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@@ -74,7 +74,7 @@ There are many multilingual embedding models which work well for Hindi and Engli
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  ### Additional information
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  - Some task dataset links: [Belebele](https://huggingface.co/datasets/facebook/belebele), [MLQA](https://huggingface.co/datasets/facebook/mlqa), [XQuAD](https://huggingface.co/datasets/google/xquad), [SemRel24](https://huggingface.co/datasets/SemRel/SemRel2024)
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  - hin_Latn tasks: Most hin_Latn tasks have been created by transliterating hindi texts using [indic-trans library](https://github.com/libindic/indic-trans)
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- - Detailed results: [github_link](https://github.com/akshita-sukhlecha/bhasha-embed/blob/main/eval/results/eval_results.csv)
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  - Script to reproduce the results: [github_link](https://github.com/akshita-sukhlecha/bhasha-embed/blob/main/eval/evaluator.py)
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  ### Additional information
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  - Some task dataset links: [Belebele](https://huggingface.co/datasets/facebook/belebele), [MLQA](https://huggingface.co/datasets/facebook/mlqa), [XQuAD](https://huggingface.co/datasets/google/xquad), [SemRel24](https://huggingface.co/datasets/SemRel/SemRel2024)
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  - hin_Latn tasks: Most hin_Latn tasks have been created by transliterating hindi texts using [indic-trans library](https://github.com/libindic/indic-trans)
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+ - Detailed results: [github_link](https://github.com/akshita-sukhlecha/bhasha-embed/blob/main/eval/results/all_results.csv)
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  - Script to reproduce the results: [github_link](https://github.com/akshita-sukhlecha/bhasha-embed/blob/main/eval/evaluator.py)
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