files is not ideal either IMO, so maybe it's pos... | null | [] | Preserve split type when realoding dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2168/timeline | Fixes #2167
Using `eval` is not ideal for security reasons (in web apps I assume), but without it the code would be much more complex IMO.
In terms of style, instead of explicitly importing a private member (`_RelativeInstruction`), we can add these imports at the top of the module:
```python
from . import arr... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-04T19:29:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/2167 | null | {
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```python
>>> from datasets import load_dataset, Dataset
>>> dset = load_dataset("sst", split="train")
>>> dset.save_to_disk("sst")
>>> type(dset.split)
<class 'datasets.splits.NamedSplit'>
>>> dset = Dataset.load_from_disk("sst")
>>> type(dset.split) # NamedSplit expected
<cla... | https://api.github.com/repos/huggingface/datasets | null | 849,944,891 | https://api.github.com/repos/huggingface/datasets/issues/2167/comments | MDU6SXNzdWU4NDk5NDQ4OTE= | null | 2,167 | https://api.github.com/repos/huggingface/datasets/issues/2167/events | false |
closed | 2021-04-04T02:02:45Z | null | https://api.github.com/repos/huggingface/datasets/issues/2166 | null | {
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"Hi @vyraun ! The test references for CommonGen are not publicly available: you can reach out to the original dataset authors if you would like to ask for them, but we will not be releasing them as part of GEM (March 31st was the release date for the test set inputs, references are incidentally released for some of... | completed | [
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] | Regarding Test Sets for the GEM datasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/2166/timeline | @yjernite Hi, are the test sets for the GEM datasets scheduled to be [added soon](https://gem-benchmark.com/shared_task)?
e.g.
```
from datasets import load_dataset
DATASET_NAME="common_gen"
data = load_dataset("gem", DATASET_NAME)
```
The test set doesn't have the target or references.
```
data['test... | https://api.github.com/repos/huggingface/datasets | null | 849,778,545 | https://api.github.com/repos/huggingface/datasets/issues/2166/comments | MDU6SXNzdWU4NDk3Nzg1NDU= | null | 2,166 | https://api.github.com/repos/huggingface/datasets/issues/2166/events | false |
closed | 2021-04-04T01:01:48Z | null | https://api.github.com/repos/huggingface/datasets/issues/2165 | null | {
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"Hi,\r\n\r\na HF dataset can be converted to a Torch Dataset with a simple wrapper as follows:\r\n```python\r\nfrom torch.utils.data import Dataset\r\n \r\nclass HFDataset(Dataset):\r\n def __init__(self, dset):\r\n self.dset = dset\r\n\r\n def __getitem__(self, idx):\r\n return self.dset[idx]\r... | completed | [] | How to convert datasets.arrow_dataset.Dataset to torch.utils.data.Dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2165/timeline | Hi,
I'm trying to pretraine deep-speed model using HF arxiv dataset like:
```
train_ds = nlp.load_dataset('scientific_papers', 'arxiv')
train_ds.set_format(
type="torch",
columns=["input_ids", "attention_mask", "global_attention_mask", "labels"],
)
engine, _, _, _ = deepspeed.initialize(
... | https://api.github.com/repos/huggingface/datasets | null | 849,771,665 | https://api.github.com/repos/huggingface/datasets/issues/2165/comments | MDU6SXNzdWU4NDk3NzE2NjU= | null | 2,165 | https://api.github.com/repos/huggingface/datasets/issues/2165/events | false |
closed | 2021-04-03T21:07:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/2164 | null | {
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closed | 2021-04-03T14:31:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/2163 | null | {
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"Hi @mariosasko,\r\nJust came across this PR and I was wondering if we can use\r\n`description = \"\\n\\n\".join(OrderedDict.fromkeys([info.description for info in dataset_infos]))`\r\n\r\nThis will obviate the need for `unique` and is almost as fast as `set`. We could have used `dict` inplace of `OrderedDict` but ... | null | [] | Concat only unique fields in DatasetInfo.from_merge | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2163/timeline | I thought someone from the community with less experience would be interested in fixing this issue, but that wasn't the case.
