Karti Tripathi commited on
Commit ·
ec4d505
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Parent(s): 66f5c10
Clarify text detectors and reproducibility in dataset card
Browse files
README.md
CHANGED
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@@ -98,8 +98,9 @@ Each row in `data/*.jsonl` is one episode:
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- **Model input:** `context` and `turns`. Agent turns carry a `decision_point` and no text;
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that is where the model answers.
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- **Answer key:** `family`, `difficulty` and `decisions`. **Never put these in the prompt.**
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- **Customer follow-ups are scripted.** They do not react to the model, so
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`raw/` holds the original two-file layout (`*.tickets.jsonl` = model input,
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`*.targets.jsonl` = answer key, joined by `id`). `policies/policies.md` is the policy pack,
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@@ -123,7 +124,7 @@ The reward is computed in three stages, in this order:
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Over-escalation is penalised as hard as under-escalation. Escalating everything is the easy
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local optimum when a reward is sloppy.
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The full design, including the honest limits of the
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`docs/EVALUATOR.md`. The reference scorer is open source in
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[support-rl](https://github.com/karti-ai/support-rl); `docs/EVALUATOR.md` is its specification. Three worked episodes set the
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quality bar in `docs/GOLD-EXAMPLES.md`.
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@@ -177,8 +178,8 @@ to match it. Every change is listed in `docs/REVIEW-LOG.md`.
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amendments that the SEC approved in April 2026 (Regulatory Notice 26-10, effective
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2026-06-04). The pack is fictional house policy. Do not treat it as current regulation.
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- **English only, text only, one fictional firm.**
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- **
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text detectors with known limits (see `docs/EVALUATOR.md`). The advice detector misses
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indirect recommendations ("it's probably wise to…"). The timeline detector cannot tell
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CMP-04's acknowledgement window from an invented resolution time of the same length.
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- **Model input:** `context` and `turns`. Agent turns carry a `decision_point` and no text;
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that is where the model answers.
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- **Answer key:** `family`, `difficulty` and `decisions`. **Never put these in the prompt.**
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- **Customer follow-ups are scripted.** They do not react to the model, so the customer
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path is fixed. Model serving can still vary at temperature 0; the published results can
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be reproduced offline by re-scoring the saved outputs in [support-rl](https://github.com/karti-ai/support-rl).
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`raw/` holds the original two-file layout (`*.tickets.jsonl` = model input,
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`*.targets.jsonl` = answer key, joined by `id`). `policies/policies.md` is the policy pack,
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Over-escalation is penalised as hard as under-escalation. Escalating everything is the easy
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local optimum when a reward is sloppy.
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The full design, including the honest limits of the three text detectors, is in
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`docs/EVALUATOR.md`. The reference scorer is open source in
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[support-rl](https://github.com/karti-ai/support-rl); `docs/EVALUATOR.md` is its specification. Three worked episodes set the
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quality bar in `docs/GOLD-EXAMPLES.md`.
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amendments that the SEC approved in April 2026 (Regulatory Notice 26-10, effective
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2026-06-04). The pack is fictional house policy. Do not treat it as current regulation.
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- **English only, text only, one fictional firm.**
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- **Three checks use text detectors.** Disclosure before verification, investment advice,
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and unstated timelines are caught by text detectors with known limits (see `docs/EVALUATOR.md`). The advice detector misses
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indirect recommendations ("it's probably wise to…"). The timeline detector cannot tell
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CMP-04's acknowledgement window from an invented resolution time of the same length.
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