---
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

```python
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).