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README.md

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----
-annotations_creators:
-- crowdsourced
-language_creators:
-- crowdsourced
-language:
-- en
-license:
-- unknown
-multilinguality:
-- monolingual
-pretty_name: BlendedSkillTalk
-size_categories:
-- 1K<n<10K
-source_datasets:
-- original
-task_categories:
-- conversational
-task_ids:
-- dialogue-generation
-paperswithcode_id: blended-skill-talk
-dataset_info:
-  features:
-  - name: personas
-    sequence: string
-  - name: additional_context
-    dtype: string
-  - name: previous_utterance
-    sequence: string
-  - name: context
-    dtype: string
-  - name: free_messages
-    sequence: string
-  - name: guided_messages
-    sequence: string
-  - name: suggestions
-    sequence:
-    - name: convai2
-      dtype: string
-    - name: empathetic_dialogues
-      dtype: string
-    - name: wizard_of_wikipedia
-      dtype: string
-  - name: guided_chosen_suggestions
-    sequence: string
-  - name: label_candidates
-    sequence:
-      sequence: string
-  splits:
-  - name: train
-    num_bytes: 10831361
-    num_examples: 4819
-  - name: validation
-    num_bytes: 43961658
-    num_examples: 1009
-  - name: test
-    num_bytes: 44450102
-    num_examples: 980
-  download_size: 38101408
-  dataset_size: 99243121
----
-
-# Dataset Card for "blended_skill_talk"
-
-## 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://parl.ai/projects/bst/](https://parl.ai/projects/bst/)
-- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-- **Paper:** [Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills](https://arxiv.org/abs/2004.08449v1)
-- **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:** 36.34 MB
-- **Size of the generated dataset:** 14.38 MB
-- **Total amount of disk used:** 50.71 MB
-
-### Dataset Summary
-
-A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.
-
-### 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:** 36.34 MB
-- **Size of the generated dataset:** 14.38 MB
-- **Total amount of disk used:** 50.71 MB
-
-An example of 'train' looks as follows.
-```
-{
-  'personas': ['my parents don t really speak english , but i speak italian and english.', 'i have three children.'],
-  'additional_context': 'Backstreet Boys',
-  'previous_utterance': ['Oh, I am a BIG fan of the Backstreet Boys!  Have you ever seen them performing live?', "No,I listen to their music a lot,  mainly the unbreakable which  is the Backstreet Boys' sixth studio album. "],
-  'context': 'wizard_of_wikipedia',
-  'free_messages': ['you are very knowledgeable, do you prefer nsync or bsb?', "haha kids of this days don't know them, i'm 46 and i still enjoying them, my kids only listen k-pop", "italian?haha that's strange, i only talk english and a little spanish "],
-  'guided_messages': ["i don't have a preference, they are both great. All 3 of my kids get annoyed when I listen to them though.", 'Sometimes I sing their songs in Italian, that really annoys them lol.', 'My parents barely speak English, so I was taught both.  By the way, what is k-pop?'],
-  'suggestions': {'convai2': ["i don't have a preference , both are pretty . do you have any hobbies ?", "do they the backstreet boys ? that's my favorite group .", 'are your kids interested in music ?'], 'empathetic_dialogues': ['I actually just discovered Imagine Dragons. I love them!', "Hahaha that just goes to show ya, age is just a umber!'", 'That would be hard! Do you now Spanish well?'], 'wizard_of_wikipedia': ['NSYNC Also had Lance Bass and Joey Fatone, sometimes called the Fat One.', 'Yes, there are a few K-Pop songs that I have heard good big in the USA. It is the most popular in South Korea and has Western elements of pop.', 'English, beleive it or not.']},
-  'guided_chosen_suggestions': ['convai2', '', ''],
-  'label_candidates': []}
-```
-
-### Data Fields
-
-The data fields are the same among all splits.
-
-#### default
-- `personas`: a `list` of `string` features.
-- `additional_context`: a `string` feature.
-- `previous_utterance`: a `list` of `string` features.
-- `context`: a `string` feature.
-- `free_messages`: a `list` of `string` features.
-- `guided_messgaes`: a `list` of `string` features.
-- `suggestions`: a dictionary feature containing:
-  - `convai2`: a `string` feature.
-  - `empathetic_dialogues`: a `string` feature.
-  - `wizard_of_wikipedia`: a `string` feature.
-- `guided_chosen_suggestions`: a `list` of `string` features.
-- `label_candidates`: a `list` of `lists` of `string` features.
-
-### Data Splits
-
-| name  |train|validation|test|
-|-------|----:|---------:|---:|
-|default| 4819|      1009| 980|
-
-## 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
-
-[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
-
-### Citation Information
-
-```
-@misc{smith2020evaluating,
-    title={Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills},
-    author={Eric Michael Smith and Mary Williamson and Kurt Shuster and Jason Weston and Y-Lan Boureau},
-    year={2020},
-    eprint={2004.08449},
-    archivePrefix={arXiv},
-    primaryClass={cs.CL}
-}
-
-```
-
-
-### Contributions
-
-Thanks to [@lewtun](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.

