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TopicVid

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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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TopicVid Dataset

This dataset provides structured metadata, content features, and a heterogeneous graph related to short-video topics and subtopics. It is designed for tasks such as topic analysis, audience interaction modeling, peak prediction, and research on graph neural networks or graph retrieval.

Contents

  • available_dataset_with_subtopic.json — Processed structured raw data of short video content and interaction statistics about topics.
  • comment.npy — Comment features.
  • content.npy — Content features.
  • desc.npy — Description features.
  • heterogeneous_graph.pkl — Heterogeneous graph file.
  • title.npy — Title features.
  • topic.npy — Topic embeddings.
  • video.npy — Video features.

Data Structure

1) available_dataset_with_subtopic.json

This file contains the raw data of short video content and interaction statistics.

Fields:

  • url (string) — Direct link to the video on the platform.
  • desc (string) — Description text of the video content.
  • title (string) — Title of the video post.
  • content (string) — Additional text content; may be empty.
  • user_id (string) — Unique identifier of the publishing user.
  • duration (integer) — Video duration in seconds.
  • platform (string) — Source platform name (e.g., Douyin, Kuaishou).
  • post_create_time (string) — Time of publication in "YYYY-MM-DD HH:MM:SS" format.
  • topic (string) — Main topic associated with the video.
  • subtopic (string) — Numbered subcategory under the main topic.
  • time_frames (dict) — Interaction statistics recorded at different dates.
    • Key: Date in "YYYY-MM-DD" format
    • Value: Dictionary with fields:
      • fans_count — Number of followers
      • like_count — Number of likes
      • view_count — Number of views
      • share_count — Number of shares
      • collect_count — Number of collections
      • comment_count — Number of comments
  • comments (dict) — Collection of user comments.
    • Key: Comment index (string)
    • Value: Dictionary with fields:
      • comment_user_id — Commenting user ID
      • comment_nickname — Commenting user's display name
      • comment_content — Comment text
      • comment_time — Time of comment
      • ip_address — IP location of the commenting user

2) *.npy

Numpy arrays containing preprocessed embeddings or feature vectors.

3) heterogeneous_graph.pkl

A serialized Python object containing:

  • Node types and indices
  • Edge types and lists
  • Labels information is available at link
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