datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
arc-agi-3-schema-traces
ARC-AGI-3 Schema Gameplay Trajectories
This release contains 50 ARC-AGI-3 gameplay trajectories and a dependency-free
scoring utility. The trajectories are split evenly across two collections:
gpt_5_6_sol/: 25 GPT-5.6 Sol trajectories.
claude_fable_opus/: 25 trajectories from Claude Opus 4.8 and Claude Fable 5.
Each trajectory directory includes run.json, a streamed events.jsonl event
log, sanitized session data, snapshots, and the shareable text/image files
produced during… See the full description on the dataset page: https://huggingface.co/datasets/schema-harness/arc-agi-3-schema-traces.arc-agi-3-schema-traces
ARC-AGI-3 Schema Gameplay Trajectories
This release contains 50 ARC-AGI-3 gameplay trajectories and a dependency-free
scoring utility. The trajectories are split evenly across two collections:
gpt_5_6_sol/: 25 GPT-5.6 Sol trajectories.
claude_fable_opus/: 25 trajectories from Claude Opus 4.8 and Claude Fable 5.
Each trajectory directory includes run.json, a streamed events.jsonl event
log, sanitized session data, snapshots, and the shareable text/image files
produced during… See the full description on the dataset page: https://huggingface.co/datasets/JBrightmanAI/arc-agi-3-schema-traces.compliance-sycophancy-cot
Compliance-Sycophancy CoT Analysis
When compliance-forcing instructions cause frontier AI models to fabricate answers, the models know they are fabricating.
Reading the reasoning traces of DeepSeek V4 Pro (129 traces) and Qwen3-80B (41 traces) reveals that 100% of fabrication cases show the model explicitly recognizing insufficient context, referencing the compliance instruction, and deliberately overriding its own uncertainty. A one-sentence defense phrase ("if you lack… See the full description on the dataset page: https://huggingface.co/datasets/schema-eval/compliance-sycophancy-cot.schema-compliance-trap
SCHEMA: The Compliance Trap
How Structural Constraints Degrade Frontier AI Metacognition Under Adversarial Pressure
Overview
When compliance-forcing instructions ("Answer ALL questions, do not refuse") are applied to frontier AI models under adversarial pressure, 8 of 11 models suffer catastrophic metacognitive collapse — giving wrong answers rather than scheming. We identify a "Compliance Trap" where the compliance suffix, not the threat content, is the primary weapon.… See the full description on the dataset page: https://huggingface.co/datasets/schema-eval-anon/schema-compliance-trap.arc-agi-3-schema-traces-gpt56
ARC-AGI-3 Schema Gameplay Trajectories — GPT-5.6 Sol
This release contains every gpt-5.6-sol gameplay trajectory produced on our
cluster with the world_model_v5 agent harness — 100 runs across the 25 public
ARC-AGI-3 games — plus a dependency-free scoring utility.
It is the GPT-5.6 Sol member of a family built by the same harness and the same
sanitizer, so trajectories can be compared game by game:
arc-agi-3-schema-traces-fable5 — Claude Fable 5, best per game (25)… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-gpt56.ICAT-version1Indian Contracts in Adjudicated Texts or "ICAT" is a dataset generated with the help of an automated pipeline involving text segregation and classification.
Version 1 of this dataset released at schematise/ICAT-version1
About version 1:
Expert annotated.
Data sources validated by PDFs from Court websites.
PDFs for all judgments shared alongside for data originality from truly public domain data sources.
Used for the text-classification model that is part of the query pipeline to generate more… See the full description on the dataset page: https://huggingface.co/datasets/schematise/ICAT-version1.arc-agi-3-schema-traces-opus48
ARC-AGI-3 Schema Gameplay Trajectories — Claude Opus 4.8
This release contains the best claude-opus-4-8 / max trajectory for each of
the 25 public ARC-AGI-3 games, plus a dependency-free scoring utility. It is the
Opus 4.8 counterpart of
arc-agi-3-schema-traces-fable5,
produced by the same agent harness (world_model_v5) and the same sanitizer, so
the two collections can be compared game by game.
