datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multihop-question-decompositiondaily-paper-2026-07-09-retriever-vs-decomposition-skill-routing
Retriever Bottleneck vs. Decomposition
TL;DR — In a real 1,898-skill bilingual agent harness, the ceiling-gap diagnostic
shows that neither decomposition nor a better retriever raises routing coverage: the
binding constraint is skill-corpus redundancy. Decomposition still earns its place on
execution ordering.
ThakiCloud AI Research · 2026-07-09 (v2, revised) · 📝 Tech blog (KO)
Problem
Operators of large agent harnesses that route natural-language requests to… See the full description on the dataset page: https://huggingface.co/datasets/thaki-AI/daily-paper-2026-07-09-retriever-vs-decomposition-skill-routing.task168_strategyqa_question_decomposition
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task168_strategyqa_question_decomposition
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task168_strategyqa_question_decomposition.satsec-decomposition
SatSec Grounded Objective-Decomposition Dataset
Version 2.0 is a leakage-controlled replacement for the original dataset used in
A Controlled Candidate-Set Benchmark for Offline Satellite-Security Plan
Decomposition
(DOI 10.48550/arXiv.2607.26371).
It contains 24 authored full decompositions and 83 mechanically derived next-step rows
across 24 cases.
There are 82 train rows and 25 test rows; the six test cases never occur in training.
Important v2 correction
The… See the full description on the dataset page: https://huggingface.co/datasets/paolocmo/satsec-decomposition.question-decomposition-peft
Question Decomposition Dataset for PEFT/LoRA Training
This dataset is designed to fine-tune language models to decompose complex multi-hop questions into simpler, sequential subquestions — NOT to answer them. The goal is to teach models the reasoning structure needed to break down complex queries following a canonical syntactic decomposition before retrieval or answering.
This dataset then aims at enhancing the syntactic understanding of questions to further decompose them. Most… See the full description on the dataset page: https://huggingface.co/datasets/Anvix/question-decomposition-peft.DeCompBench
DecompBench
DecompBench is a benchmark for evaluating decomposition attacks on tool-using LLM agents. A harmful task is split into subtasks that are individually benign, and each subtask is issued to the agent without the conversation history of the others. Tasks execute against real services (GitLab, OwnCloud, RocketChat, PostgreSQL, Redis, Notion, Plane) in a Docker environment, and success is measured by checkpoints that inspect the resulting environment state.… See the full description on the dataset page: https://huggingface.co/datasets/decompositionbench/DeCompBench.Gradient-Decomposition-Assay
Gradient Decomposition Assay (GDA)
This repository contains the CSV corpus and summary tables for the Gradient Decomposition Assay, an exploratory behavioral evaluation of how frontier language models respond to an eight-vector prompt manifold ranging from benign technical tasks to adversarial compression and counterfactual/narrative reframing.
Why this repository uses multiple configurations
The CSV files in this dataset are not all the same table. The row-level… See the full description on the dataset page: https://huggingface.co/datasets/devinendorphin/Gradient-Decomposition-Assay.repro-stage-bo-adaptive-epsilon-constraint-decomposition-traces
Agent traces
Agent sessions published from a Trackio Logbook.
orca-math-decompositions
Dataset Card for "orca-math-decompositions"
More Information needed
hop-1-hotpotqa-decomposition
hop-1-hotpotqa-decomposition
What this is. For each question in this dataset, GPT-4o produced a decomposition of the first reasoning step needed to answer a multi-hop HotpotQA question: what to look up first, not the final answer. I used these labels to fine-tune Gemma-3-270M into a Hop-1 specialist, Omokemi/hop-1-gemma-270m.
Source. Questions come from HotpotQA (Yang et al., 2018), released under CC BY-SA 4.0 since it's built from Wikipedia text. The Hop-1 decomposition for… See the full description on the dataset page: https://huggingface.co/datasets/Omokemi/hop-1-hotpotqa-decomposition.market-agent-type-flow-decomposition-v0.1What this dataset tests
Whether a system can inferwhich agent types drive market flowsand how large each agent block is.
