illuin-conteb/mldr-conteb-eval
ConTEB - MLDR (evaluation) This dataset is part of ConTEB (Context-aware Text Embedding Benchmark), designed for evaluating contextual embedding model capabilities. It stems from the widely used MLDR dataset. Dataset Summary MLDR consists of long documents, associated to existing sets of question-answer pairs. To build the corpus, we start from the pre-existing collection documents, extract the text, and chunk them (using LangChain's RecursiveCharacterSplitter… See the full description on the dataset page: https://huggingface.co/datasets/illuin-conteb/mldr-conteb-eval.
| Author / organization | illuin-conteb |
|---|---|
| Downloads | 863 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 12 January 2025 |
| Last updated at source | 2 June 2025 |
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- 16 Oct 2026 Description: ConTEB - MLDR (evaluation) This dataset is part of ConTEB (Context-aware Text Embedding Benchmark), designed for evaluating contextual embedding model capabilities. It stems from the widely used MLDR dataset. Dataset Summary MLDR consists o → ConTEB - MLDR (evaluation) This dataset is part of ConTEB (Context-aware Text Embedding Benchmark), designed for evaluating contextual embedding model capabilities. It stems from the widely used MLDR dataset. Dataset Summary MLDR consists o
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