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By requesting access you agree to the FlyRank Internship Data Use Terms: anonymized research and education use only; no attempt to re-identify clients, domains, queries, keywords, or content; no redistribution of the raw data; and no client-identifying data in any public output (case study, repo, chart, or demo).
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FlyRank Internship — Pseudonymized Warehouse Release (v20260703)
The open-ended, warehouse-shaped dataset (~81.8M rows; daily fact
78,835,655 rows) for advanced capstone work. Star schema with salted, namespaced,
fingerprinted hash keys. Built from warehouse v2 full history (frozen snapshot,
export date 2026-07-03): an unbalanced panel — per-client history depth differs;
see dim_clients.gsc_data_start / ga4_data_start.
| Table | Rows | Grain |
|---|---|---|
dim_clients |
104 | one row per pseudonymized client |
dim_content |
519,606 | one row per pseudonymized content item |
fact_content_daily_performance |
78,835,655 | one row per report date, pseudonymized client, and pseudonymized content item |
fact_content_query_90d |
2,414,248 | one row per pseudonymized client, content item, and query hash over the fixed 90-day window |
fact_content_daily_performance is partitioned by month=YYYY-MM. The _sample
file is the latest full month — start there.
fact_content_query_90d is query-level: salted query hashes over a fixed 90-day
window with last-30/prev-30 sub-windows; the rare tail (< 10 impressions) and
Google-anonymized impressions are preserved as per-content aggregate shares.
Load
from datasets import load_dataset
ds = load_dataset("FlyRank/internship-warehouse", "fact_content_daily_performance", streaming=True, split="train")
Or DuckDB (works in Colab; no full download needed):
import duckdb
con = duckdb.connect()
con.execute("CREATE SECRET (TYPE huggingface, TOKEN 'hf_your_read_token')") # accept the gate in-browser first, then paste a READ token
rel = "hf://datasets/FlyRank/internship-warehouse"
con.sql(f"SELECT COUNT(*) FROM read_parquet('{rel}/fact_content_daily_performance/**/*.parquet')")
Terms
Anonymized research and education use only. No re-identification attempts, no redistribution, no client-identifying output. Hash keys are salted and namespaced; the salt never ships.
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