dbbench
Datasets
All datasets matching “dbbench”dbbench-distilled-qwen3-14b-multiturndbbench_cot_enriched_for_agentbenchopenalex_dbbench_synth_v5
OpenAlex-Inspired Synthetic SQL Agent Dataset
(MySQL/MariaDB, Schema-Aware, Teacher-Guided)
This dataset contains fully synthetic multi-turn SQL agent trajectories
generated over an OpenAlex-inspired relational schema.
It is designed to improve SQL-agent performance in structured,
tool-driven environments such as SQL-agent benchmarks
(e.g., AgentBench-style database tasks).
✅ No real OpenAlex data is included.
All schema definitions and rows are programmatically generated synthetic… See the full description on the dataset page: https://huggingface.co/datasets/tussiiiii/openalex_dbbench_synth_v5.dbbench-spider-3500
DBBench-Spider-3500
AgentBench DBBench 評価ハーネスと完全互換のフォーマットで生成した SFT 訓練データセット。
Spider データセット (Yale NLP) の 3,500 問を GPT-OSS-120B (Groq) に解かせ、正解したトラジェクトリ 1,697 件 を収録。
混合利用を想定: 本データセットは mark-22/dbbench_cleaned_for_agentbench（1,200 件）と混合し、合計 2,897 件 の SFT データとして使用することを想定しています。
Dataset Summary
Metric
Value
Total trajectories
1,697
Difficulty: Medium
1,406
Difficulty: Hard
291
Avg messages per item
13.2
Unique databases (db_id)
159
Source questions3… See the full description on the dataset page: https://huggingface.co/datasets/mark-22/dbbench-spider-3500.dbbench-mysql-synth
DBBench-Style MySQL Synthetic SFT Dataset (English)
This directory contains a DBBench-style (MySQL / English) synthetic dataset for SFT.
It is designed for:
SFT training in a DBBench-like interaction format
Auditing data quality (SQL / answers / difficulty / distribution)
Reproducing and debugging queries on MySQL
Future DAgger / hard example mining
This dataset is synthetic and not the official DBBench data. It is meant to teach DBBench-style skills (SQL generation, result… See the full description on the dataset page: https://huggingface.co/datasets/acomagu/dbbench-mysql-synth.dbbench_sft_dataset_react
DBBench SFT Dataset (ReAct Format — AgentBench Compatible)
Overview
Synthetic SFT dataset for DBBench (AgentBench, ICLR 2024).
All tables, data, and queries are independently generated to avoid test data leakage.
Format
ReAct text format matching the AgentBench DBBench evaluation protocol:
[user] System prompt (Action: Operation / Action: Answer instructions)
[agent] Ok.
[user] Question + table name + column headers
[agent] Thinking + Action: Operation +… See the full description on the dataset page: https://huggingface.co/datasets/u-10bei/dbbench_sft_dataset_react.