VINAY-UMRETHE/Trivenika
收藏Hugging Face2026-03-06 更新2026-03-29 收录
下载链接：
https://hf-mirror.com/datasets/VINAY-UMRETHE/Trivenika
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资源简介：
---
configs:
- config_name: filtered
data_files:
- data/OmniBench/*.parquet
- data/LinxyLatexOCR/*.parquet
- data/UnslothLatexOCR/*.parquet
- data/MathVision/*.parquet
- data/WeMath/*.parquet
- data/FoodCaptioned/*.parquet
- data/PokemonBlipCaptioned/*.parquet
- data/PokemonInfo/*.parquet
- data/PokemonCards/*.parquet
- data/Tiny_Stories/*.parquet
- data/Tiny_Stories_Igbo/*.parquet
- data/ToneBooks/*.parquet
- data/EnglishDialects/*.parquet
- data/Elise/*.parquet
- data/Indian_Hindi/*.parquet
- data/Indian_Marathi/*.parquet
- data/SpectoGram_Captioned/*.parquet
- data/Silvar_Med/*.parquet
- data/MilitaryImages/*.parquet
- data/BhojpuriASR/*.parquet
- data/IndoAryanSinhalaASR/*.parquet
- data/KashmiriArabicASR/*.parquet
- data/AngikaDevanagariASR/*.parquet
- data/ArabicAudio/*.parquet
- data/MilitaryAircraftCaptioned/*.parquet
- data/NonverbalTTS/*.parquet
- data/CocoSmall/*.parquet
- data/CelebrityFaces/*.parquet
- data/CelebaCaptions/*.parquet
- config_name: OmniBench
data_files: data/OmniBench/*.parquet
- config_name: LinxyLatexOCR
data_files: data/LinxyLatexOCR/*.parquet
- config_name: UnslothLatexOCR
data_files: data/UnslothLatexOCR/*.parquet
- config_name: MathVision
data_files: data/MathVision/*.parquet
- config_name: WeMath
data_files: data/WeMath/*.parquet
- config_name: FoodCaptioned
data_files: data/FoodCaptioned/*.parquet
- config_name: PokemonBlipCaptioned
data_files: data/PokemonBlipCaptioned/*.parquet
- config_name: PokemonInfo
data_files: data/PokemonInfo/*.parquet
- config_name: PokemonCards
data_files: data/PokemonCards/*.parquet
- config_name: Tiny_Stories
data_files: data/Tiny_Stories/*.parquet
- config_name: Tiny_Stories_Igbo
data_files: data/Tiny_Stories_Igbo/*.parquet
- config_name: ToneBooks
data_files: data/ToneBooks/*.parquet
- config_name: EnglishDialects
data_files: data/EnglishDialects/*.parquet
- config_name: Elise
data_files: data/Elise/*.parquet
- config_name: Indian_Hindi
data_files: data/Indian_Hindi/*.parquet
- config_name: Indian_Marathi
data_files: data/Indian_Marathi/*.parquet
- config_name: SpectoGram_Captioned
data_files: data/SpectoGram_Captioned/*.parquet
- config_name: Silvar_Med
data_files: data/Silvar_Med/*.parquet
- config_name: MilitaryImages
data_files: data/MilitaryImages/*.parquet
- config_name: BhojpuriASR
data_files: data/BhojpuriASR/*.parquet
- config_name: IndoAryanSinhalaASR
data_files: data/IndoAryanSinhalaASR/*.parquet
- config_name: KashmiriArabicASR
data_files: data/KashmiriArabicASR/*.parquet
- config_name: AngikaDevanagariASR
data_files: data/AngikaDevanagariASR/*.parquet
- config_name: ArabicAudio
data_files: data/ArabicAudio/*.parquet
- config_name: MilitaryAircraftCaptioned
data_files: data/MilitaryAircraftCaptioned/*.parquet
- config_name: NonverbalTTS
data_files: data/NonverbalTTS/*.parquet
- config_name: CocoSmall
data_files: data/CocoSmall/*.parquet
- config_name: CelebrityFaces
data_files: data/CelebrityFaces/*.parquet
- config_name: CelebaCaptions
data_files: data/CelebaCaptions/*.parquet
- config_name: NSFW1
data_files: data/NSFW1/*.parquet
- config_name: NSFW2
data_files: data/NSFW2/*.parquet
language:
- hi
- mr
- ks
- en
- ig
- ar
tags:
- trivenika
- text
- image
- audio
- classification
- ocr
- asr
- math
license: odc-by
---
# Trivenika: Stream of Audio-Visual & Language Data
<p align="center">
<img src="https://huggingface.co/datasets/VINAY-UMRETHE/Trivenika/resolve/main/assets/Trivenika.png" alt="Trivenika Logo" width="100%"/>
</p>
<p align="center">
<img src="https://img.shields.io/badge/Size-384K-green?style=for-the-badge">
<img src="https://img.shields.io/badge/Dataset-Trivenika-blue?style=for-the-badge">
</p>
A unified multimodal dataset combining **image**, **audio**, and **text** from diverse public sources.
