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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'is_pull_request'})

This happened while the json dataset builder was generating data using

hf://datasets/lewtun/github-issues-test/issues-with-comments.jsonl (at revision e3e3c81a4d7cc98d61d3b63b16b25e92008a9ba3)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              url: string
              repository_url: string
              labels_url: string
              comments_url: string
              events_url: string
              html_url: string
              id: int64
              node_id: string
              number: int64
              title: string
              user: struct<login: string, id: int64, node_id: string, avatar_url: string, gravatar_id: string, url: string, html_url: string, followers_url: string, following_url: string, gists_url: string, starred_url: string, subscriptions_url: string, organizations_url: string, repos_url: string, events_url: string, received_events_url: string, type: string, site_admin: bool>
                child 0, login: string
                child 1, id: int64
                child 2, node_id: string
                child 3, avatar_url: string
                child 4, gravatar_id: string
                child 5, url: string
                child 6, html_url: string
                child 7, followers_url: string
                child 8, following_url: string
                child 9, gists_url: string
                child 10, starred_url: string
                child 11, subscriptions_url: string
                child 12, organizations_url: string
                child 13, repos_url: string
                child 14, events_url: string
                child 15, received_events_url: string
                child 16, type: string
                child 17, site_admin: bool
              labels: list<item: struct<id: int64, node_id: string, url: string, name: string, color: string, default: bool, description: string>>
                child 0, item: struct<id: int64, node_id: string, url: string, name: string, color: string, default: bool, description: string>
                    child 0, id: int64
                    child 1, node_id: string
                    child 2, url: string
                    child 3, name: string
                    child 4, color: string
                    child 5, defaul
              ...
              g, html_url: string, followers_url: string, following_url: string, gists_url: string, starred_url: string, subscriptions_url: string, organizations_url: string, repos_url: string, events_url: string, received_events_url: string, type: string, site_admin: bool>
                    child 0, login: string
                    child 1, id: int64
                    child 2, node_id: string
                    child 3, avatar_url: string
                    child 4, gravatar_id: string
                    child 5, url: string
                    child 6, html_url: string
                    child 7, followers_url: string
                    child 8, following_url: string
                    child 9, gists_url: string
                    child 10, starred_url: string
                    child 11, subscriptions_url: string
                    child 12, organizations_url: string
                    child 13, repos_url: string
                    child 14, events_url: string
                    child 15, received_events_url: string
                    child 16, type: string
                    child 17, site_admin: bool
                child 9, open_issues: int64
                child 10, closed_issues: int64
                child 11, state: string
                child 12, created_at: int64
                child 13, updated_at: int64
                child 14, due_on: int64
                child 15, closed_at: int64
              comments: list<item: string>
                child 0, item: string
              created_at: int64
              updated_at: int64
              closed_at: int64
              author_association: string
              active_lock_reason: null
              pull_request: struct<url: string, html_url: string, diff_url: string, patch_url: string>
                child 0, url: string
                child 1, html_url: string
                child 2, diff_url: string
                child 3, patch_url: string
              body: string
              performed_via_github_app: null
              is_pull_request: bool
              to
              {'url': Value(dtype='string', id=None), 'repository_url': Value(dtype='string', id=None), 'labels_url': Value(dtype='string', id=None), 'comments_url': Value(dtype='string', id=None), 'events_url': Value(dtype='string', id=None), 'html_url': Value(dtype='string', id=None), 'id': Value(dtype='int64', id=None), 'node_id': Value(dtype='string', id=None), 'number': Value(dtype='int64', id=None), 'title': Value(dtype='string', id=None), 'user': {'login': Value(dtype='string', id=None), 'id': Value(dtype='int64', id=None), 'node_id': Value(dtype='string', id=None), 'avatar_url': Value(dtype='string', id=None), 'gravatar_id': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'html_url': Value(dtype='string', id=None), 'followers_url': Value(dtype='string', id=None), 'following_url': Value(dtype='string', id=None), 'gists_url': Value(dtype='string', id=None), 'starred_url': Value(dtype='string', id=None), 'subscriptions_url': Value(dtype='string', id=None), 'organizations_url': Value(dtype='string', id=None), 'repos_url': Value(dtype='string', id=None), 'events_url': Value(dtype='string', id=None), 'received_events_url': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'site_admin': Value(dtype='bool', id=None)}, 'labels': [{'id': Value(dtype='int64', id=None), 'node_id': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'color': Value(dtype='string', id=None), 'default': Value(dt
              ...
