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The files were changed in https://github.com/budzianowski/multiwoz/pull/72 | {
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https://api.github.com/repos/huggingface/datasets/issues/2280 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2280/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2280/comments | https://api.github.com/repos/huggingface/datasets/issues/2280/events | https://github.com/huggingface/datasets/pull/2280 | 870,780,431 | MDExOlB1bGxSZXF1ZXN0NjI1OTE2Mzcy | 2,280 | Fixed typo seperate->separate | {
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"Hi ! Thanks for the fix :)\r\nThe CI fail isn't related to your PR. I opened a PR #2286 to fix the CI.\r\nWe'll wait for #2286 to be merged to master first if you don't mind",
"The PR has been merged ! Feel free to merge master into your branch to fix the CI"
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https://api.github.com/repos/huggingface/datasets/issues/2279 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2279/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2279/comments | https://api.github.com/repos/huggingface/datasets/issues/2279/events | https://github.com/huggingface/datasets/issues/2279 | 870,431,662 | MDU6SXNzdWU4NzA0MzE2NjI= | 2,279 | Compatibility with Ubuntu 18 and GLIBC 2.27? | {
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"From the trace this seems like an error in the tokenizer library instead.\r\n\r\nDo you mind opening an issue at https://github.com/huggingface/tokenizers instead?",
"Hi @tginart, thanks for reporting.\r\n\r\nI think this issue is already open at `tokenizers` library: https://github.com/huggingface/tokenizers/is... | 1,619,647,687,000 | 1,619,682,162,000 | 1,619,682,162,000 | NONE | null | ## Describe the bug
For use on Ubuntu systems, it seems that datasets requires GLIBC 2.29. However, Ubuntu 18 runs with GLIBC 2.27 and it seems [non-trivial to upgrade GLIBC to 2.29 for Ubuntu 18 users](https://www.digitalocean.com/community/questions/how-install-glibc-2-29-or-higher-in-ubuntu-18-04).
I'm not sure... | {
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"Hi ! I think you might have to ask on the `transformers` repo on or the forum at https://discuss.huggingface.co/\r\n\r\nClosing since it's not related to this library"
] | 1,619,624,392,000 | 1,620,317,663,000 | 1,620,317,663,000 | NONE | null | Is there any way you give the " loss" and "logits" results in the gpt neo api? | {
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"Therefore, when I try to concatenate larger datasets (5x 35GB data sets) I also get an out of memory error, since over 90GB of swap space was used at the time of the crash:\r\n\r\n```\r\n---------------------------------------------------------------------------\r\nMemoryError Traceba... | 1,619,620,041,000 | 1,620,031,315,000 | 1,620,031,315,000 | NONE | null | ## Describe the bug
When I try to concatenate 2 datasets (10GB each) , the entire data is loaded into memory instead of being written directly to disk.
Interestingly, this happens when trying to save the new dataset to disk or concatenating it again.
![image](https://user-images.githubusercontent.com/7063207/116... | {
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https://api.github.com/repos/huggingface/datasets/issues/2275 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2275/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2275/comments | https://api.github.com/repos/huggingface/datasets/issues/2275/events | https://github.com/huggingface/datasets/issues/2275 | 869,378,311 | MDU6SXNzdWU4NjkzNzgzMTE= | 2,275 | SNLI dataset has labels of -1 | {
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"Hi @puzzler10, \r\nThose examples where `gold_label` field was empty, -1 label was alloted to it. In order to remove it you can filter the samples from train/val/test splits. Here's how you can drop those rows from the dataset:\r\n`dataset = load_dataset(\"snli\")`\r\n`dataset_test_filter = dataset['test'].filter(... | 1,619,569,945,000 | 1,621,258,458,000 | 1,621,258,458,000 | NONE | null | There are a number of rows with a label of -1 in the SNLI dataset. The dataset descriptions [here](https://nlp.stanford.edu/projects/snli/) and [here](https://github.com/huggingface/datasets/tree/master/datasets/snli) don't list -1 as a label possibility, and neither does the dataset viewer. As examples, see index 107... | {
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For each function that transforms the feature types of the dataset, I added ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2272 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2272/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2272/comments | https://api.github.com/repos/huggingface/datasets/issues/2272/events | https://github.com/huggingface/datasets/issues/2272 | 869,017,977 | MDU6SXNzdWU4NjkwMTc5Nzc= | 2,272 | Bug in Dataset.class_encode_column | {
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"This has been fixed in this commit: https://github.com/huggingface/datasets/pull/2254/commits/88676c930216cd4cc31741b99827b477d2b46cb6\r\n\r\nIt was introduced in #2246 : using map with `input_columns` doesn't return the other columns anymore"
] | 1,619,539,998,000 | 1,619,787,267,000 | 1,619,787,267,000 | MEMBER | null | ## Describe the bug
All the rest of the columns except the one passed to `Dataset.class_encode_column` are discarded.
## Expected results
All the original columns should be kept.
This needs regression tests.
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https://api.github.com/repos/huggingface/datasets/issues/2271 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2271/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2271/comments | https://api.github.com/repos/huggingface/datasets/issues/2271/events | https://github.com/huggingface/datasets/issues/2271 | 869,002,141 | MDU6SXNzdWU4NjkwMDIxNDE= | 2,271 | Synchronize table metadata with features | {
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"See PR #2274 "
] | 1,619,538,913,000 | 1,654,103,601,000 | 1,654,103,601,000 | MEMBER | null | **Is your feature request related to a problem? Please describe.**
As pointed out in this [comment](https://github.com/huggingface/datasets/pull/2145#discussion_r621326767):
> Metadata stored in the schema is just a redundant information regarding the feature types.
It is used when calling Dataset.from_file to kno... | {
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https://api.github.com/repos/huggingface/datasets/issues/2270 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2270/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2270/comments | https://api.github.com/repos/huggingface/datasets/issues/2270/events | https://github.com/huggingface/datasets/pull/2270 | 868,913,660 | MDExOlB1bGxSZXF1ZXN0NjI0MzU5Njky | 2,270 | Fix iterable interface expected by numpy | {
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"It's been fixed in this commit: https://github.com/huggingface/datasets/commit/549110e08238b3716a5904667095fb003acda54e\r\n\r\nBasically #2246 broke querying an index with a simple iterable.\r\nWith the fix, it's again possible to use iterables and we can keep RandIter as it is.\r\n\r\nClosing since the fix is alr... | 1,619,534,156,000 | 1,619,631,567,000 | 1,619,631,567,000 | MEMBER | null | Numpy expects the old iterable interface with `__getitem__` instead of `__iter__`. | {
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https://api.github.com/repos/huggingface/datasets/issues/2269 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2269/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2269/comments | https://api.github.com/repos/huggingface/datasets/issues/2269/events | https://github.com/huggingface/datasets/pull/2269 | 868,878,468 | MDExOlB1bGxSZXF1ZXN0NjI0MzMwNDA3 | 2,269 | Fix query table with iterable | {
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However there's currently an issue caused by the use of `np.array` instead of `np.fromiter` on the iterable.
