caa
Datasets
All datasets matching “caa”InstructTTSEval
InstructTTSEval
InstructTTSEval is a comprehensive benchmark designed to evaluate Text-to-Speech (TTS) systems' ability to follow complex natural-language style instructions. The dataset provides a hierarchical evaluation framework with three progressively challenging tasks that test both low-level acoustic control and high-level style generalization capabilities.
Github Repository: https://github.com/KexinHUANG19/InstructTTSEval
Paper: InstructTTSEval: Benchmarking Complex… See the full description on the dataset page: https://huggingface.co/datasets/CaasiHUANG/InstructTTSEval.CAA
Clinical Agent Annotator (CAA)
A clinician-in-the-loop benchmark for long-horizon medical LLM agents:
333 KG-grounded clinical tasks, multi-gate evaluation across diagnosis,
required tool use, parameterised actions, and must-ask history-taking
topics, plus the full harbor evaluation harness so you can re-run
every number locally.
This repository bundles three artifacts:
Task corpus — 333 clinician-approved tasks (and the 290-task
authoring set the case study trains on).… See the full description on the dataset page: https://huggingface.co/datasets/anon-caa-neurips/CAA.CA-AIN-V2
Nepali Source-Grounded Instruction Dataset
Synthetic Nepali instruction-tuning data generated with NVIDIA NeMo Data
Designer from authoritative Nepali documents (agriculture manuals, legal
texts). Answers are grounded strictly in the source; unanswerable questions
get an explicit refusal. Records use chat messages format plus metadata
and per-record quality_scores (grounding / correctness / naturalness, 1-5,
LLM-as-judge). One data/train-<shard>.jsonl per source document; shards… See the full description on the dataset page: https://huggingface.co/datasets/aarajbhattarai/CA-AIN-V2.caava-grpo-training-dataarchaeological-sites-caa2025
Archaeological Site Dataset (CAA UK 2025)
Dataset Summary
This dataset provides a comprehensive multi-channel remote sensing dataset for training machine learning models to detect archaeological sites. The dataset combines Sentinel-2 satellite imagery, FABDEM elevation data, and derived spectral indices to create 11-channel representations of 1×1 km grid cells at 10m resolution.
Key Features:
Multi-modal data: 6 spectral bands + 3 spectral indices + 2 terrain features… See the full description on the dataset page: https://huggingface.co/datasets/lldbrett/archaeological-sites-caa2025.eval_steering_caa_high_2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "koch_follower",
"total_episodes": 8,
"total_frames": 1898,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:8"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/ethanCSL/eval_steering_caa_high_2.