metadata
license: other
language:
- en
tags:
- seo
- content-performance
- tabular
- education
- flyrank-internship
pretty_name: FlyRank Internship — Lane Datasets (Pseudonymized, Gated)
size_categories:
- 1M<n<10M
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: ranking_lifecycle
data_files: default_lanes/ranking_lifecycle.parquet
- config_name: decline_recovery
data_files: default_lanes/decline_recovery.parquet
- config_name: engagement_fix
data_files: default_lanes/engagement_fix.parquet
- config_name: ai_opportunity
data_files: default_lanes/ai_opportunity.parquet
- config_name: cannibalization_restricted
data_files: restricted_lanes/cannibalization_restricted.parquet
- config_name: semantic_clustering_restricted
data_files: restricted_lanes/semantic_clustering_restricted.parquet
FlyRank Internship — Lane Datasets (Pseudonymized)
Six task-focused, pseudonymized lanes derived from the FlyRank warehouse. Salted/namespaced hashed keys join across lanes and the warehouse release.
Provenance: these are fixed example cuts prepared in June 2026 (90-day windows as of their build date). They exist to show the shape of lane work — the warehouse release (v2 full history) is the source of truth, and capstone-grade features should be engineered from it directly (see starter notebook 03).
Default lanes (intern-safe)
| Lane | Rows | Typical task |
|---|---|---|
ranking_lifecycle |
205,749 | ranking lifecycle, archetypes, baseline scoring |
decline_recovery |
56,253 | decline/recovery classification (define a forward label) |
engagement_fix |
33,202 | CTR / engagement opportunity analysis |
ai_opportunity |
11,571 | AI-referral pattern analysis (positive-only — not a clean binary classifier) |
Restricted-origin lanes (raw query/URL origin → keep separate)
| Lane | Rows | Typical task |
|---|---|---|
cannibalization_restricted |
712,454 | cannibalization severity / action ranking |
semantic_clustering_restricted |
350,707 | structured clustering / archetypes |
Rules
Load a lane with datasets:
from datasets import load_dataset
ds = load_dataset("FlyRank/internship-lanes", "ranking_lifecycle")
Product flags / scores (health_score, trend_*, recommended_action, action_type) are leakage-risk context, not default features. Define your own labels, features, splits, and a leakage-safe prediction point. Public outputs must be anonymized/aggregate only.