daiso.py

# 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.
# TODO: Address all TODOs and remove all explanatory comments
"""TODO: Add a description here."""

import textwrap
import csv
import pandas as pd
import json
import os

import datasets

_VERSION = datasets.Version("1.1.0")

# TODO: Add BibTeX citation
# Find for instance the citation on arxiv or on the dataset repo/website
_DAISO_CITATION = """\
@InProceedings{huggingface:dataset,
title = {A great new dataset},
author={Igor Kuzmin
},
year={2023}
}
"""

# TODO: Add description of the dataset here
# You can copy an official description
_DAISO_DESCRIPTION = """\
This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
"""

# TODO: Add a link to an official homepage for the dataset here
_HOMEPAGE = ""

# TODO: Add the licence for the dataset here if you can find it
_LICENSE = ""

# TODO: Add link to the official dataset URLs here
# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
_URL = "https://raw.githubusercontent.com/igorktech/DAISO-benchmark/dev"

LABELS_MAPPING = {
    "ami": {
        "bck": {
            "base": "Backchannel",
            "ISO": "feedback"
        },
        "stl": {
            "base": "Stall",
            "ISO": None
        },
        "fra": {
            "base": "Fragment",
            "ISO": None
        },
        "inf": {
            "base": "Inform",
            "ISO": "inform"
        },
        "sug": {
            "base": "Suggest",
            "ISO": "directive"
        },
        "ass": {
            "base": "Assess",
            "ISO": "feedback"
        },
        "el.inf": {
            "base": "Elicit-Inform",
            "ISO": None
        },
        "el.sug": {
            "base": "Elicit-Offer-Or-Suggestion",
            "ISO": "directive"
        },
        "el.ass": {
            "base": "Elicit-Assessment",
            "ISO": None
        },
        "el.und": {
            "base": "Elicit-Comment-Understanding",
            "ISO": None
        },
        "off": {
            "base": "Offer",
            "ISO": "commissive"
        },
        "und": {
            "base": "Comment-About-Understanding",
            "ISO": "feedback"
        },
        "be.pos": {
            "base": "Be-Positive",
            "ISO": None
        },
        "be.neg": {
            "base": "Be-Negative",
            "ISO": None
        },
        "oth": {
            "base": "Other",
            "ISO": None
        }
    },
    "oasis": {
        "inform": {
            "base": "Inform",
            "ISO": "inform"
        },
        "ackn": {
            "base": "Acknowledge",
            "ISO": "feedback"
        },
        "reqInfo": {
            "base": "Request Inform",
            "ISO": "directive"
        },
        "backch": {
            "base": "Backchannel",
            "ISO": "feedback"
        },
        "answ": {
            "base": "Answer",
            "ISO": "answer"
        },
        "init": {
            "base": "Initialise",
            "ISO": "discourse"
        },
        "thank": {
            "base": "Thank",
            "ISO": "thanking"
        },
        "greet": {
            "base": "Greet",
            "ISO": "greeting"
        },
        "accept": {
            "base": "Accept",
            "ISO": "agreement"
        },
        "answElab": {
            "base": "Answer Elaborate",
            "ISO": "inform"
        },
        "informIntent": {
            "base": "Inform Intention",
            "ISO": "commissive"
        },
        "bye": {
            "base": "Bye",
            "ISO": "goodbye"
        },
        "direct": {
            "base": "Direct",
            "ISO": "directive"
        },
        "confirm": {
            "base": "Confirm",
            "ISO": "answer"
        },
        "expressRegret": {
            "base": "Express Regret",
            "ISO": "apology"
        },
        "hold": {
            "base": "Hold",
            "ISO": "turn"
        },
        "expressOpinion": {
            "base": "Express Opinion",
            "ISO": "inform"
        },
        "offer": {
            "base": "Offer",
            "ISO": "commissive"
        },
        "echo": {
            "base": "Echo",
            "ISO": "feedback"
        },
        "appreciate": {
            "base": "Appreciate",
            "ISO": "feedback"
        },
        "refer": {
            "base": "Refer",
            "ISO": None
        },
        "suggest": {
            "base": "Suggest",
            "ISO": "directive"
        },
        "reqDirect": {
            "base": "Request Direct",
