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] | [
"US"
] | 2026-04-23 23:45:41 | 2026-04-23 23:45:41 | 2026-04-23 23:49:23 | 2026-04-23 23:49:30 | null | null | 2026-04-23 23:58:03 | [
{
"label": "campaign_objective_conversion",
"value": 3
}
] | null | null | null | null | null | null | null | null | 0 | Medical Services | Conversions | [
"Conversions"
] | https://ads.tiktok.com/business/creativecenter/topads/7324670365605593089/pc/en?countryCode=US&period=180 | |||
7515104734100979720 | v10033g50000d22mfqfog65jf5dbcet0 | Level up your business. | Level up your business. | [
"level up",
"your business"
] | Shopify | label_24112000000 | campaign_objective_lead_generation | 0 | [] | https://www.shopify.com/uk/start?utm_source=tiktok&utm_medium=cpm&utm_campaign=__CAMPAIGN_NAME__&utm_content=__CID_NAME__&utm_term=paid-social | TikTok Ads Manager | 8.79 | 720 | 1,280 | 0.31 | 2 | 1,168,491 | 3,463 | 5,764 | [
1.864054100919022,
45.647650424830935,
41.286630830587825,
18.406450494191088,
14.791052540315588,
12.848968267730191,
15.554014218831282,
13.369169412172708,
15.059823131610889,
100
] | [
1.7391304347826086,
34.78260869565217,
35.652173913043484,
25.217391304347824,
30.434782608695656,
31.304347826086953,
48.69565217391305,
48.69565217391305,
63.47826086956522,
100
] | [
19.248109346291134,
100,
48.18394718310809,
13.073772592738486,
7.62008315368863,
4.927975739196361,
4.492241777039113,
3.22645485229563,
3.0750946338620597,
18.414548927662764
] | [
27.596596951435657,
100,
54.87415809996455,
23.218716767103864,
20.737327188940093,
15.54413328606877,
18.39773130095711,
15.349166962070187,
17.050691244239633,
24.12265154200638
] | [
100,
21.180799500454334,
11.28225864262012,
6.8681966422051595,
4.981420248259108,
3.7084274506580286,
2.792722042366823,
2.332635860498096,
1.974292918860681,
1.780362067655913
] | [
"IT",
"ES",
"FR",
"DE",
"CA",
"US",
"AU",
"NZ",
"TR",
"UA",
"JP",
"BE",
"LT",
"CY",
"SK",
"CZ",
"GR",
"DK",
"SE",
"HR",
"NO",
"AT",
"NL",
"EE",
"BR",
"PL",
"CH",
"BY",
"RS",
"BG",
"HU",
"SI",
"FI",
"RO",
"PT",
"LV",
"NG",
"ZA",
"DZ",
"EG"... | 2026-04-23 23:45:41 | 2026-04-28 00:57:10 | 2026-04-23 23:49:22 | 2026-04-23 23:49:30 | null | null | 2026-04-23 23:58:13 | [
{
"label": "campaign_objective_lead_generation",
"value": 8
}
] | null | null | null | null | null | null | null | null | 0 | Marketing & Advertising | Lead Generation | [
"Lead Generation"
] | https://ads.tiktok.com/business/creativecenter/topads/7515104734100979720/pc/en?countryCode=US&period=180 |
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/tiktok-ad-rl-preview", 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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