---
## Quick Start
This dataset uses **Configurations** (Subsets) to manage its diverse data sources. You can load specific parts or the entire "filtered" dataset without downloading the NSFW portions.
### 1. Load the "filtered" Sub-Set (Recommended)
This configuration automatically aggregates all 29 safe subsets, **excluding** NSFW content.
```python
from datasets import load_dataset
# Loads ~384k samples (Images + Audio + Text) skipping NSFW content
dataset = load_dataset("VINAY-UMRETHE/Trivenika", "filtered", split="train")
print(dataset[0])
```
### 2. Load a Specific Subset
If you only need a specific domain (e.g., Hindi Audio or Math Vision), load just that subset.
```python
# Load only the Hindi ASR data
hindi_data = load_dataset("VINAY-UMRETHE/Trivenika", "Indian_Hindi", split="train")
# Load only the Math Vision data
math_data = load_dataset("VINAY-UMRETHE/Trivenika", "MathVision", split="train")
```
---
## Overview
**Trivenika** is a curated multimodal dataset built by harmonizing **31 source datasets** across multiple domains including mathematics, OCR, celebrity recognition, food captioning, Pokémon analysis, and general image understanding.
### Primary Use Case
* Fine-tuning **vision and audio projectors**
* Merging **modality-specific encoders** with base LLMs
* Training models for **Image + Audio → Text** capabilities
* **Tasks:** OCR, ASR, VQA, Math Reasoning, Safety Filtering, NSFW understanding.
### Key Statistics
| Modality | Count |
| --- | --- |
| Images | ~261K (268,026) |
| Audio Files | ~115K (118,788) |
| **Total Entries** | **383,816** |
---
### Available Subsets
| Config Name | Content Description |
| --- | --- |
| **`filtered`** | **(Virtual-Config)** Combines all safe subsets below. |
| `OmniBench` | General multimodal benchmark data |
| `LinxyLatexOCR` | LaTeX OCR images |
| `MathVision` | Visual mathematical problems |
| `Indian_Hindi` | Hindi speech recognition (ASR) |
| `FoodCaptioned` | Food images with descriptions |
| `PokemonCards` | Pokémon card scans and stats |
| `ToneBooks` | Audiobooks with tonal analysis |
| ... | *And More...* |
| `NSFW1` / `NSFW2` | **(Excluded from `filtered`)** |
### Schema
Every split follows this schema:
* `id` (string): Unique identifier.
* `image` (image): PIL-decodable image object (or None).
* `audio` (audio): Audio Data (or None).
* `text` (string): Text caption, transcription, or OCR output.
