datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
omnimcp_sql_postgres_pro_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/omnimcp_sql_postgres_pro_teaser.omnimcp_enterprise_postgres_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/omnimcp_enterprise_postgres_teaser.EHRSQL_PostgreSQL_data
EHRSQL PostgreSQL Artifacts
This dataset repository hosts database artifacts generated for the companion
GitHub repository:
https://github.com/Jensen-JinhuiLiu/EHRSQL_PostgreSQL
Files
eicu.sqlite: original benchmark SQLite database artifact used for eICU.
mimic_iii.sqlite: original benchmark SQLite database artifact used for MIMIC-III.
postgres_import/eicu/csv/: CSV exports for loading the eICU PostgreSQL database.
postgres_import/mimic_iii/csv/: CSV exports for… See the full description on the dataset page: https://huggingface.co/datasets/JimHue/EHRSQL_PostgreSQL_data.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.
