|
--- |
|
annotations_creators: |
|
- no-annotation |
|
language_creators: |
|
- found |
|
language: |
|
- en |
|
license: |
|
- cc-by-3.0 |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
- 100K<n<1M |
|
- 1M<n<10M |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- text-generation |
|
- fill-mask |
|
task_ids: |
|
- dialogue-modeling |
|
paperswithcode_id: mdd |
|
pretty_name: Movie Dialog dataset (MDD) |
|
dataset_info: |
|
- config_name: task1_qa |
|
features: |
|
- name: dialogue_turns |
|
sequence: |
|
- name: speaker |
|
dtype: int32 |
|
- name: utterance |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 8621120 |
|
num_examples: 96185 |
|
- name: test |
|
num_bytes: 894590 |
|
num_examples: 9952 |
|
- name: validation |
|
num_bytes: 892540 |
|
num_examples: 9968 |
|
download_size: 135614957 |
|
dataset_size: 10408250 |
|
- config_name: task2_recs |
|
features: |
|
- name: dialogue_turns |
|
sequence: |
|
- name: speaker |
|
dtype: int32 |
|
- name: utterance |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 205936579 |
|
num_examples: 1000000 |
|
- name: test |
|
num_bytes: 2064509 |
|
num_examples: 10000 |
|
- name: validation |
|
num_bytes: 2057290 |
|
num_examples: 10000 |
|
download_size: 135614957 |
|
dataset_size: 210058378 |
|
- config_name: task3_qarecs |
|
features: |
|
- name: dialogue_turns |
|
sequence: |
|
- name: speaker |
|
dtype: int32 |
|
- name: utterance |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 356789364 |
|
num_examples: 952125 |
|
- name: test |
|
num_bytes: 1730291 |
|
num_examples: 4915 |
|
- name: validation |
|
num_bytes: 1776506 |
|
num_examples: 5052 |
|
download_size: 135614957 |
|
dataset_size: 360296161 |
|
- config_name: task4_reddit |
|
features: |
|
- name: dialogue_turns |
|
sequence: |
|
- name: speaker |
|
dtype: int32 |
|
- name: utterance |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 497864160 |
|
num_examples: 945198 |
|
- name: test |
|
num_bytes: 5220295 |
|
num_examples: 10000 |
|
- name: validation |
|
num_bytes: 5372702 |
|
num_examples: 10000 |
|
- name: cand_valid |
|
num_bytes: 1521633 |
|
num_examples: 10000 |
|
- name: cand_test |
|
num_bytes: 1567235 |
|
num_examples: 10000 |
|
download_size: 192209920 |
|
dataset_size: 511546025 |
|
config_names: |
|
- task1_qa |
|
- task2_recs |
|
- task3_qarecs |
|
- task4_reddit |
|
--- |
|
|
|
# Dataset Card for MDD |
|
|
|
## Table of Contents |
|
- [Dataset Description](#dataset-description) |
|
- [Dataset Summary](#dataset-summary) |
|
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
|
- [Languages](#languages) |
|
- [Dataset Structure](#dataset-structure) |
|
- [Data Instances](#data-instances) |
|
- [Data Fields](#data-fields) |
|
- [Data Splits](#data-splits) |
|
- [Dataset Creation](#dataset-creation) |
|
- [Curation Rationale](#curation-rationale) |
|
- [Source Data](#source-data) |
|
- [Annotations](#annotations) |
|
- [Personal and Sensitive Information](#personal-and-sensitive-information) |
|
- [Considerations for Using the Data](#considerations-for-using-the-data) |
|
- [Social Impact of Dataset](#social-impact-of-dataset) |
|
- [Discussion of Biases](#discussion-of-biases) |
|
- [Other Known Limitations](#other-known-limitations) |
|
- [Additional Information](#additional-information) |
|
- [Dataset Curators](#dataset-curators) |
|
- [Licensing Information](#licensing-information) |
|
- [Citation Information](#citation-information) |
|
- [Contributions](#contributions) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage:**[The bAbI project](https://research.fb.com/downloads/babi/) |
|
- **Repository:** |
|
- **Paper:** [arXiv Paper](https://arxiv.org/pdf/1511.06931.pdf) |
|
- **Leaderboard:** |
|
- **Point of Contact:** |
|
### Dataset Summary |
|
|
|
The Movie Dialog dataset (MDD) is designed to measure how well models can perform at goal and non-goal orientated dialog centered around the topic of movies (question answering, recommendation and discussion), from various movie reviews sources such as MovieLens and OMDb. |
