ttj/dataset-ironing-smollm2-135m-ppl
base_data_smolm2_135m_ppl This dataset is a nanochat pretraining parquet dataset annotated with offline per-example perplexity from HuggingFaceTB/SmolLM2-135M. Columns text: original training text. perplexity: per-example perplexity from the fixed reference model. perplexity_num_tokens: number of reference-token prediction targets used. perplexity_nll: mean negative log likelihood before exponentiation. perplexity_reference_model: reference model id used for the… See the full description on the dataset page: https://huggingface.co/datasets/ttj/dataset-ironing-smollm2-135m-ppl.
basedatasmolm2135mppl
This dataset is a nanochat pretraining parquet dataset annotated with offline per-example perplexity from HuggingFaceTB/SmolLM2-135M.
Columns
text: original training text.perplexity: per-example perplexity from the fixed reference model.perplexity_num_tokens: number of reference-token prediction targets used.perplexity_nll: mean negative log likelihood before exponentiation.perplexity_reference_model: reference model id used for the row.
Global Statistics
The global statistics are stored in perplexity_stats.json:
{
"num_examples": 12789760,
"num_finite": 12789760,
"mean": 16.971930903637244,
"std": 8.10952495285045,
"deciles": {
"0.1": 9.473104233607561,
"0.2": 11.27557233495321,
"0.3": 12.72408254281915,
"0.4": 14.077568768709655,
"0.5": 15.460851038454923,
"0.6": 16.983914074862593,
"0.7": 18.8197051905061,
"0.8": 21.31558898948356,
"0.9": 25.69053539187382
},
"min": 1.2803555606074715,
"max": 992.5975294944326,
"reference_model": "HuggingFaceTB/SmolLM2-135M",
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"is_partial": false,
"missing_output_shards": [],
"output_dir": "/home/ttj/.cache/nanochat/base_data_smolm2_135m_ppl",
"perplexity_column": "perplexity",
"token_count_column": "perplexity_num_tokens",
"nll_column": "perplexity_nll"
}Reference context length: 8192.
Input shard count: 240.
