Duplicate from facebook/empathetic_dialogues

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README.md

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+---
+annotations_creators:
+- crowdsourced
+language:
+- en
+language_creators:
+- crowdsourced
+license:
+- cc-by-nc-4.0
+multilinguality:
+- monolingual
+pretty_name: EmpatheticDialogues
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- conversational
+- question-answering
+task_ids:
+- dialogue-generation
+- open-domain-qa
+paperswithcode_id: empatheticdialogues
+dataset_info:
+  features:
+  - name: conv_id
+    dtype: string
+  - name: utterance_idx
+    dtype: int32
+  - name: context
+    dtype: string
+  - name: prompt
+    dtype: string
+  - name: speaker_idx
+    dtype: int32
+  - name: utterance
+    dtype: string
+  - name: selfeval
+    dtype: string
+  - name: tags
+    dtype: string
+  splits:
+  - name: test
+    num_bytes: 3011332
+    num_examples: 10943
+  - name: train
+    num_bytes: 19040509
+    num_examples: 76673
+  - name: validation
+    num_bytes: 3077481
+    num_examples: 12030
+  download_size: 28022709
+  dataset_size: 25129322
+---
+
+# Dataset Card for "empathetic_dialogues"
+
+## 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:** [https://github.com/facebookresearch/EmpatheticDialogues](https://github.com/facebookresearch/EmpatheticDialogues)
+- **Repository:** https://github.com/facebookresearch/EmpatheticDialogues
+- **Paper:** [Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset](https://arxiv.org/abs/1811.00207)
+- **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:** 28.02 MB
+- **Size of the generated dataset:** 25.13 MB
+- **Total amount of disk used:** 53.15 MB
+
+### Dataset Summary
+
+PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
+
+### 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:** 28.02 MB
+- **Size of the generated dataset:** 25.13 MB
+- **Total amount of disk used:** 53.15 MB
+
+An example of 'train' looks as follows.
+```
+{
+    "context": "sentimental",
+    "conv_id": "hit:0_conv:1",
+    "prompt": "I remember going to the fireworks with my best friend. There was a lot of people_comma_ but it only felt like us in the world.",
+    "selfeval": "5|5|5_2|2|5",
+    "speaker_idx": 1,
+    "tags": "",
+    "utterance": "I remember going to see the fireworks with my best friend. It was the first time we ever spent time alone together. Although there was a lot of people_comma_ we felt like the only people in the world.",
+    "utterance_idx": 1
+}
+```
+
+### Data Fields
+
+The data fields are the same among all splits.
+
+#### default
+- `conv_id`: a `string` feature.
+- `utterance_idx`: a `int32` feature.
+- `context`: a `string` feature.
+- `prompt`: a `string` feature.
+- `speaker_idx`: a `int32` feature.
+- `utterance`: a `string` feature.
+- `selfeval`: a `string` feature.
+- `tags`: a `string` feature.
+
+### Data Splits
+
+| name  |train|validation|test |
+|-------|----:|---------:|----:|
+|default|76673|     12030|10943|
+
+## 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
+
+[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+
+## 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
+
+Creative Commons [Attribution-NonCommercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/).
+
+### Citation Information
+
+```
+@inproceedings{rashkin-etal-2019-towards,
+    title = "Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset",
+    author = "Rashkin, Hannah  and
+      Smith, Eric Michael  and
+      Li, Margaret  and
+      Boureau, Y-Lan",
+    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
+    month = jul,
+    year = "2019",
+    address = "Florence, Italy",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/P19-1534",
+    doi = "10.18653/v1/P19-1534",
+    pages = "5370--5381",
+}
+```
+
+### Contributions
+
+Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.

empathetic_dialogues.py

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+"""TODO(empathetic_dialogues): Add a description here."""
+
+
+import csv
+
+import datasets
+
+
+_CITATION = """\
+@inproceedings{rashkin2019towards,
+  title = {Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset},
+  author = {Hannah Rashkin and Eric Michael Smith and Margaret Li and Y-Lan Boureau},
+  booktitle = {ACL},
+  year = {2019},
+}
+"""
+
+_DESCRIPTION = """\
+PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
+"""
+_URL = "https://dl.fbaipublicfiles.com/parlai/empatheticdialogues/empatheticdialogues.tar.gz"
+
+
+class EmpatheticDialogues(datasets.GeneratorBasedBuilder):
+    """TODO(empathetic_dialogues): Short description of my dataset."""
+
+    # TODO(empathetic_dialogues): Set up version.
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        # TODO(empathetic_dialogues): Specifies the datasets.DatasetInfo object
+        return datasets.DatasetInfo(
+            # This is the description that will appear on the datasets page.
+            description=_DESCRIPTION,
+            # datasets.features.FeatureConnectors
+            features=datasets.Features(
+                {
+                    "conv_id": datasets.Value("string"),
+                    "utterance_idx": datasets.Value("int32"),
+                    "context": datasets.Value("string"),
+                    "prompt": datasets.Value("string"),
+                    "speaker_idx": datasets.Value("int32"),
+                    "utterance": datasets.Value("string"),
+                    "selfeval": datasets.Value("string"),
+                    "tags": datasets.Value("string")
+                    # These are the features of your dataset like images, labels ...
+                }
+            ),
+            # If there's a common (input, target) tuple from the features,
+            # specify them here. They'll be used if as_supervised=True in
+            # builder.as_dataset.
+            supervised_keys=None,
+            # Homepage of the dataset for documentation
+            homepage="https://github.com/facebookresearch/EmpatheticDialogues",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        # TODO(empathetic_dialogues): Downloads the data and defines the splits
+        # dl_manager is a datasets.download.DownloadManager that can be used to
+        # download and extract URLs
+        archive = dl_manager.download(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"files": dl_manager.iter_archive(archive), "split_file": "empatheticdialogues/train.csv"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"files": dl_manager.iter_archive(archive), "split_file": "empatheticdialogues/valid.csv"},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"files": dl_manager.iter_archive(archive), "split_file": "empatheticdialogues/test.csv"},
+            ),
+        ]
+
+    def _generate_examples(self, files, split_file):
+        """Yields examples."""
+        for path, f in files:
+            if split_file == path:
+                data = csv.DictReader(line.decode("utf-8") for line in f)
+                for id_, row in enumerate(data):
+                    utterance = row["utterance"]
+                    speaker_id = int(row["speaker_idx"])
+                    context = row["context"]
+                    conv_id = row["conv_id"]
+                    tags = row["tags"] if row["tags"] else ""
+                    selfeval = row["selfeval"] if row["selfeval"] else ""
+                    utterance_id = int(row["utterance_idx"])
+                    prompt = row["prompt"]
+                    yield id_, {
+                        "utterance": utterance,
+                        "utterance_idx": utterance_id,
+                        "context": context,
+                        "speaker_idx": speaker_id,
+                        "conv_id": conv_id,
+                        "selfeval": selfeval,
+                        "prompt": prompt,
+                        "tags": tags,
+                    }
+                break