Datasets:
metadata
task_categories:
- sentence-similarity
language:
- af
- am
- te
- mr
- pa
- hi
- rw
- ha
- id
- es
- arb
- arq
- ary
configs:
- config_name: afr_Latn
data_files:
- split: test
path: data/afr_Latn/test*
- split: dev
path: data/afr_Latn/dev*
- config_name: amh_Ethi
data_files:
- split: test
path: data/amh_Ethi/test*
- split: dev
path: data/amh_Ethi/dev*
- config_name: arb_Arab
data_files:
- split: test
path: data/arb_Arab/test*
- split: dev
path: data/arb_Arab/dev*
- config_name: arq_Arab
data_files:
- split: test
path: data/arq_Arab/test*
- split: dev
path: data/arq_Arab/dev*
- config_name: ary_Arab
data_files:
- split: test
path: data/ary_Arab/test*
- split: dev
path: data/ary_Arab/dev*
- config_name: eng_Latn
data_files:
- split: test
path: data/eng_Latn/test*
- split: dev
path: data/eng_Latn/dev*
- config_name: hau_Latn
data_files:
- split: test
path: data/hau_Latn/test*
- split: dev
path: data/hau_Latn/dev*
- config_name: hin_Deva
data_files:
- split: test
path: data/hin_Deva/test*
- split: dev
path: data/hin_Deva/dev*
- config_name: hin_Latn
data_files:
- split: test
path: data/hin_Latn/test*
- split: dev
path: data/hin_Latn/dev*
- config_name: ind_Latn
data_files:
- split: test
path: data/ind_Latn/test*
- split: dev
path: data/ind_Latn/dev*
- config_name: kin_Latn
data_files:
- split: test
path: data/kin_Latn/test*
- split: dev
path: data/kin_Latn/dev*
- config_name: mar_Deva
data_files:
- split: test
path: data/mar_Deva/test*
- split: dev
path: data/mar_Deva/dev*
- config_name: pan_Guru
data_files:
- split: test
path: data/pan_Guru/test*
- split: dev
path: data/pan_Guru/dev*
- config_name: spa_Latn
data_files:
- split: test
path: data/spa_Latn/test*
- split: dev
path: data/spa_Latn/dev*
- config_name: tel_Telu
data_files:
- split: test
path: data/tel_Telu/test*
- split: dev
path: data/tel_Telu/dev*
Source dataset:
- Link: SemRel/SemRel2024
- Revision:
ef5c383d1b87eb8feccde3dfb7f95e42b1b050dd
SemRel2024:
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.
SemRel2024 Plus
SemRel2024 Plus additionally has hin_Latn data generated using indictrans library.