            "ISO": "directive"
        },
        "negate": {
            "base": "Negate",
            "ISO": "disagreement"
        },
        "exclaim": {
            "base": "Exclaim",
            "ISO": None
        },
        "pardon": {
            "base": "Pardon",
            "ISO": "apology"
        },
        "identifySelf": {
            "base": "Identify Self",
            "ISO": None
        },
        "expressPossibility": {
            "base": "Express Possibility",
            "ISO": "inform"
        },
        "raiseIssue": {
            "base": "Raise Issue",
            "ISO": None
        },
        "expressWish": {
            "base": "Express Wish",
            "ISO": "inform"
        },
        "reqModal": {
            "base": "Request Modal",
            "ISO": "directive"
        },
        "complete": {
            "base": "Complete",
            "ISO": None
        },
        "directElab": {
            "base": "Direct Elaborate",
            "ISO": "directive"
        },
        "correct": {
            "base": "Correct",
            "ISO": None
        },
        "refuse": {
            "base": "Refuse",
            "ISO": None
        },
        "informIntent-hold": {
            "base": "Inform Intent Hold",
            "ISO": None
        },
        "informDisc": {
            "base": "Inform Continue",
            "ISO": None
        },
        "informCont": {
            "base": "Inform Discontinue",
            "ISO": None
        },
        "selfTalk": {
            "base": "Self Talk",
            "ISO": None
        },
        "correctSelf": {
            "base": "Correct Self",
            "ISO": "disagreement"
        },
        "expressRegret-inform": {
            "base": "Express Regret Inform",
            "ISO": None
        },
        "thank-identifySelf": {
            "base": "Thank Identify Self",
            "ISO": None
        }
    },
    "maptask": {
        "acknowledge": {
            "base": "Acknowledge",
            "ISO": "feedback"
        },
        "instruct": {
            "base": "Instruct",
            "ISO": "directive"
        },
        "reply_y": {
            "base": "Yes-Reply",
            "ISO": "answer"
        },
        "explain": {
            "base": "Explain",
            "ISO": "inform"
        },
        "check": {
            "base": "Check",
            "ISO": "feedback"
        },
        "ready": {
            "base": "Ready",
            "ISO": "discourse"
        },
        "align": {
            "base": "Check Attention",
            "ISO": None
        },
        "query_yn": {
            "base": "Yes-No-Question",
            "ISO": "propq"
        },
        "clarify": {
            "base": "Clarify",
            "ISO": "inform"
        },
        "reply_w": {
            "base": "Non Yes-No-Reply",
            "ISO": "answer"
        },
        "reply_n": {
            "base": "No-Reply",
            "ISO": "answer"
        },
        "query_w": {
            "base": "Non Yes-No-Question",
            "ISO": "setq"
        }
    },
    "mrda": {
        "s": {
            "base": "Statement",
            "ISO": "inform"
        },
        "b": {
            "base": "Continuer (backchannel)",
            "ISO": "feedback"
        },
        "fh": {
            "base": "Floor Holder",
            "ISO": "turn"
        },
        "bk": {
            "base": "Acknowledge-answer",
            "ISO": "feedback"
        },
        "aa": {
            "base": "Accept",
            "ISO": "agreement"
        },
        "df": {
            "base": "Defending/Explanation",
            "ISO": "inform"
        },
        "e": {
            "base": "Expansions of y/n Answers",
            "ISO": "answer"
        },
        "%": {
            "base": "Interrupted/Abandoned/Uninterpretable",
            "ISO": None
        },
        "rt": {
            "base": "Rising Tone",
            "ISO": None
        },
        "fg": {
            "base": "Floor Grabber",
            "ISO": "turn"
        },
        "cs": {
            "base": "Offer",
            "ISO": "commissive"
        },
        "ba": {
            "base": "Assessment/Appreciation",
            "ISO": "feedback"
        },
        "bu": {
            "base": "Understanding Check",
            "ISO": "feedback"
        },
        "d": {
            "base": "Declarative-Question",
            "ISO": "propq"
        },
        "na": {
            "base": "Affirmative Non-yes Answers",
            "ISO": "answer"
        },
        "qw": {
            "base": "Wh-Question",