This PR fixes it | {
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https://api.github.com/repos/huggingface/datasets/issues/2268 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2268/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2268/comments | https://api.github.com/repos/huggingface/datasets/issues/2268/events | https://github.com/huggingface/datasets/pull/2268 | 868,773,380 | MDExOlB1bGxSZXF1ZXN0NjI0MjQyODg1 | 2,268 | Don't use pyarrow 4.0.0 since it segfaults when casting a sliced ListArray of integers | {
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"@lhoestq note that the segfault also occurs on Linux.",
"Created the ticket at\r\nhttps://issues.apache.org/jira/browse/ARROW-12568",
"@lhoestq the ticket you mentioned is now in state resolved. Pyarrow supports AArch64 after version 4.0.0. Because of this restriction `datasets` is not installing in AArch64 sy... | 1,619,524,708,000 | 1,623,501,889,000 | 1,619,531,000,000 | MEMBER | null | This test `tests/test_table.py::test_concatenation_table_cast` segfaults with the latest update of pyarrow 4.0.0.
Setting `pyarrow<4.0.0` for now. I'll open an issue on JIRA once I know more about the origin of the issue | {
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https://api.github.com/repos/huggingface/datasets/issues/2267 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2267/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2267/comments | https://api.github.com/repos/huggingface/datasets/issues/2267/events | https://github.com/huggingface/datasets/issues/2267 | 868,291,129 | MDU6SXNzdWU4NjgyOTExMjk= | 2,267 | DatasetDict save load Failing test in 1.6 not in 1.5 | {
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"Thanks for reporting ! We're looking into it",
"I'm not able to reproduce this, do you think you can provide a code that creates a DatasetDict that has this issue when saving and reloading ?",
"Hi, I just ran into a similar error. Here is the minimal code to reproduce:\r\n```python\r\nfrom datasets import load... | 1,619,481,805,000 | 1,622,215,654,000 | null | NONE | null | ## Describe the bug
We have a test that saves a DatasetDict to disk and then loads it from disk. In 1.6 there is an incompatibility in the schema.
Downgrading to `>1.6` -- fixes the problem.
## Steps to reproduce the bug
```python
### Load a dataset dict from jsonl
path = '/test/foo'
ds_dict.s... | {
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https://api.github.com/repos/huggingface/datasets/issues/2266 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2266/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2266/comments | https://api.github.com/repos/huggingface/datasets/issues/2266/events | https://github.com/huggingface/datasets/pull/2266 | 867,864,353 | MDExOlB1bGxSZXF1ZXN0NjIzNDY1OTI5 | 2,266 | Make tests run faster | {
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"LOL, I was also working on something similar 😅. I'm gonna have a look!!!",
"Sorry I didn't know you were also working on it ^^'\r\nAnd yes I 100% agree with you on the points you mentioned. We should definitely improve the coverage. It would be nice to have a clearer separation to know which tests in the suite ... | 1,619,452,540,000 | 1,619,690,413,000 | 1,619,690,404,000 | MEMBER | null | From 7min to 2min to run pytest.
Ideally we should keep the whole CI run time below 10min.
In this PR I removed the remote tests that were never used.
I also replaced nested parametrized tests with unit tests.
This makes me think that we could still add more high level tests to check for a few combinations of par... | {
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https://api.github.com/repos/huggingface/datasets/issues/2265 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2265/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2265/comments | https://api.github.com/repos/huggingface/datasets/issues/2265/events | https://github.com/huggingface/datasets/pull/2265 | 867,490,646 | MDExOlB1bGxSZXF1ZXN0NjIzMTUyOTg5 | 2,265 | Update black | {
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This makes the CI currently fail on master | {
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"The code quality check is going to be fixed by #2265 ",
"The memory issue didn't come from `self.__dict__.copy()` but from the fact that this dict contains `_batches` which has all the batches of the table in it.\r\nTherefore for a MemoryMappedTable all the data in `_batches` were copied in memory when pickling ... | 1,619,428,895,000 | 1,619,433,028,000 | 1,619,431,694,000 | MEMBER | null | The table index is currently being pickled when doing multiprocessing, which brings all the record batches of the dataset in memory.
I fixed that by not pickling the index attributes. Therefore each process has to rebuild the index when unpickling the table.
Fix issue #2256
We'll do a patch release asap ! | {
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https://api.github.com/repos/huggingface/datasets/issues/2263 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2263/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2263/comments | https://api.github.com/repos/huggingface/datasets/issues/2263/events | https://github.com/huggingface/datasets/pull/2263 | 867,420,912 | MDExOlB1bGxSZXF1ZXN0NjIzMDk0NTcy | 2,263 | test data added, dataset_infos updated | {
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"Thanks @bhavitvyamalik for the fix !\r\nThe fix will be available in the next release.\r\nIt's already available on the `master` branch. For now you can either install `datasets` from source or use `script_version=\"master\"` in `load_dataset` to use the fixed version of this dataset."
] | 1,619,419,481,000 | 1,619,688,723,000 | 1,619,688,620,000 | NONE | null | In Newsph-NLI Dataset (#1192), it fails to access test data.
According to the script below, the download manager will download the train data when trying to download the test data.
