datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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.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.