Add data loading script

dstc11.py

@@ -0,0 +1,121 @@
+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""DSTC11 Dataset."""
+
+import json
+import datasets
+
+
+_CITATION = """\
+@misc{gung2023natcs,
+      title={NatCS: Eliciting Natural Customer Support Dialogues}, 
+      author={James Gung and Emily Moeng and Wesley Rose and Arshit Gupta and Yi Zhang and Saab Mansour},
+      year={2023},
+      eprint={2305.03007},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+@misc{gung2023intent,
+      title={Intent Induction from Conversations for Task-Oriented Dialogue Track at DSTC 11}, 
+      author={James Gung and Raphael Shu and Emily Moeng and Wesley Rose and Salvatore Romeo and Yassine Benajiba and Arshit Gupta and Saab Mansour and Yi Zhang},
+      year={2023},
+      eprint={2304.12982},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+"""
+
+_DESCRIPTION = """
+This repository contains data, relevant scripts and baseline code for the Dialog Systems Technology Challenge (DSTC11).
+"""
+
+_HOMEPAGE = "https://github.com/amazon-science/dstc11-track2-intent-induction"
+_URLs = {
+    "validation": "development/dialogues.jsonl.gz",
+    "test-banking": "test-banking/dialogues.jsonl.gz",
+    "test-finance": "test-finance/dialogues.jsonl.gz",
+}
+
+class Dstc11(datasets.GeneratorBasedBuilder):
+    """Data from the DSTC 11 tasks."""
+
+    VERSION = datasets.Version("1.0.0")
+
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="data",
+            version=datasets.Version("1.0.0"),
+            description=_DESCRIPTION,
+        ),
+        datasets.BuilderConfig(name="docs", version=datasets.Version("1.0.0"), description=_DESCRIPTION),
+    ]
+
+    DEFAULT_CONFIG_NAME = "data"
+    
+    
+    def _info(self):
+        features=datasets.Features({
+            "dialogue_id": datasets.Value("string"),
+            "turns": datasets.Sequence(
+                datasets.Features({
+                    "turn_id": datasets.Value("string"),
+                    "speaker_role": datasets.Value("string"),
+                    "utterance": datasets.Value("string"),
+                    "dialogue_acts": datasets.Sequence(
+                        datasets.Value("string")
+                    ),
+                    "intents": datasets.Sequence(
+                        datasets.Value("string")
+                    ),
+                })
+            )
+        })
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            citation=_CITATION,
+            homepage=_HOMEPAGE)
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(_URLs)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={"filepaths": [data_dir["validation"]], "split": "validation"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepaths": [data_dir["test-banking"], data_dir["test-finance"]], "split": "test"},
+            ),
+            datasets.SplitGenerator(
+                name="test.banking",
+                gen_kwargs={"filepaths": [data_dir["test-banking"]], "split": "test.banking"},
+            ),
+            datasets.SplitGenerator(
+                name="test.finance",
+                gen_kwargs={"filepaths": [data_dir["test-finance"]], "split": "test.finance"},
+            ),
+        ]
+
+    def _generate_examples(self, filepaths, split):
+        key = 0
+        for filepath in filepaths:
+            for line in open(filepath, encoding="utf-8"):
+                line = json.loads(line)
+                yield key, line   
+                key += 1