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@@ -27,3 +27,25 @@ configs:
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  - split: train
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  path: data/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - split: train
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  path: data/train-*
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  ---
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+ # MEDI dataset
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+ This dataset was used in the paper GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning. Refer to https://arxiv.org/abs/2402.16829 for details.
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+ The original dataset comes from the paper "One Embedder, Any Task: Instruction-Finetuned Text Embeddings" (https://arxiv.org/abs/2212.09741), which was used to train the INSTRUCTOR family of models (GitHub: https://github.com/xlang-ai/instructor-embedding).
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+ The code for processing and publishing the raw data to HuggingFace Hub is available at https://github.com/avsolatorio/GISTEmbed.
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+ ## Citation
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+ ```
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+ @article{solatorio2024gistembed,
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+ title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning},
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+ author={Aivin V. Solatorio},
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+ journal={arXiv preprint arXiv:2402.16829},
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+ year={2024},
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+ URL={https://arxiv.org/abs/2402.16829}
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+ eprint={2402.16829},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG}
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+ }
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+ ```