Update the benchmark to load datasets from multiple S3 buckets when None is specified#607
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R-Palazzo wants to merge 13 commits into
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Update the benchmark to load datasets from multiple S3 buckets when None is specified#607R-Palazzo wants to merge 13 commits into
R-Palazzo wants to merge 13 commits into
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R-Palazzo
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amontanez24
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| def _get_dataset_bucket_mapping(modality, buckets, s3_client, skip_inaccessible=False): | ||
| """Map SDV demo dataset names to the bucket they should be loaded from.""" | ||
| dataset_buckets = {} |
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nitpick: can we call dataset_to_bucket
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R-Palazzo
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| """Main SDGym benchmarking module.""" | ||
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| import functools | ||
| import gzip |
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Since the dataset is no longer included in the job_arg_list, we don't need to compress it. Also, it now contains one job by default, and from my tests, it's roughly 1KB.
frances-h
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May 28, 2026
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Resolve #604
CU-86b9zwpcu
This PR includes:
download_demo()to getsdv_dataset. This works for public datasets or for users with SDV-Enterprise installed. Otherwise, because on SDV there is some validation to allow access to the public bucket only, I reused the SDV logic here, so it works if the S3 client is created with valid credentials (from input keys or env variables).download_demo(), we no longer save the dataset locally._generate_job_arg_list: Now we're only passingdataset_infoinside it. Thedataset_infoincludes everything necessary to then download the data and metadata during execution.