              html_url': Value(dtype='string', id=None), 'followers_url': Value(dtype='string', id=None), 'following_url': Value(dtype='string', id=None), 'gists_url': Value(dtype='string', id=None), 'starred_url': Value(dtype='string', id=None), 'subscriptions_url': Value(dtype='string', id=None), 'organizations_url': Value(dtype='string', id=None), 'repos_url': Value(dtype='string', id=None), 'events_url': Value(dtype='string', id=None), 'received_events_url': Value(dtype='string', id=None), 'type': Value(dtype='string', id=None), 'site_admin': Value(dtype='bool', id=None)}, 'open_issues': Value(dtype='int64', id=None), 'closed_issues': Value(dtype='int64', id=None), 'state': Value(dtype='string', id=None), 'created_at': Value(dtype='timestamp[s]', id=None), 'updated_at': Value(dtype='timestamp[s]', id=None), 'due_on': Value(dtype='timestamp[s]', id=None), 'closed_at': Value(dtype='timestamp[s]', id=None)}, 'comments': Value(dtype='int64', id=None), 'created_at': Value(dtype='timestamp[s]', id=None), 'updated_at': Value(dtype='timestamp[s]', id=None), 'closed_at': Value(dtype='timestamp[s]', id=None), 'author_association': Value(dtype='string', id=None), 'active_lock_reason': Value(dtype='null', id=None), 'pull_request': {'url': Value(dtype='string', id=None), 'html_url': Value(dtype='string', id=None), 'diff_url': Value(dtype='string', id=None), 'patch_url': Value(dtype='string', id=None)}, 'body': Value(dtype='string', id=None), 'performed_via_github_app': Value(dtype='null', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'is_pull_request'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/lewtun/github-issues-test/issues-with-comments.jsonl (at revision e3e3c81a4d7cc98d61d3b63b16b25e92008a9ba3)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

url
string
repository_url
string
labels_url
string
comments_url
string
events_url
string
html_url
string
id
int64
node_id
string
number
int64
title
string
user
dict
labels
list
state
string
locked
bool
assignee
null
assignees
sequence
milestone
null
comments
int64
created_at
timestamp[us]
updated_at
timestamp[us]
closed_at
timestamp[us]
author_association
string
active_lock_reason
null
pull_request
dict
body
string
performed_via_github_app
null
https://api.github.com/repos/huggingface/datasets/issues/2789
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967,361,934
MDExOlB1bGxSZXF1ZXN0NzA5NTQwMzY5
2,789
Updated dataset description of DaNE
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2021-08-11T19:58:48
2021-08-11T19:58:48
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NONE
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https://api.github.com/repos/huggingface/datasets/issues/2788
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967,149,389
MDU6SXNzdWU5NjcxNDkzODk=
2,788
How to sample every file in a list of files making up a split in a dataset when loading?
{ "login": "brijow", "id": 11220949, "node_id": "MDQ6VXNlcjExMjIwOTQ5", "avatar_url": "https://avatars.githubusercontent.com/u/11220949?v=4", "gravatar_id": "", "url": "https://api.github.com/users/brijow", "html_url": "https://github.com/brijow", "followers_url": "https://api.github.com/users/brijow/fo...
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2021-08-11T17:43:21
2021-08-11T17:43:21
null
NONE
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I am loading a dataset with multiple train, test, and validation files like this: ``` data_files_dict = { "train": [train_file1, train_file2], "test": [test_file1, test_file2], "val": [val_file1, val_file2] } dataset = datasets.load_dataset( "csv", data_files=data_files_dict, split=[...
null
https://api.github.com/repos/huggingface/datasets/issues/2787
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https://github.com/huggingface/datasets/issues/2787
967,018,406
MDU6SXNzdWU5NjcwMTg0MDY=
2,787
ConnectionError: Couldn't reach https://raw.githubusercontent.com
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2021-08-11T16:19:01
2021-08-11T17:09:21
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Hello, I am trying to run run_glue.py and it gives me this error - Traceback (most recent call last): File "E:/BERT/pytorch_hugging/transformers/examples/pytorch/text-classification/run_glue.py", line 546, in <module> main() File "E:/BERT/pytorch_hugging/transformers/examples/pytorch/text-classification/...
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966,282,934
MDExOlB1bGxSZXF1ZXN0NzA4NTQwMzU0
2,786
Support streaming compressed files
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2021-08-11T09:02:06
2021-08-11T13:11:36
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MEMBER
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Add support to stream compressed files (current options in fsspec): - bz2 - lz4 - xz - zstd cc: @lewtun
null
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965,461,382
MDExOlB1bGxSZXF1ZXN0NzA3NzcxOTM3
2,783
Add KS task to SUPERB
{ "login": "anton-l", "id": 26864830, "node_id": "MDQ6VXNlcjI2ODY0ODMw", "avatar_url": "https://avatars.githubusercontent.com/u/26864830?v=4", "gravatar_id": "", "url": "https://api.github.com/users/anton-l", "html_url": "https://github.com/anton-l", "followers_url": "https://api.github.com/users/anton-...
