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CoT-Faithfulness-Risk-Dataset

Simulated chain-of-thought faithfulness (perturbation-test-style) for 1200 configurations across five India-relevant reasoning tasks, five CoT methods, bias presence, and reasoning-step count, grounded in Turpin et al's unfaithful-explanation findings and Anthropic's perturbation-based faithfulness metrics. Forward-looking task predicts unfaithfulness from just a few cheap perturbation probes.

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updated 12 Aug 2026

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COVERAGE India

LICENSE Attribution 4.0 International (CC BY- 4.0)

FORMAT Synthetic

TYPE Structured

SECTOR Science, Technology and Research

UPDATES NA

About Dataset

Simulates whether a model's stated reasoning causally determines its answer versus being post-hoc rationalization, via Lanham et al's perturbation-test methodology. 1200 configs across five tasks (three India-relevant: vernacular commonsense QA, legal clause interpretation, loan eligibility explanation), five methods (free CoT, zero-shot CoT, self-consistency, selection-inference, question decomposition). Ten sources (2022–2023) — two are Anthropic arXiv papers with peer-review status flagged honestly.

Dataset Metadata

License

Attribution 4.0 International (CC BY- 4.0)

Sector

Science, Technology and Research

Author

Jai Mali

Source Organisation

Symbiosis Skills and Professional University

Uploaded By

Data Quality Score (Beta)

4.5

Dataset Type

Structured

Data Type

Synthetic

Task Category

N.A.

Time Granularity

NA

Frequency

NA

Geographic Granularity

N.A.

Primary Key / Indicator

N.A.

Data Collection Method

Manually curated

Language

N.A.

Year Range

N.A.

Date & Time

08/08/26 12:46:19

Visibility

Open

Hosted / Redirected

Hosted

Tags

Large Language Model

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