| --- |
| license: other |
| language: |
| - en |
| tags: |
| - seo |
| - content-performance |
| - data-warehouse |
| - tabular |
| - education |
| - flyrank-internship |
| pretty_name: FlyRank Internship — Warehouse Star Schema (Pseudonymized, Gated) |
| size_categories: |
| - 10M<n<100M |
| extra_gated_prompt: >- |
| 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). |
| extra_gated_fields: |
| Name: text |
| Email: text |
| Affiliation or cohort: text |
| I agree to the FlyRank data-use terms: checkbox |
| configs: |
| - config_name: dim_clients |
| data_files: dim_clients.parquet |
| - config_name: dim_content |
| data_files: dim_content.parquet |
| - config_name: fact_content_daily_performance |
| data_files: fact_content_daily_performance/**/*.parquet |
| - config_name: fact_content_query_90d |
| data_files: fact_content_query_90d.parquet |
| --- |
| |
| # 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 |
|
|
| ```python |
| 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): |
|
|
| ```python |
| 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. |
|
|
