datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bird-critic-1.0-postgresql
Update 2025-06-08
We release the full version of BIRD-Critic-PG, a dataset containing 530 high-quality user issues focused on real-world PostgreSQL database applications. The schema file is include in the code repository https://github.com/bird-bench/BIRD-CRITIC-1/blob/main/baseline/data/post_schema.jsonl
BIRD-CRITIC-1.0-PG
BIRD-Critic is the first SQL debugging benchmark designed to answer a critical question:
Can large language models (LLMs) fix user issues in… See the full description on the dataset page: https://huggingface.co/datasets/birdsql/bird-critic-1.0-postgresql.zsql-postgres-dpo
zsql-postgres-dpo
This is a dataset for training machine learning models to convert natural
English language text into Postgres dialect SQL queries.
This dataset comprises 200,000 DPO pairs curated to support the rapid
development of text-to-SQL generation models. The uniqueness of this dataset
lies in its optimization process. The "chosen" field within each data pair
contains SQL queries that have been canonicalized, optimized, and which are
chosen from the candidate set which… See the full description on the dataset page: https://huggingface.co/datasets/zerolink/zsql-postgres-dpo.postgresql-llm
postgresql-llm
A pure PostgreSQL dataset for training and evaluating LLMs on PostgreSQL SQL and PL/pgSQL. Every row is a (question, schema, SQL) triplet with rich metadata for filtering and analysis.
Dataset Summary
postgresql-llm is a pure PostgreSQL dataset: SQL and PL/pgSQL only, with metadata for difficulty, category, and source.
Metric
Value
Total rows
211,539
PostgreSQL-specific rows
11,998 (5.7%)
Schema fill rate
82.2%
Explanation fill rate
17.8%… See the full description on the dataset page: https://huggingface.co/datasets/neurondb/postgresql-llm.emgena_postgres_pgvector_hnsw_tuner_mcp_teaser
🚀 Database - PostgreSQL & PgVector HNSW Index & Buffer Pool Tuner (Evaluation Teaser)
⚡ Official Free Evaluation Teaser (50 Verified Scenarios + Executable MCP Server)🏆 Get the Full Production Package & Commercial EULA on Gumroad:👉 Purchase Full Package on Gumroad🏷️ Use coupon code LAUNCH20 for €20 off at checkout!
🌟 Domain Overview & Features
EXPLAIN (BUFFERS) deep profiling, HNSW M/ef_construction index tuning, and shared buffers cache thrashing… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_postgres_pgvector_hnsw_tuner_mcp_teaser.emgena_postgres_pgbouncer_connection_exhaustion_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_postgres_pgbouncer_connection_exhaustion_teaser.postgresql_vacuum_freeze_txid_wraparound_triage_teaser
🚀 DataOps - PostgreSQL Vacuum Freeze & TXID Wraparound Panic Triage (Evaluation Teaser)
⚡ Official Free Evaluation Teaser (50 Verified Scenarios)🏆 Get the Full Production Package & Commercial EULA on Gumroad:👉 Purchase Full Package on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout!
🌟 Domain Overview & Features
Emergency single-user vacuum recovery, multixact freeze starvation resolution, and autovacuum cost limit tuning.
100% AST Syntactic… See the full description on the dataset page: https://huggingface.co/datasets/emgena/postgresql_vacuum_freeze_txid_wraparound_triage_teaser.text-to-postgresql
Text-to-PostgreSQL
A schema-aware text-to-SQL dataset that pairs natural-language questions with
their corresponding PostgreSQL queries and the CREATE TABLE schema needed to
answer them. It is designed for fine-tuning small/medium language models to turn
plain English questions into executable SQL.
This dataset was used to train omeryentur/phi-3-sql
and related text-to-SQL models on this profile.
Dataset structure
Field
Type
Description
question
string… See the full description on the dataset page: https://huggingface.co/datasets/omeryentur/text-to-postgresql.postgres-extension-postgresql-version-compatibility
PostgreSQL extension compatibility with PostgreSQL major versions
Canonical, always-current version: https://referencesource.org/postgres-extension-postgresql-version-compatibility/
Machine-readable: https://referencesource.org/postgres-extension-postgresql-version-compatibility/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-31
Stale after: 2026-12-29 (past this date, prefer the canonical copy —
it re-verifies on a cadence this snapshot does not)… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/postgres-extension-postgresql-version-compatibility.text2sql-oracle-postgres
Oracle / PostgreSQL text-to-SQL
Instruction data for fine-tuning google/gemma-3-270m-it (or any chat model) to emit a single dialect-correct SQL statement.
804 rows, 402 Oracle / 402 PostgreSQL
7 schemas: hr, sales, banking, inventory, tickets, university, logistics
Splits: 684 / 60 / 60 (grouped so paraphrases of the same SQL stay in one split)
Load
from datasets import load_dataset
ds = load_dataset("chabab/text2sql-oracle-postgres")
Record… See the full description on the dataset page: https://huggingface.co/datasets/chabab/text2sql-oracle-postgres.postgres-incident-diagnosis
Postgres Incident Diagnosis Benchmark
Real telemetry from a Postgres 16 database in six states — one healthy, five
broken — paired with the ground-truth root cause of each.
The task: given the stats views, say what is wrong. Or say that nothing is.
Why this exists
There is no standard benchmark for database incident diagnosis, so everyone
building an AI SRE tool invents their own eval. This is a small, reproducible
one with a specific property: on four of the five… See the full description on the dataset page: https://huggingface.co/datasets/yashMaini/postgres-incident-diagnosis.oracle-to-postgresql-directoracle-to-postgresql-2KBIRD-train-postgresqlKubernets_LinuxCommands_KVM_Postgresqloracle-to-postgres-all-variantsBIRD-reasoning-postgresqloracle-to-postgresqlpostgres_relevant_questionsoracle-postgresql-v2Sqlserver-to-PostgreSQL