---
## Source Datasets & Provenance
We aggregate and restructure data from trusted public repositories. All individual licenses apply.
| # | Dataset | Purpose | Size | Link |
|---|--------|--------|------|------|
| 1 | `theneuralmaze/celebrity_faces` | Celebrity face images | 3,000 | [Link](https://huggingface.co/datasets/theneuralmaze/celebrity_faces) |
| 2 | `irodkin/celeba_with_llava_captions` | CelebA with LLaVA-generated captions | 36,646 | [Link](https://huggingface.co/datasets/irodkin/celeba_with_llava_captions) |
| 3 | `DRDELATV/SHORT_NSFW` | Short NSFW image-text pairs | 188 | [Link](https://huggingface.co/datasets/DRDELATV/SHORT_NSFW) |
| 4 | `DRDELATV/NSFW_LP` | NSFW labeled prompts/images | 124 | [Link](https://huggingface.co/datasets/DRDELATV/NSFW_LP) |
| 5 | `RIW/small-coco-wm_50` | filtered COCO subset | 23,716 | [Link](https://huggingface.co/datasets/RIW/small-coco-wm_50) |
| 6 | `linxy/LaTeX_OCR` | Synthetic LaTeX equations + images | 94,236 | [Link](https://huggingface.co/datasets/linxy/LaTeX_OCR) |
| 7 | `unsloth/LaTeX_OCR` | High-quality LaTeX OCR data | 68,686 | [Link](https://huggingface.co/datasets/unsloth/LaTeX_OCR) |
| 8 | `MathLLMs/MathVision` | Mathematical visual problems | 3,344 | [Link](https://huggingface.co/datasets/MathLLMs/MathVision) |
| 9 | `We-Math/We-Math` | General math problem dataset | 1,740 | [Link](https://huggingface.co/datasets/We-Math/We-Math) |
| 10 | `SPRINGLab/IndicTTS_Hidi` | ASR | 11825 | [Link](https://huggingface.co/datasets/SPRINGLab/IndicTTS-Hindi) |
| 11 | `SPRINGLab/IndicTTS_Marathi` | ASR | 10939 | [Link](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Marathi) |
| 12 | `MrDragonFox/Elise` | ASR | 1195 | [Link](https://huggingface.co/datasets/MrDragonFox/Elise) |
| 13 | `Vikhrmodels/ToneBooks` | ASR / Description | 45989 | [Link](https://huggingface.co/datasets/Vikhrmodels/ToneBooks) |
| 14 | `vucinatim/spectrogram-captions` | Audio Spectroscopy | 1000 | [Link](https://huggingface.co/datasets/vucinatim/spectrogram-captions) |
| 15 | `Hanhpt23/Silvar-Med` | Visual Medical Analysis | 856 | [Link](https://huggingface.co/datasets/Hanhpt23/Silvar-Med) |
| 16 | `facebook/omnilingual-asr-corpus` | ASR | 3477 | [Link](https://huggingface.co/datasets/facebook/omnilingual-asr-corpus) |
| 17 | `mehul7/captioned_military_aircraft` | Military Aircrafts captioning | 4865 | [Link](https://huggingface.co/datasets/mehul7/captioned_military_aircraft) |
| 18 | `SinclairSchneider/military_images` | Military Personnel | 1502 | [Link](https://huggingface.co/datasets/SinclairSchneider/military_images) |
| ... | *(Additional sources include Pokémon, food captioning, etc.)* | | | |
---
## Subjects & Tasks Covered
| Subject | Task Type |
|--------|-----------|
| **Celebrity Recognition** | Face Classification |
| **Image Captioning (Celeb)** | Vision-to-Text |
| **NSFW Detection** | Classification, Understanding |
| **General Image Understanding** | Captioning, Object Detection |
| **LaTeX OCR** | Formula Recognition, OCR |
| **Mathematical Reasoning** | Visual Math Problems |
| **Math SFT Data** | Step-by-step Math Solutions |
| **Pokémon** | Captioning, Identification, Classification |
| **Food** | Image Captioning & Identification |
| **Speech Recognition & Generation** | Audio Captioning |
> ✅ All datasets are publicly accessible.