https://github.com/huggingface/datasets/blob/2a2dd6316af2cc7fdf24e4779312e8ee0c7ed98b/datasets/newsph_nli/newsph_nli.py#L71
If yo... | {
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"Ready for the final review"
] | 1,619,377,646,000 | 1,621,275,884,000 | 1,621,270,137,000 | CONTRIBUTOR | null | Improve ReadInstruction logic and docs. | {
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https://api.github.com/repos/huggingface/datasets/issues/2260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2260/comments | https://api.github.com/repos/huggingface/datasets/issues/2260/events | https://github.com/huggingface/datasets/pull/2260 | 866,961,697 | MDExOlB1bGxSZXF1ZXN0NjIyNzMwODYx | 2,260 | GooAQ dataset added | {
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"Thanks for adding this one !\r\nThe download manager does support downloading files on git lfs via their github url. No need for a manual download option ;)"
] | 1,619,342,808,000 | 1,620,376,577,000 | 1,620,376,577,000 | CONTRIBUTOR | null | @lhoestq here the dataset is stored with Git LFS. Should I add option for manual downloading of dataset using `git lfs pull` post repo cloning or can we accommodate this in the current `download_and_extract`? | {
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https://api.github.com/repos/huggingface/datasets/issues/2259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2259/comments | https://api.github.com/repos/huggingface/datasets/issues/2259/events | https://github.com/huggingface/datasets/pull/2259 | 866,880,092 | MDExOlB1bGxSZXF1ZXN0NjIyNjc2ODA0 | 2,259 | Add support for Split.ALL | {
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"Honestly, I think we should fix some other issues in Split API before this change. E. g. currently the following will not work, even though it should:\r\n```python\r\nimport datasets\r\ndatasets.load_dataset(\"sst\", split=datasets.Split.TRAIN+datasets.Split.TEST) # AssertionError\r\n```\r\n\r\nEDIT:\r\nActually,... | 1,619,315,142,000 | 1,624,868,487,000 | 1,624,868,487,000 | CONTRIBUTOR | null | The title says it all. | {
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https://api.github.com/repos/huggingface/datasets/issues/2258 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2258/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2258/comments | https://api.github.com/repos/huggingface/datasets/issues/2258/events | https://github.com/huggingface/datasets/pull/2258 | 866,870,588 | MDExOlB1bGxSZXF1ZXN0NjIyNjcxNTQy | 2,258 | Fix incorrect update_metadata_with_features calls in ArrowDataset | {
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"@lhoestq Maybe a test that runs the functions that call `update_metadata_with_features` and checks if metadata was updated would be nice to prevent this from happening in the future."
] | 1,619,311,718,000 | 1,619,457,390,000 | 1,619,456,044,000 | CONTRIBUTOR | null | Fixes bugs in the `unpdate_metadata_with_features` calls (caused by changes in #2151) | {
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https://api.github.com/repos/huggingface/datasets/issues/2257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2257/comments | https://api.github.com/repos/huggingface/datasets/issues/2257/events | https://github.com/huggingface/datasets/pull/2257 | 866,755,203 | MDExOlB1bGxSZXF1ZXN0NjIyNTkwMDQw | 2,257 | added metrics for CUAD | {
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"> For now I've added F1, AUPR, Precision at 80% recall, and Precision at 90%. Last 3 metrics were reported in the [paper](https://arxiv.org/pdf/2103.06268.pdf). Please let me know if we require `exact_match` metric too here\r\n\r\n@bhavitvyamalik I guess the mentioned metrics are enough but it would be better if ... | 1,619,273,394,000 | 1,619,690,018,000 | 1,619,540,192,000 | CONTRIBUTOR | null | For now I've added F1, AUPR, Precision at 80% recall, and Precision at 90%. Last 3 metrics were reported in the [paper](https://arxiv.org/pdf/2103.06268.pdf). Please let me know if we require `exact_match` metric too here | {
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https://api.github.com/repos/huggingface/datasets/issues/2256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2256/comments | https://api.github.com/repos/huggingface/datasets/issues/2256/events | https://github.com/huggingface/datasets/issues/2256 | 866,708,609 | MDU6SXNzdWU4NjY3MDg2MDk= | 2,256 | Running `datase.map` with `num_proc > 1` uses a lot of memory | {
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"Thanks for reporting ! We are working on this and we'll do a patch release very soon.",
"We did a patch release to fix this issue.\r\nIt should be fixed in the new version 1.6.1\r\n\r\nThanks again for reporting and for the details :)"
] | 1,619,258,180,000 | 1,619,457,135,000 | 1,619,457,135,000 | NONE | null | ## Describe the bug
Running `datase.map` with `num_proc > 1` leads to a tremendous memory usage that requires swapping on disk and it becomes very slow.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dstc8_datset = load_dataset("roskoN/dstc8-reddit-corpus", keep_in_memory=False)
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https://api.github.com/repos/huggingface/datasets/issues/2255 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2255/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2255/comments | https://api.github.com/repos/huggingface/datasets/issues/2255/events | https://github.com/huggingface/datasets/pull/2255 | 866,242,892 | MDExOlB1bGxSZXF1ZXN0NjIyMTc0Njg4 | 2,255 | Task casting for text classification & question answering | {
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"cc @abhi1thakur ",
"Looks really nice so far, thanks !\r\nMaybe if a dataset doesn't have a template for a specific task we could try the default template of this task ?",
"hey @SBrandeis @lhoestq,\r\n\r\ni now have a better idea about what you guys are trying to achieve with the task templates and have a few ... | 1,619,193,641,000 | 1,621,344,696,000 | 1,621,344,695,000 | CONTRIBUTOR | null | This PR implements task preparation for a given task, in the continuation of #2143
Task taxonomy follows 🤗 Transformers's pipelines taxonomy: https://github.com/huggingface/transformers/tree/master/src/transformers/pipelines
Edit by @lewtun:
This PR implements support for the following tasks:
* `text-clas... | {
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https://api.github.com/repos/huggingface/datasets/issues/2254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2254/comments | https://api.github.com/repos/huggingface/datasets/issues/2254/events | https://github.com/huggingface/datasets/pull/2254 | 866,169,312 | MDExOlB1bGxSZXF1ZXN0NjIyMTE1NDI0 | 2,254 | Update format, fingerprint and indices after add_item | {
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"I renamed the variable, added a test for dataset._indices and fixed an issue with class_encode_column"
] | 1,619,188,309,000 | 1,619,541,049,000 | 1,619,541,048,000 | MEMBER | null | Added fingerprint and format update wrappers + update the indices by adding the index of the newly added item in the table. | {
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"@lhoestq is there a problem in the master branch? I got a segmentation fault...\r\n```\r\ntests/test_table.py::test_concatenation_table_cast[in_memory] Fatal Python error: Segmentation fault\r\n```",
"Oh wow. Let me re-run the CI just to make sure",
"Hmm interesting, the segfault is still there. I'm investigat... | 1,619,178,347,000 | 1,622,106,765,000 | 1,619,535,779,000 | MEMBER | null | Perform minor refactoring related to `config`. | {
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"Hi ! Sorry to hear that. This may come from another issue then.\r\n\r\nFirst can we check if this latency comes from the dataset itself ?\r\nYou can try to load your dataset and benchmark the speed of querying random examples inside it ?\r\n```python\r\nimport time\r\nimport numpy as np\r\n\r\nfrom datasets import... | 1,619,165,900,000 | 1,647,529,578,000 | null | NONE | null | Hi,
I reported too slow data fetching when data is large(#2210) a couple of weeks ago, and @lhoestq referred me to the fix (#2122).
