dataloader

dstc10_track2_task2.py

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