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covid-bing-query-gpt4-avs_triplets
- huggingface.co
Updated Aug 30, 2024
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EmailClick to copy linkLink copiedCiteAivin Solatorio (2024). covid-bing-query-gpt4-avs_triplets [Dataset]. https://huggingface.co/datasets/avsolatorio/covid-bing-query-gpt4-avs_tripletsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedAug 30, 2024AuthorsAivin SolatorioDescriptionCOVq dataset
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. The code for generating the data is available at https://github.com/avsolatorio/GISTEmbed.
Citation@article{solatorio2024gistembed, title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning}, author={Aivin V. Solatorio}… See the full description on the dataset page: https://huggingface.co/datasets/avsolatorio/covid-bing-query-gpt4-avs_triplets.
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covid-bing-query-gpt4
- huggingface.co
Updated Dec 15, 2019ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAivin Solatorio (2019). covid-bing-query-gpt4 [Dataset]. https://huggingface.co/datasets/avsolatorio/covid-bing-query-gpt4CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedDec 15, 2019AuthorsAivin SolatorioLicenseMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automaticallyDescriptionBing x GPT-4 Synthetic Query Dataset
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. The code for generating the data is available at https://github.com/avsolatorio/GISTEmbed.
Citation@article{solatorio2024gistembed, title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning}… See the full description on the dataset page: https://huggingface.co/datasets/avsolatorio/covid-bing-query-gpt4.
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medi-data-mteb-covid-bing-query-gpt4-avs_triplets
- huggingface.co
Updated Dec 15, 2010ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAivin Solatorio (2010). medi-data-mteb-covid-bing-query-gpt4-avs_triplets [Dataset]. https://huggingface.co/datasets/avsolatorio/medi-data-mteb-covid-bing-query-gpt4-avs_tripletsCroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedDec 15, 2010AuthorsAivin SolatorioDescriptionMEDI+MTEBcls+COVq dataset
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. The code for generating the data is available at https://github.com/avsolatorio/GISTEmbed.
Citation@article{solatorio2024gistembed, title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning}, author={Aivin V. Solatorio}… See the full description on the dataset page: https://huggingface.co/datasets/avsolatorio/medi-data-mteb-covid-bing-query-gpt4-avs_triplets.
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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. The code for generating the data is available at https://github.com/avsolatorio/GISTEmbed.
Citation
@article{solatorio2024gistembed, title={GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning}, author={Aivin V. Solatorio}… See the full description on the dataset page: https://huggingface.co/datasets/avsolatorio/covid-bing-query-gpt4-avs_triplets.