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import random |
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import sys, os, pdb |
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import json, math |
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import datasets |
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from datasets import load_dataset |
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import csv |
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random.seed(42) |
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DATASETS = { |
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"natural_language_understanding": [ |
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"ATIS", "ATIS-NER", "BANKING77", "BANKING77-OOS", "CLINC-Single-Domain-OOS-banking", |
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"CLINC-Single-Domain-OOS-credit_cards", "CLINC150", "DSTC8-SGD", "HWU64", "MIT-Movie", |
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"MIT-Restaurant", "RESTAURANTS8K", "SNIPS", "SNIPS-NER", "TOP", "TOP-NER" |
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], |
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"task_oriented": [ |
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"ABCD", "AirDialogue", "BiTOD", "CaSiNo", "CraigslistBargains", |
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"Disambiguation", "DSTC2-Clean", "FRAMES", "GECOR", "HDSA-Dialog", |
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"KETOD", "KVRET", "MetaLWOZ", "MS-DC", "MuDoCo", |
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"MulDoGO", "MultiWOZ_2.1", "MULTIWOZ2_2", "SGD", "SimJointGEN", |
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"SimJointMovie", "SimJointRestaurant", "STAR", "Taskmaster1", "Taskmaster2", |
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"Taskmaster3", "WOZ2_0" |
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], |
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"dialogue_summarization": [ |
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"AMI", "CRD3", "DialogSum", "ECTSum", "ICSI", |
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"MediaSum", "QMSum", "SAMSum", "TweetSumm", "ConvoSumm", |
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"SummScreen_ForeverDreaming", "SummScreen_TVMegaSite" |
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], |
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"conversational_recommendation": [ |
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"Redial", "DuRecDial-2.0", "OpenDialKG", "SalesBot", |
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], |
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"open_domain": [ |
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"chitchat-dataset", "ConvAI2", "AntiScam", "Empathetic", "HH-RLHF", |
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"PLACES3.5", "Prosocial", "SODA" |
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], |
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"knowledge_grounded": [ |
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"CompWebQ", "CoQA", "CoSQL", "DART", "FeTaQA", |
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"GrailQA", "HybridQA", "MTOP", "MultiModalQA", "SParC", |
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"Spider", "SQA", "ToTTo", "WebQSP", "WikiSQL", |
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"WikiTQ", "wizard_of_internet", "wizard_of_wikipedia" |
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], |
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} |
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class Test(object): |
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def __init__(self): |
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pass |
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def test_single_dataset(self, data_name): |
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dataset = load_dataset("Salesforce/dialogstudio", data_name, revision="download") |
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dataset_size = { |
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"train":0, |
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"validation": 0, |
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"test": 0, |
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} |
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for split in dataset: |
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dataset_size[split] = len(dataset[split]) |
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print(dataset_size) |
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return dataset_size |
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def test_all(self): |
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with open("dataset_stats.csv", "w", newline="") as tf: |
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writer = csv.writer(tf) |
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writer.writerow(["Category", "Data_name", "train", "val", "test"]) |
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for cat, dataset_list in DATASETS.items(): |
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for data_name in dataset_list: |
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dataset_size = self.test_single_dataset(data_name=data_name) |
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writer.writerow([cat, data_name] + list(dataset_size.values())) |
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def main(): |
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test = Test() |
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test.test_single_dataset("Taskmaster2") |
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if __name__ == "__main__": |
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main() |
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