            "ISO": "setq"
        },
        "ar": {
            "base": "Reject",
            "ISO": "disagreement"
        },
        "2": {
            "base": "Collaborative Completion",
            "ISO": None
        },
        "no": {
            "base": "Other Answers",
            "ISO": "answer"
        },
        "h": {
            "base": "Hold Before Answer/Agreement",
            "ISO": "turn"
        },
        "co": {
            "base": "Action-directive",
            "ISO": "directive"
        },
        "qy": {
            "base": "Yes-No-question",
            "ISO": "propq"
        },
        "nd": {
            "base": "Dispreferred Answers",
            "ISO": "answer"
        },
        "j": {
            "base": "Humorous Material",
            "ISO": None
        },
        "bd": {
            "base": "Downplayer",
            "ISO": "apology"
        },
        "cc": {
            "base": "Commit",
            "ISO": "commissive"
        },
        "ng": {
            "base": "Negative Non-no Answers",
            "ISO": "answer"
        },
        "am": {
            "base": "Maybe",
            "ISO": None
        },
        "qrr": {
            "base": "Or-Clause",
            "ISO": "choiceq"
        },
        "fe": {
            "base": "Exclamation",
            "ISO": "feedback"
        },
        "m": {
            "base": "Mimic Other",
            "ISO": None
        },
        "fa": {
            "base": "Apology",
            "ISO": "apology"
        },
        "t": {
            "base": "About-task",
            "ISO": None
        },
        "br": {
            "base": "Signal-non-understanding",
            "ISO": "feedback"
        },
        "aap": {
            "base": "Accept-part",
            "ISO": None
        },
        "qh": {
            "base": "Rhetorical-Question",
            "ISO": "inform"
        },
        "tc": {
            "base": "Topic Change",
            "ISO": "discourse"
        },
        "r": {
            "base": "Repeat",
            "ISO": "inform"
        },
        "t1": {
            "base": "Self-talk",
            "ISO": None
        },
        "t3": {
            "base": "3rd-party-talk",
            "ISO": None
        },
        "bh": {
            "base": "Rhetorical-question Continue",
            "ISO": "propq"
        },
        "bsc": {
            "base": "Reject-part",
            "ISO": None
        },
        "arp": {
            "base": "Misspeak Self-Correction",
            "ISO": None
        },
        "bs": {
            "base": "Reformulate/Summarize",
            "ISO": "feedback"
        },
        "f": {
            "base": "Follow Me",
            "ISO": None
        },
        "qr": {
            "base": "Or-Question",
            "ISO": "choiceq"
        },
        "ft": {
            "base": "Thanking",
            "ISO": "thanking"
        },
        "g": {
            "base": "Tag-Question",
            "ISO": "propq"
        },
        "qo": {
            "base": "Open-Question",
            "ISO": None
        },
        "bc": {
            "base": "Correct-misspeaking",
            "ISO": None
        },
        "by": {
            "base": "Sympathy",
            "ISO": "apology"
        },
        "fw": {
            "base": "Welcome",
            "ISO": "thanking"
        }
    },
    "swda": {
        "sd": {
            "base": "Statement-non-opinion",
            "ISO": "inform"
        },
        "b": {
            "base": "Acknowledge (Backchannel)",
            "ISO": "feedback"
        },
        "sv": {
            "base": "Statement-opinion",
            "ISO": "inform"
        },
        "%": {
            "base": "Uninterpretable",
            "ISO": None
        },
        "aa": {
            "base": "Agree/Accept",
            "ISO": "agreement"
        },
        "ba": {
            "base": "Appreciation",
            "ISO": "feedback"
        },
        "qy": {
            "base": "Yes-No-Question",
            "ISO": "propq"
        },
        "ny": {
            "base": "Yes Answers",
            "ISO": "answer"
        },
        "fc": {
            "base": "Conventional-closing",
            "ISO": "discourse"
        },
        "qw": {
            "base": "Wh-Question",
            "ISO": "setq"
        },
        "nn": {
            "base": "No Answers",
            "ISO": "answer"
        },
        "bk": {
            "base": "Response Acknowledgement",
            "ISO": "feedback"
        },
        "h": {
            "base": "Hedge",
            "ISO": "answer"