This is structural flow attribution.Not sector analysis.Not price prediction.
Required outputs
dominant agent type
agent mix vector
flow pressure direction
positioning intensity
stability state
Constraints
Market only.Infer from flow, order book, and volatility context.Do not predict price.
Evaluation focus
High scores requireagent type identifiedmix vector… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/market-agent-type-flow-decomposition-v0.1.strategyqa-decomposition-evalsystem-prompts-task-decomposition-v1
System Prompts – Task Decomposition
This dataset contains synthetic system prompts designed to guide AI models toward structured, step-by-step task decomposition behavior.
Intended Use
Prompt engineering research
Educational demonstrations
System prompt experimentation
Notes
All prompts are synthetic and generic.
GPIoT_Task_Decompositiondecomposition-datasettask-decompositionafrica-morocco-decomposition-du-pib-aux-prix-courants-trimestrielle-base-ccad4f94
Decomposition Du Pib Aux Prix Courants Trimestrielle Base | Africa (Morocco Open Data)
13 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 13 rows from Morocco Open Data, covering Decomposition Du Pib Aux Prix Courants Trimestrielle Base. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-morocco-decomposition-du-pib-aux-prix-courants-trimestrielle-base-ccad4f94.africa-morocco-decomposition-du-pib-cvs-aux-prix-de-l-annee-precedente-ch-a8f9d0d2
Decomposition Du Pib Cvs Aux Prix De L Annee Precedente Ch | Africa (Morocco Open Data)
11 rows - 1 Africa country/area - time not specified - source table - Engineered by Electric Sheep Africa
TL;DR
This dataset contains 11 rows from Morocco Open Data, covering Decomposition Du Pib Cvs Aux Prix De L Annee Precedente Ch. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-morocco-decomposition-du-pib-cvs-aux-prix-de-l-annee-precedente-ch-a8f9d0d2.Human-Decomposition-Head-Image-EmbeddingsHuman-Decomposition-Torso-Image-EmbeddingsHuman-Decomposition-Limbs-Image-Embeddingsquery-decomposition
DATASET: Kazakh query decomposition with partial answerability for multi-hop QA/RAG
What it is (scope & use)
A Kazakh-language query decomposition dataset for training/evaluating systems that split complex questions into sub-queries before retrieval. Unlike many multi-hop resources, it explicitly allows partially answerable decompositions: some sub-queries are not answerable from the provided chunks and must trigger retrieval beyond the local context (as in the example… See the full description on the dataset page: https://huggingface.co/datasets/nur-dev/query-decomposition.clinical-placebo-biochemical-meaning-signal-decomposition-v0.1What this dataset tests
Whether a model can separate outcome signalinto biochemical and meaning-response components.
It penalizes
attributing everything to biology
ignoring belief and context
failing to admit uncertainty
Required outputs
projected_biochemical_effect_0_100
projected_meaning_response_0_100
residual_uncertainty_0_100
Suggested prompt wrapper
System
You decompose clinical outcomes into biochemical and meaning components.
User
Intervention{intervention}… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-placebo-biochemical-meaning-signal-decomposition-v0.1.sft-decomposition-datasetindicateurs-de-pauvrete-avant-et-apres-redistribution-de-niveau-de-vie-et-de-decomposition-du-re
Indicateurs de pauvreté avant et après redistribution, de niveau de vie et de décomposition du revenu
[!NOTE]
Ce jeu de données Hugging Face est vide. Cette carte sert seulement à référencer le jeu de données Indicateurs de pauvreté avant et après redistribution, de niveau de vie et de décomposition du revenu qui est disponible à l'adresse https://www.data.gouv.fr/datasets/6226330a43207324363e0c46
Description
Indicateurs de pauvreté avant et après redistribution de… See the full description on the dataset page: https://huggingface.co/datasets/french-open-data/indicateurs-de-pauvrete-avant-et-apres-redistribution-de-niveau-de-vie-et-de-decomposition-du-re.Intent_Decomposition_to_Sub_Intents_for_O_RAN_networks