---
## Ethical Considerations & Warnings
**Contains Potentially Sensitive Content**
- Includes **NSFW material** (`NSFW1`, `NSFW2`)
- Not suitable for child-safe applications without filtering
- Use `filtered` to exclude NSFW content
- Apply strict content moderation pipelines in production
- Comply with local regulations regarding adult content and facial recognition
**Tip**: The `filtered` manifest **excludes** NSFW samples and should be used for safety-conscious applications.
---
## Tips for Model Training
This dataset is made for **fine-tuning multimodal projectors** (e.g., LLaVA, Gemma-3n, LFM2).
### Recommended Encoder Pairings
| Model | Vision Encoder | Audio Encoder |
|------|----------------|---------------|
| **(Any Text-Generation Model)** | `timm/mobilenetv5_300m.gemma3n` | `n0mad-0/gemma3n-usm-rip` USM |
---
## License Summary
| Component | License |
| --- | --- |
| Original Public Datasets | Varies (MIT, Apache 2.0, CC-BY, etc.) |
**Note:** By using this dataset, you agree to comply with the licenses of the original source datasets found in the provenance table.
**Not licensed for commercial redistribution** without verifying compliance with each component’s licensing terms.
The use of the dataset as a whole is licensed under the [ODC-By v1.0](https://opendatacommons.org/licenses/by/1-0/) license.
---
## Citation
If you use this dataset in your research, please cite:
```bibtex
@misc{vinayumrethetrivenika2026,
author = {Vinay Umrethe},
title = {Trivenika: Stream of Audio-Visual & Language Data},
year = {2026},
publisher={Hugging Face},
howpublished={\url{https://huggingface.co/datasets/VINAY-UMRETHE/Trivenika}}
}
```
configs:
- config_name: filtered
data_files:
- data/OmniBench/*.parquet
- data/LinxyLatexOCR/*.parquet
- data/UnslothLatexOCR/*.parquet
- data/MathVision/*.parquet
- data/WeMath/*.parquet
- data/FoodCaptioned/*.parquet
- data/PokemonBlipCaptioned/*.parquet
- data/PokemonInfo/*.parquet
- data/PokemonCards/*.parquet
- data/Tiny_Stories/*.parquet
- data/Tiny_Stories_Igbo/*.parquet
- data/ToneBooks/*.parquet
- data/EnglishDialects/*.parquet
- data/Elise/*.parquet
- data/Indian_Hindi/*.parquet
- data/Indian_Marathi/*.parquet
- data/SpectoGram_Captioned/*.parquet
- data/Silvar_Med/*.parquet
- data/MilitaryImages/*.parquet
- data/BhojpuriASR/*.parquet
- data/IndoAryanSinhalaASR/*.parquet
- data/KashmiriArabicASR/*.parquet
- data/AngikaDevanagariASR/*.parquet
- data/ArabicAudio/*.parquet
- data/MilitaryAircraftCaptioned/*.parquet
- data/NonverbalTTS/*.parquet
- data/CocoSmall/*.parquet
- data/CelebrityFaces/*.parquet
- data/CelebaCaptions/*.parquet
- config_name: OmniBench
