All datasets / mteb
mteb/PubChemWikiPairClassification
The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.
- Declared licence
- cc-by-nc-sa-4.0, from the tagEvidence: README.md at b5e03cf
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at b5e03cf
- Declared sources
- 1
- Access gated on Hugging Face
- No
Sources listed in the card metadata
- BASF-AI/PubChemWikiMultilingualPCno licence statedUnclearEvidence: README.md at 3412b20
Tasks
Citation text from the card
@article{kasmaee2024chemteb,
author = {Kasmaee, Ali Shiraee and Khodadad, Mohammad and Saloot, Mohammad Arshi and Sherck, Nick and Dokas, Stephen and Mahyar, Hamidreza and Samiee, Soheila},
journal = {arXiv preprint arXiv:2412.00532},
title = {ChemTEB: Chemical Text Embedding Benchmark, an Overview of Embedding Models Performance \\& Efficiency on a Specific Domain},
year = {2024},
}
@article{kim2023pubchem,
author = {Kim, Sunghwan and Chen, Jie and Cheng, Tiejun and Gindulyte, Asta and He, Jia and He, Siqian and Li, Qingliang and Shoemaker, Benjamin A and Thiessen, Paul A and Yu, Bo and others},
journal = {Nucleic acids research},
number = {D1},
pages = {D1373--D1380},
publisher = {Oxford University Press},
title = {PubChem 2023 update},
volume = {51},
year = {2023},
}
@article{enevoldsen2025mmtebmassivemultilingualtext,
title={MMTEB: Massive Multilingual Text Embedding Benchmark},
author={Kenneth Enevoldsen and Isaac Chung and Imene Kerboua and Márton Kardos and Ashwin Mathur and David Stap and Jay Gala and Wissam Siblini and Dominik Krzemiński and Genta Indra Winata and Saba Sturua and Saiteja Utpala and Mathieu Ciancone and Marion Schaeffer and Gabriel Sequeira and Diganta Misra and Shreeya Dhakal and Jonathan Rystrøm and Roman Solomatin and Ömer Çağatan and Akash Kundu and Martin Bernstorff and Shitao Xiao and Akshita Sukhlecha and Bhavish Pahwa and Rafał Poświata and Kranthi Kiran GV and Shawon Ashraf and Daniel Auras and Björn Plüster and
The same facts for your agent
A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.
dataset_licence({ "id": "mteb/PubChemWikiPairClassification" })
signal: "restrictive"
stated_licence: "cc-by-nc-sa-4.0"
sources: 1