Datasets:

smilegeng
/

tiktok_trending_hashtags_music

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/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 304, in _scan_metadata
                  from tsfile.constants import TIME_COLUMN, ColumnCategory
              ModuleNotFoundError: No module named 'tsfile'
              
              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 66, 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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TikTok Trending Hashtags and Music (2024 - 2025) - TsFile

This repository contains a TsFile conversion of lingbow/tiktok-trending-hashtags-music.

The source dataset contains the top 100 daily trending hashtags and music records from TikTok Creative Center, covering 2024-05-23 to 2025-07-09. It includes 13,399 unique hashtags and 11,157 unique songs.

Source: https://ads.tiktok.com/business/creativecenter/inspiration/popular/hashtag/pc/en

Repository Layout

README.md
data/
  trending_hashtags.tsfile
  trending_music.tsfile

Source Tables

Config	Source file	Converted file	Unit of observation	Rows	Columns
`trending_hashtags`	`trending_hashtags.parquet`	`data/trending_hashtags.tsfile`	one row per date, trend window, and hashtag rank	107,698	14
`trending_music`	`trending_music.parquet`	`data/trending_music.tsfile`	one row per date, trend window, and music rank	104,886	14

The tables cover top-100 rankings across 7-day, 30-day, and 120-day trend windows.

TsFile Mapping

Both TsFile files use the same TAG columns:

country_code
window_id, derived from window_days as window_7d, window_30d, or window_120d
rank_id, derived from rank as rank_001 ... rank_100

Time mapping:

Source date is parsed as UTC midnight.
TsFile Time = date at 00:00:00 UTC in milliseconds.
Redundant source columns date, window_days, and rank are not retained as fields because Time, window_id, and rank_id already encode the same information.

This means each TsFile device represents a country/window/rank slot over time. Using ranking slots as TAGs preserves every source row, including rare cases where the same hashtag or song appears more than once on the same date within a trend window.

Converted Fields

`trending_hashtags.tsfile`

Fields include hashtag_id, hashtag_name, rank_diff, rank_diff_type, rank_diff_label, publish_count, video_views, industry_id, industry, and is_promoted.

`trending_music.tsfile`

Fields include song_id, clip_id, music_title, music_author, duration, rank_diff, rank_diff_type, rank_diff_label, is_commercial_music_library, and is_promoted.

No source rows are dropped. String nulls are represented as empty strings. rank_diff nulls are preserved as null numeric values.

Source License

The source dataset declares license cc-by-nc-4.0.

Citation

Please cite the original dataset:

@dataset{tiktok_trending_hashtags_music,
  author = {lingbow},
  title = {TikTok Trending Hashtags and Music (2024 - 2025)},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/lingbow/tiktok-trending-hashtags-music}
}

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