data_files: data/OmniBench/*.parquet
- config_name: LinxyLatexOCR
data_files: data/LinxyLatexOCR/*.parquet
- config_name: UnslothLatexOCR
data_files: data/UnslothLatexOCR/*.parquet
- config_name: MathVision
data_files: data/MathVision/*.parquet
- config_name: WeMath
data_files: data/WeMath/*.parquet
- config_name: FoodCaptioned
data_files: data/FoodCaptioned/*.parquet
- config_name: PokemonBlipCaptioned
data_files: data/PokemonBlipCaptioned/*.parquet
- config_name: PokemonInfo
data_files: data/PokemonInfo/*.parquet
- config_name: PokemonCards
data_files: data/PokemonCards/*.parquet
- config_name: Tiny_Stories
data_files: data/Tiny_Stories/*.parquet
- config_name: Tiny_Stories_Igbo
data_files: data/Tiny_Stories_Igbo/*.parquet
- config_name: ToneBooks
data_files: data/ToneBooks/*.parquet
- config_name: EnglishDialects
data_files: data/EnglishDialects/*.parquet
- config_name: Elise
data_files: data/Elise/*.parquet
- config_name: Indian_Hindi
data_files: data/Indian_Hindi/*.parquet
- config_name: Indian_Marathi
data_files: data/Indian_Marathi/*.parquet
- config_name: SpectoGram_Captioned
data_files: data/SpectoGram_Captioned/*.parquet
- config_name: Silvar_Med
data_files: data/Silvar_Med/*.parquet
- config_name: MilitaryImages
data_files: data/MilitaryImages/*.parquet
- config_name: BhojpuriASR
data_files: data/BhojpuriASR/*.parquet
- config_name: IndoAryanSinhalaASR
data_files: data/IndoAryanSinhalaASR/*.parquet
- config_name: KashmiriArabicASR
data_files: data/KashmiriArabicASR/*.parquet
- config_name: AngikaDevanagariASR
data_files: data/AngikaDevanagariASR/*.parquet
- config_name: ArabicAudio
data_files: data/ArabicAudio/*.parquet
- config_name: MilitaryAircraftCaptioned
data_files: data/MilitaryAircraftCaptioned/*.parquet
- config_name: NonverbalTTS
data_files: data/NonverbalTTS/*.parquet
- config_name: CocoSmall
data_files: data/CocoSmall/*.parquet
- config_name: CelebrityFaces
data_files: data/CelebrityFaces/*.parquet
- config_name: CelebaCaptions
data_files: data/CelebaCaptions/*.parquet
- config_name: NSFW1
data_files: data/NSFW1/*.parquet
- config_name: NSFW2
data_files: data/NSFW2/*.parquet
language:
- hi
- mr
- ks
- en
- ig
- ar
tags:
- trivenika
- text
- image
- audio
- classification
- ocr
- asr
- math
license: odc-by
---
# Trivenika：音视频与语言数据流数据集
<p align="center">
<img src="https://huggingface.co/datasets/VINAY-UMRETHE/Trivenika/resolve/main/assets/Trivenika.png" alt="Trivenika 标志" width="100%"/>
</p>
<p align="center">
<img src="https://img.shields.io/badge/Size-384K-green?style=for-the-badge">
<img src="https://img.shields.io/badge/Dataset-Trivenika-blue?style=for-the-badge">
</p>
本数据集为统一多模态数据集，整合来自各类公开源的**图像**、**音频**与**文本**数据。
---
## 快速上手
本数据集采用**配置项（子集）**管理多样数据源，你可加载指定子集或完整的「filtered」配置，且无需下载NSFW相关内容。
### 1. 加载「filtered」子数据集（推荐）
本配置会自动聚合全部29个安全子集，**剔除**NSFW内容。
python
from datasets import load_dataset
# 加载约384k条样本（涵盖图像、音频与文本），跳过NSFW内容
dataset = load_dataset("VINAY-UMRETHE/Trivenika", "filtered", split="train")
print(dataset[0])
### 2. 加载指定子集
若仅需特定领域的数据（例如印地语语音识别或数学视觉数据集），可直接加载对应子集。
python
# 仅加载印地语自动语音识别（ASR）数据
hindi_data = load_dataset("VINAY-UMRETHE/Trivenika", "Indian_Hindi", split="train")
# 仅加载MathVision数据集
math_data = load_dataset("VINAY-UMRETHE/Trivenika", "MathVision", split="train")
---
## 数据集概览
**Trivenika** 为经过精心整理的多模态数据集，通过整合涵盖数学、光学字符识别（Optical Character Recognition, OCR）、名人识别、食品图像标注、宝可梦分析与通用图像理解等多个领域的**31个源数据集**构建而成。
### 核心应用场景
* 微调**视觉与音频模态投影器**
* 将**模态专属编码器**与基础大语言模型（Large Language Model, LLM）进行融合
* 训练具备**图像+音频→文本**生成能力的模型
* **支持任务**：光学字符识别（OCR）、自动语音识别（Automatic Speech Recognition, ASR）、视觉问答（Visual Question Answering, VQA）、数学推理、安全过滤、NSFW内容识别。
### 关键统计数据
| 模态 | 样本数量 |
| --- | --- |
| 图像 | ~261K（268,026） |
| 音频文件 | ~115K（118,788） |
| **总条目数** | **383,816** |
---
### 可用子集
| 配置名称 | 内容描述 |
| --- | --- |
| **`filtered`** | **（虚拟配置）** 整合下述所有安全子集。 |
| `OmniBench` | 通用多模态基准数据 |
| `LinxyLatexOCR` | LaTeX OCR图像 |
| `MathVision` | 可视化数学问题 |
| `Indian_Hindi` | 印地语自动语音识别（ASR）数据 |
| `FoodCaptioned` | 带描述文本的食品图像 |
| `PokemonCards` | 宝可梦卡牌扫描件与属性数据 |
| `ToneBooks` | 带语调分析的有声书 |
| ... | *更多内容……* |
| `NSFW1` / `NSFW2` | **（未纳入「filtered」配置）** |
### 数据结构
所有数据集拆分均遵循以下格式：
* `id`（字符串类型）：唯一标识符。
* `image`（图像类型）：可通过PIL解码的图像对象（或为空值）。
* `audio`（音频类型）：音频数据（或为空值）。
* `text`（字符串类型）：文本标注、转录结果或OCR输出。
---
## 源数据集与来源说明
我们从可信的公开仓库中聚合并重构了数据，所有原始数据集的许可条款仍需遵守。
| 序号 | 数据集名称 | 用途 | 规模 | 链接 |
|---|--------|--------|------|------|
| 1 | `theneuralmaze/celebrity_faces` | 名人面部图像 | 3,000 | [链接](https://huggingface.co/datasets/theneuralmaze/celebrity_faces) |
| 2 | `irodkin/celeba_with_llava_captions` | 带LLaVA生成标注的CelebA数据集 | 36,646 | [链接](https://huggingface.co/datasets/irodkin/celeba_with_llava_captions) |
| 3 | `DRDELATV/SHORT_NSFW` | 短NSFW图像-文本对 | 188 | [链接](https://huggingface.co/datasets/DRDELATV/SHORT_NSFW) |
| 4 | `DRDELATV/NSFW_LP` | 带标注的NSFW提示词/图像 | 124 | [链接](https://huggingface.co/datasets/DRDELATV/NSFW_LP) |
| 5 | `RIW/small-coco-wm_50` | 经过滤的COCO子集 | 23,716 | [链接](https://huggingface.co/datasets/RIW/small-coco-wm_50) |
| 6 | `linxy/LaTeX_OCR` | 合成LaTeX公式与对应图像 | 94,236 | [链接](https://huggingface.co/datasets/linxy/LaTeX_OCR) |
| 7 | `unsloth/LaTeX_OCR` | 高质量LaTeX OCR数据 | 68,686 | [链接](https://huggingface.co/datasets/unsloth/LaTeX_OCR) |
