source string | source_revision string | source_report_sha256 string | source_rows_sha256 string | tokenizer_name string | tokenizer_revision string | eos_token_id int64 | seed int64 | generation_batch_size int64 | source_conditional_entropy_nats float64 | training_window_entropy_nats float64 | evaluation_kind string | note string | tokens int64 | cache_entries int64 | tokenizer_size int64 | packing string | row_length int64 | windows_per_source_row int64 | context_length int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
synthetic_empirical_support_power_decay_trigram | d7f3a988eb899cb13ed596fcb74c397c594d85257250d40c85b3989ac298514a | d7f3a988eb899cb13ed596fcb74c397c594d85257250d40c85b3989ac298514a | ef2c0a9645bcf5f758a97274b5b62473700a1f71b545a882fc7036bf1f831565 | eoinf/pile_tokenizer_4096 | 155b268a49b69bac2543a3eb0acb635cef3dc4b0 | 2 | 40 | 512 | 3.571402 | 3.5765 | training_sample | Same 1025-to-257 source-row packing as historical empirical trigrams; synthetic source changes. Training-sample evaluation is not held out. | 199,999,488 | 781,248 | 4,096 | Subwindows of independent source rows; 257 tokens and 256 scored targets per window | 1,025 | 4 | 256 |
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Check out the documentation for more information.
Exact experiment data archive
Archive of exact NumPy caches, split metadata and available generator/source files. No re-sampling or train/test relabeling is performed. Split metadata records seeds, tokenizer/source revisions and packing. A training-data evaluation remains a training-data evaluation; independently sampled synthetic tests are distinct from held-out natural-language documents. dataset_manifest.json records checksums; experiment_configs/ records the consuming experiments.
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