Fixes #2103 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-04-02T10:11:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/2162 | null | {
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"This looks like an issue with the cc100 dataset itself but not sure\r\nDid you try loading cc100 on your machine ?",
"Hi\nloading works fine, but the viewer only is broken\nthanks\n\nOn Wed, Apr 7, 2021 at 12:17 PM Quentin Lhoest ***@***.***>\nwrote:\n\n> This looks like an issue with the cc100 dataset itself bu... | completed | [
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] | visualization for cc100 is broken | NONE | https://api.github.com/repos/huggingface/datasets/issues/2162/timeline | Hi
visualization through dataset viewer for cc100 is broken
https://huggingface.co/datasets/viewer/
thanks a lot
| https://api.github.com/repos/huggingface/datasets | null | 849,129,201 | https://api.github.com/repos/huggingface/datasets/issues/2162/comments | MDU6SXNzdWU4NDkxMjkyMDE= | null | 2,162 | https://api.github.com/repos/huggingface/datasets/issues/2162/events | false |
closed | 2021-04-02T10:06:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/2161 | null | {
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"Not yet but it’s on the short/mid-term roadmap (requested by many indeed).",
"oh, great, really awesome feature to have, thank you very much for the great, fabulous work",
"We'll work on dataset streaming soon. This should allow you to only load the examples you need ;)",
"thanks a lot Quentin, this would be... | completed | [] | any possibility to download part of large datasets only? | NONE | https://api.github.com/repos/huggingface/datasets/issues/2161/timeline | Hi
Some of the datasets I need like cc100 are very large, and then I wonder if I can download first X samples of the shuffled/unshuffled data without going through first downloading the whole data then sampling? thanks | https://api.github.com/repos/huggingface/datasets | null | 849,127,041 | https://api.github.com/repos/huggingface/datasets/issues/2161/comments | MDU6SXNzdWU4NDkxMjcwNDE= | null | 2,161 | https://api.github.com/repos/huggingface/datasets/issues/2161/events | false |
closed | 2021-04-02T07:56:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/2160 | null | {
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"Hi.\r\nI cannot always reproduce this issue, and on later runs I did not see it so far. Sometimes also I set 8 processes but I see less being showed, is this normal, here only 5 are shown for 8 being set, thanks\r\n\r\n```\r\n#3: 11%|███████████████▊ ... | completed | [] | data_args.preprocessing_num_workers almost freezes | NONE | https://api.github.com/repos/huggingface/datasets/issues/2160/timeline | Hi @lhoestq
I am running this code from huggingface transformers https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm.py
to speed up tokenization, since I am running on multiple datasets, I am using data_args.preprocessing_num_workers = 4 with opus100 corpus but this moves ... | https://api.github.com/repos/huggingface/datasets | null | 849,052,921 | https://api.github.com/repos/huggingface/datasets/issues/2160/comments | MDU6SXNzdWU4NDkwNTI5MjE= | null | 2,160 | https://api.github.com/repos/huggingface/datasets/issues/2160/events | false |
closed | 2021-04-01T23:28:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/2159 | null | {
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"closing since I think this is cc100, just the name has been changed. thanks "
] | completed | [
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- **Name:** ccnet
- **Description:**
Common Crawl
- **Paper:**
https://arxiv.org/abs/1911.00359
- **Data:**
https://github.com/facebookresearch/cc_net
- **Motivation:**
this is one of the most comprehensive clean monolingual datasets across a variety of languages. Quite importan... | https://api.github.com/repos/huggingface/datasets | null | 848,851,962 | https://api.github.com/repos/huggingface/datasets/issues/2159/comments | MDU6SXNzdWU4NDg4NTE5NjI= | null | 2,159 | https://api.github.com/repos/huggingface/datasets/issues/2159/events | false |
closed | 2021-04-01T14:13:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/2158 | null | {
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"Thanks for reporting !\r\nThe viewer doesn't have all the dependencies of the datasets. We may add openpyxl to be able to show this dataset properly",
"This viewer tool is deprecated now and the new viewer at https://huggingface.co/datasets/fake_news_english works fine, so I'm closing this issue"
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closed | 2021-03-31T19:38:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/2157 | null | {
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"Just note that docstrings injected from PyArrow do not follow the same convention for formatting types in `Args` or `Returns` as we do... Not a big problem, anyway! 😄 "
] | null | [] | Add table classes to the documentation | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2155/timeline | Following #2025 , I added the table classes to the documentation
cc @albertvillanova | https://api.github.com/repos/huggingface/datasets | {
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"Awesome!"
