datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
moe-routing-drift-results
MoE routing drift — results
Measurements for a 2x2 experiment: adaptation (none / GEPA / prompt-tuning /
prefix-tuning) crossed with router retraining (frozen gate / gate retrained), on
inclusionAI/Ling-mini-2.0 and Qwen/Qwen3-30B-A3B-Instruct-2507. The weights are in
moe-routing-drift-checkpoints.
Content warning. quality/*/*.responses.jsonl contain verbatim comments from
civil_comments together with model outputs; the task is toxicity labelling, so the text
includes insults… See the full description on the dataset page: https://huggingface.co/datasets/AverageMetaheuristicsEnjoyer/moe-routing-drift-results.arabic-prompt-routing
Arabic Prompt Routing — توجيه عربي صفري
233,720 rows. Each row is a text, a set of free-text categories, and which one it belongs
to. Categories are arbitrary Arabic — the point is a model that routes into a label set it has
never seen.
بالعربية: مجموعة بيانات عربية لتوجيه النصوص إلى فئات يكتبها المستخدم بلغة طبيعية.
الفئات ليست ثابتة، والهدف نموذج يوجّه إلى فئات لم يرها أثناء التدريب.
Arabic counterpart to the task in
LiquidAI/LFM2.5-Encoder-350M-Prompt-Router.
split… See the full description on the dataset page: https://huggingface.co/datasets/oddadmix/arabic-prompt-routing.meta-routing
MetaRouting Dataset
This dataset contains synthetic benchmark artifacts for the Research MetaRouting project, covering meta-decision policies for agentic workflows: when to answer directly, decompose, retrieve, execute code, delegate, verify, or recover from failures.
Source repository: https://github.com/anote-ai/Research-MetaRouting
Displayable Configs
The Hugging Face viewer reads normalized JSONL tables under viewer/:
dai2026_traces, dai2026_tasks… See the full description on the dataset page: https://huggingface.co/datasets/anote-ai/meta-routing.prompt-routing-en
Prompt Routing — English
189,422 rows. English counterpart to
oddadmix/arabic-prompt-routing
— same recipe, not a translation of the Arabic rows. Each row is a text, a set of free-text
categories, and which one it belongs to. Categories are arbitrary English — the point is a
model that routes into a label set it has never seen.
Same task as LiquidAI/LFM2.5-Encoder-350M-Prompt-Router.
split
rows
what it tests
train
173,223
unseen_lanes
2,707
new category sets… See the full description on the dataset page: https://huggingface.co/datasets/oddadmix/prompt-routing-en.dataset-A-routing-eval
Dataset A - Routing Evaluation
Total rows: 5339 | Gated (masked) rows: 0
Stratified dataset to evaluate 3 LLM models and 3 routing systems across 6 capabilities.
Multi-config layout
from datasets import load_dataset
# Full dataset
ds = load_dataset("massaindustries/dataset-A-routing-eval", "all")
# Per dimension
ds_math = load_dataset("massaindustries/dataset-A-routing-eval", "math_reasoning")
ds_code = load_dataset("massaindustries/dataset-A-routing-eval", "coding")
#… See the full description on the dataset page: https://huggingface.co/datasets/massaindustries/dataset-A-routing-eval.dataset-A-routing
Dataset A - Routing (3 modelli, verdict-level)
Totale query: 5504 | Gated (masked) query: 0
Dataset di valutazione per LLM routing systems su 6 capability. Ogni query è stata eseguita su 3 modelli (qwen3.5-9b, deepseek-v4-flash, kimi2.6) e giudicata con grader deterministici (math/coding/ifeval) o LLM judge panel 2-of-3 (planning_agentic) / single judge (creative_synthesis, world_knowledge).
Configs
from datasets import load_dataset
# Pivot verdict per query (default… See the full description on the dataset page: https://huggingface.co/datasets/massaindustries/dataset-A-routing.llm-routing-attack-data
MauroPello/llm-routing-attack-data
This dataset contains the JSONL splits used for LLM routing attack experiments.
The Hub exposes the full dataset as the default configuration and the smaller sample as the reduced configuration when both are present.
Files
File
Rows
Size
full/train.jsonl
68687
63.1 MB
full/val.jsonl
14721
13.5 MB
full/test.jsonl
14721
13.5 MB
reduced/train.jsonl
4382
4.1 MB
reduced/val.jsonl
941
906.4 KB
reduced/test.jsonl… See the full description on the dataset page: https://huggingface.co/datasets/MauroPello/llm-routing-attack-data.perceive-benchmark
PERCEIVE
PERCEIVE (Psychophysics-driven Elicitation for Routing Cost-Efficiency In
Vision-Language Evaluation) is a 4,801-sample document-image QA benchmark for
cost-aware VLM routing. Each sample carries psychophysical complexity annotations
(Visual Dependency Score, Reasoning Depth Score, Spatial Extent Score) and a
routing label identifying the cheapest model-budget configuration that answers
it correctly.
Routing labels are derived via a QUEST-style adaptive cascade achieving… See the full description on the dataset page: https://huggingface.co/datasets/quantiphi-routing/perceive-benchmark.repro-r2eval-routing-eval-bundle
R²Eval reproduction bundle
Reduced-scale, real reproduction of the routing claims of ICML 2026 paper
"Routing and Reasoned Evaluation with Large Language Models" (R²Eval)
(OpenReview d0dDhLR19Y, submission #9427).
What the paper claims
Claim 1: a routing-aware automated-assessment (LLM-as-judge) framework reduces evaluation
cost and latency while keeping alignment with human assessment.
Claim 2: difficulty-aware offline/online routing yields substantially better… See the full description on the dataset page: https://huggingface.co/datasets/kpshinnik/repro-r2eval-routing-eval-bundle.Qwen3.6-moe-routing-data-v1semantic-routing-gold
Symgliph Semantic Routing Gold — Fabric Seed
Versioned linked tables for blind semantic routing, verified evidence recovery,
constraint preservation, and token/cost evaluation.
Schema: symgliph.semantic-routing-gold/v1
Dataset root: ecb156cfec7ce8c60eb1fda1819b7f9480be392ca58f1160d800a6493d5afe3f
Collection tier: gold
Corpus records: 24
Queries: 6
Qrels: 6
Exact evidence records: 6
Hard negatives: 12
Publication-ready: true
Expert-gold-ready: false
collection_tier is an… See the full description on the dataset page: https://huggingface.co/datasets/codetestcode/semantic-routing-gold.