Claim LD06-SL-C11 (v1.0)
An analysis of MMLU found that 28% of its questions require culturally sensitive knowledge and that 84.9% of its geography questions concern North America or Europe; model rankings change depending on whether the culturally sensitive questions are included, so machine-translated versions distort multilingual comparisons.
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- Who builds and checks China's compliance test banks for generative AI?Benchmark content reflects where it was made, which bears on comparing Chinese and Western safety testing.
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (INSTITUTIONAL_POSITION) (as printed: “ELIGIBLE WITH INSTITUTIONAL-POSITION QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (ABSTRACT_ONLY) (as printed: “CONTENT VERIFIED ABSTRACT”; verified by: UNKNOWN)
- Does not license
- A judgement on multilingual benchmarks other than MMLU
- Source (field 6, as printed)
- Singh, Romanou, Fourrier, Adelani, Ngui, Vila-Suero et al., “Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation,” arXiv:2412.03304 (v2), 2025
- Source type (field 7)
- PREPRINT (as printed: “Preprint”)
- Institutional position
- AI developer-affiliated research lab (Cohere For AI) with academic co-authors
- Maturity (claim evidence / publication maturity)
- EMERGING (as printed: “EMERGING”)
- Recorded date
- 2026-10-15
- Currentness / correction
- This is the current version. No correction or concern relation is recorded on its Sources.
Version
Current version v1.0, resolved through the explicit current pointer CLAIM--LD06-SL-C11.
Pinned Sources (field 6, version-specific)
- “Singh, Romanou, Fourrier, Adelani, Ngui, Vila-Suero et al., “Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation,” arXiv:2412.03304 (v2), 2025” → SRC-SL-SINGH-ET-AL-GLOBAL-MMLU-ARXIV-2412-03304--v1.0 — Singh, Romanou, Fourrier, Adelani, Ngui, Vila-Suero et al., “Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation,” arXiv:2412.03304 (v2), 2025; class PREPRINT (explicit public provenance pin)
All 25 canonical Claim fields (raw values and normalized values)
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD06-SL-C11 | — |
| 2 | PUBLIC-FACING CLAIM | An analysis of MMLU found that 28% of its questions require culturally sensitive knowledge and that 84.9% of its geography questions concern North America or Europe; model rankings change depending on whether the culturally sensitive questions are included, so machine-translated versions distort multilingual comparisons. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | A — Benchmark validity and measurement | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Singh, Romanou, Fourrier, Adelani, Ngui, Vila-Suero et al., “Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation,” arXiv:2412.03304 (v2), 2025 | source_ids: SRC-SL-SINGH-ET-AL-GLOBAL-MMLU-ARXIV-2412-03304 |
| 7 | SOURCE TYPE | Preprint | classes: PREPRINT |
| 8 | INSTITUTIONAL POSITION | AI developer-affiliated research lab (Cohere For AI) with academic co-authors | — |
| 9 | SCOPE | MMLU and translations into 42 languages | — |
| 10 | DESIGN | Annotation of cultural and regional knowledge; evaluation of models on full and subset versions | — |
| 11 | SAMPLE / DATASET | MMLU questions, annotated by professional and community annotators | — |
| 12 | MODEL / TOOL / VERSION | State-of-the-art open and proprietary models as of late 2024 | — |
| 13 | COMPARATOR | Culturally sensitive versus culturally agnostic subsets | — |
| 14 | MAIN RESULT | 28% of questions culturally sensitive; 84.9% of geographic questions North American or European; rankings shift between subsets | — |
| 15 | INFERENTIAL TARGET | Whether an English-made benchmark measures the same thing across languages and regions | — |
| 16 | DOES NOT LICENSE | A judgement on multilingual benchmarks other than MMLU | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED ABSTRACT | state: CONTENT_VERIFIED_PRIMARY · qualifiers: ABSTRACT_ONLY · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Read in abstract only; authors’ lab develops models; the full text, checked for this point only, estimates the 28% from a 2,850-question annotated sample | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | Compare the cultural biases found in ThaiExam: LD06-SL-C01 | — |
| 20 | GEOGRAPHY / LANGUAGE | Global / multilingual | — |
| 21 | DISTRIBUTIONAL LEDGER | Benchmark content favours Western-centric knowledge | — |
| 22 | R01 / FIELD-MAP LINKS | LD-06, D4b | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Evidence that rankings are stable across culturally balanced subsets | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH INSTITUTIONAL-POSITION QUALIFIER | state: ELIGIBLE · qualifiers: INSTITUTIONAL_POSITION |
| 25 | RECORDED DATE | 2026-10-15 | — |
Field 22 references resolved against Field Map v0.2: LD-06 (LIVING_DEBATE); D4b (SUB_AREA)
Cited by Living Debate versions
Research-of-record provenance
Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 8df269b8f82b90254ab17156b224cc2748f7fd1235eb1d6ff15960cb81066fa2.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD06-SL-C11 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts. Block “ENTRY 11 — LD06-SL-C11” SHA-256
35aa7646005730608728aeabc230d89c2f2784692e6cdbab60665a4ed980ee75; fixturefixtures/authored/claims/LD06-SL-C11--v1.0.
Builder decisions (not Drive data)
- VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD06-SL-C11 v1.0); the first version of a new Claim of the LD-06 debate
- CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD06-SL-C11 v1.0" (Project Lead (Claude, AI), 2026-10-15); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-06 debate; a new Claim, first version, written from the project's LD-06 source notes, checked against full texts or official abstracts
- FIELD_6_SOURCE_REFERENCE = SRC-SL-SINGH-ET-AL-GLOBAL-MMLU-ARXIV-2412-03304--v1.0 — basis: field 6 of ENTRY 11 — LD06-SL-C11 cites "Singh, Romanou, Fourrier, Adelani, Ngui, Vila-Suero et al., “Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation,” arXiv:2412.03304 (v2), 2025"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-SINGH-ET-AL-GLOBAL-MMLU-ARXIV-2412-03304--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Singh, Romanou, Fourrier, Adelani, Ngui, Vila-Suero et al., “Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation,” arXiv:2412.03304 (v2), 2025".