Kral 689820af4d Baseline shortened: 11-task subset (1 per category + T01), max_tokens 16384, settings in README; baseline_chain.sh ...

Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014aUaQeLnwbb1zTpN7kHeat

2026-10-03 22:36:00 +02:00

docs

Stage 1 data: strict version dedup (older v* vs next newer v*); counts updated

2026-10-03 22:23:04 +02:00

harness

Baseline shortened: 11-task subset (1 per category + T01), max_tokens 16384, settings in README; baseline_chain.sh

2026-10-03 22:36:00 +02:00

tasks

Runner: G2 finds the FUNCTION statement after local classes; budget floor applied to all tasks

2026-10-03 18:25:30 +02:00

tasks_gen/eval

G0181 failure analysis (int8 in SALV), W7B results

2026-10-03 19:16:56 +02:00

train

Baseline shortened: 11-task subset (1 per category + T01), max_tokens 16384, settings in README; baseline_chain.sh

2026-10-03 22:36:00 +02:00

.env.example

Harness: runner, generator, tasks T01 T13 T14 T15, CLAUDE.md

2026-10-02 21:42:51 +02:00

.gitignore

Stage 1 step 1: prepare.py, real corpus numbers (SAP-samples/abap-cheat-sheets)

2026-10-03 21:58:04 +02:00

CLAUDE.md

Budget: real ratio ledger/2.7 (Ollama page 24.63 USD)

2026-10-03 20:11:45 +02:00

package-lock.json

Harness: runner, generator, tasks T01 T13 T14 T15, CLAUDE.md

2026-10-02 21:42:51 +02:00

package.json

Harness: runner, generator, tasks T01 T13 T14 T15, CLAUDE.md

2026-10-02 21:42:51 +02:00

Description

ABAP LLM Training

2.4 MiB

Languages

ABAP 90.6%

Python 6.3%

ABAP CDS 3%

Shell 0.1%