Datasets:
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---
license: cc-by-sa-3.0
configs:
- config_name: ara_Arab
data_files:
- split: validation
path: data/ara_Arab/validation*
- split: test
path: data/ara_Arab/test*
- config_name: deu_Latn
data_files:
- split: validation
path: data/deu_Latn/validation*
- split: test
path: data/deu_Latn/test*
- config_name: eng_Latn
data_files:
- split: validation
path: data/eng_Latn/validation*
- split: test
path: data/eng_Latn/test*
- config_name: hin_Deva
data_files:
- split: validation
path: data/hin_Deva/validation*
- split: test
path: data/hin_Deva/test*
- config_name: hin_Latn
data_files:
- split: validation
path: data/hin_Latn/validation*
- split: test
path: data/hin_Latn/test*
- config_name: spa_Latn
data_files:
- split: validation
path: data/spa_Latn/validation*
- split: test
path: data/spa_Latn/test*
- config_name: vie_Latn
data_files:
- split: validation
path: data/vie_Latn/validation*
- split: test
path: data/vie_Latn/test*
- config_name: zho_Hans
data_files:
- split: validation
path: data/zho_Hans/validation*
- split: test
path: data/zho_Hans/test*
task_categories:
- question-answering
language:
- en
- hi
- ar
- de
- es
- vi
- zh
---
**Source Dataset**
- Link: [facebook/mlqa](https://huggingface.co/datasets/facebook/mlqa)
- Revision: `397ed406c1a7902140303e7faf60fff35b58d285`
**MLQA**
MLQA (MultiLingual Question Answering) is a benchmark dataset for evaluating cross-lingual question answering performance.
MLQA consists of over 5K extractive QA instances (12K in English) in SQuAD format in seven languages - English, Arabic,
German, Spanish, Hindi, Vietnamese and Simplified Chinese. MLQA is highly parallel, with QA instances parallel between
4 different languages on average.
**MLQA Plus**
MLQA Plus additionally has hin_Latn data generated using indictrans library.
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