📊
Dataset

Iwara Mmd All

by AnimeFans ID: hf-dataset--animefans--iwara_mmd_all
FNI Rank 27
Percentile Top 1%
Activity
→ 0.0%

> For English readers, please see the English README. > **⚠️ 内容警告:此数据集源于 Iwara.tv,其中可能包含成人内容 (NSFW/R-18)。请在合适的环境下使用。** 本项目包含了自 Iwara.tv 建站至 2025年6月15日 的所有公开视频,总大小超过 30TB。Iwara.tv 是一个以 MikuMikuDance (MMD) 视频创作为主的分享社区。此数据集旨在为计算机视觉、数据分析、推荐系统等领域的研究人员提供素材。 与视频文件配套的**元数据**(如标题、作者、标签等)已被分离至另一个仓库,请访问:ACCA22...

Data Integrity 27 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--animefans--iwara_mmd_all
Provider huggingface
📜

Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset__animefans__iwara_mmd_all,
  author = {AnimeFans},
  title = {Iwara Mmd All Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/AnimeFans/Iwara_MMD_all}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
AnimeFans. (2026). Iwara Mmd All [Dataset]. Free2AITools. https://huggingface.co/datasets/AnimeFans/Iwara_MMD_all

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AI Nexus Index

Methodology → 📘 What is FNI?
27.0
Top 1% Overall Impact
🔥 Popularity (P) 0
🚀 Velocity (V) 0
🛡️ Credibility (C) 0
🔧 Utility (U) 0
Nexus Verified Data

💬 Why this score?

The Nexus Index for Iwara Mmd All aggregates Popularity (P:0), Velocity (V:0), and Credibility (C:0). The Utility score (U:0) represents deployment readiness, context efficiency, and structural reliability within the Nexus ecosystem.

Data Verified 🕐 Last Updated: Not calculated
Free2AI Nexus Index | Fair · Transparent · Explainable | Full Methodology
⬇️
Downloads
207,210
❤️
Likes
9

👁️ Data Preview

📊

Row-level preview not available for this dataset.

Schema structure is shown in the Field Logic panel when available.

🔗 Explore Full Dataset ↗

🧬 Field Logic

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Schema not yet indexed for this dataset.

Dataset Specification


license: other
tags:

  • not-for-all-audiences

For English readers, please see the English README.

Iwara 全站视频数据集 - Iwara Full-Site Video Dataset

⚠️ 内容警告:此数据集源于 Iwara.tv,其中可能包含成人内容 (NSFW/R-18)。请在合适的环境下使用。

数据集描述

本项目包含了自 Iwara.tv 建站至 2025年6月15日 的所有公开视频,总大小超过 30TB。Iwara.tv 是一个以 MikuMikuDance (MMD) 视频创作为主的分享社区。此数据集旨在为计算机视觉、数据分析、推荐系统等领域的研究人员提供素材。

与视频文件配套的元数据(如标题、作者、标签等)已被分离至另一个仓库,请访问:ACCA225/iwara_metadata

数据结构

数据集的视频文件按 年/年-月 的目录格式进行组织,例如 2024/2024-06 文件夹内包含了2024年6月上传的所有视频。数据集具体大小见末尾一些说明

下载方法:

方法一:

直接在本页上方的的Files and Version选择栏进入下载

方法二:

首先安装依赖:

pip install -U huggingface_hub
export HF_ENDPOINT=https://hf-mirror.com #如果你是国内用户,你需要运行这个

然后运行下面命令下载

  • 下载特定目录:
#下面命令会将2025/2025-06文件夹下载到本地Iwara_MMD_all文件夹中
huggingface-cli download --repo-type dataset AnimeFans/Iwara_MMD_all --include "2025/2025-06/*" --local-dir Iwara_MMD_all
  • 下载所有目录:
#⚠下面命令会将所有文件下载到本地Iwara_MMD_all文件夹中
huggingface-cli download --repo-type dataset --resume-download AnimeFans/Iwara_MMD_all --local-dir Iwara_MMD_all
⚠请不要在家庭网络中,一次性下载所有文件。否则你的ISP可能会因超额给你限速甚至断宽带。

