Datasets:

rasinmuhammed
/

misata-edtech-practice

license: mit
pretty_name: Misata EdTech Practice Evalpack (declared learning curve)
tags:
  - synthetic
  - text-to-sql
  - evaluation
  - data-agents
  - tabular
  - sql
task_categories:
  - table-question-answering
configs:
  - config_name: students
    data_files: tables/students.csv
  - config_name: practice_attempts
    data_files: tables/practice_attempts.csv

Misata EdTech Practice Evalpack (declared learning curve)

An evalpack: an evaluation database generated from the answer key, not annotated after the fact. A VLDB 2026 audit found 52.8% of BIRD Mini-Dev answer keys wrong because benchmarks annotate answers onto existing databases; this dataset inverts the order. The declared properties (curves, shares, identities) are the specification, the database is generated to satisfy them exactly, and every shipped question was re-verified by executing its gold SQL against these exact files with DuckDB, an engine that shares no code with the generator.

What is in it

Tables: students (600 rows), practice_attempts (15,000 rows).

A practice log where the monthly correct rate climbs 55% to 68% by declaration and total practice time per month is declared and exact. Every attempt belongs to a student who exists and happens after that student signed up. 17 questions ship; 4 candidates whose rates were unachievable at the generated row counts were dropped by the verification gate rather than shipped wrong (that refusal is the point).

Files

tables/*.csv: the database
questions.jsonl: one verified question per line (natural language, gold SQL, expected answer, tags)
certificate.json: per-question DuckDB verification plus FK proof
manifest.json: spec hash, seed, library versions, dropped candidates
verify.py: standalone re-verification (needs only pip install duckdb)
schema.misata.yaml: the full declaration; regenerate or rotate the pack from it

Re-verify in thirty seconds

pip install duckdb
python verify.py

Rotate the environment without touching the answer key

pip install misata
misata evalpack --config schema.misata.yaml -o rotated_pack --seed 7

A new seed replaces the rows; the declared answers stay the answers, so agents cannot memorize the environment. Same version + same schema + same seed reproduces these bytes exactly.

Provenance

No real data: fully declaration-generated, offline, deterministic (provenance statement). Generated with misata (MIT). Where the approach fails is documented in LIMITATIONS.md.