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+ ---
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+ task_categories:
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+ - sentence-similarity
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+ language:
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+ - af
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+ - am
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+ - te
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+ - mr
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+ - pa
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+ - hi
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+ - rw
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+ - ha
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+ - id
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+ - es
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+ - arb
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+ - arq
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+ - ary
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+ configs:
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+ - config_name: afr_Latn
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+ data_files:
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+ - split: test
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+ path: data/afr_Latn/test*
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+ - split: dev
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+ path: data/afr_Latn/dev*
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+ - config_name: amh_Ethi
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+ data_files:
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+ - split: test
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+ path: data/amh_Ethi/test*
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+ - split: dev
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+ path: data/amh_Ethi/dev*
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+ - config_name: arb_Arab
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+ data_files:
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+ - split: test
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+ path: data/arb_Arab/test*
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+ - split: dev
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+ path: data/arb_Arab/dev*
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+ - config_name: arq_Arab
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+ data_files:
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+ - split: test
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+ path: data/arq_Arab/test*
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+ - split: dev
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+ path: data/arq_Arab/dev*
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+ - config_name: ary_Arab
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+ data_files:
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+ - split: test
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+ path: data/ary_Arab/test*
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+ - split: dev
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+ path: data/ary_Arab/dev*
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+ - config_name: eng_Latn
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+ data_files:
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+ - split: test
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+ path: data/eng_Latn/test*
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+ - split: dev
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+ path: data/eng_Latn/dev*
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+ - config_name: hau_Latn
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+ data_files:
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+ - split: test
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+ path: data/hau_Latn/test*
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+ - split: dev
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+ path: data/hau_Latn/dev*
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+ - config_name: hin_Deva
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+ data_files:
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+ - split: test
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+ path: data/hin_Deva/test*
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+ - split: dev
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+ path: data/hin_Deva/dev*
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+ - config_name: ind_Latn
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+ data_files:
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+ - split: test
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+ path: data/ind_Latn/test*
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+ - split: dev
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+ path: data/ind_Latn/dev*
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+ - config_name: kin_Latn
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+ data_files:
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+ - split: test
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+ path: data/kin_Latn/test*
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+ - split: dev
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+ path: data/kin_Latn/dev*
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+ - config_name: mar_Deva
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+ data_files:
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+ - split: test
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+ path: data/mar_Deva/test*
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+ - split: dev
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+ path: data/mar_Deva/dev*
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+ - config_name: pan_Guru
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+ data_files:
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+ - split: test
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+ path: data/pan_Guru/test*
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+ - split: dev
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+ path: data/pan_Guru/dev*
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+ - config_name: spa_Latn
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+ data_files:
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+ - split: test
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+ path: data/spa_Latn/test*
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+ - split: dev
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+ path: data/spa_Latn/dev*
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+ - config_name: tel_Telu
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+ data_files:
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+ - split: test
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+ path: data/tel_Telu/test*
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+ - split: dev
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+ path: data/tel_Telu/dev*
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+ ---
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+
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+ **Source dataset**:
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+ - Link: [SemRel/SemRel2024](https://huggingface.co/datasets/SemRel/SemRel2024)
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+ - Revision: `ef5c383d1b87eb8feccde3dfb7f95e42b1b050dd`
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+
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+ **SemRel2024**:
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+ SemRel2024 is a collection of Semantic Textual Relatedness (STR) datasets for 14 languages, including African and Asian languages. The datasets are composed of sentence pairs, each assigned a relatedness score between 0 (completely) unrelated and 1 (maximally related) with a large range of expected relatedness values. SemRel2024 dataset was used as part of the SemEval2024 shared task 1. The task aims to evaluate the ability of systems to measure the semantic relatedness between two sentences.
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+
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+ **SemRel2024 Plus**
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+ SemRel2024 Plus additionally has hin_Latn data generated using indictrans library.