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2021-08-10T22:14:07
2021-08-11T20:19:17
2021-08-11T20:19:17
CONTRIBUTOR
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Add the KS (keyword spotting) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051). - [s3prl instructions](https://github.com/s3prl/s3prl/blob/master/s3prl/downstream/README.md#ks-keyword-spotting) - [s3prl implementation](https://github.com/s3prl/s3prl/blob/master/s3prl/downstream/speech_comma...
null
https://api.github.com/repos/huggingface/datasets/issues/2782
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964,858,439
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2,782
Fix renaming of corpus_bleu args
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2021-08-10T11:02:34
2021-08-10T11:16:07
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MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2782", "html_url": "https://github.com/huggingface/datasets/pull/2782", "diff_url": "https://github.com/huggingface/datasets/pull/2782.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2782.patch" }
Last `sacrebleu` release (v2.0.0) has renamed `sacrebleu.corpus_bleu` args from `(sys_stream, ref_streams)` to `(hipotheses, references)`: https://github.com/mjpost/sacrebleu/pull/152/files#diff-2553a315bb1f7e68c9c1b00d56eaeb74f5205aeb3a189bc3e527b122c6078795L17-R15 This PR passes the args without parameter names, s...
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https://api.github.com/repos/huggingface/datasets/issues/2781
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964,805,351
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2,781
Latest v2.0.0 release of sacrebleu has broken some metrics
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2021-08-10T09:59:41
2021-08-10T11:16:07
2021-08-10T11:16:07
MEMBER
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null
## Describe the bug After `sacrebleu` v2.0.0 release (see changes here: https://github.com/mjpost/sacrebleu/pull/152/files#diff-2553a315bb1f7e68c9c1b00d56eaeb74f5205aeb3a189bc3e527b122c6078795L17-R15), some of `datasets` metrics are broken: - Default tokenizer `sacrebleu.DEFAULT_TOKENIZER` no longer exists: - #273...
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https://api.github.com/repos/huggingface/datasets/issues/2780
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964,794,764
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VIVOS dataset for Vietnamese ASR
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2021-08-10T09:47:36
2021-08-11T14:09:50
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NONE
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964,775,085
MDExOlB1bGxSZXF1ZXN0NzA3MTgwNTgw
2,779
Fix sacrebleu tokenizers
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2021-08-10T09:24:27
2021-08-10T11:03:08
2021-08-10T10:57:54
MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2779", "html_url": "https://github.com/huggingface/datasets/pull/2779", "diff_url": "https://github.com/huggingface/datasets/pull/2779.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2779.patch" }
Last `sacrebleu` release (v2.0.0) has removed `sacrebleu.TOKENIZERS`: https://github.com/mjpost/sacrebleu/pull/152/files#diff-2553a315bb1f7e68c9c1b00d56eaeb74f5205aeb3a189bc3e527b122c6078795L17-R15 This PR makes a hot fix of the bug by using a private function in `sacrebleu`: `sacrebleu.metrics.bleu._get_tokenizer()...
null
https://api.github.com/repos/huggingface/datasets/issues/2778
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964,737,422
MDExOlB1bGxSZXF1ZXN0NzA3MTQ5MTk2
2,778
Do not pass tokenize to sacrebleu
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2021-08-10T08:40:37
2021-08-10T10:03:37
2021-08-10T10:03:37
MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2778", "html_url": "https://github.com/huggingface/datasets/pull/2778", "diff_url": "https://github.com/huggingface/datasets/pull/2778.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2778.patch" }
Last `sacrebleu` release (v2.0.0) has removed `sacrebleu.DEFAULT_TOKENIZER`: https://github.com/mjpost/sacrebleu/pull/152/files#diff-2553a315bb1f7e68c9c1b00d56eaeb74f5205aeb3a189bc3e527b122c6078795L17-R15 This PR does not pass `tokenize` to `sacrebleu` (note that the user cannot pass it anyway) and `sacrebleu` will ...
null
https://api.github.com/repos/huggingface/datasets/issues/2777
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964,696,380
MDExOlB1bGxSZXF1ZXN0NzA3MTEzNzg3
2,777
Use packaging to handle versions
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2021-08-10T07:51:39
2021-08-10T11:32:51
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MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2777", "html_url": "https://github.com/huggingface/datasets/pull/2777", "diff_url": "https://github.com/huggingface/datasets/pull/2777.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2777.patch" }
Use packaging module to handle/validate/check versions of Python packages. Related to #2769.
