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Dataset

world-signals

by Kosuke OKADA Lilambd/world-signals

One folder per day under data/YYYY-MM-DD/, and the same files copied to latest/. Built every morning (JST) by the EmpireOS world model. Nothing is generated by a model; every row is a measurement from a public source.

Rows8,630
Configurations7
Size6.7 MB
Licensecc-by-4.0
AccessPublicly accessible
Monthly Downloads—

Dataset Card

By Kosuke OKADA, published under cc-by-4.0, revision 2b0d80dde9e0.

World Signals — a daily cross-country snapshot of attention

One folder per day under data/YYYY-MM-DD/, and the same files copied to latest/. Built every morning (JST) by the EmpireOS world model. Nothing is generated by a model; every row is a measurement from a public source.

file what source
search_trends.csv rising searches, 30 countries, with approximate traffic and the headline that drove them Google Trends daily RSS
podcast_charts.csv top-100 podcasts, 30 countries Apple Podcasts marketing RSS
gdelt_events.csv world events of the last hour counted by country x CAMEO root code, with mean Goldstein scale GDELT 2.0 event export
github_new_repos.csv repositories created in the last 7 days with the most stars GitHub search API
hf_trending.csv trending models and datasets Hugging Face Hub API
steam_top.csv most played games by peak concurrent players Steam charts API
package_downloads.csv npm packages by keyword (agent, mcp, llm, scraper, ...) and top PyPI packages with download counts npm registry, hugovk/top-pypi-packages

Countries: JP, US, GB, DE, FR, ES, IT, BR, MX, IN, ID, KR, TW, VN, TH, PH, TR, SA, EG, NG, ZA, KE, PL, NL, SE, AU, CA, AR, CO, CL.

Why this exists

Agents and analysts keep re-scraping the same public endpoints every day. This dataset does it once, keeps the history, and gives it in one flat shape.

Attribution

GDELT data is free for any use with attribution to the GDELT Project. Google Trends, Apple, GitHub, Hugging Face, Steam and npm data are reproduced as published by their public endpoints; check each provider's terms before redistribution. PyPI counts are from hugovk/top-pypi-packages.

Maintained by Lilambd. Questions: [email protected]

Structure

gdelt_events 668 rows

SplitRowsSize
train66837.9 KB
country_fipsstringcameo_rootint64cameo_root_jastringevent_countint64goldstein_meanfloat64observed_atstring

github_new_repos 201 rows

SplitRowsSize
train20152.3 KB
repostringstarsint64forksint64languagestringdescriptionstringtopicsstringurlstringobserved_atstring

hf_trending 401 rows

SplitRowsSize
train40197.7 KB
kindstringrepo_idstringtrending_scorefloat64likesint64downloads_monthint64pipelinestringtagsstringurlstringobserved_atstring

package_downloads 3,951 rows

SplitRowsSize
train3,951603.1 KB
ecosystemstringpackagestringdownloads_weekfloat64downloads_monthfloat64dependentsfloat64descriptionstringkeywordsstringurlstringobserved_atstring

podcast_charts 2,988 rows

SplitRowsSize
train2,988540.6 KB
countrystringrankint64namestringartiststringgenrestringurlstringobserved_atstring

search_trends 321 rows

SplitRowsSize
train32142.4 KB
countrystringtermstringapprox_trafficint64newsstringobserved_atstring

steam_top 100 rows

SplitRowsSize
train10013.4 KB
rankint64appidint64namestringpeak_playersint64genresstringurlstringobserved_atstring

Details

Repository
Lilambd/world-signals
Publisher
Kosuke OKADA
Task category
Not stated by the source
Tags
trends, news, gdelt
Size category
1K<n<10K
Languages
en, ja
Revision
2b0d80dde9e0615de1c179ecaef47a7310b7f911
Last updated
2026-09-22

Files

31 files, 6.7 MB in total.

Data29 files · 6.7 MB
Documentation1 file · 2.6 KB
Repository1 file · 2.5 KB
Every file
FileTypeSizeSHA-256
data/2026-09-22/gdelt_events.csvData22.5 KB—
data/2026-09-22/gdelt_events.jsonData95.9 KB—
data/2026-09-22/github_new_repos.csvData47.4 KB—
data/2026-09-22/github_new_repos.jsonData68.3 KB—
data/2026-09-22/hf_trending.csvData86.7 KB—
data/2026-09-22/hf_trending.jsonData137.7 KB—
data/2026-09-22/package_downloads.csvData483.2 KB—
data/2026-09-22/package_downloads.jsonData1.1 MB—
data/2026-09-22/podcast_charts.csvData476.9 KB—
data/2026-09-22/podcast_charts.jsonData737.5 KB—
data/2026-09-22/search_trends.csvData37.9 KB—
data/2026-09-22/search_trends.jsonData61.4 KB—
data/2026-09-22/steam_top.csvData11.7 KB—
data/2026-09-22/steam_top.jsonData20.6 KB—
latest/gdelt_events.csvData22.5 KB—
latest/gdelt_events.jsonData95.9 KB—
latest/github_new_repos.csvData47.4 KB—
latest/github_new_repos.jsonData68.3 KB—
latest/hf_trending.csvData86.7 KB—
latest/hf_trending.jsonData137.7 KB—
latest/index.jsonData251 B—
latest/package_downloads.csvData483.2 KB—
latest/package_downloads.jsonData1.1 MB—
latest/podcast_charts.csvData476.9 KB—
latest/podcast_charts.jsonData737.5 KB—
latest/search_trends.csvData37.9 KB—
latest/search_trends.jsonData61.4 KB—
latest/steam_top.csvData11.7 KB—
latest/steam_top.jsonData20.6 KB—
README.mdDocumentation2.6 KB—
.gitattributesRepository2.5 KB—

License and Download

License
cc-by-4.0
Access
No access gate
Download from Kosuke OKADA

Released by Kosuke OKADA through its official repository on Hugging Face. Read the license.