|
### Supported Tasks and Leaderboards |
|
|
|
[More Information Needed] |
|
|
|
### Languages |
|
|
|
The data is present in English language as written by users on OMDb and MovieLens websites. |
|
|
|
## Dataset Structure |
|
|
|
### Data Instances |
|
An instance from the `task3_qarecs` config's `train` split: |
|
``` |
|
{'dialogue_turns': {'speaker': [0, 1, 0, 1, 0, 1], 'utterance': ["I really like Jaws, Bottle Rocket, Saving Private Ryan, Tommy Boy, The Muppet Movie, Face/Off, and Cool Hand Luke. I'm looking for a Documentary movie.", 'Beyond the Mat', 'Who is that directed by?', 'Barry W. Blaustein', 'I like Jon Fauer movies more. Do you know anything else?', 'Cinematographer Style']}} |
|
``` |
|
An instance from the `task4_reddit` config's `cand-valid` split: |
|
``` |
|
{'dialogue_turns': {'speaker': [0], 'utterance': ['MORTAL KOMBAT !']}} |
|
``` |
|
### Data Fields |
|
|
|
For all configurations: |
|
- `dialogue_turns`: a dictionary feature containing: |
|
- `speaker`: an integer with possible values including `0`, `1`, indicating which speaker wrote the utterance. |
|
- `utterance`: a `string` feature containing the text utterance. |
|
|
|
### Data Splits |
|
|
|
The splits and corresponding sizes are: |
|
|
|
|config |train |test |validation|cand_valid|cand_test| |
|
|:--|------:|----:|---------:|----:|----:| |
|
|task1_qa|96185|9952|9968|-|-| |
|
|task2_recs|1000000|10000|10000|-|-| |
|
|task3_qarecs|952125|4915|5052|-|-| |
|
|task4_reddit|945198|10000|10000|10000|10000| |
|
|
|
The `cand_valid` and `cand_test` are negative candidates for the `task4_reddit` configuration which is used in ranking true positive against these candidates and hits@k (or another ranking metric) is reported. (See paper) |
|
|
|
|
|
## Dataset Creation |
|
|
|
### Curation Rationale |
|
|
|
[More Information Needed] |
|
|
|
### Source Data |
|
|
|
#### Initial Data Collection and Normalization |
|
|
|
The construction of the tasks depended on some existing datasets: |
|
|
|
1) MovieLens. The data was downloaded from: http://grouplens.org/datasets/movielens/20m/ on May 27th, 2015. |
|
|
|
2) OMDB. The data was downloaded from: http://beforethecode.com/projects/omdb/download.aspx on May 28th, 2015. |
|
|
|
3) For `task4_reddit`, the data is a processed subset (movie subreddit only) of the data available at: |
|
https://www.reddit.com/r/datasets/comments/3bxlg7 |
|
|
|
#### Who are the source language producers? |
|
|
|
Users on MovieLens, OMDB website and reddit websites, among others. |
|
|
|
### Annotations |
|
|
|
#### Annotation process |
|
|
|
[More Information Needed] |
|
|
|
#### Who are the annotators? |
|
|
|
[More Information Needed] |
|
|
|
### Personal and Sensitive Information |
|
|
|
[More Information Needed] |
|
|
|
## Considerations for Using the Data |
|
|
|
### Social Impact of Dataset |
|
|
|
[More Information Needed] |
|
|
|
### Discussion of Biases |
|
|
|
[More Information Needed] |
|
|
|
### Other Known Limitations |
|
|
|
[More Information Needed] |
|
|
|
## Additional Information |
|
|
|
### Dataset Curators |
|
|
|
Jesse Dodge and Andreea Gane and Xiang Zhang and Antoine Bordes and Sumit Chopra and Alexander Miller and Arthur Szlam and Jason Weston (at Facebook Research). |
|
|
|
### Licensing Information |
|
|
|
``` |
|
Creative Commons Attribution 3.0 License |
|
``` |
|
|
|
### Citation Information |
|
|
|
``` |
|
@misc{dodge2016evaluating, |
|
title={Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems}, |
|
author={Jesse Dodge and Andreea Gane and Xiang Zhang and Antoine Bordes and Sumit Chopra and Alexander Miller and Arthur Szlam and Jason Weston}, |
|
year={2016}, |
|
eprint={1511.06931}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
``` |
|
|
|
### Contributions |
|
|
|
Thanks to [@gchhablani](https://github.com/gchhablani) for adding this dataset. |