        },
        "qy^d": {
            "base": "Declarative Yes-No-Question",
            "ISO": "propq"
        },
        "bh": {
            "base": "Backchannel in Question Form",
            "ISO": "propq"
        },
        "^q": {
            "base": "Quotation",
            "ISO": None
        },
        "bf": {
            "base": "Summarize/Reformulate",
            "ISO": "feedback"
        },
        "fo": {
            "base": "Other forward-looking functions",
            "ISO": "commissive"
        },
        "by": {
            "base": "Sympathy",
            "ISO": "apology"
        },
        "fw": {
            "base": "Welcome",
            "ISO": "thanking"
        },
        "o_\"_bc": {
            "base": "Other",
            "ISO": None
        },
        "na": {
            "base": "Affirmative Non-yes Answers",
            "ISO": "answer"
        },
        "ad": {
            "base": "Action-directive",
            "ISO": "directive"
        },
        "^2": {
            "base": "Collaborative Completion",
            "ISO": None
        },
        "b^m": {
            "base": "Repeat-phrase",
            "ISO": "feedback"
        },
        "qo": {
            "base": "Open-Question",
            "ISO": None
        },
        "qh": {
            "base": "Rhetorical-Question",
            "ISO": "inform"
        },
        "^h": {
            "base": "Hold Before Answer/Agreement",
            "ISO": "turn"
        },
        "ar": {
            "base": "Reject",
            "ISO": "disagreement"
        },
        "ng": {
            "base": "Negative Non-no Answers",
            "ISO": "answer"
        },
        "br": {
            "base": "Signal-non-understanding",
            "ISO": "feedback"
        },
        "no": {
            "base": "Other Answers",
            "ISO": "answer"
        },
        "fp": {
            "base": "Conventional-opening",
            "ISO": "discourse"
        },
        "qrr": {
            "base": "Or-Clause",
            "ISO": "choiceq"
        },
        "arp_nd": {
            "base": "Dispreferred Answers",
            "ISO": "answer"
        },
        "t3": {
            "base": "3rd-party-talk",
            "ISO": None
        },
        "oo": {
            "base": "Offers",
            "ISO": "directive"
        },
        "co_cc": {
            "base": "Options Commits",
            "ISO": "commissive"
        },
        "aap_am": {
            "base": "Maybe/Accept-part",
            "ISO": None
        },
        "t1": {
            "base": "Downplayer",
            "ISO": "apology"
        },
        "bd": {
            "base": "Self-talk",
            "ISO": None
        },
        "^g": {
            "base": "Tag-Question",
            "ISO": "propq"
        },
        "qw^d": {
            "base": "Declarative Wh-Question",
            "ISO": "setq"
        },
        "fa": {
            "base": "Apology",
            "ISO": "apology"
        },
        "ft": {
            "base": "Thanking",
            "ISO": "thanking"
        }
    },
    "frames": {
        "inform": {
            "base": "Inform",
            "ISO": "inform"
        },
        "sorry": {
            "base": "Sorry",
            "ISO": "apology"
        },
        "suggest": {
            "base": "Suggest",
            "ISO": "directive"
        },
        "negate": {
            "base": "Negate",
            "ISO": "disagreement"
        },
        "thankyou": {
            "base": "Thank you",
            "ISO": "thanking"
        },
        "greeting": {
            "base": "Greeting",
            "ISO": "greeting"
        },
        "request": {
            "base": "Request",
            "ISO": "directive"
        },
        "switch_frame": {
            "base": "Switch Frame",
            "ISO": None
        },
        "offer": {
            "base": "Offer",
            "ISO": "commissive"
        },
        "request_alts": {
            "base": "Request Alternative",
            "ISO": "directive"
        },
        "null": {
            "base": "Other",
            "ISO": None
        },
        "goodbye": {
            "base": "Goodbye",
            "ISO": "goodbye"
        },
        "moreinfo": {
            "base": "Request More information",
            "ISO": "directive"
        },
        "no_result": {
            "base": "No Result",
            "ISO": None
        },
        "affirm": {
            "base": "Affirm",
            "ISO": "answer"
        },
        "request_compare": {
            "base": "Request Compare",
