initial commit
Browse files- .gitattributes +7 -0
- dbpedia_subkg.json +3 -0
- entity2id.json +3 -0
- item_ids.json +3 -0
- redial_unicrs.py +215 -0
- relation2id.json +3 -0
- test_data_dbpedia.jsonl +3 -0
- train_data_dbpedia.jsonl +3 -0
- valid_data_dbpedia.jsonl +3 -0
.gitattributes
CHANGED
@@ -53,3 +53,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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item_ids.json filter=lfs diff=lfs merge=lfs -text
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relation2id.json filter=lfs diff=lfs merge=lfs -text
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dbpedia_subkg.json filter=lfs diff=lfs merge=lfs -text
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entity2id.json filter=lfs diff=lfs merge=lfs -text
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test_data_dbpedia.jsonl filter=lfs diff=lfs merge=lfs -text
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train_data_dbpedia.jsonl filter=lfs diff=lfs merge=lfs -text
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valid_data_dbpedia.jsonl filter=lfs diff=lfs merge=lfs -text
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dbpedia_subkg.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d1a18f4d9164c750be2cd8c9644d17f0a081b89bc2f0a5bb612dd75fbc6638e
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size 1538732
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entity2id.json
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:c957f90ce0dd5bfe393f08e6bd31bb92ca66d1bdba6a96b4f0fc55533a3cd6e2
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size 1758081
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item_ids.json
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:257830bb5a891acd6ac2a9deadd200f39bcccbb3f220a6545ae5bb2e968ca8dc
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size 41760
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redial_unicrs.py
ADDED
@@ -0,0 +1,215 @@
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import json
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import re
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from typing import List, Dict
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import html
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import datasets
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import pyarrow as pa
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logger = datasets.logging.get_logger(__name__)
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class RedialConfig(datasets.BuilderConfig):
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"""BuilderConfig for ReDIAL."""
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def __init__(self, features, **kwargs):
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"""BuilderConfig for ReDIAL (used in UniCRS).
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Args:
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features: *list[string]*, list of the features that will appear in the
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feature dict. Should not include "label".
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**kwargs: keyword arguments forwarded to super.
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"""
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super().__init__(version=datasets.Version("0.0.1"), **kwargs)
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self.features = features
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_URL = "./"
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_URLS = {
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"train": _URL + "train_data_dbpedia.jsonl",
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"valid": _URL + "valid_data_dbpedia.jsonl",
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"test": _URL + "test_data_dbpedia.jsonl",
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"entity2id": _URL + "entity2id.json"
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}
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class ReDIAL(datasets.GeneratorBasedBuilder):
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DEFAULT_CONFIG_NAME = "multiturn"
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BUILDER_CONFIGS = [
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RedialConfig(
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name="multiturn",
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description="The processed ReDIAL dataset in UniCRS. Each conversation yields multiple samples",
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features={
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"context": datasets.Sequence(datasets.Value("string")),
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"resp": datasets.Value("string"),
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"rec": datasets.Sequence(datasets.Value("int32")),
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"entity": datasets.Sequence(datasets.Value("int32")),
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},
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),
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RedialConfig(
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name="multiturn_masked",
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description="",
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features={
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"context": datasets.Sequence(datasets.Value("string")),
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"resp": datasets.Value("string"),
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"rec": datasets.Sequence(datasets.Value("int32")),
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"entity": datasets.Sequence(datasets.Value("int32")),
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},
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),
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RedialConfig(
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name="compact",
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description="Each conversation is one sample",
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features={
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"movieIds": datasets.Sequence(datasets.Value("string")),
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"movieNames": datasets.Sequence(datasets.Value("string")),
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"initiatorWorkerId": datasets.Value("int32"),
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"messages": datasets.Sequence(datasets.Value("string")),
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"senders": datasets.Sequence(datasets.Value("int32")),
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"entities": datasets.Sequence(datasets.Sequence(datasets.Value("string"))),
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"movies": datasets.Sequence(datasets.Sequence(datasets.Value("string")))
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},
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),
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]
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movie_pattern = re.compile(r'@\d+')
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def __init__(self, **kwargs):
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super().__init__(**kwargs)
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def _info(self):
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return datasets.DatasetInfo(
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description=self.config.description,
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features=datasets.Features(self.config.features),
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)
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def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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urls_to_download = _URLS
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downloaded_files = dl_manager.download_and_extract(urls_to_download)
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entity2id_file = downloaded_files["entity2id"]
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN,
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gen_kwargs={"filepath": downloaded_files["train"], "entity2id": entity2id_file}),
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datasets.SplitGenerator(name=datasets.Split.VALIDATION,
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gen_kwargs={"filepath": downloaded_files["valid"], "entity2id": entity2id_file}),
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datasets.SplitGenerator(name=datasets.Split.TEST,
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gen_kwargs={"filepath": downloaded_files["test"], "entity2id": entity2id_file}),
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]
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def _process_utt(self, utt, movieid2name, replace_movieId, remove_movie=False):
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def convert(match):
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movieid = match.group(0)[1:]
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if movieid in movieid2name:
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if remove_movie:
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return '<movie>'
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movie_name = movieid2name[movieid]
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movie_name = ' '.join(movie_name.split())
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return movie_name
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else:
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return match.group(0)
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if replace_movieId:
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utt = re.sub(self.movie_pattern, convert, utt)
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utt = ' '.join(utt.split())
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utt = html.unescape(utt)
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return utt
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def _generate_examples(self, filepath, entity2id):
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"""This function returns the examples in the raw (text) form."""
