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"""TODO(blended_skill_talk): Add a description here."""
import json
import os
import datasets
# TODO(blended_skill_talk): BibTeX citation
_CITATION = """\
@misc{smith2020evaluating,
title={Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills},
author={Eric Michael Smith and Mary Williamson and Kurt Shuster and Jason Weston and Y-Lan Boureau},
year={2020},
eprint={2004.08449},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
"""
# TODO(blended_skill_talk):
_DESCRIPTION = """\
A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.
"""
_URL = "http://parl.ai/downloads/blended_skill_talk/blended_skill_talk.tar.gz"
_TASK = ["convai2", "empathetic_dialogues", "wizard_of_wikipedia"]
class BlendedSkillTalk(datasets.GeneratorBasedBuilder):
"""TODO(blended_skill_talk): Short description of my dataset."""
# TODO(blended_skill_talk): Set up version.
VERSION = datasets.Version("1.0.0")
def _info(self):
# TODO(blended_skill_talk): Specifies the datasets.DatasetInfo object
return datasets.DatasetInfo(
# This is the description that will appear on the datasets page.
description=_DESCRIPTION,
# datasets.features.FeatureConnectors
features=datasets.Features(
{
"personas": datasets.features.Sequence(datasets.Value("string")),
"additional_context": datasets.Value("string"),
"previous_utterance": datasets.features.Sequence(datasets.Value("string")),
"context": datasets.Value("string"),
"free_messages": datasets.features.Sequence(datasets.Value("string")),
"guided_messages": datasets.features.Sequence(datasets.Value("string")),
"suggestions": datasets.features.Sequence({task: datasets.Value("string") for task in _TASK})
# These are the features of your dataset like images, labels ...
}
),
# If there's a common (input, target) tuple from the features,
# specify them here. They'll be used if as_supervised=True in
# builder.as_dataset.
supervised_keys=None,
# Homepage of the dataset for documentation
homepage="https://parl.ai/projects/bst/",
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
# TODO(blended_skill_talk): Downloads the data and defines the splits
# dl_manager is a datasets.download.DownloadManager that can be used to
# download and extract URLs
data_dir = dl_manager.download_and_extract(_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
# These kwargs will be passed to _generate_examples
gen_kwargs={"filepath": os.path.join(data_dir, "train.json")},
),
datasets.SplitGenerator(
name=datasets.Split.VALIDATION,
# These kwargs will be passed to _generate_examples
gen_kwargs={"filepath": os.path.join(data_dir, "valid.json")},
),
datasets.SplitGenerator(
name=datasets.Split.TEST,
# These kwargs will be passed to _generate_examples
gen_kwargs={"filepath": os.path.join(data_dir, "test.json")},
),
]
def _generate_examples(self, filepath):
"""Yields examples."""
# TODO(blended_skill_talk): Yields (key, example) tuples from the dataset
with open(filepath, encoding="utf-8") as f:
data = json.load(f)
for id_, row in enumerate(data):
personas = [row["personas"][1][0], row["personas"][1][1]]
dialogs = [dialog[1] for dialog in row["dialog"]]
free_messages = []
guided_messages = []
for i in range(len(dialogs) // 2):
free_messages.append(dialogs[2 * i])
guided_messages.append(dialogs[2 * i + 1])
context = row["context_dataset"]
add_context = row["additional_context"] if context == "wizard_of_wikipedia" else ""
previous_utterance = [row["free_turker_utterance"], row["guided_turker_utterance"]]
suggestions = row["suggestions"]
convai_suggestions = []
empathetic_suggestions = []
wow_suggestions = []
for i in range(len(suggestions) // 2):
convai_suggestions.append(suggestions[2 * i + 1]["convai2"])
empathetic_suggestions.append(suggestions[2 * i + 1]["empathetic_dialogues"])
wow_suggestions.append(suggestions[2 * i + 1]["wizard_of_wikipedia"])
yield id_, {
"personas": personas,
"additional_context": add_context,
"previous_utterance": previous_utterance,
"context": context,
"free_messages": free_messages,
"guided_messages": guided_messages,
"suggestions": {
"convai2": convai_suggestions,
"empathetic_dialogues": empathetic_suggestions,
"wizard_of_wikipedia": wow_suggestions,
},
}
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