] | null | [] | Adding the NorNE dataset for Norwegian POS and NER | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2154/timeline | NorNE is a manually annotated corpus of named entities which extends the annotation of the existing Norwegian Dependency Treebank. Comprising both of the official standards of written Norwegian (Bokmål and Nynorsk), the corpus contains around 600,000 tokens and annotates a rich set of entity types including persons, or... | https://api.github.com/repos/huggingface/datasets | {
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"Hi ! Thanks for reporting. I opened a PR to fix this issue: #2201",
"Nice question which helped me a lot! I have wasted a lot of time to the `DatasetDict` creation from a csv file. Hope the document of this module add some simple examples.",
"Hi :) We're indeed working on tutorials that we will add to the docs... | completed | [
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I'm using datasets 1.5.0
As you can see, when I load the dataset, the C... | https://api.github.com/repos/huggingface/datasets | null | 846,181,502 | https://api.github.com/repos/huggingface/datasets/issues/2153/comments | MDU6SXNzdWU4NDYxODE1MDI= | null | 2,153 | https://api.github.com/repos/huggingface/datasets/issues/2153/events | false |
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"@lhoestq I am going to implement the consolidation step you mentioned in #1870.",
"@lhoestq I was thinking that the order of the TableBlocks is not relevant, isn't it?\r\n\r\nI mean, in order to consolidate _consecutive_ in-memory table blocks, in this case:\r\n```\r\nblocks = [in_memory_1, memory_mapped, in_mem... | null | [
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] | Add support for axis in concatenate datasets | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2151/timeline | Add support for `axis` (0 or 1) in `concatenate_datasets`.
Close #853. | https://api.github.com/repos/huggingface/datasets | {
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Pickling is limited to <4GiB objects, it's not possible to pickle a big arrow table (for multiprocessing for example).
For big tables, we have to write them on disk and only pickle the path to the table. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-03-30T15:26:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/2149 | null | {
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"Good catch ! Thanks for reporting\r\n\r\nI just opened #2180 to fix this",
"Fixed in #2180"
] | completed | [] | Telugu subset missing for xtreme tatoeba dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2149/timeline | from nlp import load_dataset
train_dataset = load_dataset('xtreme', 'tatoeba.tel')['validation']
ValueError: BuilderConfig tatoeba.tel not found.
but language tel is actually included in xtreme:
https://github.com/google-research/xtreme/blob/master/utils_preprocess.py
def tatoeba_preprocess(args):
lang3_dict ... | https://api.github.com/repos/huggingface/datasets | null | 844,734,076 | https://api.github.com/repos/huggingface/datasets/issues/2149/comments | MDU6SXNzdWU4NDQ3MzQwNzY= | null | 2,149 | https://api.github.com/repos/huggingface/datasets/issues/2149/events | false |
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"Hi @marrodion. \r\n\r\nThanks for pointing this out. It would be great to incorporate this metric-specific enhancement.\r\n\r\nAnother possibility would be to require the user to input the scheme as a string `mode=\"strict\", scheme=\"IOB2\"` and then dynamically import the corresponding module using Python `impor... | completed | [] | Add configurable options to `seqeval` metric | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2148/timeline | Right now `load_metric("seqeval")` only works in the default mode of evaluation (equivalent to conll evaluation).
