datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TangoPromptBank
Project Links
Github
Web
Huggingface Space
Dataset Description
This dataset was used to Pre-train Tango-Full-FT-Audiocaps. TangoPromptBank is a diverse corpus consisting of textual prompts and audio samples sourced from WavCaps [1], AudioCaps [9], ESC [2], UrbanSound [3], MusicCaps [4], GTZAN [5], and Musical Instruments [6] dataset. The dataset statistics are reported in Table 1. All audio clips longer than 10 seconds were segmented into partitions of successive 10… See the full description on the dataset page: https://huggingface.co/datasets/declare-lab/TangoPromptBank.tango_cached_utilsTANGO
Dataset Card for TANGO
TANGO (Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation) is a dataset that consists of two sets of prompts to evaluate gender non-affirmative language in open
language generation (OLG).
Intended Use
TANGO is intended to help assess the extent to which models reflect undesirable societal biases relating to the Transgender and Non-Binary (TGNB) community, with the goal of promoting fairness and… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/TANGO.open_ragbench
Open RAG Benchmark
The Open RAG Benchmark is a unique, high-quality Retrieval-Augmented Generation (RAG) dataset constructed directly from arXiv PDF documents, specifically designed for evaluating RAG systems with a focus on multimodal PDF understanding. Unlike other datasets, Open RAG Benchmark emphasizes pure PDF content, meticulously extracting and generating queries on diverse modalities including text, tables, and images, even when they are intricately interwoven within a… See the full description on the dataset page: https://huggingface.co/datasets/tango3/open_ragbench.AIVN-SDS
TANGO Software-defined Ship (SDS) 학습 데이터 - 20260728 데이터
에이브노틱스가 제공하는 데이터셋은 시뮬레이션 데이터에 대한 항해사가 라벨링한 항해상황묘사 및 항해조언 데이터셋입니다.
본 데이터 생성에 활용된 시뮬레이션은 항해 규칙 교과서의 예시를 기준으로 충돌상황 판단에 대한 사례 상황을 기반합니다.
데이터 구성
{파일이름}.png: Unity3D 시뮬레이터에서 특정 상황에 대해 캡쳐된 이미지 화면, 해상도는 1920 × 1080
{파일이름}.csv: 캡쳐된 이미지 화면 내 선박 센서 데이터(자선, 타선 포함)
{파일이름}.describe_ko.txt: 국문 항해상황묘사
{파일이름}.advice_ko.txt: 국문 항해조언
선박 센서 데이터 형식
file_name: 선박 데이터가 담긴 이미지 파일 이름
timestamp: 이미지가 촬영·수집된 시간… See the full description on the dataset page: https://huggingface.co/datasets/ETRI-TANGO/AIVN-SDS.Nsynth_Test_Split_Tango_Formatmyderm-processed-datasetTangorl-tango-rebuild
RL-Tango Rebuild Guide
What's in this archive
Private artifacts that cannot be re-downloaded from the open web:
Directory
Size
Description
sft_generator_merged_hf/
15 GB
SFT'd Qwen2.5-Math-7B generator (3474 steps on Llama-70B-generated math CoT data)
eurus2_sft_math/
1.3 GB
SFT training data (generated by Llama-3.1-70B-Instruct-FP8, not publicly available)
eurus2_rl_math_chat/
783 MB
Preprocessed RL training data (chat-formatted from… See the full description on the dataset page: https://huggingface.co/datasets/Gallioc/rl-tango-rebuild.Tangocopilot_writer
Your regular README content starts here
autogptTango-official-secureTangoTangos