However, the problem seems to persist. Here is the profiled results:
1) Running with 60GB
```
Action | Mean duration (s) |Num calls | Total ... | {
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python3 run_qa.py --model_name_or_path hyunwoongko/kobart --dataset_name squad_kor_v2 --do_train --do_eval --per_device_train_batch_size 8 --learning_rate 3e-5 --num_train_epochs 3 --max_seq_length 512 --doc_stride 128 --output_dir /tmp/debug_squad/
error:
ValueError: External fe... | {
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https://api.github.com/repos/huggingface/datasets/issues/2250 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2250/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2250/comments | https://api.github.com/repos/huggingface/datasets/issues/2250/events | https://github.com/huggingface/datasets/issues/2250 | 865,402,449 | MDU6SXNzdWU4NjU0MDI0NDk= | 2,250 | some issue in loading local txt file as Dataset for run_mlm.py | {
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"Hi,\r\n\r\n1. try\r\n ```python\r\n dataset = load_dataset(\"text\", data_files={\"train\": [\"a1.txt\", \"b1.txt\"], \"test\": [\"c1.txt\"]})\r\n ```\r\n instead.\r\n\r\n Sadly, I can't reproduce the error on my machine. If the above code doesn't resolve the issue, try to update the library to the ... | 1,619,120,353,000 | 1,648,628,987,000 | 1,648,628,987,000 | NONE | null | 
first of all, I tried to load 3 .txt files as a dataset (sure that the directory and permission is OK.), I face with the below error.
> FileNotFoundError: [Errno 2] No such file or directory: 'c'
by ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2249 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2249/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2249/comments | https://api.github.com/repos/huggingface/datasets/issues/2249/events | https://github.com/huggingface/datasets/pull/2249 | 865,257,826 | MDExOlB1bGxSZXF1ZXN0NjIxMzU1MzE3 | 2,249 | Allow downloading/processing/caching only specific splits | {
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"> If you pass a dictionary like this:\r\n> \r\n> ```\r\n> {\"main_metadata\": url_to_main_data,\r\n> \"secondary_metadata\": url_to_sec_data,\r\n> \"train\": url_train_data,\r\n> \"test\": url_test_data}\r\n> ```\r\n> \r\n> then only the train or test keys will be kept, which I feel not intuitive.\r\n> \r\n> For e... | 1,619,113,904,000 | 1,630,560,811,000 | null | MEMBER | null | Allow downloading/processing/caching only specific splits without downloading/processing/caching the other splits.
This PR implements two steps to handle only specific splits:
- it allows processing/caching only specific splits into Arrow files
- for some simple cases, it allows downloading only specific splits (w... | {
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https://api.github.com/repos/huggingface/datasets/issues/2247 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2247/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2247/comments | https://api.github.com/repos/huggingface/datasets/issues/2247/events | https://github.com/huggingface/datasets/pull/2247 | 864,817,520 | MDExOlB1bGxSZXF1ZXN0NjIwOTgzNzY3 | 2,247 | Implement Dataset from Parquet | {
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"Hi @albertvillanova , I'll implement the parquet builder as an ArrowBasedBuilder if you don't mind",
"closing in favor of #2537 that is already merged"
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https://api.github.com/repos/huggingface/datasets/issues/2246 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2246/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2246/comments | https://api.github.com/repos/huggingface/datasets/issues/2246/events | https://github.com/huggingface/datasets/pull/2246 | 864,220,031 | MDExOlB1bGxSZXF1ZXN0NjIwNDg3OTUw | 2,246 | Faster map w/ input_columns & faster slicing w/ Iterable keys | {
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"@lhoestq Just fixed the code style issues— I think it should be good to merge now :)"
] | 1,619,034,547,000 | 1,619,453,639,000 | 1,619,453,639,000 | CONTRIBUTOR | null | @lhoestq Fixes #2193
- `map` now uses `with_format` to only load needed columns in memory when `input_columns` is set
- Slicing datasets with Iterables of indices now uses a new `Table.fast_gather` method, implemented with `np.searchsorted`, to find the appropriate batch indices all at once. `pa.concat_tables` is ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2245 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2245/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2245/comments | https://api.github.com/repos/huggingface/datasets/issues/2245/events | https://github.com/huggingface/datasets/pull/2245 | 863,191,655 | MDExOlB1bGxSZXF1ZXN0NjE5NjQzMjQ3 | 2,245 | Add `key` type and duplicates verification with hashing | {
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"@lhoestq The tests for key type and duplicate keys have been added and verified successfully.\r\nAfter generating with an intentionally faulty `mnist` script, when there is an incompatible key type, it shows:\r\n\r\n```\r\nDownloading and preparing dataset mnist/mnist (download: 11.06 MiB, generated: 60.62 MiB, po... | 1,618,948,999,000 | 1,620,669,877,000 | 1,620,667,882,000 | CONTRIBUTOR | null | Closes #2230
There is currently no verification for the data type and the uniqueness of the keys yielded by the `dataset_builder`.
This PR is currently a work in progress with the following goals:
- [x] Adding `hash_salt` to `ArrowWriter` so that the keys belonging to different splits have different hash
- [x]... | {
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"@lhoestq, I think this reaches some memory limit on Linux instances... (?)",
"It looks like the `comet` metric test fails because it tries to load a model in memory.\r\nIn the tests I think we have `patch_comet` that mocks the model download + inference. Not sure why it didn't work though.\r\nI can take a look t... | 1,618,938,382,000 | 1,630,560,811,000 | null | MEMBER | null | Implement specific cache directories (datasets, metrics and modules) per test function call.
Currently, the cache directories are set within the temporary test directory, but they are shared across all test function calls.
