Update dataset card: ExeBench-FHD name, anonymous repo id
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README.md
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@@ -90,9 +90,9 @@ from datasets import load_dataset
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# Pass data_files so only that split's shards are downloaded
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# (split= alone downloads every split before selecting one).
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test = load_dataset("
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# The training splits are large - stream them rather than downloading:
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train = load_dataset("
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```
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All columns are typed Arrow columns; no decoding is needed for the
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# Pass data_files so only that split's shards are downloaded
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# (split= alone downloads every split before selecting one).
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test = load_dataset("<anonymous-repo-id>", data_files="test_real-*.parquet", split="train")
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# The training splits are large - stream them rather than downloading:
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train = load_dataset("<anonymous-repo-id>", split="train_real_compilable", streaming=True)
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```
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All columns are typed Arrow columns; no decoding is needed for the
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