However, seqeval library [supports](https://github.com/chakki-works/seqeval#support-features) different evaluation schemes (IOB1, IOB2, etc.), which can be plugged in just by supporting additional kwargs... | https://api.github.com/repos/huggingface/datasets | null | 844,700,910 | https://api.github.com/repos/huggingface/datasets/issues/2148/comments | MDU6SXNzdWU4NDQ3MDA5MTA= | null | 2,148 | https://api.github.com/repos/huggingface/datasets/issues/2148/events | false |
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"Hi ! In the arrow file we store all the integers as uint8.\r\nSo your arrow file should weigh around `height x width x n_channels x n_images` bytes.\r\n\r\nWhat feature type do your TFDS dataset have ?\r\n\r\nIf it uses a `tfds.features.Image` type, then what is stored is the encoded data (as png or jpg for exampl... | null | [] | Dataset file size on disk is very large with 3D Array | NONE | https://api.github.com/repos/huggingface/datasets/issues/2146/timeline | Hi,
I have created my own dataset using the provided dataset loading script. It is an image dataset where images are stored as 3D Array with dtype=uint8.
The actual size on disk is surprisingly large. It takes 520 MB. Here is some info from `dataset_info.json`.
`{
"description": "",
"citation": ""... | https://api.github.com/repos/huggingface/datasets | null | 844,673,244 | https://api.github.com/repos/huggingface/datasets/issues/2146/comments | MDU6SXNzdWU4NDQ2NzMyNDQ= | null | 2,146 | https://api.github.com/repos/huggingface/datasets/issues/2146/events | false |
closed | 2021-03-30T14:02:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/2145 | null | {
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"#2274 has been merged. You can now merge master into this branch and use `assert_arrow_metadata_are_synced_with_dataset_features(dset)` to make sure that the metadata are good :)"
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] | Implement Dataset add_column | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2145/timeline | Implement `Dataset.add_column`.
Close #1954. | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-03-30T10:38:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/2144 | null | {
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"That's how I loaded the dataset\r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset('wikipedia', '20200501.en', cache_dir='/usr/local/workspace/NAS_NLP/cache')\r\n```",
"Hi ! It looks like the arrow file in the folder\r\n`/usr/local/workspace/NAS_NLP/cache/wikipedia/20200501.en/1.0.0/50aa706aa... | null | [] | Loading wikipedia 20200501.en throws pyarrow related error | NONE | https://api.github.com/repos/huggingface/datasets/issues/2144/timeline | **Problem description**
I am getting the following error when trying to load wikipedia/20200501.en dataset.
**Error log**
Downloading and preparing dataset wikipedia/20200501.en (download: 16.99 GiB, generated: 17.07 GiB, post-processed: Unknown size, total: 34.06 GiB) to /usr/local/workspace/NAS_NLP/cache/wikiped... | https://api.github.com/repos/huggingface/datasets | null | 844,352,067 | https://api.github.com/repos/huggingface/datasets/issues/2144/comments | MDU6SXNzdWU4NDQzNTIwNjc= | null | 2,144 | https://api.github.com/repos/huggingface/datasets/issues/2144/events | false |
closed | 2021-03-30T10:00:42Z | null | https://api.github.com/repos/huggingface/datasets/issues/2143 | {
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not satisfied with the API, it means as a dataset implementer I need to write a function with boilerplate and write classes for each `<dataset><task>` "facet". | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-03-29T23:47:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/2142 | null | {
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- challenge sets for most tasks
- detokenized TurkCorpus to match the rest of the text simplification subtasks
- fixed inputs for TurkCorpus and ASSET test sets
- 18 languages in WikiLingua
cc @sebastianGehrmann | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-03-29T23:38:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/2141 | null | {
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"Hi @lhoestq \r\nThanks a lot for taking time checking it. I update \"dataset_infos.json\", I added description to the function of _generate_samples in wikiann.py but I was not sure about the format to write in README. thanks. ",
"Thanks !\r\n\r\nFor the fields description in the dataset card, something like thi... | null | [] | added spans field for the wikiann datasets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2141/timeline | Hi @lhoestq
I tried to add spans to the wikiann datasets.
Thanks a lot for kindly having a look.
This addresses https://github.com/huggingface/datasets/issues/2130.
Best regards
Rabeeh | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-03-29T21:32:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/2140 | null | {
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"@lhoestq I updated files"
] | null | [] | add banking77 dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2140/timeline | Intent classification/detection dataset from banking category with 77 unique intents. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-03-29T18:23:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/2139 | null | {
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"Hi !\r\nI think this has been fixed recently on `master`.\r\nCan you try again by installing `datasets` from `master` ?\r\n```\r\npip install git+https://github.com/huggingface/datasets.git\r\n```",
"Hi!\r\n\r\nUsing that version of the code solves the issue. Thanks!"