            "ISO": "directive"
        },
        "confirm": {
            "base": "Confirm",
            "ISO": "answer"
        },
        "hearmore": {
            "base": "Hear More",
            "ISO": None
        },
        "canthelp": {
            "base": "Can not help",
            "ISO": None
        },
        "you_are_welcome": {
            "base": "Welcome",
            "ISO": "thanking"
        },
        "reject": {
            "base": "Reject",
            "ISO": "disagreement"
        }
    },
    "dyda": {
        "commissive": {
            "base": "Commissive",
            "ISO": "commissive"
        },
        "directive": {
            "base": "Directive",
            "ISO": "directive"
        },
        "inform": {
            "base": "Inform",
            "ISO": "inform"
        },
        "question": {
            "base": "Question",
            "ISO": None
        }
    },
    "dstc3": {
        "welcomemsg": {
            "base": "Welcome",
            "ISO": "thanking"
        },
        "inform": {
            "base": "Inform",
            "ISO": "inform"
        },
        "select": {
            "base": "Select",
            "ISO": None
        },
        "expl-conf": {
            "base": "Explicit Confirmation",
            "ISO": "answer"
        },
        "affirm": {
            "base": "Affirmation",
            "ISO": "answer"
        },
        "canthelp": {
            "base": "Can not help",
            "ISO": None
        },
        "request": {
            "base": "Request",
            "ISO": "directive"
        },
        "bye": {
            "base": "Goodbye",
            "ISO": "goodbye"
        },
        "offer": {
            "base": "Offer",
            "ISO": "commissive"
        },
        "thankyou": {
            "base": "Thank you",
            "ISO": "thanking"
        },
        "negate": {
            "base": "Negate",
            "ISO": "disagreement"
        },
        "null": {
            "base": "Other",
            "ISO": None
        },
        "reqalts": {
            "base": "Request Alternative",
            "ISO": "directive"
        },
        "canthelp.missing_slot_value": {
            "base": "Can not help",
            "ISO": None
        },
        "restart": {
            "base": "Restart",
            "ISO": None
        },
        "ack": {
            "base": "Acknowledge",
            "ISO": "feedback"
        },
        "reqmore": {
            "base": "Request More",
            "ISO": "directive"
        },
        "confirm": {
            "base": "Confirm",
            "ISO": "answer"
        },
        "hello": {
            "base": "Hello",
            "ISO": "greeting"
        },
        "repeat": {
            "base": "Repeat",
            "ISO": "inform"
        },
        "deny": {
            "base": "Deny",
            "ISO": "answer"
        }
    },
    "dstc8-sgd": {
        "INFORM": {
            "base": "Inform",
            "ISO": "inform"
        },
        "REQUEST": {
            "base": "Request",
            "ISO": "directive"
        },
        "CONFIRM": {
            "base": "Confirm",
            "ISO": "answer"
        },
        "AFFIRM": {
            "base": "Affirmation",
            "ISO": "answer"
        },
        "NOTIFY_FAILURE": {
            "base": "Notify Failure",
            "ISO": "inform"
        },
        "THANK_YOU": {
            "base": "Thank you",
            "ISO": "thanking"
        },
        "REQ_MORE": {
            "base": "Request More",
            "ISO": "directive"
        },
        "NEGATE": {
            "base": "Negate",
            "ISO": "disagreement"
        },
        "GOODBYE": {
            "base": "Goodbye",
            "ISO": "goodbye"
        },
        "NOTIFY_SUCCESS": {
            "base": "Notify Success",
            "ISO": "inform"
        },
        "INFORM_INTENT": {
            "base": "Inform Intention",
            "ISO": "commissive"
        },
        "OFFER": {
            "base": "Offer",
            "ISO": "commissive"
        },
        "SELECT": {
            "base": "Select",
            "ISO": None
        },
        "OFFER_INTENT": {
            "base": "Offer Intent",
            "ISO": "commissive"
        },
        "NEGATE_INTENT": {
            "base": "Negate Intent",
            "ISO": "disagreement"
        },
        "REQUEST_ALTS": {
            "base": "Request Alternatives",
            "ISO": "directive"
        },
        "AFFIRM_INTENT": {
            "base": "Affirm Intent",
            "ISO": "answer"
        }
    }
}

