Dataset Viewer
Auto-converted to Parquet Duplicate
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
number: int64
title: string
body: string
comments: int64
comments_text: string
state: string
is_pull_request: bool
title_length: int64
body_length: int64
num_labels: int64
is_open: bool
url: string
-- schema metadata --
huggingface: '{"info": {"features": {"number": {"dtype": "int64", "_type"' + 571
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'), 'node_id': Value('string'), 'avatar_url': Value('string'), 'gravatar_id': Value('string'), 'url': Value('string'), 'html_url': Value('string'), 'followers_url': Value('string'), 'following_url': Value('string'), 'gists_url': Value('string'), 'starred_url': Value('string'), 'subscriptions_url': Value('string'), 'organizations_url': Value('string'), 'repos_url': Value('string'), 'events_url': Value('string'), 'received_events_url': Value('string'), 'type': Value('string'), 'user_view_type': Value('string'), 'site_admin': Value('bool')}, 'labels': List({'id': Value('int64'), 'node_id': Value('string'), 'url': Value('string'), 'name': Value('string'), 'color': Value('string'), 'default': Value('bool'), 'description': Value('string')}), 'state': Value('string'), 'locked': Value('bool'), 'assignees': List({'login': Value('string'), 'id': Value('int64'), 'node_id': Value('string'), 'avatar_url': Value('string'), 'gravatar_id': Value('string'), 'url': Value('string'), 'html_url': Value('string'), 'followers_url': Value('string'), 'following_url': Value('string'), 'gists_url': Value('string'), 'starred_url': Value('string'), 'subscriptions_url': Va
...
erged_at': Value('timestamp[s]')}, 'body': Value('string'), 'closed_by': {'login': Value('string'), 'id': Value('int64'), 'node_id': Value('string'), 'avatar_url': Value('string'), 'gravatar_id': Value('string'), 'url': Value('string'), 'html_url': Value('string'), 'followers_url': Value('string'), 'following_url': Value('string'), 'gists_url': Value('string'), 'starred_url': Value('string'), 'subscriptions_url': Value('string'), 'organizations_url': Value('string'), 'repos_url': Value('string'), 'events_url': Value('string'), 'received_events_url': Value('string'), 'type': Value('string'), 'user_view_type': Value('string'), 'site_admin': Value('bool')}, 'reactions': {'url': Value('string'), 'total_count': Value('int64'), '+1': Value('int64'), '-1': Value('int64'), 'laugh': Value('int64'), 'hooray': Value('int64'), 'confused': Value('int64'), 'heart': Value('int64'), 'rocket': Value('int64'), 'eyes': Value('int64')}, 'timeline_url': Value('string'), 'performed_via_github_app': Value('null'), 'state_reason': Value('string'), 'sub_issues_summary': {'total': Value('int64'), 'completed': Value('int64'), 'percent_completed': Value('int64')}, 'issue_dependencies_summary': {'blocked_by': Value('int64'), 'total_blocked_by': Value('int64'), 'blocking': Value('int64'), 'total_blocking': Value('int64')}, 'pinned_comment': Value('null'), 'is_pull_request': Value('bool'), 'title_length': Value('int64'), 'body_length': Value('int64'), 'num_labels': Value('int64'), 'is_open': 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 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 209, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 147, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              number: int64
              title: string
              body: string
              comments: int64
              comments_text: string
              state: string
              is_pull_request: bool
              title_length: int64
              body_length: int64
              num_labels: int64
              is_open: bool
              url: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"number": {"dtype": "int64", "_type"' + 571
              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'), 'node_id': Value('string'), 'avatar_url': Value('string'), 'gravatar_id': Value('string'), 'url': Value('string'), 'html_url': Value('string'), 'followers_url': Value('string'), 'following_url': Value('string'), 'gists_url': Value('string'), 'starred_url': Value('string'), 'subscriptions_url': Value('string'), 'organizations_url': Value('string'), 'repos_url': Value('string'), 'events_url': Value('string'), 'received_events_url': Value('string'), 'type': Value('string'), 'user_view_type': Value('string'), 'site_admin': Value('bool')}, 'labels': List({'id': Value('int64'), 'node_id': Value('string'), 'url': Value('string'), 'name': Value('string'), 'color': Value('string'), 'default': Value('bool'), 'description': Value('string')}), 'state': Value('string'), 'locked': Value('bool'), 'assignees': List({'login': Value('string'), 'id': Value('int64'), 'node_id': Value('string'), 'avatar_url': Value('string'), 'gravatar_id': Value('string'), 'url': Value('string'), 'html_url': Value('string'), 'followers_url': Value('string'), 'following_url': Value('string'), 'gists_url': Value('string'), 'starred_url': Value('string'), 'subscriptions_url': Va
              ...
              erged_at': Value('timestamp[s]')}, 'body': Value('string'), 'closed_by': {'login': Value('string'), 'id': Value('int64'), 'node_id': Value('string'), 'avatar_url': Value('string'), 'gravatar_id': Value('string'), 'url': Value('string'), 'html_url': Value('string'), 'followers_url': Value('string'), 'following_url': Value('string'), 'gists_url': Value('string'), 'starred_url': Value('string'), 'subscriptions_url': Value('string'), 'organizations_url': Value('string'), 'repos_url': Value('string'), 'events_url': Value('string'), 'received_events_url': Value('string'), 'type': Value('string'), 'user_view_type': Value('string'), 'site_admin': Value('bool')}, 'reactions': {'url': Value('string'), 'total_count': Value('int64'), '+1': Value('int64'), '-1': Value('int64'), 'laugh': Value('int64'), 'hooray': Value('int64'), 'confused': Value('int64'), 'heart': Value('int64'), 'rocket': Value('int64'), 'eyes': Value('int64')}, 'timeline_url': Value('string'), 'performed_via_github_app': Value('null'), 'state_reason': Value('string'), 'sub_issues_summary': {'total': Value('int64'), 'completed': Value('int64'), 'percent_completed': Value('int64')}, 'issue_dependencies_summary': {'blocked_by': Value('int64'), 'total_blocked_by': Value('int64'), 'blocking': Value('int64'), 'total_blocking': Value('int64')}, 'pinned_comment': Value('null'), 'is_pull_request': Value('bool'), 'title_length': Value('int64'), 'body_length': Value('int64'), 'num_labels': Value('int64'), 'is_open': Value('bool')}
              because column names don't match

