BidirLM/BidirLM-Contrastive
BidirLM-Contrastive The contrastive training dataset used to train BidirLM Embedding models. It contains 10,110,219 query-document pairs from 79 base datasets, split into 203 subdatasets by language or type (~13 GB), covering three sources: Nemotron, KaLM, and parallel/other data. This dataset is described in the paper: BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs. If you use this dataset in your research or applications, please… See the full description on the dataset page: https://huggingface.co/datasets/BidirLM/BidirLM-Contrastive.
| Author / organization | BidirLM |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 796 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 7 April 2026 |
| Last updated at source | 13 May 2026 |
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- 16 Oct 2026 Description: BidirLM-Contrastive The contrastive training dataset used to train BidirLM Embedding models. It contains 10,110,219 query-document pairs from 79 base datasets, split into 203 subdatasets by language or type (~13 GB), covering three sources: → BidirLM-Contrastive The contrastive training dataset used to train BidirLM Embedding models. It contains 10,110,219 query-document pairs from 79 base datasets, split into 203 subdatasets by language or type (~13 GB), covering three sources:
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