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https://api.github.com/repos/huggingface/datasets/issues/2776
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964,400,596
MDU6SXNzdWU5NjQ0MDA1OTY=
2,776
document `config.HF_DATASETS_OFFLINE` and precedence
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2021-08-09T21:23:17
2021-08-09T21:23:17
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CONTRIBUTOR
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https://github.com/huggingface/datasets/pull/1976 implemented `HF_DATASETS_OFFLINE`, but: 1. `config.HF_DATASETS_OFFLINE` is not documented 2. the precedence is not documented (env, config) I'm thinking it probably should be similar to what it says https://huggingface.co/docs/datasets/loading_datasets.html#from-th...
null
https://api.github.com/repos/huggingface/datasets/issues/2775
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964,303,626
MDU6SXNzdWU5NjQzMDM2MjY=
2,775
`generate_random_fingerprint()` deterministic with 🤗Transformers' `set_seed()`
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2021-08-09T19:28:51
2021-08-10T17:33:38
null
NONE
null
null
## Describe the bug **Update:** I dug into this to try to reproduce the underlying issue, and I believe it's that `set_seed()` from the `transformers` library makes the "random" fingerprint identical each time. I believe this is still a bug, because `datasets` is used exactly this way in `transformers` after `set_se...
null
https://api.github.com/repos/huggingface/datasets/issues/2774
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963,932,199
MDExOlB1bGxSZXF1ZXN0NzA2NDY2MDc0
2,774
Prevent .map from using multiprocessing when loading from cache
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2021-08-09T12:11:38
2021-08-11T09:12:01
null
CONTRIBUTOR
null
{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2774", "html_url": "https://github.com/huggingface/datasets/pull/2774", "diff_url": "https://github.com/huggingface/datasets/pull/2774.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2774.patch" }
## Context On our setup, we use different setup to train vs proprocessing datasets. Usually we are able to obtain a high number of cpus to preprocess, which allows us to use `num_proc` however we can't use as many during training phase. Currently if we use `num_proc={whatever the preprocessing value was}` we load fr...
null
https://api.github.com/repos/huggingface/datasets/issues/2773
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963,730,497
MDU6SXNzdWU5NjM3MzA0OTc=
2,773
Remove dataset_infos.json
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2021-08-09T07:43:19
2021-08-09T07:43:19
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MEMBER
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null
**Is your feature request related to a problem? Please describe.** As discussed, there are infos in the `dataset_infos.json` which are redundant and we could have them only in the README file. Others could be migrated to the README, like: "dataset_size", "size_in_bytes", "download_size", "splits.split_name.[num_byt...
null
https://api.github.com/repos/huggingface/datasets/issues/2772
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963,348,834
MDU6SXNzdWU5NjMzNDg4MzQ=
2,772
Remove returned feature constrain
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2021-08-08T04:01:30
2021-08-08T08:48:01
null
NONE
null
null
In the current version, the returned value of the map function has to be list or ndarray. However, this makes it unsuitable for many tasks. In NLP, many features are sparse like verb words, noun chunks, if we want to assign different values to different words, which will result in a large sparse matrix if we only score...
null
https://api.github.com/repos/huggingface/datasets/issues/2771
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963,257,036
MDExOlB1bGxSZXF1ZXN0NzA1OTExMDMw
2,771
[WIP][Common Voice 7] Add common voice 7.0
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2021-08-07T16:01:10
2021-08-07T16:19:38
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MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2771", "html_url": "https://github.com/huggingface/datasets/pull/2771", "diff_url": "https://github.com/huggingface/datasets/pull/2771.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2771.patch" }
This PR allows to load the new common voice dataset manually as explained when doing: ```python from datasets import load_dataset ds = load_dataset("./datasets/datasets/common_voice_7", "ab") ``` => ``` Please follow the manual download instructions: You need t...
null
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963,246,512
MDExOlB1bGxSZXF1ZXN0NzA1OTAzMzIy
2,770
Add support for fast tokenizer in BertScore
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2021-08-07T15:00:03
2021-08-09T12:34:43
2021-08-09T11:16:25
CONTRIBUTOR
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2770", "html_url": "https://github.com/huggingface/datasets/pull/2770", "diff_url": "https://github.com/huggingface/datasets/pull/2770.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2770.patch" }
This PR adds support for a fast tokenizer in BertScore, which has been added recently to the lib. Fixes #2765
null
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963,240,802
MDExOlB1bGxSZXF1ZXN0NzA1ODk5MTYy
2,769
Allow PyArrow from source
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2021-08-07T14:26:44
2021-08-09T15:38:39
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MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2769", "html_url": "https://github.com/huggingface/datasets/pull/2769", "diff_url": "https://github.com/huggingface/datasets/pull/2769.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2769.patch" }
When installing pyarrow from source the version is: ```python >>> import pyarrow; pyarrow.__version__ '2.1.0.dev612' ``` -> however this breaks the install check at init of `datasets`. This PR makes sure that everything coming after the last `'.'` is removed.
