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After dataset generation, the output file has total of 32 tf-record files in train and 8 in val, which is expected.
But in reality, the number of shards is only 25 for some reason and some shards are missing (as below). What could be the cause?
dataset folder: (missing some shards)
from dataset_info.json
"splits": [ { "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}", "name": "train", "numBytes": "3124634980", "shardLengths": [ "49", "65", "51", "71", "70", "54", "67", "66", "61", "63", "56", "53", "60", "61", "71", "62", "68", "71", "58", "68", "64", "71", "71", "70", "58" ] }, { "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}", "name": "val", "numBytes": "758231159", "shardLengths": [ "72", "67", "58", "72", "82", "68", "70", "61" ] }
The text was updated successfully, but these errors were encountered:
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After dataset generation, the output file has total of 32 tf-record files in train and 8 in val, which is expected.
But in reality, the number of shards is only 25 for some reason and some shards are missing (as below). What could be the cause?
dataset folder: (missing some shards)

from dataset_info.json
The text was updated successfully, but these errors were encountered: