Update dialogsum_reformat.py

dialogsum_reformat.py

@@ -1,9 +1,26 @@
+# 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.
+"""DIALOGSum dataset."""
+
+
 import json
-import pandas as pd
+
+import py7zr
+
 import datasets
-import os
 
-logger = datasets.logging.get_logger(__name__)
 
 _CITATION = """
 @inproceedings{chen-etal-2021-dialogsum,
@@ -32,40 +49,30 @@ There are two features:
 """
 _HOMEPAGE = "hhttps://aclanthology.org/2021.findings-acl.449"
 _LICENSE = "CC BY-NC-ND 4.0"
-# _URL = "https://huggingface.co/datasets/knkarthick/dialogsum_reformat/tree/main/"
-_URL = "https://huggingface.co/datasets/knkarthick/dialogsum_reformat/resolve/main/"
-# _URL = "https://huggingface.co/datasets/knkarthick/dialogsum_reformat/blob/main/"
-
-_URLS = {
-    "train": _URL + "train.json",
-    "test": _URL + "test.json",
-    "val": _URL + "val.json",
-}
-
+_URL = "https://huggingface.co/datasets/knkarthick/dialogsum_reformat/resolve/main/corpus.7z"
 
 
 class Dialogsum(datasets.GeneratorBasedBuilder):
-    """Dialogsum Corpus dataset."""
+    """DIALOGSum Corpus dataset."""
 
     VERSION = datasets.Version("1.1.0")
 
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="dialogsum_reformat"),
+        datasets.BuilderConfig(name="dialogsum"),
     ]
 
     def _info(self):
+        features = datasets.Features(
+            {
+                "id": datasets.Value("string"),
+                "dialogue": datasets.Value("string"),
+                "summary": datasets.Value("string"),
+                "topic": datasets.Value("string"),
+            }
+        )
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "dialogue": datasets.Value("string"),
-                    "summary": datasets.Value("string"),
-                    "topic": datasets.Value("string"),
-                }
-            ),
-            # No default supervised_keys (as we have to pass both question
-            # and context as input).
+            features=features,
             supervised_keys=None,
             homepage=_HOMEPAGE,
             license=_LICENSE,
@@ -73,47 +80,161 @@ class Dialogsum(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        downloaded_files = dl_manager.download_and_extract(_URLS)
+        """Returns SplitGenerators."""
+        path = dl_manager.download(_URL)
         return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["val"]}),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": (path, "train.json"),
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": (path, "test.json"),
+                    "split": "test",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": (path, "val.json"),
+                    "split": "val",
+                },
+            ),
         ]
 