null
https://api.github.com/repos/huggingface/datasets/issues/2768
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963,229,173
MDU6SXNzdWU5NjMyMjkxNzM=
2,768
`ArrowInvalid: Added column's length must match table's length.` after using `select`
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2021-08-07T13:17:29
2021-08-09T11:26:43
2021-08-09T11:26:43
CONTRIBUTOR
null
null
## Describe the bug I would like to add a column to a downsampled dataset. However I get an error message saying the length don't match with the length of the unsampled dataset indicated. I suspect that the dataset size is not updated when calling `select`. ## Steps to reproduce the bug ```python from datasets im...
null
https://api.github.com/repos/huggingface/datasets/issues/2767
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963,002,120
MDU6SXNzdWU5NjMwMDIxMjA=
2,767
equal operation to perform unbatch for huggingface datasets
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2021-08-06T19:45:52
2021-08-07T19:56:21
null
NONE
null
null
Hi I need to use "unbatch" operation in tensorflow on a huggingface dataset, I could not find this operation, could you kindly direct me how I can do it, here is the problem I am trying to solve: I am considering "record" dataset in SuperGlue and I need to replicate each entery of the dataset for each answer, to ma...
null
https://api.github.com/repos/huggingface/datasets/issues/2766
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962,994,198
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fix typo (ShuffingConfig -> ShufflingConfig)
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2021-08-06T19:31:40
2021-08-10T14:17:03
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CONTRIBUTOR
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2766", "html_url": "https://github.com/huggingface/datasets/pull/2766", "diff_url": "https://github.com/huggingface/datasets/pull/2766.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2766.patch" }
pretty straightforward, it should be Shuffling instead of Shuffing
null
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962,861,395
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BERTScore Error
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2021-08-06T15:58:57
2021-08-09T11:16:25
2021-08-09T11:16:25
NONE
null
null
## Describe the bug A clear and concise description of what the bug is. ## Steps to reproduce the bug ```python predictions = ["hello there", "general kenobi"] references = ["hello there", "general kenobi"] bert = load_metric('bertscore') bert.compute(predictions=predictions, references=references,lang='en') ...
null
https://api.github.com/repos/huggingface/datasets/issues/2764
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962,554,799
MDExOlB1bGxSZXF1ZXN0NzA1MzI3MDQ5
2,764
Add DER metric for SUPERB speaker diarization task
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2021-08-06T09:12:36
2021-08-06T10:06:53
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MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2764", "html_url": "https://github.com/huggingface/datasets/pull/2764", "diff_url": "https://github.com/huggingface/datasets/pull/2764.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2764.patch" }
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961,895,523
MDU6SXNzdWU5NjE4OTU1MjM=
2,763
English wikipedia datasets is not clean
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2021-08-05T14:37:24
2021-08-05T14:37:41
null
CONTRIBUTOR
null
null
## Describe the bug Wikipedia english dumps contain many wikipedia paragraphs like "References", "Category:" and "See Also" that should not be used for training. ## Steps to reproduce the bug ```python # Sample code to reproduce the bug from datasets import load_dataset w = load_dataset('wikipedia', '20200501.e...
null
https://api.github.com/repos/huggingface/datasets/issues/2762
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961,652,046
MDU6SXNzdWU5NjE2NTIwNDY=
2,762
Add RVL-CDIP dataset
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2021-08-05T09:57:05
2021-08-05T09:57:22
null
NONE
null
null
## Adding a Dataset - **Name:** RVL-CDIP - **Description:** The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. The image...
null
https://api.github.com/repos/huggingface/datasets/issues/2761
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961,568,287
MDU6SXNzdWU5NjE1NjgyODc=
2,761
Error loading C4 realnewslike dataset
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null
4
2021-08-05T08:16:58
2021-08-08T19:44:34
2021-08-08T19:44:34
NONE
null
null
## Describe the bug Error loading C4 realnewslike dataset. Validation part mismatch ## Steps to reproduce the bug ```python raw_datasets = load_dataset('c4', 'realnewslike', cache_dir=model_args.cache_dir) ## Expected results success on data loading ## Actual results Downloading: 100%|███████████████████████...