This PR implements specific cache directories for each test function call, so that tests ar... | {
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"Hi @villmow, thanks for reporting.\r\n\r\nCould you please try with the Datasets version 1.6? We released it yesterday and it fixes some issues about the processing speed. You can see the fix implemented by @lhoestq here: #2122.\r\n\r\nOnce you update Datasets, please confirm if the problem persists.",
"Hi @albe... | 1,618,930,700,000 | 1,620,064,473,000 | 1,620,064,472,000 | NONE | null | ## Describe the bug
I have a somewhat unclear bug to me, where I can't figure out what the problem is. The code works as expected on a small subset of my dataset (2000 samples) on my local machine, but when I execute the same code with a larger dataset (1.4 million samples) this problem occurs. Thats why I can't giv... | {
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https://api.github.com/repos/huggingface/datasets/issues/2242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2242/comments | https://api.github.com/repos/huggingface/datasets/issues/2242/events | https://github.com/huggingface/datasets/issues/2242 | 862,870,205 | MDU6SXNzdWU4NjI4NzAyMDU= | 2,242 | Link to datasets viwer on Quick Tour page returns "502 Bad Gateway" | {
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"This should be fixed now!\r\n\r\ncc @srush "
] | 1,618,928,391,000 | 1,618,930,965,000 | 1,618,930,965,000 | NONE | null | Link to datasets viwer (https://huggingface.co/datasets/viewer/) on Quick Tour page (https://huggingface.co/docs/datasets/quicktour.html) returns "502 Bad Gateway"
The same error with https://huggingface.co/datasets/viewer/?dataset=glue&config=mrpc | {
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https://api.github.com/repos/huggingface/datasets/issues/2241 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2241/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2241/comments | https://api.github.com/repos/huggingface/datasets/issues/2241/events | https://github.com/huggingface/datasets/pull/2241 | 862,696,460 | MDExOlB1bGxSZXF1ZXN0NjE5MjI0MzIw | 2,241 | Add SLR32 to OpenSLR | {
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"> And yet another one ! Thanks a lot :)\r\n\r\nI just hope you don’t get fed up with openslr PR 😊 there are still few other datasets created by google in openslr that is not in hf dataset yet\r\n"
] | 1,618,916,565,000 | 1,619,194,884,000 | 1,619,192,175,000 | CONTRIBUTOR | null | I would like to add SLR32 to OpenSLR. It contains four South African languages: Afrikaans, Sesotho, Setswana and isiXhosa | {
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https://api.github.com/repos/huggingface/datasets/issues/2240 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2240/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2240/comments | https://api.github.com/repos/huggingface/datasets/issues/2240/events | https://github.com/huggingface/datasets/pull/2240 | 862,537,856 | MDExOlB1bGxSZXF1ZXN0NjE5MDkyODc5 | 2,240 | Clarify how to load wikihow | {
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En relation with #2239. | {
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https://api.github.com/repos/huggingface/datasets/issues/2239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2239/comments | https://api.github.com/repos/huggingface/datasets/issues/2239/events | https://github.com/huggingface/datasets/issues/2239 | 861,904,306 | MDU6SXNzdWU4NjE5MDQzMDY= | 2,239 | Error loading wikihow dataset | {
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"Hi @odellus, thanks for reporting.\r\n\r\nThe `wikihow` dataset has 2 versions:\r\n- `all`: Consisting of the concatenation of all paragraphs as the articles and the bold lines as the reference summaries.\r\n- `sep`: Consisting of each paragraph and its summary.\r\n\r\nTherefore, in order to load it, you have to s... | 1,618,866,151,000 | 1,618,936,391,000 | 1,618,936,391,000 | CONTRIBUTOR | null | ## Describe the bug
When attempting to load wikihow into a dataset with
```python
from datasets import load_dataset
dataset = load_dataset('wikihow', data_dir='./wikihow')
```
I get the message:
```
AttributeError: 'BuilderConfig' object has no attribute 'filename'
```
at the end of a [full stack trace](htt... | {
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https://api.github.com/repos/huggingface/datasets/issues/2237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2237/comments | https://api.github.com/repos/huggingface/datasets/issues/2237/events | https://github.com/huggingface/datasets/issues/2237 | 861,427,439 | MDU6SXNzdWU4NjE0Mjc0Mzk= | 2,237 | Update Dataset.dataset_size after transformed with map | {
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"@albertvillanova I would like to take this up. It would be great if you could point me as to how the dataset size is calculated in HF. Thanks!"
] | 1,618,845,578,000 | 1,618,928,525,000 | null | MEMBER | null | After loading a dataset, if we transform it by using `.map` its `dataset_size` attirbute is not updated. | {
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- **Name:** StrategyQA
- **Description:** open-domain QA [(project page)](https://allenai.org/data/strategyqa)
- **Paper:** [url](https://arxiv.org/pdf/2101.02235.pdf)
- **Data:** [here](https://allenai.org/data/strategyqa)
- **Motivation:** uniquely-formulated dataset that als... | {
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https://api.github.com/repos/huggingface/datasets/issues/2235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2235/comments | https://api.github.com/repos/huggingface/datasets/issues/2235/events | https://github.com/huggingface/datasets/pull/2235 | 861,040,716 | MDExOlB1bGxSZXF1ZXN0NjE3Nzc0NDUw | 2,235 | Update README.md | {
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https://api.github.com/repos/huggingface/datasets/issues/2234 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2234/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2234/comments | https://api.github.com/repos/huggingface/datasets/issues/2234/events | https://github.com/huggingface/datasets/pull/2234 | 860,442,246 | MDExOlB1bGxSZXF1ZXN0NjE3MzI4NDU3 | 2,234 | Fix bash snippet formatting in ADD_NEW_DATASET.md | {
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The `xnli` dataset yields a tuple key in case of `ar` which is inconsistant with the acceptable key types (str/int).
The key was thus ported to `str` keeping the original information intact. | {
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https://api.github.com/repos/huggingface/datasets/issues/2232 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2232/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2232/comments | https://api.github.com/repos/huggingface/datasets/issues/2232/events | https://github.com/huggingface/datasets/pull/2232 | 860,075,931 | MDExOlB1bGxSZXF1ZXN0NjE3MDQyNTI4 | 2,232 | Start filling GLUE dataset card | {
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"I replaced all the \"we\" and applied your suggestion",
"Merging this for now, we can continue improving this card in other PRs :)"
] | 1,618,598,257,000 | 1,618,997,589,000 | 1,618,997,588,000 | MEMBER | null | The dataset card was pretty much empty.
I added the descriptions (mainly from TFDS since the script is the same), and I also added the tasks tags as well as examples for a subset of the tasks.
cc @sgugger | {
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https://api.github.com/repos/huggingface/datasets/issues/2231 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2231/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2231/comments | https://api.github.com/repos/huggingface/datasets/issues/2231/events | https://github.com/huggingface/datasets/pull/2231 | 859,850,488 | MDExOlB1bGxSZXF1ZXN0NjE2ODYyNTEx | 2,231 | Fix map when removing columns on a formatted dataset | {
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The `remove_columns` argument was ignored on formatted datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/2230 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2230/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2230/comments | https://api.github.com/repos/huggingface/datasets/issues/2230/events | https://github.com/huggingface/datasets/issues/2230 | 859,817,159 | MDU6SXNzdWU4NTk4MTcxNTk= | 2,230 | Keys yielded while generating dataset are not being checked | {
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"Hi ! Indeed there's no verification on the uniqueness nor the types of the keys.\r\nDo you already have some ideas of what you would like to implement and how ?",
"Hey @lhoestq, thank you so much for the opportunity.\r\nAlthough I haven't had much experience with the HF Datasets code, after a careful look at how... | 1,618,579,787,000 | 1,620,667,881,000 | 1,620,667,881,000 | CONTRIBUTOR | null | The keys used in the dataset generation script to ensure the same order is generated on every user's end should be checked for their types (i.e either `str` or `int`) as well as whether they are unique or not.
