datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wikisqlA large crowd-sourced dataset for developing natural language interfaces for relational databaseswikisql
mlx-community/wikisql
This dataset is processed from salesforce/WikiSQL and is used to demonstrate the fine-tuning function of LLM in the mlx_lm library.
source file form: mlx-examples
WikiSQL_mtebWikiSQL is a dataset comprising 80,654 hand-annotated examples of natural language questions and corresponding SQL queries across 24,241 tables from Wikipedia.
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("embedding-benchmark/MBPP", "queries")
documents = datasets.load_dataset("embedding-benchmark/MBPP", "corpus")
pair_labels = datasets.load_dataset("embedding-benchmark/MBPP", "default")
wikisqlwikisql
Dataset Card for "wikisql"
More Information needed
mm_robut_wikisqlrteb-WikiSQLRetrieval
WikiSQLRetrieval — RTEB open subset, unified schema
A normalised copy of the dataset behind the mteb task WikiSQLRetrieval, one of the 17 open tasks in the
RTEB(beta) retrieval benchmark. Same queries, documents and relevance
judgements as the benchmark evaluates — reshaped into one strict schema shared by all 17.
Source
embedding-benchmark/WikiSQL_mteb @ 4e099ab42dff (the revision pinned in mteb)
Domain · languages
code · eng
Queries / documents / qrels
2,048 /… See the full description on the dataset page: https://huggingface.co/datasets/Hyukkyu/rteb-WikiSQLRetrieval.wikiSQL-kk-datasetwikisql-text2sql
WikiSQL Text-to-SQL (execution-ready)
A cleaned, execution-ready repackaging of WikiSQL
for text-to-SQL fine-tuning and execution-accuracy evaluation. Each example pairs a
natural-language question with a gold SQL query over a single-table schema — and every split
ships a real SQLite database so predicted SQL can be run and compared by result set
(not string-matched).
Splits
Split
Examples
train
55,339
dev
8,263
test
15,519
Columns… See the full description on the dataset page: https://huggingface.co/datasets/mohamed-ahmed-58059/wikisql-text2sql.wikiSQL-ru-datasetfor_text2sql_wikiSQL_korean_by_google_translator_apiWikiSQLWikiSQL is a dataset comprising 80,654 hand-annotated examples of natural language questions and corresponding SQL queries across 24,241 tables from Wikipedia.
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("embedding-benchmark/WikiSQL", "queries")
documents = datasets.load_dataset("embedding-benchmark/WikiSQL", "corpus")
pair_labels = datasets.load_dataset("embedding-benchmark/WikiSQL", "default")
pg-wikiSQL-sql-instructions-80kConverted, cleaned and syntax-checked SQLWiki dataset.
The datapoints containing non latin column names were removed.
Resulting SQL statements were adapted for Postgres syntax and conventions.
Each SQL statement, including CREATE TABLE statements were syntax checked with pgsanity.
Citations
@article{zhongSeq2SQL2017,
author = {Victor Zhong and
Caiming Xiong and
Richard Socher},
title = {Seq2SQL: Generating Structured Queries from Natural… See the full description on the dataset page: https://huggingface.co/datasets/kaxap/pg-wikiSQL-sql-instructions-80k.spider-natsql-wikisql-instruct
Dataset Card for "spider-natsql-wikisql-instruct"
More Information needed
text2sql-wikisql-spider
Dataset Card for "text2sql-wikisql-spider"
More Information needed
wikisql_and_spiderwikisql-processed
Dataset Card for "wikisql-processed"
Based out of wikisql
More Information needed
WikiSQLRetrieval
WikiSQLRetrieval
An MTEB dataset
Massive Text Embedding Benchmark
A code retrieval task based on WikiSQL dataset with natural language questions and corresponding SQL queries. Each query is a natural language question (e.g., 'What is the name of the team that has scored the most goals?'), and the corpus contains SQL query implementations. The task is to retrieve the correct SQL query that answers the natural language question. Queries are natural language questions while the corpus… See the full description on the dataset page: https://huggingface.co/datasets/mteb/WikiSQLRetrieval.wikisql-generate
WikiSQL Dataset (Reformatted for Generative Models)
This is the exact same dataset as WikiSQL: https://huggingface.co/datasets/wikisql, but with the data reformatted to allow direct use with text generation LLMs. The original license and credits for the original dataset remain in place.
Specifically, the changes from standard WikiSQL are:
The table details in WikiSQL were included as dictionaries but tools like LangChain and LlamaIndex build their prompts using a SQL DESCRIBE of… See the full description on the dataset page: https://huggingface.co/datasets/tjaffri/wikisql-generate.finetune_llama_gpt_wikisqlwikisql_tableswikisql
Dataset Card for "wikisql"
More Information needed
wikisql-sharegptwikisql_VALUEA large crowd-sourced dataset for developing natural language interfaces for relational databaseswikisql-reduced-datawikisql-alpaca
Dataset Card for "wikisql-alpaca"
More Information needed
wikisql_codellama_1000
Dataset Card for "wikisql_codellama_1000"
More Information needed
wikisqlA large crowd-sourced dataset for developing natural language interfaces for relational databasesrobut_wikisql_cleaned
robut_wikisql_cleaned
The robut_wikisql__x family of the ElliotVL supervised-fine-tuning pool, after VLM cleaning.
images
137,046
QA turns
849,407
answers rewritten by the cleaning pass
0
QA created by the cleaning pass (new_qa)
not measured for this family
shards
21
How this was cleaned
A vision-language model read each image together with its QA and judged the item. The pass is
not a filter that only removes rows — it rewrites answers… See the full description on the dataset page: https://huggingface.co/datasets/elliot-mllm/robut_wikisql_cleaned.wikisql-adhikari