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https://api.github.com/repos/huggingface/datasets/issues/2760
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961,372,667
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2,760
Add Nuswide dataset
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2021-08-05T03:00:41
2021-08-05T03:00:41
null
NONE
null
null
## Adding a Dataset - **Name:** *NUSWIDE* - **Description:** *[A Real-World Web Image Dataset from National University of Singapore](https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/NUS-WIDE.html)* - **Paper:** *[here](https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/nuswide-c...
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https://api.github.com/repos/huggingface/datasets/issues/2759
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960,636,572
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2,759
the meteor metric seems not consist with the official version
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2021-08-04T15:33:17
2021-08-04T17:18:54
null
NONE
null
null
## Describe the bug The computed meteor score seems strange because the value is very different from the scores computed by other tools. For example, I use the meteor score computed by [NLGeval](https://github.com/Maluuba/nlg-eval) as the reference (which reuses the official jar file for the computation) ## Steps t...
null
https://api.github.com/repos/huggingface/datasets/issues/2758
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960,206,575
MDExOlB1bGxSZXF1ZXN0NzAzMjQ5Nzky
2,758
Raise ManualDownloadError when loading a dataset that requires previous manual download
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2021-08-04T10:19:55
2021-08-04T11:36:30
2021-08-04T11:36:30
MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2758", "html_url": "https://github.com/huggingface/datasets/pull/2758", "diff_url": "https://github.com/huggingface/datasets/pull/2758.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2758.patch" }
This PR implements the raising of a `ManualDownloadError` when loading a dataset that requires previous manual download, and this is missing. The `ManualDownloadError` is raised whether the dataset is loaded in normal or streaming mode. Close #2749. cc: @severo
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959,984,081
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2,757
Unexpected type after `concatenate_datasets`
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2
2021-08-04T07:10:39
2021-08-04T16:01:24
2021-08-04T16:01:23
NONE
null
null
## Describe the bug I am trying to concatenate two `Dataset` using `concatenate_datasets` but it turns out that after concatenation the features are casted from `torch.Tensor` to `list`. It then leads to a weird tensors when trying to convert it to a `DataLoader`. However, if I use each `Dataset` separately everythi...
null
https://api.github.com/repos/huggingface/datasets/issues/2756
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959,255,646
MDExOlB1bGxSZXF1ZXN0NzAyMzk4Mjk1
2,756
Fix metadata JSON for ubuntu_dialogs_corpus dataset
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2021-08-03T15:48:59
2021-08-04T09:43:25
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MEMBER
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Related to #2743.
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https://api.github.com/repos/huggingface/datasets/issues/2755
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Fix metadata JSON for turkish_movie_sentiment dataset
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2021-08-03T13:25:44
2021-08-04T09:06:54
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MEMBER
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Generate metadata JSON for telugu_books dataset
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2021-08-03T13:14:52
2021-08-04T08:49:02
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Generate metadata JSON for reclor dataset
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2021-08-03T11:52:29
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Generate metadata JSON for lm1b dataset
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2021-08-03T11:34:56
2021-08-04T06:40:40
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Update metadata for wikihow dataset
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2021-08-03T11:31:57
2021-08-03T15:52:09
2021-08-03T15:52:09
MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2751", "html_url": "https://github.com/huggingface/datasets/pull/2751", "diff_url": "https://github.com/huggingface/datasets/pull/2751.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2751.patch" }
Update metadata for wikihow dataset: - Remove leading new line character in description and citation - Update metadata JSON - Remove no longer necessary `urls_checksums/checksums.txt` file Related to #2748.
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958,984,730
MDU6SXNzdWU5NTg5ODQ3MzA=
2,750
Second concatenation of datasets produces errors
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4
2021-08-03T10:47:04
2021-08-10T11:42:07
null
NONE
null
null
Hi, I am need to concatenate my dataset with others several times, and after I concatenate it for the second time, the features of features (e.g. tags names) are collapsed. This hinders, for instance, the usage of tokenize function with `data.map`. ``` from datasets import load_dataset, concatenate_datasets d...
null
https://api.github.com/repos/huggingface/datasets/issues/2749
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958,968,748
MDU6SXNzdWU5NTg5Njg3NDg=
2,749
Raise a proper exception when trying to stream a dataset that requires to manually download files
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2
2021-08-03T10:26:27
2021-08-09T08:53:35
2021-08-04T11:36:30
CONTRIBUTOR
null
null
## Describe the bug At least for 'reclor', 'telugu_books', 'turkish_movie_sentiment', 'ubuntu_dialogs_corpus', 'wikihow', trying to `load_dataset` in streaming mode raises a `TypeError` without any detail about why it fails. ## Steps to reproduce the bug ```python from datasets import load_dataset dataset = ...