Currently, the keys are not being checked for any of these, as evident from `xnli' dataset generation:
https... | {
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https://api.github.com/repos/huggingface/datasets/issues/2229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2229/comments | https://api.github.com/repos/huggingface/datasets/issues/2229/events | https://github.com/huggingface/datasets/issues/2229 | 859,810,602 | MDU6SXNzdWU4NTk4MTA2MDI= | 2,229 | `xnli` dataset creating a tuple key while yielding instead of `str` or `int` | {
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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!"
] | 1,618,579,313,000 | 1,618,822,602,000 | 1,618,822,602,000 | CONTRIBUTOR | null | 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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https://api.github.com/repos/huggingface/datasets/issues/2228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2228/comments | https://api.github.com/repos/huggingface/datasets/issues/2228/events | https://github.com/huggingface/datasets/pull/2228 | 859,795,563 | MDExOlB1bGxSZXF1ZXN0NjE2ODE2MTQz | 2,228 | [WIP] Add ArrayXD support for fixed size list. | {
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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"
] | 1,618,578,248,000 | 1,618,837,338,000 | null | NONE | null | 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. | {
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https://api.github.com/repos/huggingface/datasets/issues/2227 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2227/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2227/comments | https://api.github.com/repos/huggingface/datasets/issues/2227/events | https://github.com/huggingface/datasets/pull/2227 | 859,771,526 | MDExOlB1bGxSZXF1ZXN0NjE2Nzk1NjMx | 2,227 | Use update_metadata_with_features decorator in class_encode_column method | {
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https://api.github.com/repos/huggingface/datasets/issues/2226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2226/comments | https://api.github.com/repos/huggingface/datasets/issues/2226/events | https://github.com/huggingface/datasets/issues/2226 | 859,720,302 | MDU6SXNzdWU4NTk3MjAzMDI= | 2,226 | Batched map fails when removing all columns | {
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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... | 1,618,571,821,000 | 1,618,585,841,000 | null | NONE | null | 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)
> ```
He... | {
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https://api.github.com/repos/huggingface/datasets/issues/2225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2225/comments | https://api.github.com/repos/huggingface/datasets/issues/2225/events | https://github.com/huggingface/datasets/pull/2225 | 858,469,561 | MDExOlB1bGxSZXF1ZXN0NjE1NzAzMTY4 | 2,225 | fixed one instance of 'train' to 'test' | {
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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... | 1,618,460,800,000 | 1,618,524,590,000 | 1,618,521,549,000 | CONTRIBUTOR | null | I believe this should be 'test' instead of 'train' | {
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Linked to discussion in #2220. | {
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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... | 1,618,404,924,000 | 1,618,513,885,000 | 1,618,513,885,000 | MEMBER | null | 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. | {
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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.",
"Do you agree with handling the case where MAX_PATH is not d... | 1,618,403,212,000 | 1,618,412,425,000 | 1,618,411,579,000 | MEMBER | null | Fix WindowsFileLock name longer than allowed MAX_PATH by shortening the basename. | {
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Nigerian English, Chilean Spanish, Columbian Spanish, Peruvian Spanish, Puerto Rico Spanish, Venezuelan Spanish, Basque, Galician, Gujarati and Kannada. | {
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https://api.github.com/repos/huggingface/datasets/issues/2220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2220/comments | https://api.github.com/repos/huggingface/datasets/issues/2220/events | https://github.com/huggingface/datasets/pull/2220 | 857,774,626 | MDExOlB1bGxSZXF1ZXN0NjE1MTM4NDQz | 2,220 | Fix infinite loop in WindowsFileLock | {
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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... | 1,618,397,398,000 | 1,618,412,390,000 | 1,618,412,374,000 | MEMBER | null | Raise exception to avoid infinite loop. | {
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https://api.github.com/repos/huggingface/datasets/issues/2219 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2219/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2219/comments | https://api.github.com/repos/huggingface/datasets/issues/2219/events | https://github.com/huggingface/datasets/pull/2219 | 857,321,242 | MDExOlB1bGxSZXF1ZXN0NjE0NzYxMzA3 | 2,219 | Added CUAD dataset | {
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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",
... | 1,618,347,903,000 | 1,619,274,351,000 | 1,618,563,044,000 | CONTRIBUTOR | null | Dataset link : https://github.com/TheAtticusProject/cuad/
Working on README.md currently.
