nomic-ai/cornstack-ruby-v1
CoRNStack Ruby Dataset The CoRNStack Dataset, accepted to ICLR 2025, is a large-scale high quality training dataset specifically for code retrieval across multiple programming languages. This dataset comprises of <query, positive, negative> triplets used to train nomic-embed-code, CodeRankEmbed, and CodeRankLLM. CoRNStack Dataset Curation Starting with the deduplicated Stackv2, we create text-code pairs from function docstrings and respective code. We filtered… See the full description on the dataset page: https://huggingface.co/datasets/nomic-ai/cornstack-ruby-v1.
| Author / organization | nomic-ai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 174 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 6 December 2024 |
| Last updated at source | 27 March 2025 |
Popularity, last 2 days
174 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- Mungert/nomic-embed-code-GGUFModel · used to train
- mradermacher/nomic-embed-code-i1-GGUFModel · used to train
- minishlab/potion-code-16M-v2Model · used to train
- lmstudio-community/nomic-embed-code-GGUFModel · used to train
- mradermacher/nomic-embed-code-GGUFModel · used to train
- minishlab/potion-code-16MModel · used to train
- bartowski/nomic-ai_nomic-embed-code-GGUFModel · used to train
- nomic-ai/nomic-embed-codeModel · used to train
Recent changes
- 17 Oct 2026 Description: CoRNStack Ruby Dataset The CoRNStack Dataset, accepted to ICLR 2025, is a large-scale high quality training dataset specifically for code retrieval across multiple programming languages. This dataset comprises of <query, positive, negative> → CoRNStack Ruby Dataset The CoRNStack Dataset, accepted to ICLR 2025, is a large-scale high quality training dataset specifically for code retrieval across multiple programming languages. This dataset comprises of <query, positive, negative>
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