null
https://api.github.com/repos/huggingface/datasets/issues/2748
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958,889,041
MDExOlB1bGxSZXF1ZXN0NzAyMDg4NTk4
2,748
Generate metadata JSON for wikihow dataset
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2021-08-03T08:55:40
2021-08-03T10:17:51
2021-08-03T10:17:51
MEMBER
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{ "url": "https://api.github.com/repos/huggingface/datasets/pulls/2748", "html_url": "https://github.com/huggingface/datasets/pull/2748", "diff_url": "https://github.com/huggingface/datasets/pull/2748.diff", "patch_url": "https://github.com/huggingface/datasets/pull/2748.patch" }
Related to #2743.
null
https://api.github.com/repos/huggingface/datasets/issues/2747
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958,867,627
MDExOlB1bGxSZXF1ZXN0NzAyMDcwOTgy
2,747
add multi-proc in `to_json`
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2021-08-03T08:30:13
2021-08-10T20:16:44
null
CONTRIBUTOR
null
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Closes #2663. I've tried adding multiprocessing in `to_json`. Here's some benchmarking I did to compare the timings of current version (say v1) and multi-proc version (say v2). I did this with `cpu_count` 4 (2015 Macbook Air) 1. Dataset name: `ascent_kb` - 8.9M samples (all samples were used, reporting this for a si...
null
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958,551,619
MDU6SXNzdWU5NTg1NTE2MTk=
2,746
Cannot load `few-nerd` dataset
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2021-08-02T22:18:57
2021-08-03T19:45:44
2021-08-03T19:45:43
NONE
null
null
## Describe the bug Cannot load `few-nerd` dataset. ## Steps to reproduce the bug ```python from datasets import load_dataset load_dataset('few-nerd', 'supervised') ``` ## Actual results Executing above code will give the following error: ``` Using the latest cached version of the module from /Users...
null
https://api.github.com/repos/huggingface/datasets/issues/2745
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958,269,579
MDExOlB1bGxSZXF1ZXN0NzAxNTc0Mjcz
2,745
added semeval18_emotion_classification dataset
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2021-08-02T15:39:55
2021-08-06T13:02:38
null
NONE
null
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I added the data set of SemEval 2018 Task 1 (Subtask 5) for emotion detection in three languages. ``` datasets-cli test datasets/semeval18_emotion_classification/ --save_infos --all_configs RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_semeval18_emotion_classification ...
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958,146,637
MDExOlB1bGxSZXF1ZXN0NzAxNDY4NDcz
2,744
Fix key by recreating metadata JSON for journalists_questions dataset
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2021-08-02T13:27:53
2021-08-03T09:25:34
2021-08-03T09:25:33
MEMBER
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Close #2743.
null
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958,119,251
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2,743
Dataset JSON is incorrect
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null
2
2021-08-02T13:01:26
2021-08-03T10:06:57
2021-08-03T09:25:33
CONTRIBUTOR
null
null
## Describe the bug The JSON file generated for https://github.com/huggingface/datasets/blob/573f3d35081cee239d1b962878206e9abe6cde91/datasets/journalists_questions/journalists_questions.py is https://github.com/huggingface/datasets/blob/573f3d35081cee239d1b962878206e9abe6cde91/datasets/journalists_questions/dataset...
null
https://api.github.com/repos/huggingface/datasets/issues/2742
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958,114,064
MDU6SXNzdWU5NTgxMTQwNjQ=
2,742
Improve detection of streamable file types
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2021-08-02T12:55:09
2021-08-02T16:35:49
null
CONTRIBUTOR
null
null
**Is your feature request related to a problem? Please describe.** ```python from datasets import load_dataset_builder from datasets.utils.streaming_download_manager import StreamingDownloadManager builder = load_dataset_builder("journalists_questions", name="plain_text") builder._split_generators(StreamingDownl...
null
https://api.github.com/repos/huggingface/datasets/issues/2741
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957,979,559
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2,741
Add Hypersim dataset
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2021-08-02T10:06:50
2021-08-02T10:06:50
null
NONE
null
null
## Adding a Dataset - **Name:** Hypersim - **Description:** photorealistic synthetic dataset for holistic indoor scene understanding - **Paper:** *link to the dataset paper if available* - **Data:** https://github.com/apple/ml-hypersim Instructions to add a new dataset can be found [here](https://github.com/hugg...