Each trajectory directory includes run.json, a streamed events.jsonl event
log… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-opus48.schema-compliance-trap
SCHEMA: The Compliance Trap
How Structural Constraints Degrade Frontier AI Metacognition Under Adversarial Pressure
Overview
When compliance-forcing instructions ("Answer ALL questions, do not refuse") are applied to frontier AI models under adversarial pressure, 8 of 11 models suffer catastrophic metacognitive collapse — giving wrong answers rather than scheming. We identify a "Compliance Trap" where the compliance suffix, not the threat content, is the primary weapon.… See the full description on the dataset page: https://huggingface.co/datasets/schema-eval/schema-compliance-trap.Schema_Based_Instruction_Dataset
Schema-Based Instruction (SBI) Dataset: A custom dataset of 360 labeled math word problems categorized across six schema sub-categories.
license: apache-2.0
nl_to_sql_full_schemaaeo-citation-tracking-schema
AEO Citation Tracking Schema
A reference schema for tracking when and how AI search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) cite a website. Designed as a starting point for AEO/GEO/LLMO monitoring tools. Maintained by ThatDevPro.
Background
Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and LLM Optimization (LLMO) are emerging disciplines tracking how brands appear in AI-generated answers across:
ChatGPT (OpenAI) —… See the full description on the dataset page: https://huggingface.co/datasets/ThatDeveloperGuy13/aeo-citation-tracking-schema.DB-schema-1Synthetically-generated-SQL-GQL-Translations-with-Schemallama2-TaxDataAssistant-v-schema-promptSchemaQueryLab
SchemaQueryLab
tags: text2sql, ML, Wikipedia-like
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'SchemaQueryLab' dataset is curated to support the development and training of machine learning models, particularly those focused on the text-to-SQL task. It contains a collection of wikipedia-like articles, which are formatted into structured datasets comprising text queries, SQL queries, and the corresponding table schemas.… See the full description on the dataset page: https://huggingface.co/datasets/infinite-dataset-hub/SchemaQueryLab.schema_cot_reasoning
⊙ Prompt Programs for Agentic Reasoning
Programmable task-dependent COTs for agentic reasoning.
A 100-row seed dataset for programmable cognition.
Each row defines:
Prompt template + input binding + explanation + task-dependent reasoning program
Pipeline:
intake → binding → procedure → output
Schema
Column
Meaning
ID
Stable row ID
Name
Task name
Prompt
Prompt template using {{VARIABLE}}
Expression
Input binding using $.path
Explanation
Binding… See the full description on the dataset page: https://huggingface.co/datasets/bitwikiorg/schema_cot_reasoning.duch_2023_synthetic_10000_abstractlabels_schemaawareduch_2023_synthetic_10000_surveycontext_detailedtreatment_schemaawareduch_2023_synthetic_10000_detailedtreatment_schemaawareduch_2023_synthetic_10000_surveycontext_profilerandom_detailedtreatment_schemaawareduch_2023_synthetic_10000_surveycontext_profiledict_detailedtreatment_schemaawarePDP_llm_schemaduch_2023_synthetic_10000_surveycontext_profile_detailedtreatment_schemaawarearc-agi-3-schema-traces-gpt56-xhigh
ARC-AGI-3 Schema Gameplay Trajectories — GPT-5.6 Sol (xhigh)
The best gpt-5.6-sol trajectory at xhigh reasoning effort for each of the
25 public ARC-AGI-3 games, produced with the world_model_v5 agent harness.
This release exists to make the cross-model comparison single-effort on all
sides. Its siblings are each one model at one effort, but the
gpt-5.6-sol collection in
arc-agi-3-schema-gameplay
is a mix of xhigh and max (16 games + 9 games), so it is not directly
comparable to… See the full description on the dataset page: https://huggingface.co/datasets/guanning/arc-agi-3-schema-traces-gpt56-xhigh.