Validation-set generation dumps for the 4 RLVR model groups in our Code-Switched RLVR analysis. Distributed as raw jsonl, path-compatible with the original on-disk layout used by our analysis code.

This dataset is private. Reviewers should request access from the maintainer and then export a read-scoped HUGGINGFACE_HUB_TOKEN before downloading.

External users running the analysis suite can:

# (0) Auth (token with read scope on this repo):
huggingface-cli login         # or: export HUGGINGFACE_HUB_TOKEN=hf_...

# (1) Download to a local dir
huggingface-cli download navvh/cs-rlvr-val-generations --repo-type dataset \
    --local-dir $HOME/cs_rlvr_val_gen

# (2) Point the analysis suite at it (in analysis_paper/.env)
GG_KO_VG_ROOT=$HOME/cs_rlvr_val_gen/hf_valgen
GG_SW_VG_ROOT=$HOME/cs_rlvr_val_gen/sw-cyber-smollm
GG_MED_VG_ROOT=$HOME/cs_rlvr_val_gen/qw25-med
GG_LCMED_VG_ROOT=$HOME/cs_rlvr_val_gen/lc-med
GG_SW_CYBER_ROOT=$HOME/cs_rlvr_val_gen/sw-cyber-smollm
GG_QW25_MED_ROOT=$HOME/cs_rlvr_val_gen/qw25-med
GG_LC_MED_ROOT=$HOME/cs_rlvr_val_gen/lc-med

Family	Path	Files	Group
KO smollm3 cyber (5 RLVR variants + Base)	`hf_valgen/`	6	representation, gemba_mtq
SW smollm3 cyber (5 RLVR variants)	`sw-cyber-smollm/`	10	surface_alignment, gemba_mtq
Qwen2.5 medical KO (5 RLVR variants)	`qw25-med/`	5	surface_alignment, gemba_mtq
Llama-3.2 medical KO (4 RLVR variants)	`lc-med/`	4	surface_alignment, gemba_mtq

Best steps (per group) match the analysis suite's STEP_FILES / SW_VG_PATHS / MED_VG_PATHS / LCMED_VG_PATHS.

Schema

Each jsonl row is one validation example. Common keys:

input — fully-rendered chat prompt (system + user + assistant scaffold)
output — model generation (may include <think>...</think> block)
gts — ground-truth answer letter (A/B/C/D) for MCQ benches
acc — boolean correctness (parsed by the training pipeline)
bench metadata depends on the source training run

The SW family ships two files per variant: val_generations_step<N>.jsonl (English side) and val_generations_step<N>_sw.jsonl (Swahili side).

Code: https://oss.navercorp.com/HyperscaleAI/cs-golden-goose (private)
Analysis: see analysis_paper/
Companion ckpts (KO group only): navvh/{mono_en,mono_ko,bi_mono_mix,crosslingual_full_mix,6way_cs,cs_only}_smollm3-3b

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Total file size:

3.85 GB

Datasets:

navvh
/

cs-rlvr-val-generations

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Code-Switched RLVR — Validation Generations

Contents

Schema

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