| 8 | `MathLLMs/MathVision` | 可视化数学问题数据集 | 3,344 | [链接](https://huggingface.co/datasets/MathLLMs/MathVision) |
| 9 | `We-Math/We-Math` | 通用数学问题数据集 | 1,740 | [链接](https://huggingface.co/datasets/We-Math/We-Math) |
| 10 | `SPRINGLab/IndicTTS_Hidi` | 自动语音识别（ASR） | 11825 | [链接](https://huggingface.co/datasets/SPRINGLab/IndicTTS-Hindi) |
| 11 | `SPRINGLab/IndicTTS_Marathi` | 自动语音识别（ASR） | 10939 | [链接](https://huggingface.co/datasets/SPRINGLab/IndicTTS_Marathi) |
| 12 | `MrDragonFox/Elise` | 自动语音识别（ASR） | 1195 | [链接](https://huggingface.co/datasets/MrDragonFox/Elise) |
| 13 | `Vikhrmodels/ToneBooks` | 自动语音识别（ASR）与文本描述 | 45989 | [链接](https://huggingface.co/datasets/Vikhrmodels/ToneBooks) |
| 14 | `vucinatim/spectrogram-captions` | 音频频谱图标注数据集 | 1000 | [链接](https://huggingface.co/datasets/vucinatim/spectrogram-captions) |
| 15 | `Hanhpt23/Silvar-Med` | 视觉医学分析数据集 | 856 | [链接](https://huggingface.co/datasets/Hanhpt23/Silvar-Med) |
| 16 | `facebook/omnilingual-asr-corpus` | 自动语音识别（ASR） | 3477 | [链接](https://huggingface.co/datasets/facebook/omnilingual-asr-corpus) |
| 17 | `mehul7/captioned_military_aircraft` | 军用飞机图像标注 | 4865 | [链接](https://huggingface.co/datasets/mehul7/captioned_military_aircraft) |
| 18 | `SinclairSchneider/military_images` | 军事人员图像 | 1502 | [链接](https://huggingface.co/datasets/SinclairSchneider/military_images) |
| ... | *其余数据源涵盖宝可梦、食品图像标注等领域* | | | |
---
## 覆盖主题与支持任务
| 主题 | 任务类型 |
|--------|-----------|
| **名人识别** | 面部分类 |
| **名人图像标注** | 视觉到文本生成 |
| **NSFW内容检测** | 分类、内容识别 |
| **通用图像理解** | 图像标注、目标检测 |
| **LaTeX OCR** | 公式识别、光学字符识别（OCR） |
| **数学推理** | 可视化数学问题求解 |
| **数学监督微调数据** | 分步数学解题 |
| **宝可梦** | 图像标注、识别、分类 |
| **食品** | 图像标注与品类识别 |
| **语音识别与生成** | 音频标注 |
> ✅ 所有数据集均公开可访问。
---
## 伦理考量与注意事项
**包含潜在敏感内容**
- 包含**NSFW内容**（`NSFW1`、`NSFW2`）
- 未经过滤时不适用于儿童安全类应用
- 可使用`filtered`配置排除NSFW内容
- 在生产环境中需部署严格的内容审核流程
- 需遵守当地关于成人内容与面部识别的相关法规
**提示**：`filtered`配置**剔除**了NSFW样本，适用于注重内容安全的应用场景。
---
## 模型训练提示
本数据集专为**多模态投影器微调**设计（例如LLaVA、Gemma-3n、LFM2）。
### 推荐编码器搭配
| 模型 | 视觉编码器 | 音频编码器 |
|------|----------------|---------------|
| **（任意文本生成模型）** | `timm/mobilenetv5_300m.gemma3n` | `n0mad-0/gemma3n-usm-rip` USM |
---
## 许可协议摘要
| 组件 | 许可协议 |
| --- | --- |
| 原始公开数据集 | 各不相同（MIT、Apache 2.0、CC-BY等） |
**注意**：使用本数据集即代表你同意遵守来源说明表格中所列的原始源数据集许可协议。
**未经验证各组件许可条款合规性的情况下，不得用于商业再分发**。
本数据集整体的使用许可为 [ODC-By v1.0](https://opendatacommons.org/licenses/by/1-0/) 协议。
---
## 引用格式
若你在研究中使用本数据集，请按以下格式引用：
bibtex
@misc{vinayumrethetrivenika2026,
author = {Vinay Umrethe},
title = {Trivenika: Stream of Audio-Visual & Language Data},
year = {2026},
publisher={Hugging Face},
howpublished={url{https://huggingface.co/datasets/VINAY-UMRETHE/Trivenika}}
}
提供机构：
VINAY-UMRETHE