class DAISOConfig(datasets.BuilderConfig):
    """BuilderConfig for DAISO."""

    def __init__(self, label_classes, features, data_url, citation, url, **kwargs):
        """BuilderConfig for DAISO.
        Args:
          features: `list[string]`, list of the features that will appear in the
            feature dict. Should not include "label".
          data_url: `string`, url to download the csv file from.
          citation: `string`, citation for the data set.
          url: `string`, url for information about the data set.
          label_classes: `list[string]`, the list of classes for the label if the
            label is present as a string. Non-string labels will be cast to either
            'False' or 'True'.
          **kwargs: keyword arguments forwarded to super.
        """
        super(DAISOConfig, self).__init__(version=_VERSION, **kwargs)
        self.label_classes = label_classes
        self.features = features
        self.data_url = data_url
        self.citation = citation
        self.url = url


# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
class DAISO(datasets.GeneratorBasedBuilder):
    """TODO: Short description of my dataset."""

    # This is an example of a dataset with multiple configurations.
    # If you don't want/need to define several sub-sets in your dataset,
    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.

    # If you need to make complex sub-parts in the datasets with configurable options
    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
    # BUILDER_CONFIG_CLASS = MyBuilderConfig

    # You will be able to load one or the other configurations in the following list with
    # data = datasets.load_dataset('my_dataset', 'first_domain')
    # data = datasets.load_dataset('my_dataset', 'second_domain')
    BUILDER_CONFIGS = [
        DAISOConfig(
            name="ami",
            description=textwrap.dedent(
                """\
                """
            ),
            label_classes=LABELS_MAPPING["ami"],
            features=[
            ],
            data_url={
                "train": _URL + "/ami/train.csv",
                "test": _URL + "/ami/test.csv",
            },
            citation=textwrap.dedent(
                """"""
            ),
            url="",
        ),
        DAISOConfig(
            name="oasis",
            description=textwrap.dedent(
                """\
                """
            ),
            label_classes=LABELS_MAPPING["oasis"],
            features=[
            ],
            data_url={
                "train": _URL + "/oasis/train.csv",
                "dev": _URL + "/oasis/dev.csv",
                "test": _URL + "/oasis/test.csv",
            },
            citation=textwrap.dedent(
                """"""
            ),
            url="",
        ),
        DAISOConfig(
            name="maptask",
            description=textwrap.dedent(
                """\
                """
            ),
            label_classes=LABELS_MAPPING["maptask"],
            features=[
            ],
            data_url={
                "train": _URL + "/maptask/train.csv",
                "dev": _URL + "/maptask/dev.csv",
                "test": _URL + "/maptask/test.csv",
            },
            citation=textwrap.dedent(
                """"""
            ),
            url="",
        ),
        DAISOConfig(
            name="mrda",
            description=textwrap.dedent(
                """\
                """
            ),
            label_classes=LABELS_MAPPING["mrda"],
            features=[
            ],
            data_url={
                "train": _URL + "/mrda/train.csv",
                "dev": _URL + "/mrda/dev.csv",
                "test": _URL + "/mrda/test.csv",
            },
            citation=textwrap.dedent(
                """"""
            ),
            url="",
        ),
        DAISOConfig(
            name="swda",
            description=textwrap.dedent(
                """\
                """
            ),
            label_classes=LABELS_MAPPING["swda"],
            features=[
            ],
            data_url={
                "train": _URL + "/swda/train.csv",
                "dev": _URL + "/swda/dev.csv",
                "test": _URL + "/swda/test.csv",
            },
            citation=textwrap.dedent(
                """"""
            ),
            url="",
        ),
        DAISOConfig(
            name="frames",
            description=textwrap.dedent(
                """\
                """
            ),
            label_classes=LABELS_MAPPING["frames"],
            features=[
            ],
            data_url={
                "train": _URL + "/frames/train.csv",
                "test": _URL + "/frames/test.csv",
            },
            citation=textwrap.dedent(
                """"""
            ),
            url="",
        ),
        DAISOConfig(
            name="dyda",
            description=textwrap.dedent(
                """\
                """
            ),
            label_classes=LABELS_MAPPING["dyda"],
            # {"commissive": {
            #     "base": "Commissive",
            #     "ISO": "commissive"
            # },
            #     "directive": {
            #         "base": "Directive",
            #         "ISO": "directive"
            #     },
            #     "inform": {
            #         "base": "Inform",
            #         "ISO": "inform"
            #     },
            #     "question": {
            #         "base": "Question",
            #         "ISO": None
            #     }
            # },
            features=[
                "Utterance",
                "Dialogue_Act",
                "Emotion",
                "Dialogue_ID",
                "Dialogue_Act_ISO"
            ],
            data_url={
                "train": _URL + "/dyda/train.csv",
                "dev": _URL + "/dyda/dev.csv",
                "test": _URL + "/dyda/test.csv",
            },
            citation=textwrap.dedent(
                """\
            @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}
            }"""
            ),
            url="http://yanran.li/dailydialog.html",
        ),
        DAISOConfig(
            name="dstc3",
            description=textwrap.dedent(
                """\
                """
            ),
            label_classes=LABELS_MAPPING["dstc3"],
            features=[
            ],
            data_url={
                "train": _URL + "/dstc3/train.csv",
                "test": _URL + "/dstc3/test.csv",
            },
            citation=textwrap.dedent(
                """"""
            ),
            url="",
        ),
        DAISOConfig(
            name="dstc8-sgd",
            description=textwrap.dedent(
                """\
                """
            ),
            label_classes=LABELS_MAPPING["dstc8-sgd"],
            features=[
            ],
            data_url={
                "train": _URL + "/dstc8-sgd/train.csv",
                "dev": _URL + "/dstc8-sgd/dev.csv",
                "test": _URL + "/dstc8-sgd/test.csv",
            },
            citation=textwrap.dedent(
                """"""
            ),
            url="",
        ),

