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dataloader

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  1. dstc10_track2_task2.py +182 -0
dstc10_track2_task2.py ADDED
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+ import json
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+ from typing import List
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+
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+ import datasets
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+
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+ from datasets import BuilderConfig
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+ from datasets.features import Features
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+
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+ MAX_DIRECTORY_NAME_LENGTH = 255
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+
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+
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+ _CITATION = """\
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+ @article{kim2020domain,
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+ title={Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access},
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+ author={Seokhwan Kim and Mihail Eric and Karthik Gopalakrishnan and Behnam Hedayatnia and Yang Liu and Dilek Hakkani-Tur},
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+ journal={arXiv preprint arXiv:2006.03533}
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+ year={2020}
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+ }
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+ """
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+
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+ _HOMEPAGE = "https://github.com/alexa/alexa-with-dstc10-track2-dataset"
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+
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+
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+ _DESCRIPTION = """\
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+
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+ """
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+
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+ _BASE_URL_DSTC10 = "https://raw.githubusercontent.com/alexa/alexa-with-dstc10-track2-dataset/main/task2"
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+ _BASE_URL_DSTC9 = "https://raw.githubusercontent.com/alexa/alexa-with-dstc9-track1-dataset/master"
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+ _URLs = {
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+ "train": {
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+ "logs": f"{_BASE_URL_DSTC9}/data/train/logs.json",
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+ "labels": f"{_BASE_URL_DSTC9}/data/train/labels.json",
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+ "knowledge": f"{_BASE_URL_DSTC9}/data/knowledge.json",
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+ },
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+ "validation": {
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+ "logs": f"{_BASE_URL_DSTC10}/data/val/logs.json",
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+ "labels": f"{_BASE_URL_DSTC10}/data/val/labels.json",
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+ "knowledge": f"{_BASE_URL_DSTC10}/data/knowledge.json",
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+ },
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+ "test": {
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+ "logs": f"{_BASE_URL_DSTC10}/data/test/logs.json",
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+ "labels": f"{_BASE_URL_DSTC10}/data/test/labels.json",
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+ "knowledge": f"{_BASE_URL_DSTC10}/data/knowledge.json",
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+ }
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+ }
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+
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+ class DSTC10Track2Task2(datasets.GeneratorBasedBuilder):
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+
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+ VERSION = datasets.Version("1.0.0")
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+
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+ BUILDER_CONFIGS = [
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+ BuilderConfig(
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+ name="detection",
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+ version=VERSION,
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+ description="",
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+ ),
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+ BuilderConfig(
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+ name="selection",
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+ version=VERSION,
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+ description="",
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+ ),
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+ BuilderConfig(
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+ name="generation",
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+ version=VERSION,
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+ description="",
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+ ),
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+ ]
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+
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+ DEFAULT_CONFIG_NAME = "generation"
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+
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+ def _info(self):
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+
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+ if self.config.name == "generation":
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+ features = datasets.Features(
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+ {
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+ "id": datasets.Value("string"),
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+ "gem_id": datasets.Value("string"),
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+ "turns": [
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+ {
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+ "speaker": datasets.Value("string"),
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+ "text": datasets.Value("string"),
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+ "nbest": [
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+ {
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+ "hyp": datasets.Value("string"),
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+ "score": datasets.Value("float")
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+ }
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+ ]
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+ }
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+ ],
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+ "knowledge":
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+ {
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+ "domain": datasets.Value("string"),
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+ "entity_name": datasets.Value("string"),
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+ "title": datasets.Value("string"),
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+ "body": datasets.Value("string"),
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+ },
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+ "response": datasets.Value("string"),
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+ "source": datasets.Value("string"),
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+ }
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+ )
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+ else:
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+ raise Exception(f"Unexpected config name: {self.config.name}")
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+
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=features,
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+ supervised_keys=None,
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+ homepage=_HOMEPAGE,
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+ citation=_CITATION,
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+ )
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+
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+ def _generate_examples(self, logs, knowledge, labels, split=None):
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+ with open(logs) as fp:
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+ logs_data = json.load(fp)
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+ with open(labels) as fp:
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+ labels_data = json.load(fp)
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+ with open(knowledge) as fp:
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+ knowledge_data = json.load(fp)
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+
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+ i = 0
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+
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+ for log, label in zip(logs_data, labels_data):
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+ if not label["target"]:
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+ continue
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+
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+ # Ensure that nbest is in all turns
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+ for turn in log:
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+ if "nbest" not in turn:
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+ turn["nbest"] = []
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+
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+ if "source" not in label:
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+ source = "multiwoz"
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+ else:
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+ source = label["source"]
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+
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+ domain, entity_id, doc_id = (label["knowledge"][0].get(key) for key in ["domain", "entity_id", "doc_id"])
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+ entity_name = knowledge_data[domain][str(entity_id)]["name"]
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+ snippet = knowledge_data[domain][str(entity_id)]["docs"][str(doc_id)]
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+
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+ x = {
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+ "id": str(i),
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+ "gem_id": f"GEM-dstc10_track2_task2-{split}-{i}",
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+ "turns": log,
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+ "source": source,
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+ "knowledge": {
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+ "domain": domain,
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+ "entity_name": entity_name,
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+ "title": snippet["title"],
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+ "body": snippet["body"]
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+ },
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+ "response": label["response"]
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+ }
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+
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+ i += 1
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+
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+ yield x["id"], x
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+
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+ def _download_files(self, urls, data_files, dl_manager):
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+ if data_files is not None:
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+ for split, update_dict in data_files.items():
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+ if isinstance(update_dict, dict):
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+ for key, value in update_dict.items():
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+ urls[split][key] = value
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+
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+ return dl_manager.download_and_extract(urls)
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+
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+ def _split_generators(self, dl_manager) -> List[datasets.SplitGenerator]:
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+ urls_to_download = _URLs
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+ downloaded_files = self._download_files(urls_to_download, self.config.data_files, dl_manager)
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+ for split in ["train", "validation", "test"]:
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+ downloaded_files[split]["split"] = split
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+
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+ return [
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+ datasets.SplitGenerator(name=ds_split, gen_kwargs=downloaded_files[split])
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+ for ds_split, split in (
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+ (datasets.Split.TRAIN, "train"),
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+ (datasets.Split.VALIDATION, "validation"),
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+ (datasets.Split.TEST, "test"),
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+ )
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+ ]
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+