Datasets:

ceselder
/

easynla-dsv4-warmstart-opus5

Parquet error: Scan size limit exceeded: attempted to read 513949503 bytes, limit is 300000000 bytes Make sure that 1. the Parquet files contain a page index to enable random access without loading entire row groups2. otherwise use smaller row-group sizes when serializing the Parquet files

Error code:   TooBigContentError

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

EasyNLA warm-start for DeepSeek-V4-Flash-0731 — Opus-5 explanations

NLA (Natural Language Autoencoder) warm-start data: DeepSeek-V4-Flash-0731 layer-28 activations (last token of finefineweb prefixes; docs/positions identical to asher577/easynla-warmstart-data) paired with gold explanations written by claude-opus-5 (same instruction prompt as the original Sonnet-4.6 set; thinking disabled, max_tokens 400; 742,661 requests, 62 fallbacks).

Measured effect vs the Sonnet-4.6 explanation set (identical activations, rows, hyperparameters): AR critic held-out FVE 56.6% vs 47.5% after one epoch (+9.1pp; +9.0pp token-matched — Opus explanations are 13.7% longer).

av_sft: verbalizer SFT rows (activation → explanation), 363,961 train / 7,307 val
ar_sft: critic SFT rows (explanation → activation), 363,988 train / 7,405 val
corpus: text-only rows (doc_id, truncated text, Opus-5 explanation) for re-extracting activations on other models
*.nla_meta.yaml: injection char/template contract per parquet

AV/AR train splits are disjoint halves (inherited from the original dataset); for shared-pool training simply concatenate them.

Downloads last month: 305