Datasets:
Download VALIDATION.md from anonuser73268/IndicBankBench: direct link, hf CLI and curl.
- Browser
- Download file 3.91 kB
-
https://huggingface.co/datasets/anonuser73268/IndicBankBench/resolve/main/VALIDATION.md
- Command line
-
hf download hf://datasets/anonuser73268/IndicBankBench/VALIDATION.md
-
curl -L -o VALIDATION.md https://huggingface.co/datasets/anonuser73268/IndicBankBench/resolve/main/VALIDATION.md
Candidate release validation
This candidate snapshot was checked with the compatible anonymous harness using only offline tests and deterministic mock execution.
Dataset checks
- JSON case files parsed: 799 of 799.
- Unique non-empty
case_idvalues: 799. - Duplicate
case_idvalues: 0. - Required-field and tool-contract lint errors: 0.
- Domains: 6 directory/domain groups (five operational domains plus capability/refusal).
- Primary axes: 20.
- Reference tool definitions: 32.
- Target behaviors: 625
answer, 65clarify, and 109decline. - Largest case file after packaging: 13,069 bytes.
- Files requiring Git LFS under common GitHub/Hugging Face limits: 0.
- Aggregate case-bank SHA-256:
26fed9a4b801dea83defbdd30637d341a32fe0fbe4c57a39ea10d83fc1813956.
The aggregate digest is computed by sorting all case JSON files by POSIX relative path and feeding
their raw bytes, without separators, to SHA-256. The value matches meta.json.
Harness checks
- Fresh editable installation under Python 3.9: passed.
- Exact outer runtime/test dependency snapshot: 33 packages in the companion code repository's
requirements-tested.txt; it matched the verification environment. - Dependency consistency and import checks: passed.
- Unit tests against all packaged cases: 51 passed.
- Targeted tool-contract tests: 24 passed.
- Offline scripted smoke case
acct.show_mandates.happy.001: passed. - Candidate or judge network calls made during tests: none.
Linter findings preserved for review
The case linter scanned all 799 cases with 0 errors, 16 warnings, and 115 informational findings. No benchmark case was changed to suppress these findings.
Warnings:
- 4 dependency-order warnings in
depl.agentic.book_fd.002anddepl.agentic.book_rd.001. The listed gold-call order places a write before declared prerequisites. - 9 order-sensitive-list warnings across argument gates.
- 3 weak-affirmation warnings in
depl.create_fd.irrelevant_rag.001,depl.create_fd.irrelevant_rag.002, anddepl.create_rd.irrelevant_rag.001; these use the confirmation-judge fallback.
Informational findings comprise 114 deliberate or reviewable null values in visible mock
payloads and one duplicated exposed-tool entry in cap.social_engineering.009.
Authoring-metadata removal
Exactly 8,471 approved underscore-prefixed fields were removed recursively: 7,690 _comment,
766 _variant_note, 8 _axis_note, 2 _tool_calls_note, 2 _formula_note, 1
_dependencies_comment, 1 _no_write, and 1 _variant_note_revised.
An invariant comparison against each source JSON object confirmed that no other key, scalar value, object-key order, array length/order, filename, case ID, mock behavior, gold action, grading rule, or case ordering changed. A second parse confirmed that zero approved authoring fields remain. The released cases are semantically equivalent to, but not byte-identical with, the source snapshot.
Identity and secret scan
All proposed dataset release files were scanned for named or institutional identities, identity-bearing repository URLs, local absolute paths, private/internal endpoints, private keys, and high-confidence AWS, GitHub, Hugging Face, OpenAI, Slack, and JWT token formats. No identity, local-path, private-endpoint, credential, or high-confidence secret hits were found.
Localhost matches elsewhere in the code repository are deliberate unauthenticated examples/tests, not private services. The synthetic Gmail value in the case bank is benchmark semantics, not a contributor contact. No dedicated gitleaks, trufflehog, FOSSA, Snyk, or formal legal scan was run.
License scope
CC BY 4.0 applies to the case bank and authored dataset documentation. No third-party model responses, hidden reasoning, transcripts, or judge rationales are included in the anonymous data repository, and no claim is made to relicense such output.