Datasets:
Read Parquet document from file metadata
Browse files
README.md
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@@ -81,7 +81,7 @@ import json
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from huggingface_hub import hf_hub_download
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import pyarrow.parquet as pq
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path = hf_hub_download("astro-legacy-archive/msam-released-products", "jun95__var_2_cmbr.parquet", repo_type="dataset")
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print(json.loads(pq.
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```
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```text
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@@ -112,7 +112,7 @@ member SHA-256, and description are in the JSON document at Parquet schema
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metadata key `dense_matrix`. For every observation and beam-map configuration,
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the corresponding details and every field's description, unit, role, and source
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position are in `statistical_product`; read
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`json.loads(pq.
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This is the canonical machine-readable route for all 38 configurations.
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## Provenance
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from huggingface_hub import hf_hub_download
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import pyarrow.parquet as pq
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path = hf_hub_download("astro-legacy-archive/msam-released-products", "jun95__var_2_cmbr.parquet", repo_type="dataset")
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print(json.loads(pq.read_metadata(path).metadata[b"dense_matrix"])["array"]["shape"])
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```
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```text
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metadata key `dense_matrix`. For every observation and beam-map configuration,
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the corresponding details and every field's description, unit, role, and source
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position are in `statistical_product`; read
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`json.loads(pq.read_metadata(path).metadata[b"statistical_product"])["fields"]`.
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This is the canonical machine-readable route for all 38 configurations.
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## Provenance
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