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https://api.github.com/repos/huggingface/datasets/issues/2740
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957,911,035
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Update release instructions
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2021-08-02T08:46:00
2021-08-02T14:39:56
2021-08-02T14:39:56
MEMBER
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Update release instructions.
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Pass tokenize to sacrebleu only if explicitly passed by user
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2021-08-02T05:09:05
2021-08-03T04:23:37
2021-08-03T04:23:37
MEMBER
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Next `sacrebleu` release (v2.0.0) will remove `sacrebleu.DEFAULT_TOKENIZER`: https://github.com/mjpost/sacrebleu/pull/152/files#diff-2553a315bb1f7e68c9c1b00d56eaeb74f5205aeb3a189bc3e527b122c6078795L17-R15 This PR passes `tokenize` to `sacrebleu` only if explicitly passed by the user, otherwise it will not pass it (a...
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Sunbird AI Ugandan low resource language dataset
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2021-08-01T15:18:00
2021-08-02T01:37:56
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NONE
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Multi-way parallel text corpus of 5 key Ugandan languages for the task of machine translation.
null
https://api.github.com/repos/huggingface/datasets/issues/2737
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SacreBLEU update
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2021-07-30T23:53:08
2021-08-03T04:23:37
2021-08-03T04:23:37
NONE
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null
With the latest release of [sacrebleu](https://github.com/mjpost/sacrebleu), `datasets.metrics.sacrebleu` is broken, and getting error. AttributeError: module 'sacrebleu' has no attribute 'DEFAULT_TOKENIZER' this happens since in new version of sacrebleu there is no `DEFAULT_TOKENIZER`, but sacrebleu.py tries...
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https://api.github.com/repos/huggingface/datasets/issues/2736
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2,736
Add Microsoft Building Footprints dataset
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2021-07-30T16:17:08
2021-07-31T05:02:19
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MEMBER
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## Adding a Dataset - **Name:** Microsoft Building Footprints - **Description:** With the goal to increase the coverage of building footprint data available as open data for OpenStreetMap and humanitarian efforts, we have released millions of building footprints as open data available to download free of charge. - *...
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https://api.github.com/repos/huggingface/datasets/issues/2735
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2,735
Add Open Buildings dataset
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2021-07-30T16:08:39
2021-07-31T05:01:25
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MEMBER
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## Adding a Dataset - **Name:** Open Buildings - **Description:** A dataset of building footprints to support social good applications. Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and climate science....
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https://api.github.com/repos/huggingface/datasets/issues/2734
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Update BibTeX entry
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2021-07-30T15:22:51
2021-07-30T15:47:58
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MEMBER
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Update BibTeX entry.
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https://api.github.com/repos/huggingface/datasets/issues/2733
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2,733
Add missing parquet known extension
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2021-07-30T13:01:20
2021-07-30T13:24:31
2021-07-30T13:24:30
MEMBER
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This code was failing because the parquet extension wasn't recognized: ```python from datasets import load_dataset base_url = "https://storage.googleapis.com/huggingface-nlp/cache/datasets/wikipedia/20200501.en/1.0.0/" data_files = {"train": base_url + "wikipedia-train.parquet"} wiki = load_dataset("parquet", da...
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Updated TTC4900 Dataset
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2021-07-30T11:52:14
2021-07-30T16:00:51
2021-07-30T15:58:14
CONTRIBUTOR
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- The source address of the TTC4900 dataset of [@savasy](https://github.com/savasy) has been updated for direct download. - Updated readme.
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First draft of a method to auto-convert our datasets to TF datasets!
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2021-07-29T18:10:25
2021-08-05T16:50:20
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NONE
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Oh my **god** do not merge this yet, it's just a draft. I've added a method (via a mixin) to the `arrow_dataset.Dataset` class that automatically converts our Dataset classes to TF Dataset classes ready for training. It hopefully has most of the features we want, including streaming from disk (no need to load the wh...
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https://api.github.com/repos/huggingface/datasets/issues/2730
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955,987,834
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Update CommonVoice with new release
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2021-07-29T15:59:59
2021-08-07T16:19:19
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MEMBER
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## Adding a Dataset - **Name:** CommonVoice mid-2021 release - **Description:** more data in CommonVoice: Languages that have increased the most by percentage are Thai (almost 20x growth, from 12 hours to 250 hours), Luganda (almost 9x growth, from 8 to 80), Esperanto (7x growth, from 100 to 840), and Tamil (almost 8...
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Fix IndexError while loading Arabic Billion Words dataset
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2021-07-29T14:47:02
2021-07-30T13:03:55
2021-07-30T13:03:55
MEMBER
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Catch `IndexError` and ignore that record. Close #2727.
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