---
language:
- en
arxiv:
- 2412.18702
- 2406.00583
pretty_name: CMDBench-NBA
task_categories:
- text2text-generation
- other
modalities:
- text
- tabular
- graph
size_categories:
- 1B<n<10B
license: cc-by-sa-4.0
---

# cmdbench-nba

CMDBench-NBA is a multimodal NBA datalake that consists of a Neo4j knowledge graph, a PostgreSQL relational database, and a MongoDB document collection. It is originally proposed in the [CMDBench](https://arxiv.org/abs/2406.00583) paper but has been updated with higher quality data (up to Feburary 2025).

Contact: yanlin@megagon.ai

## Deploying the databases

First, clone the repository with git lfs installed.

```bash
# Make sure git-lfs is installed (https://git-lfs.com)
git lfs install

git clone https://huggingface.co/datasets/megagonlabs/cmdbench-nba
```

Next, run the following commands under the root directory of the repository.

### Starting cmdbench-nba-postgres

```bash
docker run -d \
  --name cmdbench-nba-postgres \
  -e POSTGRES_DB=nba_db \
  -e POSTGRES_HOST_AUTH_METHOD=trust \
  -p 22111:5432 \
  -v "$(pwd)/postgres/nba_db.sql:/docker-entrypoint-initdb.d/nba_db.sql" \
  postgres
```

### Starting cmdbench-nba-neo4j

```bash
docker run -d \
  --name cmdbench-nba-neo4j \
  -p 22112:7687 \
  -p 22115:7474 \
  -v "$(pwd)/neo4j/nba_simplekg.json:/init/graph.json" \
  -e NEO4J_AUTH=neo4j/cmdbench \
  -e NEO4J_PLUGINS='["apoc", "graph-data-science"]' \
  megagonlabs/neo4j-with-loader:2.4
```

### Starting cmdbench-nba-mongo

```bash
docker run -d \
  --name cmdbench-nba-mongo \
  -p 22113:27017 \
  -v "$(pwd)/mongo/nba-datalake.wiki-documents.json:/init/nba-datalake.wiki-documents.json" \
  -v "$(pwd)/mongo/init-nba-mongo.sh:/docker-entrypoint-initdb.d/init-nba-mongo.sh" \
  mongo mongod --noauth
```

## Connection Info
| Database | Port | Username | Password | Data Location |
|----------|------|----------|----------|---------------|
| Postgres | 22111 | postgres | - | db=nba_db, schema=public |
| Neo4j | 22112 (bolt) / 22115 (neo4j browser) | neo4j | cmdbench | db=neo4j |
| MongoDB | 22113 | - | - | db=nba-datalake, collection=wiki-documents |


## Citation

If you use this dataset in your work, please cite the following papers:

```bibtex
@article{feng2024cypherbench,
  title={CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era},
  author={Feng, Yanlin and Papicchio, Simone and Rahman, Sajjadur},
  journal={arXiv preprint arXiv:2412.18702},
  year={2024}
}
```

```bibtex
@inproceedings{feng2024cmdbench,
  title={CMDBench: A Benchmark for Coarse-to-fine Multimodal Data Discovery in Compound AI Systems},
  author={Feng, Yanlin and Rahman, Sajjadur and Feng, Aaron and Chen, Vincent and Kandogan, Eser},
  booktitle={Proceedings of the Conference on Governance, Understanding and Integration of Data for Effective and Responsible AI},
  pages={16--25},
  year={2024}
}
```

## Attribution

This dataset is built upon the following data sources:

- [Kaggle NBA DB](https://www.kaggle.com/datasets/wyattowalsh/basketball) (license: [CC-BY-SA-4.0](https://creativecommons.org/licenses/by-sa/4.0/))
- [Wikipedia](https://en.wikipedia.org/) (license: [CC-BY-SA-3.0](https://creativecommons.org/licenses/by-sa/3.0/))
- [Wikidata](https://www.wikidata.org/) (license: [CC0](https://creativecommons.org/publicdomain/zero/1.0/))


## Disclosure

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