Closes #2084 and [#1](https://github.com/TheAtticusProject/cuad/issues/1). | {
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https://api.github.com/repos/huggingface/datasets/issues/2218 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2218/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2218/comments | https://api.github.com/repos/huggingface/datasets/issues/2218/events | https://github.com/huggingface/datasets/issues/2218 | 857,238,435 | MDU6SXNzdWU4NTcyMzg0MzU= | 2,218 | Duplicates in the LAMA dataset | {
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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... | 1,618,340,389,000 | 1,618,436,547,000 | null | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2217/comments | https://api.github.com/repos/huggingface/datasets/issues/2217/events | https://github.com/huggingface/datasets/pull/2217 | 857,011,314 | MDExOlB1bGxSZXF1ZXN0NjE0NTAxNjIz | 2,217 | Revert breaking change in cache_files property | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2216 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2216/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2216/comments | https://api.github.com/repos/huggingface/datasets/issues/2216/events | https://github.com/huggingface/datasets/pull/2216 | 856,955,534 | MDExOlB1bGxSZXF1ZXN0NjE0NDU0MjE1 | 2,216 | added real label for glue/mrpc to test set | {
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https://api.github.com/repos/huggingface/datasets/issues/2215 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2215/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2215/comments | https://api.github.com/repos/huggingface/datasets/issues/2215/events | https://github.com/huggingface/datasets/pull/2215 | 856,716,791 | MDExOlB1bGxSZXF1ZXN0NjE0MjUyNTEy | 2,215 | Add datasets SLR35 and SLR36 to OpenSLR | {
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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\... | 1,618,302,247,000 | 1,618,322,714,000 | 1,618,322,714,000 | CONTRIBUTOR | null | 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. | {
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https://api.github.com/repos/huggingface/datasets/issues/2214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2214/comments | https://api.github.com/repos/huggingface/datasets/issues/2214/events | https://github.com/huggingface/datasets/issues/2214 | 856,333,657 | MDU6SXNzdWU4NTYzMzM2NTc= | 2,214 | load_metric error: module 'datasets.utils.file_utils' has no attribute 'add_start_docstrings' | {
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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 ... | 1,618,259,161,000 | 1,619,191,202,000 | 1,619,191,202,000 | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2213 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2213/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2213/comments | https://api.github.com/repos/huggingface/datasets/issues/2213/events | https://github.com/huggingface/datasets/pull/2213 | 856,025,320 | MDExOlB1bGxSZXF1ZXN0NjEzNjcwODk2 | 2,213 | Fix lc_quad download checksum | {
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https://api.github.com/repos/huggingface/datasets/issues/2212 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2212/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2212/comments | https://api.github.com/repos/huggingface/datasets/issues/2212/events | https://github.com/huggingface/datasets/issues/2212 | 855,999,133 | MDU6SXNzdWU4NTU5OTkxMzM= | 2,212 | Can't reach "https://storage.googleapis.com/illuin/fquad/train.json.zip" when trying to load fquad dataset | {
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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\... | 1,618,235,396,000 | 1,621,289,826,000 | null | NONE | null | 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, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2211 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2211/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2211/comments | https://api.github.com/repos/huggingface/datasets/issues/2211/events | https://github.com/huggingface/datasets/issues/2211 | 855,988,410 | MDU6SXNzdWU4NTU5ODg0MTA= | 2,211 | Getting checksum error when trying to load lc_quad dataset | {
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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... | 1,618,234,738,000 | 1,618,407,745,000 | 1,618,407,745,000 | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2210 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2210/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2210/comments | https://api.github.com/repos/huggingface/datasets/issues/2210/events | https://github.com/huggingface/datasets/issues/2210 | 855,709,400 | MDU6SXNzdWU4NTU3MDk0MDA= | 2,210 | dataloading slow when using HUGE dataset | {
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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. "
] | 1,618,216,382,000 | 1,618,279,385,000 | 1,618,279,385,000 | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2209 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2209/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2209/comments | https://api.github.com/repos/huggingface/datasets/issues/2209/events | https://github.com/huggingface/datasets/pull/2209 | 855,638,232 | MDExOlB1bGxSZXF1ZXN0NjEzMzQwMTI2 | 2,209 | Add code of conduct to the project | {
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This was already done in `transformers`. | {
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https://api.github.com/repos/huggingface/datasets/issues/2208 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2208/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2208/comments | https://api.github.com/repos/huggingface/datasets/issues/2208/events | https://github.com/huggingface/datasets/pull/2208 | 855,343,835 | MDExOlB1bGxSZXF1ZXN0NjEzMTAxMzMw | 2,208 | Remove Python2 leftovers | {
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"merging since the CI is fixed on master"
] | 1,618,157,283,000 | 1,618,437,936,000 | 1,618,407,651,000 | CONTRIBUTOR | null | This PR removes Python2 leftovers since this project aims for Python3.6+ (and as of 2020 Python2 is no longer officially supported) | {
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https://api.github.com/repos/huggingface/datasets/issues/2207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2207/comments | https://api.github.com/repos/huggingface/datasets/issues/2207/events | https://github.com/huggingface/datasets/issues/2207 | 855,267,383 | MDU6SXNzdWU4NTUyNjczODM= | 2,207 | making labels consistent across the datasets | {
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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... | 1,618,135,436,000 | 1,654,100,588,000 | 1,654,100,470,000 | NONE | null | 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 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2206/comments | https://api.github.com/repos/huggingface/datasets/issues/2206/events | https://github.com/huggingface/datasets/issues/2206 | 855,252,415 | MDU6SXNzdWU4NTUyNTI0MTU= | 2,206 | Got pyarrow error when loading a dataset while adding special tokens into the tokenizer | {
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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... | 1,618,130,409,000 | 1,636,546,710,000 | 1,636,545,868,000 | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2205 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2205/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2205/comments | https://api.github.com/repos/huggingface/datasets/issues/2205/events | https://github.com/huggingface/datasets/pull/2205 | 855,207,605 | MDExOlB1bGxSZXF1ZXN0NjEzMDAwMzYw | 2,205 | Updating citation information on LinCE readme | {
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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! | {
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https://api.github.com/repos/huggingface/datasets/issues/2204 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2204/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2204/comments | https://api.github.com/repos/huggingface/datasets/issues/2204/events | https://github.com/huggingface/datasets/pull/2204 | 855,144,431 | MDExOlB1bGxSZXF1ZXN0NjEyOTU1MzM2 | 2,204 | Add configurable options to `seqeval` metric | {
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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). | {
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https://api.github.com/repos/huggingface/datasets/issues/2203 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2203/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2203/comments | https://api.github.com/repos/huggingface/datasets/issues/2203/events | https://github.com/huggingface/datasets/pull/2203 | 855,053,595 | MDExOlB1bGxSZXF1ZXN0NjEyODg4MzA5 | 2,203 | updated banking77 train and test data | {
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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"
] | 1,618,056,610,000 | 1,619,188,419,000 | 1,619,188,419,000 | NONE | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2202/comments | https://api.github.com/repos/huggingface/datasets/issues/2202/events | https://github.com/huggingface/datasets/pull/2202 | 854,501,109 | MDExOlB1bGxSZXF1ZXN0NjEyNDM2ODMx | 2,202 | Add classes GenerateMode, DownloadConfig and Version to the documentation | {
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Update the docstring of `load_dataset` to create cross-reference links to the classes.
Related to #2187. | {
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https://api.github.com/repos/huggingface/datasets/issues/2201 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2201/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2201/comments | https://api.github.com/repos/huggingface/datasets/issues/2201/events | https://github.com/huggingface/datasets/pull/2201 | 854,499,563 | MDExOlB1bGxSZXF1ZXN0NjEyNDM1NTE3 | 2,201 | Fix ArrowWriter overwriting features in ArrowBasedBuilder | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2200 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2200/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2200/comments | https://api.github.com/repos/huggingface/datasets/issues/2200/events | https://github.com/huggingface/datasets/issues/2200 | 854,449,656 | MDU6SXNzdWU4NTQ0NDk2NTY= | 2,200 | _prepare_split will overwrite DatasetBuilder.info.features | {
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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... | 1,617,968,833,000 | 1,622,803,055,000 | 1,622,803,055,000 | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2199/comments | https://api.github.com/repos/huggingface/datasets/issues/2199/events | https://github.com/huggingface/datasets/pull/2199 | 854,417,318 | MDExOlB1bGxSZXF1ZXN0NjEyMzY0ODU3 | 2,199 | Fix backward compatibility in Dataset.load_from_disk | {
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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... | 1,617,966,070,000 | 1,617,983,825,000 | 1,617,983,825,000 | MEMBER | null | Fix backward compatibility when loading from disk an old dataset saved to disk with indices using key "_indices_data_files".
