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adaptive-data

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Models

All models matching “adaptive-data”
B4229Iowa /v2_data_full_adaptive_3layers_cross_attn0 likes8 downloads5mo agoHugging Facetkhangg0910 /Merged-Dual-Explain-stage_1-mhc-stream_expert_adaptive-7b_v2-data_v20 likes8 downloads3mo agoHugging FaceB4229Iowa /v2_data_full_adaptive_3layers_cross_attn_geo_adaln0 likes6 downloads4mo agoHugging Facetkhangg0910 /Dual-Explain-stage_1-mhc-stream_expert_no_adaptive-7b-data_v2text-generationpeft0 likes5 downloads3mo agoHugging Facetkhangg0910 /Dual-Explain-stage_full-mhc-stream_expert_adaptive-7b_v2-data_v2text-generationpeft0 likes5 downloads3mo agoHugging FaceB4229Iowa /v2_data_full_adaptive_12layers_cross_attn0 likes4 downloads5mo agoHugging Facetkhangg0910 /Dual-Explain-stage_1-mhc-stream_expert_adaptive-7b-data_v2text-generationpeft0 likes4 downloads3mo agoHugging FaceB4229Iowa /data_full_adaptive_3layers_cross_attn_both_adaln0 likes3 downloads5mo agoHugging Face

Datasets

All datasets matching “adaptive-data”
adaptive-classifier /ai-detector-data AI Detector Predictions Dataset A continuously-growing collection of AI text detection predictions with optional user feedback, generated from the AI Text Detector Space. Every time someone analyzes text or a URL on the Space, the prediction is appended to this dataset. Users can also click "Correct" or "Incorrect" to provide feedback, which gets stored alongside the prediction. Schema Field Type Description id string Unique 12-char hex identifier… See the full description on the dataset page: https://huggingface.co/datasets/adaptive-classifier/ai-detector-data.texttext-classification1K<n<10K5 likes1.2k downloads5h agoHugging Faceneurips-adaptive-adversaries /adaptive-adversaries-data Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security A 21-scenario multi-turn (15-round) adversarial red-teaming benchmark for LLM agents, in which both attacker and defender are independent LLM agents and attacks are regenerated per battle. Includes calibrated 3×3 attacker × defender matrix evaluation, full battle transcripts, attack-replay corpus, and traces from two open AgentBeats competitions. Companion paper: Adaptive Adversaries: A Multi-Turn… See the full description on the dataset page: https://huggingface.co/datasets/neurips-adaptive-adversaries/adaptive-adversaries-data.tabulartext-generation10K<n<100K1 likes443 downloads5mo agoHugging Facedavidnichols-ops /adaptive-operator-v4-dataset Adaptive Operator v4 — Training Datasets Training data for adaptive-operator-v4, a Qwen3.5-9B model fine-tuned with custom control tokens for adaptive compute allocation in agentic workflows. Dataset Summary Split Examples Format Size SFT 4,992 OpenAI chat messages 8.8 MB DPO 5,000 Chosen/rejected pairs 8.3 MB Raw teacher responses 5,000 OpenAI chat messages 6.5 MB Improved responses 4,992 OpenAI chat messages 13 MB Preference pairs (raw) 5,000… See the full description on the dataset page: https://huggingface.co/datasets/davidnichols-ops/adaptive-operator-v4-dataset.text-generation1K<n<10K0 likes139 downloads2mo agoHugging Facehrhraj /adaptive-dice-maestro-dataset-mergedimagen<1K0 likes97 downloads1y agoHugging FaceNishy11 /nishy-al-biology-adaptive-dataset Nishy A/L Biology Adaptive Dataset This repository contains Biology MCQ datasets prepared for the Nishy adaptive tutoring and assessment system for Sri Lankan G.C.E. A/L Biology. Repository structure Master audited dataset biology_master_1500_final_audited.json Final audited master collection containing 1500 MCQs. V4 paper-level split v4_train_base_1182.json v4_validation_base_90.json v4_test_final_76.json These files represent… See the full description on the dataset page: https://huggingface.co/datasets/Nishy11/nishy-al-biology-adaptive-dataset.question-answering0 likes78 downloads24d agoHugging FacekyLELEng /adaptive-retro-gpt-1b-datastore Adaptive-RETRO-GPT-1B Retrieval Datastore External chunk datastore used by Adaptive-RETRO-GPT-1B during retrieval-pretraining. Source: wikimedia/wikipedia / 20231101.en Chunks: 120000 Chunk token window: 512 Retriever: signed token-hash inner product top-k Files: chunks.npy: tokenized retrieval chunks embeddings.npy: normalized chunk embeddings chunk_metadata.jsonl: decoded chunk text and metadata datastore_meta.json: preprocessing and retrieval config 0 likes49 downloads5mo agoHugging Face