Bazinga! A Dataset for Multi-Party Dialogues Structuring
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This dataset provides audio soundtracks and time-coded manual transcripts of episodes of the following TV and movies series:
24, Battlestar Galactica, Breaking Bad, Buffy The Vampire Slayer, ER, Friends, Game Of Thrones, Homeland, Lost, Six Feet Under, The Big Bang Theory, The Office, The Walking Dead, Harry Potter, Star Wars, and The Lord of the Rings.
Citation
@InProceedings{bazinga,
author = {Lerner, Paul and Bergoënd, Juliette and Guinaudeau, Camille and Bredin, Hervé and Maurice, Benjamin and Lefevre, Sharleyne and Bouteiller, Martin and Berhe, Aman and Galmant, Léo and Yin, Ruiqing and Barras, Claude},
title = {Bazinga! A Dataset for Multi-Party Dialogues Structuring},
booktitle = {Proceedings of the Language Resources and Evaluation Conference},
month = {June},
year = {2022},
address = {Marseille, France},
publisher = {European Language Resources Association},
pages = {3434--3441},
url = {https://aclanthology.org/2022.lrec-1.367}
}
Usage
import datasets
dataset = datasets.load_dataset(
"bazinga/bazinga",
series="TheBigBangTheory",
audio=True,
use_auth_token=True)
# iterate over test episodes ("validation" and "train" are also available)
for episode in dataset["test"]:
identifier = episode["identifier"] # TheBigBangTheory.Season01.Episode01
# knowledge base
kb = episode["knowledge_base"]
kb["title"] # Pilot
kb["imdb"] # https://www.imdb.com/title/tt0775431/
kb["characters"] # ['leonard_hofstadter', 'sheldon_cooper', ..., 'kurt']
# annotated transcript
for word in episode["transcript"]:
word["token"] # your
word["speaker"] # leonard_hofstadter
word["forced_alignment"]["start_time"] # 14.240
word["forced_alignment"]["end_time"] # 14.350
word["forced_alignment"]["confidence"] # 0.990
word["entity_linking"] # sheldon_cooper
word["named_entity"] # None
word["addressee"] # sheldon_cooper
# audio (when dataset is initialized with audio=True)
audio = episode["audio"] # path to wav file on disk
# annotation status (GoldStandard, SilverStandard, or NotAvailable)
status = episode["status"]
status["speaker"] # GoldStandard
status["token"] # GoldStandard
status["forced_alignment"] # SilverStandard
status["entity_linking"] # ...
status["named_entity"] # ...
status["addressee"] # ...
# get list of available series
datasets.get_dataset_config_names("bazinga/bazinga")
# [ "24", "BattlestarGalactica", ..., "TheBigBangTheory", ... ]
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