Related to #2195. | {
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https://api.github.com/repos/huggingface/datasets/issues/2198 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2198/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2198/comments | https://api.github.com/repos/huggingface/datasets/issues/2198/events | https://github.com/huggingface/datasets/pull/2198 | 854,357,481 | MDExOlB1bGxSZXF1ZXN0NjEyMzE0MTIz | 2,198 | added file_permission in load_dataset | {
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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... | 1,617,961,146,000 | 1,618,582,306,000 | 1,618,582,306,000 | CONTRIBUTOR | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2197 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2197/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2197/comments | https://api.github.com/repos/huggingface/datasets/issues/2197/events | https://github.com/huggingface/datasets/pull/2197 | 854,356,559 | MDExOlB1bGxSZXF1ZXN0NjEyMzEzMzQw | 2,197 | fix missing indices_files in load_form_disk | {
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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 | {
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https://api.github.com/repos/huggingface/datasets/issues/2196 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2196/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2196/comments | https://api.github.com/repos/huggingface/datasets/issues/2196/events | https://github.com/huggingface/datasets/issues/2196 | 854,126,114 | MDU6SXNzdWU4NTQxMjYxMTQ= | 2,196 | `load_dataset` caches two arrow files? | {
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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... | 1,617,940,159,000 | 1,618,205,129,000 | 1,618,205,129,000 | NONE | null | 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`? | {
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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"
] | 1,617,932,232,000 | 1,617,962,109,000 | 1,617,962,079,000 | NONE | null | 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 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2194 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2194/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2194/comments | https://api.github.com/repos/huggingface/datasets/issues/2194/events | https://github.com/huggingface/datasets/issues/2194 | 853,909,452 | MDU6SXNzdWU4NTM5MDk0NTI= | 2,194 | py3.7: TypeError: can't pickle _LazyModule objects | {
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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"
] | 1,617,915,768,000 | 1,617,987,410,000 | 1,617,933,177,000 | MEMBER | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2193/comments | https://api.github.com/repos/huggingface/datasets/issues/2193/events | https://github.com/huggingface/datasets/issues/2193 | 853,725,707 | MDU6SXNzdWU4NTM3MjU3MDc= | 2,193 | Filtering/mapping on one column is very slow | {
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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... | 1,617,905,774,000 | 1,619,453,639,000 | 1,619,453,639,000 | CONTRIBUTOR | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2192 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2192/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2192/comments | https://api.github.com/repos/huggingface/datasets/issues/2192/events | https://github.com/huggingface/datasets/pull/2192 | 853,547,910 | MDExOlB1bGxSZXF1ZXN0NjExNjE5NTY0 | 2,192 | Fix typo in huggingface hub | {
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The `packaging` dependency is also required for the build to complete. | {
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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 ... | 1,617,880,864,000 | 1,618,818,791,000 | 1,618,818,790,000 | MEMBER | null | Refactorize Dataset tests to use Dataset as context manager. | {
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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... | 1,617,868,423,000 | 1,621,850,635,000 | 1,621,850,635,000 | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2189 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2189/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2189/comments | https://api.github.com/repos/huggingface/datasets/issues/2189/events | https://github.com/huggingface/datasets/issues/2189 | 853,052,891 | MDU6SXNzdWU4NTMwNTI4OTE= | 2,189 | save_to_disk doesn't work when we use concatenate_datasets function before creating the final dataset_object. | {
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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"
] | 1,617,856,973,000 | 1,654,101,135,000 | 1,654,101,135,000 | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2188 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2188/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2188/comments | https://api.github.com/repos/huggingface/datasets/issues/2188/events | https://github.com/huggingface/datasets/issues/2188 | 853,044,166 | MDU6SXNzdWU4NTMwNDQxNjY= | 2,188 | Duplicate data in Timit dataset | {
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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"
] | 1,617,855,714,000 | 1,617,883,999,000 | 1,617,883,999,000 | NONE | null | 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?
Would such an act of... | {
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https://api.github.com/repos/huggingface/datasets/issues/2187 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2187/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2187/comments | https://api.github.com/repos/huggingface/datasets/issues/2187/events | https://github.com/huggingface/datasets/issues/2187 | 852,939,736 | MDU6SXNzdWU4NTI5Mzk3MzY= | 2,187 | Question (potential issue?) related to datasets caching | {
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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 ... | 1,617,840,988,000 | 1,618,412,158,000 | null | NONE | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2186 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2186/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2186/comments | https://api.github.com/repos/huggingface/datasets/issues/2186/events | https://github.com/huggingface/datasets/pull/2186 | 852,840,819 | MDExOlB1bGxSZXF1ZXN0NjExMDMxNzE0 | 2,186 | GEM: new challenge sets | {
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"cc @sebastiangehrmann"
] | 1,617,831,547,000 | 1,617,832,595,000 | 1,617,832,595,000 | MEMBER | null | 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 | {
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https://api.github.com/repos/huggingface/datasets/issues/2185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2185/comments | https://api.github.com/repos/huggingface/datasets/issues/2185/events | https://github.com/huggingface/datasets/issues/2185 | 852,684,395 | MDU6SXNzdWU4NTI2ODQzOTU= | 2,185 | .map() and distributed training | {
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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... | 1,617,819,734,000 | 1,634,973,075,000 | 1,617,982,711,000 | MEMBER | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2184 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2184/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2184/comments | https://api.github.com/repos/huggingface/datasets/issues/2184/events | https://github.com/huggingface/datasets/pull/2184 | 852,597,258 | MDExOlB1bGxSZXF1ZXN0NjEwODIxMTc0 | 2,184 | Implementation of class_encode_column | {
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"Made the required changes @lhoestq , sorry it took so much time!"
] | 1,617,814,063,000 | 1,618,573,477,000 | 1,618,572,419,000 | CONTRIBUTOR | null | Addresses #2176
I'm happy to discuss the API and internals! | {
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https://api.github.com/repos/huggingface/datasets/issues/2183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2183/comments | https://api.github.com/repos/huggingface/datasets/issues/2183/events | https://github.com/huggingface/datasets/pull/2183 | 852,518,411 | MDExOlB1bGxSZXF1ZXN0NjEwNzU3MjUz | 2,183 | Fix s3fs tests for py36 and py37+ | {
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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... | {
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