Name: MLQA - Multilingual Question-Answering
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

MLQA - Multilingual Question-Answering

Multilingual Question-Answering Dataset

By mlqa (From Huggingface) [source]

About this dataset

The dataset consists of several files in CSV format that provide context passages or paragraphs along with corresponding questions and answer options. The context passages serve as the source of information from which the questions are derived, and the answer options are potential answers to these questions.

Each file in the dataset contains different language combinations for evaluation purposes. For example, mlqa.es.zh_test.csv focuses on testing multilingual question-answering models in Spanish and Chinese languages. Similarly, mlqa.hi.de_test.csv provides test data specifically for evaluating Hindi-German language pairs.

In order to facilitate accurate evaluation of models' performance, each file includes multiple columns for context and answers. This allows researchers to assess how well their models can generate correct answers based on the given contexts.

Research Ideas

Evaluation of multilingual question-answering models: This dataset can be used to evaluate the performance of different models designed for multilingual question-answering. By providing context, question, and answer pairs in multiple languages, it allows researchers to measure the accuracy and effectiveness of their models across different language pairs.

Cross-lingual transfer learning: The MLQA dataset can be utilized to develop cross-lingual transfer learning techniques. Models trained on this dataset can learn to perform question-answering tasks in one language and then transfer that knowledge to answer questions in another language.

Language understanding research: Researchers studying natural language processing (NLP) and language understanding can use this dataset to analyze how different languages handle questions and answers within various contexts. They can explore linguistic patterns, variations, and differences across languages by comparing the performance of NLP models trained on this dataset for both similar and dissimilar language pairs

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: mlqa.es.zh_test.csv

Column name	Description
context	The text passage or paragraph in which a question is being asked. (Text)
answers	The possible answers to the question, along with their start and end positions within the context passage. (Text)

File: mlqa.hi.de_test.csv

Column name	Description
context	The text passage or paragraph in which a question is being asked. (Text)
answers	The possible answers to the question, along with their start and end positions within the context passage. (Text)

File: mlqa.zh.de_test.csv

Column name	Description
context	The text passage or paragraph in which a question is being asked. (Text)
answers	The possible answers to the question, along with their start and end positions within the context passage. (Text)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit mlqa (From Huggingface).

Tables

Mlqa Es Hi Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_es_hi_test

815.53 KB
1723 rows
4 columns


CREATE TABLE mlqa_es_hi_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Es Hi Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_es_hi_validation

106.2 KB
187 rows
4 columns


CREATE TABLE mlqa_es_hi_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Es Vi Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_es_vi_test

1 MB
2018 rows
4 columns


CREATE TABLE mlqa_es_vi_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Es Vi Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_es_vi_validation

110.41 KB
189 rows
4 columns


CREATE TABLE mlqa_es_vi_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Es Zh Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_es_zh_test

975.57 KB
1947 rows
4 columns


CREATE TABLE mlqa_es_zh_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Es Zh Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_es_zh_validation

85.07 KB
161 rows
4 columns


CREATE TABLE mlqa_es_zh_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Ar Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_ar_test

1.37 MB
1831 rows
4 columns


CREATE TABLE mlqa_hi_ar_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Ar Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_ar_validation

130.65 KB
186 rows
4 columns


CREATE TABLE mlqa_hi_ar_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi De Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_de_test

1.08 MB
1430 rows
4 columns


CREATE TABLE mlqa_hi_de_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi De Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_de_validation

111.28 KB
163 rows
4 columns


CREATE TABLE mlqa_hi_de_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi En Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_en_test

3.71 MB
4918 rows
4 columns


CREATE TABLE mlqa_hi_en_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi En Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_en_validation

355.32 KB
507 rows
4 columns


CREATE TABLE mlqa_hi_en_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Es Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_es_test

1.29 MB
1723 rows
4 columns


CREATE TABLE mlqa_hi_es_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Es Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_es_validation

141.98 KB
187 rows
4 columns


CREATE TABLE mlqa_hi_es_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Hi Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_hi_test

3.8 MB
4918 rows
4 columns


CREATE TABLE mlqa_hi_hi_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Hi Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_hi_validation

365.09 KB
507 rows
4 columns


CREATE TABLE mlqa_hi_hi_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Vi Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_vi_test

1.5 MB
1947 rows
4 columns


CREATE TABLE mlqa_hi_vi_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Vi Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_vi_validation

148.16 KB
177 rows
4 columns


CREATE TABLE mlqa_hi_vi_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Zh Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_zh_test

1.42 MB
1767 rows
4 columns


CREATE TABLE mlqa_hi_zh_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Hi Zh Validation

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_hi_zh_validation

142.49 KB
189 rows
4 columns


CREATE TABLE mlqa_hi_zh_validation (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Translate Test Ar Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_translate_test_ar_test

2.76 MB
5335 rows
4 columns


CREATE TABLE mlqa_translate_test_ar_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Translate Test De Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_translate_test_de_test

2.08 MB
4517 rows
4 columns


CREATE TABLE mlqa_translate_test_de_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Translate Test Es Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_translate_test_es_test

2.26 MB
5253 rows
4 columns


CREATE TABLE mlqa_translate_test_es_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Translate Test Hi Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_translate_test_hi_test

2.27 MB
4918 rows
4 columns


CREATE TABLE mlqa_translate_test_hi_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);

Mlqa Translate Test Vi Test

@kaggle.thedevastator_mlqa_multilingual_question_answering_dataset.mlqa_translate_test_vi_test

3.09 MB
5495 rows
4 columns


CREATE TABLE mlqa_translate_test_vi_test (
  "context" VARCHAR,
  "question" VARCHAR,
  "answers" VARCHAR,
  "id" VARCHAR
);