mradermacher/distilgpt2-multiprompt-i1-GGUF
81.9M • Updated • 194
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default config has been updated with better deduplication. It was deduplicated with minhash (params: n-gram size set to 3, deduplication threshold at 0.6, hash function chosen as xxh3 with 32-bit hash bits, and 128 permutations with a batch size of 10,000.) which drops 2+ million rows.config_name="original"default:
DatasetDict({
train: Dataset({
features: ['text', 'src_dataset'],
num_rows: 1677221
})
test: Dataset({
features: ['text', 'src_dataset'],
num_rows: 292876
})
})
For original config:
DatasetDict({
train: Dataset({
features: ['text', 'src_dataset'],
num_rows: 3551734
})
test: Dataset({
features: ['text', 'src_dataset'],
num_rows: 399393
})
})
NOTE: as the other two datasets did not have a validation split, the validation split of succinctly/midjourney-prompts was merged into train.