-    def _generate_examples(self, filepath):
-        """This function returns the examples in the raw (text) form."""
-        logger.info("generating examples from = %s", filepath)
-        with open(filepath) as f :
-    		data = json.load(f)
-
-        for info in data :
-            dialogue_id = info['id']
-            dialogue_name = info['dialogue']
-            dialogue_summary = info['summary']
-            dialogue_topic = info['topic']
-
-            yield {
-                "id" : dialogue_id,
-                "dialogue" : dialogue_name,
-                "summary" : dialogue_summary,
-                "topic" : dialogue_topic,
-            }
+    def _generate_examples(self, filepath, split):
+        """Yields examples."""
+        path, fname = filepath
+        with open(path, "rb") as f:
+            with py7zr.SevenZipFile(f, "r") as z:
+                for name, bio in z.readall().items():
+                    if name == fname:
+                        data = json.load(bio)
+        for example in data:
+            yield example["id"], example
+
+###################### OLD #####################
+
+# import json
+# import pandas as pd
+# import datasets
+# import os
+
+# logger = datasets.logging.get_logger(__name__)
+
+# _CITATION = """
+# @inproceedings{chen-etal-2021-dialogsum,
+#   title={{D}ialog{S}um: {A} Real-Life Scenario Dialogue Summarization Dataset},
+#   author={Chen, Yulong and Liu, Yang  and Chen, Liang  and Zhang, Yue},
+#   journal={arXiv preprint arXiv:1911.12237},
+#   year={2021},
+#   booktitle ={Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021"},
+#   month = {aug},
+#   address = {Online},
+#   publisher = {Association for Computational Linguistics},
+#   url = {https://aclanthology.org/2021.findings-acl.449},
+#   doi = {10.18653/v1/2021.findings-acl.449},
+#   pages = {5062--5074}
+# }
+# """
+
+# _DESCRIPTION = """
+# DialogSUM Corpus contains 13460 chat dialogues with manually annotated
+# summaries.
+# There are two features:
+#   - dialogue: text of dialogue.
+#   - summary: human written summary of the dialogue.
+#   - topic: one liner summary of the dialogue.
+#   - id: id of a example.
+# """
+# _HOMEPAGE = "hhttps://aclanthology.org/2021.findings-acl.449"
+# _LICENSE = "CC BY-NC-ND 4.0"
+# # _URL = "https://huggingface.co/datasets/knkarthick/dialogsum_reformat/tree/main/"
+# _URL = "https://huggingface.co/datasets/knkarthick/dialogsum_reformat/resolve/main/"
+# # _URL = "https://huggingface.co/datasets/knkarthick/dialogsum_reformat/blob/main/"
+
+# _URLS = {
+#     "train": _URL + "train.json",
+#     "test": _URL + "test.json",
+#     "val": _URL + "val.json",
+# }
+
+
+
+# class Dialogsum(datasets.GeneratorBasedBuilder):
+#     """Dialogsum Corpus dataset."""
+
+#     VERSION = datasets.Version("1.1.0")
+
+#     BUILDER_CONFIGS = [
+#         datasets.BuilderConfig(name="dialogsum_reformat"),
+#     ]
+
+#     def _info(self):
+#         return datasets.DatasetInfo(
+#             description=_DESCRIPTION,
+#             features=datasets.Features(
+#                 {
+#                     "id": datasets.Value("string"),
+#                     "dialogue": datasets.Value("string"),
+#                     "summary": datasets.Value("string"),
+#                     "topic": datasets.Value("string"),
+#                 }
+#             ),
+#             # No default supervised_keys (as we have to pass both question
+#             # and context as input).
+#             supervised_keys=None,
+#             homepage=_HOMEPAGE,
+#             license=_LICENSE,
+#             citation=_CITATION,
+#         )
+
+#     def _split_generators(self, dl_manager):
+#         downloaded_files = dl_manager.download_and_extract(_URLS)
+#         return [
+#             datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+#             datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),
+#             datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["val"]}),
+#         ]
+
+#     def _generate_examples(self, filepath):
+#         """This function returns the examples in the raw (text) form."""
+#         logger.info("generating examples from = %s", filepath)
+#         with open(filepath) as f :
+#     		data = json.load(f)
+
+#         for info in data :
+#             dialogue_id = info['id']
+#             dialogue_name = info['dialogue']
+#             dialogue_summary = info['summary']
+#             dialogue_topic = info['topic']
+
+#             yield {
+#                 "id" : dialogue_id,
+#                 "dialogue" : dialogue_name,
+#                 "summary" : dialogue_summary,
+#                 "topic" : dialogue_topic,
+#             }
             
-    # def _generate_examples(self, filepath, split):
-    #     """This function returns the examples in the raw (text) form."""
-    #     logger.info("generating examples from = %s", filepath)
-    #     with open(os.path.join(filepath, split)) as f :
-    # 		data = json.load(f)
-
-    #     for info in data :
-    #         dialogue_id = info['id']
-    #         dialogue_name = info['dialogue']
-    #         dialogue_summary = info['summary']
-    #         dialogue_topic = info['topic']
-
-    #         yield key, {
-    #             "id" : dialogue_id,
-    #             "dialogue" : dialogue_name,
-    #             "summary" : dialogue_summary,
-    #             "topic" : dialogue_topic,
-    #         }
+#     # def _generate_examples(self, filepath, split):
+#     #     """This function returns the examples in the raw (text) form."""
+#     #     logger.info("generating examples from = %s", filepath)
+#     #     with open(os.path.join(filepath, split)) as f :
+#     # 		data = json.load(f)
+
+#     #     for info in data :
+#     #         dialogue_id = info['id']
+#     #         dialogue_name = info['dialogue']
+#     #         dialogue_summary = info['summary']
+#     #         dialogue_topic = info['topic']
+
+#     #         yield key, {
+#     #             "id" : dialogue_id,
+#     #             "dialogue" : dialogue_name,
+#     #             "summary" : dialogue_summary,
+#     #             "topic" : dialogue_topic,
+#     #         }