The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: 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<avatar_url: string, events_url: string, followers_url: string, following_url: string, gists_u (... 285 chars omitted)
child 0, avatar_url: string
child 1, events_url: string
child 2, followers_url: string
child 3, following_url: string
child 4, gists_url: string
child 5, gravatar_id: string
child 6, html_url: string
child 7, id: int64
child 8, login: string
child 9, node_id: string
child 10, organizations_url: string
child 11, received_events_url: string
child 12, repos_url: string
child 13, site_admin: bool
child 14, starred_url: string
child 15, subscriptions_url: string
child 16, type: string
child 17, url: string
child 18, user_view_type: string
labels: list<element: struct<color: string, default: bool, description: string, id: int64, name: string, nod (... 27 chars omitted)
child 0, element: struct<color: string, default: bool, description: string, id: int64, name: string, node_id: string, (... 12 chars omitted)
child 0, color: string
child 1, default: bool
child 2, description: string
child 3, id: int64
child 4, name: string
child 5, node_id: string
child 6, url: string
state: string
locked: bool
assignee: struct<avatar_url: string, events_url: string, followers_url: string, following_url: string, gists_u (... 285
...
ollowers_url: string
child 3, following_url: string
child 4, gists_url: string
child 5, gravatar_id: string
child 6, html_url: string
child 7, id: int64
child 8, login: string
child 9, node_id: string
child 10, organizations_url: string
child 11, received_events_url: string
child 12, repos_url: string
child 13, site_admin: bool
child 14, starred_url: string
child 15, subscriptions_url: string
child 16, type: string
child 17, url: string
child 18, user_view_type: string
reactions: struct<+1: int64, -1: int64, confused: int64, eyes: int64, heart: int64, hooray: int64, laugh: int64 (... 49 chars omitted)
child 0, +1: int64
child 1, -1: int64
child 2, confused: int64
child 3, eyes: int64
child 4, heart: int64
child 5, hooray: int64
child 6, laugh: int64
child 7, rocket: int64
child 8, total_count: int64
child 9, url: string
timeline_url: string
performed_via_github_app: double
state_reason: string
sub_issues_summary: struct<completed: int64, percent_completed: int64, total: int64>
child 0, completed: int64
child 1, percent_completed: int64
child 2, total: int64
issue_dependencies_summary: struct<blocked_by: int64, blocking: int64, total_blocked_by: int64, total_blocking: int64>
child 0, blocked_by: int64
child 1, blocking: int64
child 2, total_blocked_by: int64
child 3, total_blocking: int64
is_pull_request: bool
-- schema metadata --
huggingface: '{"info": {"features": {"url": {"dtype": "string", "_type": ' + 8770
to
{'url': Value('string'), 'repository_url': Value('string'), 'labels_url': Value('string'), 'comments_url': Value('string'), 'events_url': Value('string'), 'html_url': Value('string'), 'id': Value('int64'), 'node_id': Value('string'), 'number': Value('int64'), 'title': Value('string'), 'user': {'login': Value('string'), 'id': Value('int64'), 'avatar_url': Value('string')}, 'labels': List({'name': Value('string'), 'color': Value('string')}), 'state': Value('string'), 'comments': List(Value('string')), 'created_at': Value('string'), 'updated_at': Value('string'), 'closed_at': Value('string'), 'body': Value('string'), 'is_pull_request': Value('bool')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1975, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, 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<avatar_url: string, events_url: string, followers_url: string, following_url: string, gists_u (... 285 chars omitted)
child 0, avatar_url: string
child 1, events_url: string
child 2, followers_url: string
child 3, following_url: string
child 4, gists_url: string
child 5, gravatar_id: string
child 6, html_url: string
child 7, id: int64
child 8, login: string
child 9, node_id: string
child 10, organizations_url: string
child 11, received_events_url: string
child 12, repos_url: string
child 13, site_admin: bool
child 14, starred_url: string
child 15, subscriptions_url: string
child 16, type: string
child 17, url: string
child 18, user_view_type: string
labels: list<element: struct<color: string, default: bool, description: string, id: int64, name: string, nod (... 27 chars omitted)
child 0, element: struct<color: string, default: bool, description: string, id: int64, name: string, node_id: string, (... 12 chars omitted)
child 0, color: string
child 1, default: bool
child 2, description: string
child 3, id: int64
child 4, name: string
child 5, node_id: string
child 6, url: string
state: string
locked: bool
assignee: struct<avatar_url: string, events_url: string, followers_url: string, following_url: string, gists_u (... 285
...
ollowers_url: string
child 3, following_url: string
child 4, gists_url: string
child 5, gravatar_id: string
child 6, html_url: string
child 7, id: int64
child 8, login: string
child 9, node_id: string
child 10, organizations_url: string
child 11, received_events_url: string
child 12, repos_url: string
child 13, site_admin: bool
child 14, starred_url: string
child 15, subscriptions_url: string
child 16, type: string
child 17, url: string
child 18, user_view_type: string
reactions: struct<+1: int64, -1: int64, confused: int64, eyes: int64, heart: int64, hooray: int64, laugh: int64 (... 49 chars omitted)
child 0, +1: int64
child 1, -1: int64
child 2, confused: int64
child 3, eyes: int64
child 4, heart: int64
child 5, hooray: int64
child 6, laugh: int64
child 7, rocket: int64
child 8, total_count: int64
child 9, url: string
timeline_url: string
performed_via_github_app: double
state_reason: string
sub_issues_summary: struct<completed: int64, percent_completed: int64, total: int64>
child 0, completed: int64
child 1, percent_completed: int64
child 2, total: int64
issue_dependencies_summary: struct<blocked_by: int64, blocking: int64, total_blocked_by: int64, total_blocking: int64>
child 0, blocked_by: int64
child 1, blocking: int64
child 2, total_blocked_by: int64
child 3, total_blocking: int64
is_pull_request: bool
-- schema metadata --
huggingface: '{"info": {"features": {"url": {"dtype": "string", "_type": ' + 8770
to
{'url': Value('string'), 'repository_url': Value('string'), 'labels_url': Value('string'), 'comments_url': Value('string'), 'events_url': Value('string'), 'html_url': Value('string'), 'id': Value('int64'), 'node_id': Value('string'), 'number': Value('int64'), 'title': Value('string'), 'user': {'login': Value('string'), 'id': Value('int64'), 'avatar_url': Value('string')}, 'labels': List({'name': Value('string'), 'color': Value('string')}), 'state': Value('string'), 'comments': List(Value('string')), 'created_at': Value('string'), 'updated_at': Value('string'), 'closed_at': Value('string'), 'body': Value('string'), 'is_pull_request': Value('bool')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Hugging Face Datasets Issues Dataset
π Dataset Description
This dataset contains GitHub issues and pull requests metadata collected from the
huggingface/datasets repository using the
GitHub REST API v3.
β οΈ Note: GitHubβs Issues API returns both issues and pull requests. The field
is_pull_requestcan be used to distinguish them.
π Dataset Structure
Data Fields
Each example contains:
- Issue metadata (title, body, state)
- User information
- Labels
- Comments
- Timestamps (
created_at,updated_at,closed_at) - Whether the item is a pull request
All timestamps are stored as ISO 8601 strings.
π Splits
| Split | Examples |
|---|---|
| train | 5 |
π Usage
from datasets import load_dataset
dataset = load_dataset("Li15165806885/create_my_dataset", split="train")
print(dataset[0])
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