Datasets:
Tasks:
Tabular Classification
Modalities:
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
License:
haneulpark
commited on
Update README.md
Browse files
README.md
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@@ -147,9 +147,10 @@ then, from within python load the datasets library
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and load one of the `HLM_RLM` datasets, e.g.,
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>>> HLM = datasets.load_dataset("maomlab/HLM_RLM", name = "HLM")
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Downloading data: 100%|ββββββββββββββββββββββββββ|
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Generating test split: 100%|βββββββββββββββββββββ| 1131/1131 [00:00<00:00, 20405.98 examples/s]
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Generating train split: 100%|ββββββββββββββββββββ| 4771/4771 [00:00<00:00, 65495.46 examples/s]
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Generating external split: 100%|ββββββββββββββββββββ| 111/111 [00:00<00:00, 3651.94 examples/s]
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and load one of the `HLM_RLM` datasets, e.g.,
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>>> HLM = datasets.load_dataset("maomlab/HLM_RLM", name = "HLM")
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Downloading data: 100%|ββββββββββββββββββββββββββ| 39.7k/39.7kβ[00:00<00:00,β90.8kB/s]
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Generating test split: 100%|βββββββββββββββββββββ| 1131/1131 [00:00<00:00, 20405.98 examples/s]
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Generating train split: 100%|ββββββββββββββββββββ| 4771/4771 [00:00<00:00, 65495.46 examples/s]
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Generating external split: 100%|ββββββββββββββββββββ| 111/111 [00:00<00:00, 3651.94 examples/s]
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