] | completed | [] | TypeError when using save_to_disk in a dataset loaded with ReadInstruction split | NONE | https://api.github.com/repos/huggingface/datasets/issues/2139/timeline | Hi,
Loading a dataset with `load_dataset` using a split defined via `ReadInstruction` and then saving it to disk results in the following error: `TypeError: Object of type ReadInstruction is not JSON serializable`.
Here is the minimal reproducible example:
```python
from datasets import load_dataset
from dat... | https://api.github.com/repos/huggingface/datasets | null | 843,662,613 | https://api.github.com/repos/huggingface/datasets/issues/2139/comments | MDU6SXNzdWU4NDM2NjI2MTM= | null | 2,139 | https://api.github.com/repos/huggingface/datasets/issues/2139/events | false |
closed | 2021-03-29T15:52:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/2138 | null | {
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```python
from cer import CER
cer = CER()
class TestCER(unittest.TestCase):
def test_cer_case_senstive(self)... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-03-29T15:46:12Z | null | https://api.github.com/repos/huggingface/datasets/issues/2137 | null | {
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When calling `load_dataset` at the same time from 2 workers, one of the worker could have missing split infos when reloading the dataset from the cache.
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closed | 2021-03-29T15:34:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/2136 | null | {
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"Hi ! Indeed only the languages of the `translate-train` data are included...\r\nI can't find a link to download the english train set on https://github.com/facebookresearch/MLQA though, do you know where we can download it ?",
"Hi @lhoestq \r\nthank you very much for coming back to me, now I see, you are right, ... | completed | [] | en language data from MLQA dataset is missing | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2135/timeline | Hi
I need mlqa-translate-train.en dataset, but it is missing from the MLQA dataset. could you have a look please? @lhoestq thank you for your help to fix this issue. | https://api.github.com/repos/huggingface/datasets | null | 843,246,344 | https://api.github.com/repos/huggingface/datasets/issues/2135/comments | MDU6SXNzdWU4NDMyNDYzNDQ= | null | 2,135 | https://api.github.com/repos/huggingface/datasets/issues/2135/events | false |
closed | 2021-03-29T10:43:15Z | null | https://api.github.com/repos/huggingface/datasets/issues/2134 | {
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"Hi !\r\nIndeed `save_to_disk` doesn't call pickle anymore. Though the `OverflowError` can still appear for in-memory datasets bigger than 4GB. This happens when doing this for example:\r\n```python\r\nimport pyarrow as pa\r\nimport pickle\r\n\r\narr = pa.array([0] * ((4 * 8 << 30) // 64))\r\ntable = pa.Table.from_... | completed | [
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] | Saving large in-memory datasets with save_to_disk crashes because of pickling | NONE | https://api.github.com/repos/huggingface/datasets/issues/2134/timeline | Using Datasets 1.5.0 on Python 3.7.
