Datasets:

liangyuch
/

ttcc-smoke-100

license: other
license_name: tiktok-creative-center-research-only
license_link: LICENSE
language:
  - en
pretty_name: TikTok Creative Center — Top Ads (Smoke Set)
size_categories:
  - n<1K
task_categories:
  - video-classification
  - feature-extraction
tags:
  - tiktok
  - ads
  - creative-engagement
  - video
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

TikTok Creative Center — Top Ads (Smoke Set)

100-ad smoke set scraped from the TikTok Creative Center Top Ads surface (US, period=180, sort=for_you). Used to validate the v2 creative-centric crawler (tiktok-ad-rl repo, tag v2.0.0).

Schema

One row per ad_id. 38 columns including:

identity: ad_id, vid, ad_title, brand_name, industry_key, objective_key
assets: video_local_path (HF Video), cover_local_path (HF Image)
engagement (creative-global): ctr_global (percentile rank, lower=better), cost_bucket (0=Low, 1=Med, 2=High), like_cnt, comments_cnt, shares_cnt
per-second curves (1 Hz, length = ceil(duration)+1): ctr_curve, cvr_curve, clicks_curve, conversion_curve, retention_curve
detail metadata: keyword_list, pattern_label, landing_page, countries_delivered, voice_over

Full schema and gotchas: see data/SCHEMA.md in the source repo.

Usage

from datasets import load_dataset
ds = load_dataset("liangyuch/ttcc-smoke-100", split="train")
row = ds[0]
row["cover_local_path"]   # PIL.Image
row["video_local_path"]   # decord Video
row["ctr_curve"]          # list[float], 1 Hz over playback seconds

Provenance and intended use

Source: ads.tiktok.com/business/creativecenter (publicly browsable).
Scraped via Playwright route-interception (tiktok-ad-rl crawler, tag v2.0.0).
Research-use only. Per TikTok's general Terms of Service, automated collection of platform data is restricted; this set is shared as a private, small-scale verification artifact for an academic crawler. Not for commercial use, redistribution, or model training intended for production.
Some videos may be Spark Ads (creator usernames burned-in); advertiser IP belongs to the original advertisers.

Known caveats (read before analysis)

ctr_global is a percentile rank, not a click-through rate. Lower = better.
cost_bucket is an ordinal (0/1/2), ~85% are High in top-ads.
Curves are per playback second, not calendar time.
caption field is currently always NULL — ad_title carries the ad copy.
Videos can be partially watermarked (Spark Ads).