blended_skill_talk.py

@@ -1,146 +0,0 @@
-"""TODO(blended_skill_talk): Add a description here."""
-
-
-import json
-
-import datasets
-
-
-# TODO(blended_skill_talk): BibTeX citation
-_CITATION = """\
-@misc{smith2020evaluating,
-    title={Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills},
-    author={Eric Michael Smith and Mary Williamson and Kurt Shuster and Jason Weston and Y-Lan Boureau},
-    year={2020},
-    eprint={2004.08449},
-    archivePrefix={arXiv},
-    primaryClass={cs.CL}
-}
-"""
-
-# TODO(blended_skill_talk):
-_DESCRIPTION = """\
-A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.
-"""
-_URL = "http://parl.ai/downloads/blended_skill_talk/blended_skill_talk.tar.gz"
-
-_TASK = ["convai2", "empathetic_dialogues", "wizard_of_wikipedia"]
-
-
-class BlendedSkillTalk(datasets.GeneratorBasedBuilder):
-    """TODO(blended_skill_talk): Short description of my dataset."""
-
-    # TODO(blended_skill_talk): Set up version.
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        # TODO(blended_skill_talk): 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(
-                {
-                    "personas": datasets.features.Sequence(datasets.Value("string")),
-                    "additional_context": datasets.Value("string"),
-                    "previous_utterance": datasets.features.Sequence(datasets.Value("string")),
-                    "context": datasets.Value("string"),
-                    "free_messages": datasets.features.Sequence(datasets.Value("string")),
-                    "guided_messages": datasets.features.Sequence(datasets.Value("string")),
-                    "suggestions": datasets.features.Sequence({task: datasets.Value("string") for task in _TASK}),
-                    "guided_chosen_suggestions": datasets.features.Sequence(datasets.Value("string")),
-                    "label_candidates": datasets.features.Sequence(
-                        datasets.features.Sequence(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://parl.ai/projects/bst/",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        # TODO(blended_skill_talk): 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={
-                    "filepath": "train.json",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": "valid.json",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": "test.json",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, files):
-        """Yields examples."""
-        # TODO(blended_skill_talk): Yields (key, example) tuples from the dataset
-        for path, f in files:
-            if path == filepath:
-                data = json.load(f)
-                for id_, row in enumerate(data):
-                    personas = [row["personas"][1][0], row["personas"][1][1]]
-                    dialogs = [dialog[1] for dialog in row["dialog"]]
-                    free_messages = []
-                    guided_messages = []
-
-                    for i in range(len(dialogs) // 2):
-                        free_messages.append(dialogs[2 * i])
-                        guided_messages.append(dialogs[2 * i + 1])
-                    context = row["context_dataset"]
-                    add_context = row["additional_context"] if context == "wizard_of_wikipedia" else ""
-                    previous_utterance = [row["free_turker_utterance"], row["guided_turker_utterance"]]
-                    suggestions = row["suggestions"]
-                    convai_suggestions = []
-                    empathetic_suggestions = []
-                    wow_suggestions = []
-                    for i in range(len(suggestions) // 2):
-                        convai_suggestions.append(suggestions[2 * i + 1]["convai2"])
-                        empathetic_suggestions.append(suggestions[2 * i + 1]["empathetic_dialogues"])
-                        wow_suggestions.append(suggestions[2 * i + 1]["wizard_of_wikipedia"])
-                    chosen_suggestions = row["chosen_suggestions"]
-                    guided_chosen_suggestions = []
-                    for i in range(len(chosen_suggestions) // 2):
-                        guided_chosen_suggestions.append(chosen_suggestions[2 * i + 1])
-                    label_candidates = row["label_candidates"] if "label_candidates" in row else []
-                    yield id_, {
-                        "personas": personas,
-                        "additional_context": add_context,
-                        "previous_utterance": previous_utterance,
-                        "context": context,
-                        "free_messages": free_messages,
-                        "guided_messages": guided_messages,
-                        "suggestions": {
-                            "convai2": convai_suggestions,
-                            "empathetic_dialogues": empathetic_suggestions,
-                            "wizard_of_wikipedia": wow_suggestions,
-                        },
-                        "guided_chosen_suggestions": guided_chosen_suggestions,
-                        "label_candidates": label_candidates,
-                    }
-                break

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.\n", "citation": "@misc{smith2020evaluating,\n    title={Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills},\n    author={Eric Michael Smith and Mary Williamson and Kurt Shuster and Jason Weston and Y-Lan Boureau},\n    year={2020},\n    eprint={2004.08449},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://parl.ai/projects/bst/", "license": "", "features": {"personas": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "additional_context": {"dtype": "string", "id": null, "_type": "Value"}, "previous_utterance": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "free_messages": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "guided_messages": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "suggestions": {"feature": {"convai2": {"dtype": "string", "id": null, "_type": "Value"}, "empathetic_dialogues": {"dtype": "string", "id": null, "_type": "Value"}, "wizard_of_wikipedia": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}, "guided_chosen_suggestions": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "label_candidates": {"feature": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "blended_skill_talk", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10831361, "num_examples": 4819, "dataset_name": "blended_skill_talk"}, "validation": {"name": "validation", "num_bytes": 43961658, "num_examples": 1009, "dataset_name": "blended_skill_talk"}, "test": {"name": "test", "num_bytes": 44450102, "num_examples": 980, "dataset_name": "blended_skill_talk"}}, "download_checksums": {"http://parl.ai/downloads/blended_skill_talk/blended_skill_talk.tar.gz": {"num_bytes": 38101408, "checksum": "5fbed0068ee89e2d43b93c3ecb341e784617033efa5e8e911a219d4eda6134a6"}}, "download_size": 38101408, "post_processing_size": null, "dataset_size": 99243121, "size_in_bytes": 137344529}}

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