{ | |
"train": { | |
"name": "fashion-mnist-784-euclidean", | |
"size": "29.228 MB", | |
"num_rows": 60000, | |
"num_columns": 2, | |
"schema": { | |
"idx": "int64", | |
"emb": "list<element: float>" | |
}, | |
"num_files": 1 | |
}, | |
"test": { | |
"name": "fashion-mnist-784-euclidean", | |
"size": "4.888 MB", | |
"num_rows": 10000, | |
"num_columns": 2, | |
"schema": { | |
"idx": "int64", | |
"emb": "list<element: float>" | |
}, | |
"num_files": 1 | |
}, | |
"neighbors": { | |
"name": "fashion-mnist-784-euclidean", | |
"size": "72.713 MB", | |
"num_rows": 10000, | |
"num_columns": 8, | |
"schema": { | |
"idx": "int64", | |
"neighbors_id": "list<element: int64>", | |
"neighbors_distance": "list<element: double>", | |
"metric": "string", | |
"query_expr": "null", | |
"pk_field_name": "string", | |
"vector_field_name": "string", | |
"top_k": "int64" | |
}, | |
"num_files": 1 | |
} | |
} |