    ]

    DEFAULT_CONFIG_NAME = "dyda"  # It's not mandatory to have a default configuration. Just use one if it make sense.

    def _info(self):
        # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
        features = {feature: datasets.Value("string") for feature in self.config.features}
        if self.config.label_classes:
            features["Label"] = datasets.features.ClassLabel(names=list(self.config.label_classes.keys()))
            features["Label_ISO"] = datasets.features.ClassLabel(
                names=list(set([map.get("ISO") for map in self.config.label_classes.values()])))
        features["Idx"] = datasets.Value("int32")
        # if self.config.name == "":  # This is the name of the configuration selected in BUILDER_CONFIGS above
        #     features = datasets.Features(
        #         {
        #             "sentence": datasets.Value("string"),
        #             "option1": datasets.Value("string"),
        #             "answer": datasets.Value("string")
        #             # These are the features of your dataset like images, labels ...
        #         }
        #     )
        return datasets.DatasetInfo(
            # This is the description that will appear on the datasets page.
            description=_DAISO_DESCRIPTION,
            # This defines the different columns of the dataset and their types
            features=datasets.Features(features),
            # Here we define them above because they are different between the two configurations
            # Homepage of the dataset for documentation
            homepage=self.config.url,
            # License for the dataset if available
            # license=_LICENSE,
            # Citation for the dataset
            citation=self.config.citation + "\n" + _DAISO_CITATION,
        )

    def _split_generators(self, dl_manager):
        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name

        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
        data_files = dl_manager.download(self.config.data_url)
        splits = []
        if "train" in data_files:
            splits.append(datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "file": data_files["train"],
                    "split": "train",
                },
            ))
        if "dev" in data_files:
            splits.append(datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "file": data_files["dev"],
                    "split": "dev",
                },
            ))
        if "test" in data_files:
            splits.append(datasets.SplitGenerator(
                name=datasets.Split.TEST,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={
                    "file": data_files["test"],
                    "split": "test"
                },
            ))
        return splits

    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
    def _generate_examples(self, file, split):
        # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
        df = pd.read_csv(file, delimiter=",", header=0, quotechar='"', dtype=str)[
            self.config.features
        ]

        rows = df.to_dict(orient="records")

        for n, row in enumerate(rows):
            example = row
            example["Idx"] = n

            if "Dialogue_Act" in example:
                label = example["Dialogue_Act"]
                example["Label"] = label
                example["Label_ISO"] = self.config.label_classes.get(label, {}).get("ISO")

            yield example["Idx"], example