Datasets:
Download example.py from TreeAILab/NumericBench: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/datasets/TreeAILab/NumericBench/resolve/main/example.py
- Command line
-
hf download hf://datasets/TreeAILab/NumericBench/example.py
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curl -L -o example.py https://huggingface.co/datasets/TreeAILab/NumericBench/resolve/main/example.py
1.06 kB
| from huggingface_hub import hf_hub_download | |
| import json | |
| dataset_name_list = ['arithmetic_operation/context_arithmetic_operation.json', 'arithmetic_operation/arithmetic_operation.json', | |
| 'mixed_number_sting/mixed_number_string_500_per_sample.json', | |
| 'num_list/num_list_500_per_sample_1000_length.json', 'num_list/num_list_500_per_sample_100_length.json', | |
| 'sequence/sequence_500_sample_100_length.json', | |
| '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', | |
| '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' | |
| ] | |
| REPO_ID = "TreeAILab/NumericBench" | |
| for dataset_name in dataset_name_list: | |
| with open(hf_hub_download(repo_id=REPO_ID, filename=dataset_name, repo_type="dataset")) as f: | |
| dataset = json.load(f) |