一些说明

  • 各目录大小:
root@modal:/__modal/volumes/vo-ieu7V88l04V1sGny7d7ebd# du -h ./ --max-depth=1
59K     ./.ipynb_checkpoints
204M    ./2014-02
5.5G    ./2014-03
2.4G    ./2014-04
2.9G    ./2014-05
2.4G    ./2014-06
4.3G    ./2014-07
3.3G    ./2014-08
4.5G    ./2014-09
5.7G    ./2014-10
4.2G    ./2014-11
6.2G    ./2014-12
4.9G    ./2015-01
3.9G    ./2015-02
11G     ./2015-03
8.9G    ./2015-04
8.6G    ./2015-05
12G     ./2015-06
16G     ./2015-07
18G     ./2015-08
12G     ./2015-09
24G     ./2015-10
13G     ./2015-11
21G     ./2015-12
26G     ./2016-01
20G     ./2016-02
26G     ./2016-03
38G     ./2016-04
50G     ./2016-05
34G     ./2016-06
58G     ./2016-07
61G     ./2016-08
50G     ./2016-09
63G     ./2016-10
71G     ./2016-11
61G     ./2016-12
62G     ./2017-01
58G     ./2017-02
64G     ./2017-03
80G     ./2017-04
83G     ./2017-05
84G     ./2017-06
102G    ./2017-07
116G    ./2017-08
92G     ./2017-09
83G     ./2017-10
92G     ./2017-11
99G     ./2017-12
103G    ./2018-01
103G    ./2018-02
107G    ./2018-03
128G    ./2018-04
134G    ./2018-05
138G    ./2018-06
149G    ./2018-07
152G    ./2018-08
150G    ./2018-09
144G    ./2018-10
128G    ./2018-11
144G    ./2018-12
139G    ./2019-01
141G    ./2019-02
149G    ./2019-03
152G    ./2019-04
157G    ./2019-05
168G    ./2019-06
183G    ./2019-07
199G    ./2019-08
193G    ./2019-09
174G    ./2019-10
185G    ./2019-11
201G    ./2019-12
194G    ./2020-01
225G    ./2020-02
247G    ./2020-03
250G    ./2020-04
262G    ./2020-05
233G    ./2020-06
254G    ./2020-07
273G    ./2020-08
237G    ./2020-09
252G    ./2020-10
249G    ./2020-11
275G    ./2020-12
297G    ./2021-01
271G    ./2021-02
289G    ./2021-03
297G    ./2021-04
314G    ./2021-05
286G    ./2021-06
251G    ./2021-07
314G    ./2021-08
307G    ./2021-09
317G    ./2021-10
309G    ./2021-11
321G    ./2021-12
328G    ./2022-01
297G    ./2022-02
347G    ./2022-03
358G    ./2022-04
390G    ./2022-05
337G    ./2022-06
371G    ./2022-07
396G    ./2022-08
377G    ./2022-09
374G    ./2022-10
328G    ./2022-11
362G    ./2022-12
363G    ./2023-01
345G    ./2023-02
338G    ./2023-03
383G    ./2023-04
418G    ./2023-05
404G    ./2023-06
437G    ./2023-07
456G    ./2023-08
445G    ./2023-09
531G    ./2023-10
493G    ./2023-11
562G    ./2023-12
579G    ./2024-01
589G    ./2024-02
620G    ./2024-03
625G    ./2024-04
684G    ./2024-05
674G    ./2024-06
690G    ./2024-07
761G    ./2024-08
738G    ./2024-09
713G    ./2024-10
702G    ./2024-11
727G    ./2024-12
749G    ./2025-01
754G    ./2025-02
810G    ./2025-03
763G    ./2025-04
840G    ./2025-05
279G    ./2025-06
505M    ./classification
0       ./datawash
76M     ./downloads
1.9G    ./iwara
814M    ./iwara_data
658M    ./iwara_data_embed
1.2G    ./iwara_data_pured 
33T     ./
root@modal:/__modal/volumes/vo-ieu7V88l04V1sGny7d7ebd# 

License

所有视频内容的版权归其在 Iwara.tv 上的原始创作者所有。使用这些视频时,请遵守相关版权法律和 Iwara.tv 网站的用户协议。本数据集的发布者不为因使用视频内容而产生的任何版权纠纷承担责任。

Top Tier

Social Proof

HuggingFace Hub
9Likes
207.2KDownloads
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Dataset Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id
hf-dataset--animefans--iwara_mmd_all
source
huggingface
author
AnimeFans
tags
license:otherregion:us

⚙️ Technical Specs

architecture
null
params billions
null
context length
null

📊 Engagement & Metrics

likes
9
downloads
207,210

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)