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.

Dataset Card for github-issues-augmented

Dataset Details

Dataset Description

This dataset created and contains GitHub issue data including titles, descriptions, labels, states, and pull request information.

  • Curated by: 20157367, Ogwu
  • License: mit

Dataset Tags

  • github
  • issues
  • data-engineering
  • text-classification
  • nlp
  • machine-learning

Dataset Sources

Uses

This dataset is intended to be used for text-classification, sentiment-analysis and FAISS indexing.

Dataset Structure

Each row represents a single GitHub issue Key fields include:

  • url
  • -repository_url
  • id
  • number
  • title
  • state
  • is_open
  • is_pull_request
  • title_length
  • num_labels

Dataset Creation

Curation Rationale

This dataset was created to satisfy requirements of an assessed task for NMTAFE Data Science and AI.

Source Data

The source data consists of publicly available GitHub issues and pull requests.

Data Collection and Processing

Data was collected using the GitHub REST API and Python requests. The JSON responses were converted into a structured dataset using the Hugging Face Datasets library. Additional derived features were generated, including issue status indicators, text length measurements, and label counts. The resulting dataset was converted into tabular format and uploaded to the Hugging Face Hub.

Compliance and Considerations

Privacy

Dataset contains information obtained from publicly availble GitHub issues. Usernames, issue content, timestamps, and other metadata may be included because they are publicly accessible through the GitHub API. No additional personal information was collected beyond the publicly available source data.

Atribution

Orifinal data sources should be acknowledged when using or redistributing the dataset:

  • GitHub REST API
  • HuggingFace Datasets

Storage

The dataset should be securely stored. Extra care should be taken to ensure the information isn't transformed or engineered in a manner that creates privacy concerns or unintended profiling of individuals.

Bias, Risks, and Limitations

The dataset is sourced from a single open-source software repository and may not represent software projects from different domains, organisations, or programming communities. Issue content may reflect the priorities, terminology, and workflows of the Hugging Face development community. The dataset may contain incomplete, outdated, or subjective information submitted by contributors.

Recommendations

Users should consider the limited scope of the dataset when drawing conclusions or training models. Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Dataset Card Authors

20157367, Ogwu

Dataset Card Contact

20157367@tafe.wa.edu.au

Downloads last month
80