DuoRC: (Q&A: Wikipedia And IMDB)
English dataset of questions and answers from Wikipedia and IMDb movie plots
@kaggle.thedevastator_duorc_a_dataset_of_movie_plots
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About this Dataset
DuoRC: (Q&A: Wikipedia And IMDB)
DuoRC: (Q&A: Wikipedia and IMDB)
English dataset of questions and answers from Wikipedia and IMDb movie plots
By Huggingface Hub [source]
About this dataset
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How to use the dataset
The DuoRC dataset is an English language dataset of questions and answers gathered from crowdsourced AMT workers on Wikipedia and IMDb movie plots. The workers were given freedom to pick answer from the plots or synthesize their own answers. It contains two sub-datasets - SelfRC and ParaphraseRC. SelfRC dataset is built on Wikipedia movie plots solely. ParaphraseRC has questions written from Wikipedia movie plots and the answers are given based on corresponding IMDb movie plots.
Research Ideas
- This dataset can be used to train a model to answer questions about movie plots.
- This dataset can be used to train a model to answer questions about Wikipedia articles.
- This dataset can be used to find paraphrases of questions about movie plots
Acknowledgements
If you use this dataset in your research, please credit the original authors.
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: SelfRC_train.csv
| Column name | Description |
|---|---|
| plot | The plot of the movie. (String) |
| title | The title of the movie. (String) |
| question | The question about the plot. (String) |
| answers | The answers to the question. (List of strings) |
| no_answer | A binary value that indicates whether the question has a answer. (Integer) |
File: SelfRC_test.csv
| Column name | Description |
|---|---|
| plot | The plot of the movie. (String) |
| title | The title of the movie. (String) |
| question | The question about the plot. (String) |
| answers | The answers to the question. (List of strings) |
| no_answer | A binary value that indicates whether the question has a answer. (Integer) |
File: ParaphraseRC_train.csv
| Column name | Description |
|---|---|
| plot | The plot of the movie. (String) |
| title | The title of the movie. (String) |
| question | The question about the plot. (String) |
| answers | The answers to the question. (List of strings) |
| no_answer | A binary value that indicates whether the question has a answer. (Integer) |
File: SelfRC_validation.csv
| Column name | Description |
|---|---|
| plot | The plot of the movie. (String) |
| title | The title of the movie. (String) |
| question | The question about the plot. (String) |
| answers | The answers to the question. (List of strings) |
| no_answer | A binary value that indicates whether the question has a answer. (Integer) |
File: ParaphraseRC_test.csv
| Column name | Description |
|---|---|
| plot | The plot of the movie. (String) |
| title | The title of the movie. (String) |
| question | The question about the plot. (String) |
| answers | The answers to the question. (List of strings) |
| no_answer | A binary value that indicates whether the question has a answer. (Integer) |
File: ParaphraseRC_validation.csv
| Column name | Description |
|---|---|
| plot | The plot of the movie. (String) |
| title | The title of the movie. (String) |
| question | The question about the plot. (String) |
| answers | The answers to the question. (List of strings) |
| no_answer | A binary value that indicates whether the question has a answer. (Integer) |
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit Huggingface Hub.
Tables
Paraphraserc Test
@kaggle.thedevastator_duorc_a_dataset_of_movie_plots.paraphraserc_test
- 19.53 MB
- 15,857 rows
- 7 columns
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CREATE TABLE paraphraserc_test (
"plot_id" VARCHAR,
"plot" VARCHAR,
"title" VARCHAR,
"question_id" VARCHAR,
"question" VARCHAR,
"answers" VARCHAR,
"no_answer" BOOLEAN
);Paraphraserc Train
@kaggle.thedevastator_duorc_a_dataset_of_movie_plots.paraphraserc_train
- 84.04 MB
- 69,524 rows
- 7 columns
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CREATE TABLE paraphraserc_train (
"plot_id" VARCHAR,
"plot" VARCHAR,
"title" VARCHAR,
"question_id" VARCHAR,
"question" VARCHAR,
"answers" VARCHAR,
"no_answer" BOOLEAN
);Paraphraserc Validation
@kaggle.thedevastator_duorc_a_dataset_of_movie_plots.paraphraserc_validation
- 17.04 MB
- 15,591 rows
- 7 columns
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CREATE TABLE paraphraserc_validation (
"plot_id" VARCHAR,
"plot" VARCHAR,
"title" VARCHAR,
"question_id" VARCHAR,
"question" VARCHAR,
"answers" VARCHAR,
"no_answer" BOOLEAN
);Selfrc Test
@kaggle.thedevastator_duorc_a_dataset_of_movie_plots.selfrc_test
- 5.48 MB
- 12,559 rows
- 7 columns
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CREATE TABLE selfrc_test (
"plot_id" VARCHAR,
"plot" VARCHAR,
"title" VARCHAR,
"question_id" VARCHAR,
"question" VARCHAR,
"answers" VARCHAR,
"no_answer" BOOLEAN
);Selfrc Train
@kaggle.thedevastator_duorc_a_dataset_of_movie_plots.selfrc_train
- 30.03 MB
- 60,721 rows
- 7 columns
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CREATE TABLE selfrc_train (
"plot_id" VARCHAR,
"plot" VARCHAR,
"title" VARCHAR,
"question_id" VARCHAR,
"question" VARCHAR,
"answers" VARCHAR,
"no_answer" BOOLEAN
);Selfrc Validation
@kaggle.thedevastator_duorc_a_dataset_of_movie_plots.selfrc_validation
- 5.68 MB
- 12,961 rows
- 7 columns
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CREATE TABLE selfrc_validation (
"plot_id" VARCHAR,
"plot" VARCHAR,
"title" VARCHAR,
"question_id" VARCHAR,
"question" VARCHAR,
"answers" VARCHAR,
"no_answer" BOOLEAN
);