Recently I've been working on medium to large size datasets (pretokenized raw text sizes from few gigabytes to low tens of gigabytes), and have found out that several preprocessing steps are massively faster when done in memory, and I have the ability to requisition a lot of RAM, so... | https://api.github.com/repos/huggingface/datasets | null | 843,242,849 | https://api.github.com/repos/huggingface/datasets/issues/2134/comments | MDU6SXNzdWU4NDMyNDI4NDk= | null | 2,134 | https://api.github.com/repos/huggingface/datasets/issues/2134/events | false |
closed | 2021-03-29T09:03:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/2133 | null | {
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"If you print those questions, you get readable texts:\r\n```python\r\n>>> questions = [\r\n... \"\\u0645\\u062a\\u0649 \\u0628\\u062f\\u0627\\u062a \\u0627\\u0644\\u0645\\u062c\\u0644\\u0629 \\u0627\\u0644\\u0645\\u062f\\u0631\\u0633\\u064a\\u0629 \\u0641\\u064a \\u0646\\u0648\\u062a\\u0631\\u062f\\u0627\\u064... | completed | [] | bug in mlqa dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2133/timeline | Hi
Looking into MLQA dataset for langauge "ar":
```
"question": [
"\u0645\u062a\u0649 \u0628\u062f\u0627\u062a \u0627\u0644\u0645\u062c\u0644\u0629 \u0627\u0644\u0645\u062f\u0631\u0633\u064a\u0629 \u0641\u064a \u0646\u0648\u062a\u0631\u062f\u0627\u0645 \u0628\u0627\u0644\u0646\u0634\u0631?",
"\u0643\u0... | https://api.github.com/repos/huggingface/datasets | null | 843,149,680 | https://api.github.com/repos/huggingface/datasets/issues/2133/comments | MDU6SXNzdWU4NDMxNDk2ODA= | null | 2,133 | https://api.github.com/repos/huggingface/datasets/issues/2133/events | false |
open | 2021-03-29T08:56:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/2132 | null | {
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"You can filter the languages this way:\r\n```python\r\ntydiqa_en = tydiqa_dataset.filter(lambda x: x[\"language\"] == \"english\")\r\n```\r\n\r\nOtherwise maybe we can have one configuration per language ?\r\nWhat do you think of this for example ?\r\n\r\n```python\r\nload_dataset(\"tydiqa\", \"primary_task.en\")\... | null | [] | TydiQA dataset is mixed and is not split per language | NONE | https://api.github.com/repos/huggingface/datasets/issues/2132/timeline | Hi @lhoestq
Currently TydiQA is mixed and user can only access the whole training set of all languages:
https://www.tensorflow.org/datasets/catalog/tydi_qa
for using this dataset, one need to train/evaluate in each separate language, and having them mixed, makes it hard to use this dataset. This is much convenien... | https://api.github.com/repos/huggingface/datasets | null | 843,142,822 | https://api.github.com/repos/huggingface/datasets/issues/2132/comments | MDU6SXNzdWU4NDMxNDI4MjI= | null | 2,132 | https://api.github.com/repos/huggingface/datasets/issues/2132/events | false |
closed | 2021-03-29T08:45:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/2131 | {
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"gists... | false | 2021-04-10T11:08:55Z | 2021-04-10T11:08:55Z | null | [
"Hi ! Thanks for reporting\r\nI was able to reproduce this issue. This was caused by missing split infos if a worker reloads the cache of the other worker.\r\n\r\nI just opened https://github.com/huggingface/datasets/pull/2137 to fix this issue",
"The PR got merged :)\r\nFeel free to try it out on the `master` br... | completed | [
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] | When training with Multi-Node Multi-GPU the worker 2 has TypeError: 'NoneType' object | NONE | https://api.github.com/repos/huggingface/datasets/issues/2131/timeline | version: 1.5.0
met a very strange error, I am training large scale language model, and need train on 2 machines(workers).
And sometimes I will get this error `TypeError: 'NoneType' object is not iterable`
This is traceback
```
71 | | Traceback (most recent call last):
-- | -- | --
72 | | File "run_gpt.py"... | https://api.github.com/repos/huggingface/datasets | null | 843,133,112 | https://api.github.com/repos/huggingface/datasets/issues/2131/comments | MDU6SXNzdWU4NDMxMzMxMTI= | null | 2,131 | https://api.github.com/repos/huggingface/datasets/issues/2131/events | false |
closed | 2021-03-29T08:23:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/2130 | null | {
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"Here please find TFDS format of this dataset: https://www.tensorflow.org/datasets/catalog/wikiann\r\nwhere there is a span column, this is really necessary to be able to use the data, and I appreciate your help @lhoestq ",
"Hi !\r\nApparently you can get the spans from the NER tags using `tags_to_spans` defined ... | completed | [
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Wikiann dataset needs to have "spans" columns, which is necessary to be able to use this dataset, but this column is missing from huggingface datasets, could you please have a look? thank you @lhoestq | https://api.github.com/repos/huggingface/datasets | null | 843,111,936 | https://api.github.com/repos/huggingface/datasets/issues/2130/comments | MDU6SXNzdWU4NDMxMTE5MzY= | null | 2,130 | https://api.github.com/repos/huggingface/datasets/issues/2130/events | false |
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