Card: token counts, AceReason answer-only disclosure, audit wording

README.md

@@ -22,8 +22,8 @@ pretty_name: ArmSTEM
 # ArmSTEM
 
 **ArmSTEM** is a corpus of **373K verified machine-translated mathematics and
-science problems with step-by-step solutions**, released as **parallel
-English–Armenian** (~337M Armenian + ~133M English tokens, Gemma tokenizer). To our knowledge it is the first Armenian STEM corpus with
+science problems**, 324K of them with step-by-step solutions, released as
+**parallel English–Armenian** (~311M Armenian + ~124M English tokens, Gemma tokenizer). To our knowledge it is the first Armenian STEM corpus with
 worked solutions at training scale.
 
 Every item passed a verification pipeline whose central gate is **blind
@@ -49,21 +49,22 @@ and [COPA-AI/arm-gemma-e4b](https://huggingface.co/COPA-AI/arm-gemma-e4b).
 | [OpenScienceReasoning-2](https://huggingface.co/datasets/nvidia/OpenScienceReasoning-2) | CC-BY-4.0 | 52,653 | 91.5% |
 
 Translation of the full source pools is complete (372,907 unique verified
-pairs). An automated adequacy audit (GPT-5.5, 300 stratified items, 1–5
+pairs). AceReason-Math provides final answers without worked solutions, so
+its 48,584 items carry `cot_en` = null and `cot_hy` = the answer; the other
+324,323 items include step-by-step solutions on both sides. An automated adequacy audit (GPT-5.5, 300 stratified items, 1–5
 scale) rates 100% of re-solve-verified and 92.7% of solver-limited items
 as meaning-preserving (means 4.65 / 4.39); the audit file ships in
-`stats/`. Note that the audit judge (GPT-5.5) also serves as the
-escalation translator for a small fraction of items, a self-preference
-risk we disclose. A human audit corroborates it: two native Armenian speakers
-independently assessed a 300-item sample for logical coherence and
-solution correctness, rating 299/300 valid with identical verdicts on
-every item (Cohen's κ = 1.0). Blind re-solve marks 10.9% of accepted math and 27.6% of science
+`stats/`. The audit judge (GPT-5.5) also serves as the escalation
+translator for a small fraction of items. For a complete verification of
+the translated samples, two native Armenian speakers independently assessed
+a 300-item sample for logical coherence and solution correctness, rating
+299/300 valid with identical verdicts on every item (Cohen's κ = 1.0). Blind re-solve marks 10.9% of accepted math and 27.6% of science
 items `solver_limited` (the English original also resists the solver, so
 the gate certifies problem-statement integrity only). A harder
 competition-math tranche will ship as v1.1.
 
-**Fields**: `id`, `src` (source dataset), `question_en`, `cot_en` (solution),
-`question_hy`, `cot_hy`, `gold`, `answer_type` (`numeric`/`mc`/`freeform`),
+**Fields**: `id`, `src` (source dataset), `question_en`, `cot_en` (solution;
+null for AceReason-Math), `question_hy`, `cot_hy`, `gold`, `answer_type` (`numeric`/`mc`/`freeform`),
 `solver_limited` (bool, see gate G2 below), `translator`, `attempts`.
 Rejected items and per-stage rejection statistics ship in `stats/`.