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7575964496545431559 | v10033g50000d530rl7og65vslv572p0 | Dưỡng dài mi Esunya 99k | Dưỡng dài mi Esunya 99k | [] | label_14103000000 | campaign_objective_lead_generation | [
{
"label": "campaign_objective_lead_generation",
"value": 8
}
] | 0 | [] | https://www.myphambeautyclean.com/duongmi?utm_source=tiktok&utm_medium=paid&utm_id=__CAMPAIGN_ID__&utm_campaign=__CAMPAIGN_NAME__ | TikTok Ads Manager | 61.719 | 720 | 1,280 | 0.1 | 2 | 1,354 | 74 | 38 | {
"comment": 74,
"forward": 38,
"like": 1354
} | 99 | 0 | 0 | null | 0 | 1 | US | [
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] | 2026-04-30 21:38:29 | 2026-05-01 04:17:34 | 2026-04-30 21:40:12 | 2026-04-30 21:51:25 | null | null | 2026-04-30 22:27:25 | null | 0 | Skincare | Lead Generation | [
"Lead Generation"
] | https://ads.tiktok.com/business/creativecenter/topads/7575964496545431559/pc/en?countryCode=US&period=180 | val | |||
7539713240180719624 | v10033g50000d2h74dvog65sovomk56g | Create standout graphics with Photoshop and Illustrator in the Creative Cloud Pro plan. | Create standout graphics with Photoshop and Illustrator in the Creative Cloud Pro plan. | [] | adobegencreate | label_23125000000 | campaign_objective_lead_generation | [
{
"label": "campaign_objective_lead_generation",
"value": 8
},
{
"label": "campaign_objective_traffic",
"value": 1
}
] | 0 | [] | https://www.adobe.com/vn_en/creativecloud/plans.html?plan=edu&sdid=3NQZ9Z75&mv=social&mv2=paidsoc | TikTok Ads Manager | 15.019 | 576 | 1,024 | 0.37 | 2 | 80,646 | 503 | 480 | {
"comment": 340,
"forward": 264,
"like": 46576
} | 99 | 0 | 0 | null | 0 | 1 | US | [
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0.949... | [
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] | 2026-04-30 21:38:29 | 2026-05-01 04:42:27 | 2026-04-30 21:40:09 | 2026-04-30 21:51:24 | null | null | 2026-05-01 04:51:14 | null | 0 | Games & Utility Software | Lead Generation | [
"Lead Generation",
"Traffic"
] | https://ads.tiktok.com/business/creativecenter/topads/7539713240180719624/pc/en?countryCode=US&period=180 | test | ||
7483299227888943121 | v09033g40000cvd08r7og65hhn5c14g0 | Try Promote to grow more followers and views! | Try Promote to grow more followers and views! | [
"grow your tiktok fast",
"go viral today",
"more followers",
"try promote"
] | TikTok_Promote | label_24112000000 | campaign_objective_conversion | [
{
"label": "campaign_objective_conversion",
"value": 3
}
] | 0 | [] | https://www.tiktok.com/promote/web/main?utm_source=tiktok&utm_medium=paid&utm_id=__CAMPAIGN_ID__&utm_campaign=__CAMPAIGN_NAME__ | Others | 28.034 | 720 | 1,280 | 0.22 | 2 | 517,978 | 6,080 | 15,960 | {
"comment": 3137,
"forward": 6467,
"like": 201889
} | 99 | 0 | 1 | null | 0 | 114 | US | [
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1.971400... | [
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"MY",
"US",
"AU"
] | 2026-04-30 21:38:29 | 2026-05-01 04:42:28 | 2026-04-30 21:40:13 | 2026-04-30 21:51:24 | null | null | 2026-05-01 04:51:59 | null | 0 | Marketing & Advertising | Conversions | [
"Conversions"
] | https://ads.tiktok.com/business/creativecenter/topads/7483299227888943121/pc/en?countryCode=US&period=180 | val |
End of preview. Expand in Data Studio
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. ~42 columns including:
- identity:
ad_id,vid,ad_title(short headline),brand_name,industry_key(+industry_namederived),objective_key(+objective_namederived) - assets:
video_local_path(HFVideo),cover_local_path(HFImage) - detail metadata:
caption(full on-screen ad copy from baseDetail.adTitle),objectives_detail(list of{label, value}— multi-objective ads),objectives_named(derived human labels),keyword_list,pattern_label,landing_page,countries_delivered,voice_over - 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
Full schema and gotchas: see data/SCHEMA.md in the source repo.
Usage
from datasets import load_dataset
ds = load_dataset("liangyuch/ttcc-v0_1_0", 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-rlcrawler, 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_globalis a percentile rank, not a click-through rate. Lower = better.cost_bucketis an ordinal (0/1/2), ~85% are High in top-ads.- Curves are per playback second, not calendar time. Values are TikTok's full-precision floats (the web UI rounds for display only).
ad_title(short headline) ≠caption(full on-screen copy). Both columns are present and meaningful.objective_keyreflects the slice filter that surfaced the ad; the ad's full objective set is inobjectives_detail(often multi-valued).- Some older ad_ids may have been delisted by TikTok after our crawl; those
rows have populated curves/engagement but
caption/objectives_detailmay be NULL because the detail page no longer resolves. - Videos can be partially watermarked (Spark Ads).
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