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README.md

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----
-paperswithcode_id: dailydialog
-annotations_creators:
-- expert-generated
-language_creators:
-- found
-language:
-- en
-license:
-- cc-by-nc-sa-4.0
-multilinguality:
-- monolingual
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids:
-- multi-label-classification
-pretty_name: DailyDialog
-tags:
-- emotion-classification
-- dialog-act-classification
-dataset_info:
-  features:
-  - name: dialog
-    sequence: string
-  - name: act
-    sequence:
-      class_label:
-        names:
-          0: __dummy__
-          1: inform
-          2: question
-          3: directive
-          4: commissive
-  - name: emotion
-    sequence:
-      class_label:
-        names:
-          0: no emotion
-          1: anger
-          2: disgust
-          3: fear
-          4: happiness
-          5: sadness
-          6: surprise
-  splits:
-  - name: train
-    num_bytes: 7296715
-    num_examples: 11118
-  - name: test
-    num_bytes: 655844
-    num_examples: 1000
-  - name: validation
-    num_bytes: 673943
-    num_examples: 1000
-  download_size: 4475921
-  dataset_size: 8626502
----
-
-# Dataset Card for "daily_dialog"
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:** [http://yanran.li/dailydialog](http://yanran.li/dailydialog)
-- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Size of downloaded dataset files:** 4.27 MB
-- **Size of the generated dataset:** 8.23 MB
-- **Total amount of disk used:** 12.50 MB
-
-### Dataset Summary
-
-We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects.
-The language is human-written and less noisy. The dialogues in the dataset reflect our daily communication way
-and cover various topics about our daily life. We also manually label the developed dataset with communication
-intention and emotion information. Then, we evaluate existing approaches on DailyDialog dataset and hope it
-benefit the research field of dialog systems.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Languages
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Dataset Structure
-
-### Data Instances
-
-#### default
-
-- **Size of downloaded dataset files:** 4.27 MB
-- **Size of the generated dataset:** 8.23 MB
-- **Total amount of disk used:** 12.50 MB
-
-An example of 'validation' looks as follows.
-```
-This example was too long and was cropped:
-
-{
-    "act": [2, 1, 1, 1, 1, 2, 3, 2, 3, 4],
-    "dialog": "[\"Good afternoon . This is Michelle Li speaking , calling on behalf of IBA . Is Mr Meng available at all ? \", \" This is Mr Meng ...",
-    "emotion": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
-}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### default
-- `dialog`: a `list` of `string` features.
-- `act`: a `list` of classification labels, with possible values including `__dummy__` (0), `inform` (1), `question` (2), `directive` (3), `commissive` (4).
-- `emotion`: a `list` of classification labels, with possible values including `no emotion` (0), `anger` (1), `disgust` (2), `fear` (3), `happiness` (4).
-
-### Data Splits
-
-| name  |train|validation|test|
-|-------|----:|---------:|---:|
-|default|11118|      1000|1000|
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the source language producers?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-#### Who are the annotators?
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Personal and Sensitive Information
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Discussion of Biases
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Other Known Limitations
-
-Dataset provided for research purposes only. Please check dataset license for additional information.
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Licensing Information
-
-DailyDialog dataset is licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).
-
-### Citation Information
-
-```
-@InProceedings{li2017dailydialog,
-    author = {Li, Yanran and Su, Hui and Shen, Xiaoyu and Li, Wenjie and Cao, Ziqiang and Niu, Shuzi},
-    title = {DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset},
-    booktitle = {Proceedings of The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)},
-    year = {2017}
-}
-
-```
-
-
-### Contributions
-
-Thanks to [@thomwolf](https://github.com/thomwolf), [@julien-c](https://github.com/julien-c) for adding this dataset.

