Commit History
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fix: normalize explicit TSQA choice labels
9dbdae6 -
Align caption and TSQA evaluation pipelines
592a672
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Caption-scoring pipeline fixes + with-definitions GLM extractor
- Peer extract_metrics_from_caption.py: caption-gate alignment + de-symlink real paths + ChatTS DATASETS filename fix (run_chatts_oos.py / run_chatts_qazh.py) - run_all.sh: neutralize dead ANTHROPIC token line - Add metric_defs.json (169 metric key -> zh explanation) + extract_metrics_withdef.py: GLM-5.1 (temperature=0) caption extractor that gives each metric key WITH its statistical-property explanation; adopted as the headline caption-scoring prompt. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>60d6a4e
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TS-Align benchmark reproduction bundles + canonical eval data + dataset sources
Self-contained per-experiment repro bundles (results/<model>/<benchmark>/run.sh + _infer/), canonical eval inputs (Benchmark_eval/), and third-party benchmark datasets (Benchmarks/: TSQA/ChatTS_test/MTBench/TimeSeriesExam + our TS_Caption_test) with sources in Benchmarks/README.md. Model weights and inference outputs are git-ignored; our two trained models keep a placeholder folder. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>c3efe57