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from huggingface_hub import hf_hub_download |
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import json |
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dataset_name_list = ['arithmetic_operation/context_arithmetic_operation.json', 'arithmetic_operation/arithmetic_operation.json', |
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'mixed_number_sting/mixed_number_string_500_per_sample.json', |
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'num_list/num_list_500_per_sample_1000_length.json', 'num_list/num_list_500_per_sample_100_length.json', |
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'sequence/sequence_500_sample_100_length.json', |
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'stock/single-turn/stock_500_per_sample_150_length.json', 'stock/single-turn/stock_500_per_sample_300_length.json', 'stock/multi-turn/stock_multi_turn_100_per_sample_100_length.json', |
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'weather/single-turn/weather_500_per_sample_200_length.json', 'weather/single-turn/weather_500_per_sample_400_length.json', 'weather/multi-turn/weather_multi_turn_100_per_sample_100_length.json' |
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] |
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REPO_ID = "TreeAILab/NumericBench" |
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for dataset_name in dataset_name_list: |
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with open(hf_hub_download(repo_id=REPO_ID, filename=dataset_name, repo_type="dataset")) as f: |
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dataset = json.load(f) |
