redial_unicrs / redial_unicrs.py
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import json
import re
from typing import List
import html
import datasets
logger = datasets.logging.get_logger(__name__)
class RedialConfig(datasets.BuilderConfig):
"""BuilderConfig for ReDIAL."""
def __init__(self, features,
initiator_prefix='User: ',
respondent_prefix='System: ',
separator='<sep>',
**kwargs):
"""BuilderConfig for ReDIAL (used in UniCRS).
Args:
features: *list[string]*, list of the features that will appear in the
feature dict. Should not include "label".
**kwargs: keyword arguments forwarded to super.
"""
super().__init__(version=datasets.Version("0.0.1"), **kwargs)
self.features = features
self.initiator_prefix = initiator_prefix
self.respondent_prefix = respondent_prefix
self.separator = separator
_URL = "./"
_URLS = {
"train": _URL + "train_data_dbpedia.jsonl",
"valid": _URL + "valid_data_dbpedia.jsonl",
"test": _URL + "test_data_dbpedia.jsonl",
"entity2id": _URL + "entity2id.json"
}
class ReDIAL(datasets.GeneratorBasedBuilder):
DEFAULT_CONFIG_NAME = "unrolled"
BUILDER_CONFIGS = [
RedialConfig(
name="compact",
description="Each conversation is one sample",
features={
"movieIds": datasets.Sequence(datasets.Value("string")),
"movieNames": datasets.Sequence(datasets.Value("string")),
"initiatorWorkerId": datasets.Value("int32"),
"messages": datasets.Sequence(datasets.Value("string")),
"senders": datasets.Sequence(datasets.Value("int32")),
"entities": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
"movies": datasets.Sequence(datasets.Sequence(datasets.Value("string")))
},
),
RedialConfig(
name="unrolled",
description="Formatted unrolled dialog messages. The `rec` and `recNames` are the movies from the last message",
features={
"messages": datasets.Sequence(datasets.Value("string")),
"rec": datasets.Sequence(datasets.Value("int32")),
"recNames": datasets.Sequence(datasets.Value("string")),
}
),
]
def __init__(self, **kwargs):
super().__init__(**kwargs)
def _info(self):
return datasets.DatasetInfo(
description=self.config.description,
features=datasets.Features(self.config.features),
)
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
urls_to_download = _URLS
downloaded_files = dl_manager.download_and_extract(urls_to_download)
entity2id_file = downloaded_files["entity2id"]
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN,
gen_kwargs={"filepath": downloaded_files["train"], "entity2id": entity2id_file}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION,
gen_kwargs={"filepath": downloaded_files["valid"], "entity2id": entity2id_file}),
datasets.SplitGenerator(name=datasets.Split.TEST,
gen_kwargs={"filepath": downloaded_files["test"], "entity2id": entity2id_file}),
]
def _process_utt(self, utt, movieid2name, replace_movieId, remove_movie=False):
def convert(match):
movieid = match.group(0)[1:]
if movieid in movieid2name:
if remove_movie:
return '<movie>'
movie_name = movieid2name[movieid]
movie_name = ' '.join(movie_name.split())
return self.entity_pattern.format(movie_name)
else:
return match.group(0)
if replace_movieId:
utt = re.sub(self.movie_pattern, convert, utt)
utt = ' '.join(utt.split())
utt = html.unescape(utt)
return utt
def _mark_entity(self, utt: str, entities: List[str]):
# If entities like "action movie" and "action" appear at the same time, we only mark the longer one
entities = sorted(list(set(entities)), key=lambda x: len(x), reverse=True)
for i, entity in enumerate(entities):
valid = True
for prev in entities[:i]:
if entity in prev:
valid = False
if valid:
utt = re.sub(entity, self.entity_pattern.format(entity), utt)
return utt
movie_pattern = re.compile(r'@(\d+)')
default_movie_entity = '<movie>'
entity_pattern = "<entity>{}</entity>"
def map_movie_pattern_to_entity(self, id2entity, id: str):
entity = id2entity[id] if id in id2entity else self.default_movie_entity
return self.entity_pattern.format_map(entity)
def _generate_examples(self, filepath, entity2id):
"""This function returns the examples in the raw (text) form."""
logger.info("generating examples from = %s", filepath)
with open(entity2id, 'r', encoding='utf-8') as f:
entity2id = json.load(f)
if self.config.name == "unrolled":
Idx = 0
with open(filepath, encoding="utf-8") as f:
for line in f:
dialog = json.loads(line)
if len(dialog['messages']) == 0:
continue
movieid2name = dialog['movieMentions']
user_id, resp_id = dialog['initiatorWorkerId'], dialog['respondentWorkerId']
context, resp = [], ''
messages = dialog['messages']
turn_i = 0
while turn_i < len(messages):
worker_id = messages[turn_i]['senderWorkerId']
utt_turn = []
movie_turn = []
movie_turn_names = []
turn_j = turn_i
while turn_j < len(messages) and messages[turn_j]['senderWorkerId'] == worker_id:
utt = self._process_utt(messages[turn_j]['text'], movieid2name, replace_movieId=True)
utt = self._mark_entity(utt, messages[turn_j]['entity_name'])
utt_turn.append(utt)
movie_ids = [entity2id[movie] for movie in messages[turn_j]['movie'] if
movie in entity2id]
movie_turn.extend(movie_ids)
movie_turn_names.extend(messages[turn_j]['movie_name'])
turn_j += 1
utt = ' '.join(utt_turn)
prefix = self.config.initiator_prefix if worker_id == user_id else self.config.respondent_prefix
resp = prefix + utt
context.append(resp)
yield Idx, {
'messages': context,
'rec': movie_turn,
'recNames': movie_turn_names,
}
Idx += 1
turn_i = turn_j
elif self.config.name == "compact":
Idx = 0
with open(filepath, encoding="utf-8") as f:
for line in f:
dialog = json.loads(line)
if len(dialog['messages']) == 0:
continue
messages = dialog['messages']
movieIds = [movieId for movieId in dialog["movieMentions"]]
yield Idx, {
"movieIds": movieIds,
"movieNames": [dialog["movieMentions"][id] for id in movieIds],
"initiatorWorkerId": dialog["initiatorWorkerId"],
"messages": [turn['text'] for turn in messages],
"senders": [turn["senderWorkerId"] for turn in messages],
"entities": [[entity2id[entity] for entity in turn['entity'] if entity in entity2id] for turn in
messages],
"movies": [[entity2id[entity] for entity in turn['movie'] if entity in entity2id] for turn in
messages]
}
Idx += 1