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logger.info("generating examples from = %s", filepath)
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with open(entity2id, 'r', encoding='utf-8') as f:
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entity2id = json.load(f)
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if "multiturn" in self.config.name:
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mask_flag = "mask" in self.config.name
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Idx = 0
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with open(filepath, encoding="utf-8") as f:
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for line in f:
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dialog = json.loads(line)
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if len(dialog['messages']) == 0:
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continue
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movieid2name = dialog['movieMentions']
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user_id, resp_id = dialog['initiatorWorkerId'], dialog['respondentWorkerId']
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context, resp = [], ''
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entity_list = []
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messages = dialog['messages']
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turn_i = 0
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while turn_i < len(messages):
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worker_id = messages[turn_i]['senderWorkerId']
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utt_turn = []
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entity_turn = []
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movie_turn = []
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mask_utt_turn = []
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turn_j = turn_i
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while turn_j < len(messages) and messages[turn_j]['senderWorkerId'] == worker_id:
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utt = self._process_utt(messages[turn_j]['text'], movieid2name, replace_movieId=True)
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utt_turn.append(utt)
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if mask_flag:
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mask_utt = self._process_utt(messages[turn_j]['text'], movieid2name,
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replace_movieId=True,
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remove_movie=True)
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mask_utt_turn.append(mask_utt)
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entity_ids = [entity2id[entity] for entity in messages[turn_j]['entity'] if
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entity in entity2id]
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entity_turn.extend(entity_ids)
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movie_ids = [entity2id[movie] for movie in messages[turn_j]['movie'] if movie in entity2id]
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movie_turn.extend(movie_ids)
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turn_j += 1
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utt = ' '.join(utt_turn)
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mask_utt = ' '.join(mask_utt_turn)
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if mask_flag and worker_id == user_id:
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context.append(utt)
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entity_list.append(entity_turn + movie_turn)
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else:
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resp = utt
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context_entity_list = [entity for entity_l in entity_list for entity in entity_l]
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context_entity_list_extend = []
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context_entity_list_extend += context_entity_list
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context_entity_list_extend = list(set(context_entity_list_extend))
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if len(context) == 0:
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context.append('')
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yield Idx, {
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'context': context,
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'resp': mask_utt if mask_flag else resp,
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'rec': movie_turn if mask_flag else list(set(movie_turn + entity_turn)),
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'entity': context_entity_list_extend,
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}
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Idx += 1
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context.append(resp)
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entity_list.append(movie_turn + entity_turn)
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turn_i = turn_j
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elif self.config.name == "compact":
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Idx = 0
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with open(filepath, encoding="utf-8") as f:
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for line in f:
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dialog = json.loads(line)
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if len(dialog['messages']) == 0:
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continue
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messages = dialog['messages']
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movieIds = [movieId for movieId in dialog["movieMentions"]]
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yield Idx, {
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"movieIds": movieIds,
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"movieNames": [dialog["movieMentions"][id] for id in movieIds],
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"initiatorWorkerId": dialog["initiatorWorkerId"],
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"messages": [turn['text'] for turn in messages],
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"senders": [turn["senderWorkerId"] for turn in messages],
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"entities": [[entity2id[entity] for entity in turn['entity'] if entity in entity2id] for turn in
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messages],
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"movies": [[entity2id[entity] for entity in turn['movie'] if entity in entity2id] for turn in
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messages]
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}
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Idx += 1
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relation2id.json
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:43d6e261ec5a70bfac9db28aa8bd53f1140597816eb60d2c9be555a3381e2578
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size 1136
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test_data_dbpedia.jsonl
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:f47ae77276a5cbc7021b2221cd9aac8d8236dd094bd33bb89a29e089ce7e1c94
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size 6924848
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train_data_dbpedia.jsonl
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:f73ec13388bda6e990720d63d9ad4ac0e95579b8e443cafc26a72a8fa7b8d29f
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+
size 47778009
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valid_data_dbpedia.jsonl
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:ec4bb48e2557fe160f83f10d7d10e706fd701c08dbe25494fb4840d930ce6472
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+
size 5331775
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