daily_dialog.py

@@ -1,122 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors
-#
-# 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.
-"""DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset"""
-
-
-import os
-from zipfile import ZipFile
-
-import datasets
-
-
-_CITATION = """\
-@InProceedings{li2017dailydialog,
-    author = {Li, Yanran and Su, Hui and Shen, Xiaoyu and Li, Wenjie and Cao, Ziqiang and Niu, Shuzi},
-    title = {DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset},
-    booktitle = {Proceedings of The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)},
-    year = {2017}
-}
-"""
-
-_DESCRIPTION = """\
-We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects.
-The language is human-written and less noisy. The dialogues in the dataset reflect our daily communication way
-and cover various topics about our daily life. We also manually label the developed dataset with communication
-intention and emotion information. Then, we evaluate existing approaches on DailyDialog dataset and hope it
-benefit the research field of dialog systems.
-"""
-
-_URL = "http://yanran.li/files/ijcnlp_dailydialog.zip"
-
-act_label = {
-    "0": "__dummy__",  # Added to be compatible out-of-the-box with datasets.ClassLabel
-    "1": "inform",
-    "2": "question",
-    "3": "directive",
-    "4": "commissive",
-}
-
-emotion_label = {
-    "0": "no emotion",
-    "1": "anger",
-    "2": "disgust",
-    "3": "fear",
-    "4": "happiness",
-    "5": "sadness",
-    "6": "surprise",
-}
-
-
-class DailyDialog(datasets.GeneratorBasedBuilder):
-    """DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    __EOU__ = "__eou__"
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "dialog": datasets.features.Sequence(datasets.Value("string")),
-                    "act": datasets.features.Sequence(datasets.ClassLabel(names=list(act_label.values()))),
-                    "emotion": datasets.features.Sequence(datasets.ClassLabel(names=list(emotion_label.values()))),
-                }
-            ),
-            supervised_keys=None,
-            homepage="http://yanran.li/dailydialog",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager):
-        dl_dir = dl_manager.download_and_extract(_URL)
-        data_dir = os.path.join(dl_dir, "ijcnlp_dailydialog")
-        splits = [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]
-        return [
-            datasets.SplitGenerator(
-                name=split,
-                gen_kwargs={
-                    "data_zip": os.path.join(data_dir, f"{split}.zip"),
-                    "dialog_path": f"{split}/dialogues_{split}.txt",
-                    "act_path": f"{split}/dialogues_act_{split}.txt",
-                    "emotion_path": f"{split}/dialogues_emotion_{split}.txt",
-                },
-            )
-            for split in splits
-        ]
-
-    def _generate_examples(self, data_zip, dialog_path, act_path, emotion_path):
-        with open(data_zip, "rb") as data_file:
-            with ZipFile(data_file) as zip_file:
-                with zip_file.open(dialog_path) as dialog_file, zip_file.open(act_path) as act_file, zip_file.open(
-                    emotion_path
-                ) as emotion_file:
-                    for idx, (dialog_line, act_line, emotion_line) in enumerate(
-                        zip(dialog_file, act_file, emotion_file)
-                    ):
-                        if not dialog_line.strip():
-                            break
-                        dialog = dialog_line.decode().split(self.__EOU__)[:-1]
-                        act = act_line.decode().split(" ")[:-1]
-                        emotion = emotion_line.decode().split(" ")[:-1]
-                        assert (
-                            len(dialog) == len(act) == len(emotion)
-                        ), "Different turns btw dialogue & emotion & action"
-                        yield idx, {
-                            "dialog": dialog,
-                            "act": [act_label[x] for x in act],
-                            "emotion": [emotion_label[x] for x in emotion],
-                        }

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects. \nThe language is human-written and less noisy. The dialogues in the dataset reflect our daily communication way \nand cover various topics about our daily life. We also manually label the developed dataset with communication \nintention and emotion information. Then, we evaluate existing approaches on DailyDialog dataset and hope it \nbenefit the research field of dialog systems.\n", "citation": "@InProceedings{li2017dailydialog,\n    author = {Li, Yanran and Su, Hui and Shen, Xiaoyu and Li, Wenjie and Cao, Ziqiang and Niu, Shuzi},\n    title = {DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset},\n    booktitle = {Proceedings of The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)},\n    year = {2017}\n}\n", "homepage": "http://yanran.li/dailydialog", "license": "cc-by-nc-sa-4.0", "features": {"dialog": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "act": {"feature": {"num_classes": 5, "names": ["__dummy__", "inform", "question", "directive", "commissive"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}, "emotion": {"feature": {"num_classes": 7, "names": ["no emotion", "anger", "disgust", "fear", "happiness", "sadness", "surprise"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": {"features": null, "resources_checksums": {"train": {}, "test": {}, "validation": {}}}, "supervised_keys": null, "builder_name": "daily_dialog", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 7296715, "num_examples": 11118, "dataset_name": "daily_dialog"}, "test": {"name": "test", "num_bytes": 655844, "num_examples": 1000, "dataset_name": "daily_dialog"}, "validation": {"name": "validation", "num_bytes": 673943, "num_examples": 1000, "dataset_name": "daily_dialog"}}, "download_checksums": {"http://yanran.li/files/ijcnlp_dailydialog.zip": {"num_bytes": 4475921, "checksum": "c641e88cbf21fd7c1b57289387f9107d33fe8685a2b37fe8066b82776535ea89"}}, "download_size": 4475921, "post_processing_size": 0, "dataset_size": 8626502, "size_in_bytes": 13102423}}

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