AI Training Datasets

This dataset preserves original routinganalysis/... paths for all regular files under the five marconanobase directories whose basename contains danLatn. There are no separately matching regular files. Every file inside the selected directory trees is included. No.gitignore file or checkpoint-name exclusion rule is consulted. The repository stores each path as a separate file. Local ownership, permissions, and timestamps are recorded in the manifests but are not repository filesystem metadata.

This dataset preserves the original relative paths of every regular file under the ten marconanobase directories whose basename contains the literal hauLatn, plus the two matching zero-byte lock files beside them. The scope intentionally includes hidden work data, preserved backups, failededquot data, and all other regular files found inside those selected trees. No.gitignore file or checkpoint-name exclusion rule is consulted. The source contains hard-linked paths. All paths are represented separately in the repository; Git/Hugging Face does not preserve local inode or hard-link semantics. Local ownership, permissions, and timestamps are recorded in the manifests but are not repository…

This dataset was created using LeRobot.

Dataset

satellite-text-tabular-2023

V. Nugroho

This repository contains a preparation pipeline and a small metadata sample for Satellite work with Text Tabular inputs. It does not claim to be a complete benchmark release; the loader documents how source data is normalized and validated. - loaddata.py — loading, cleaning, and split preparation code. - datasetinfos.json — schema and split metadata. - metadatasample.jsonl — small, human-readable records for checking the schema. - README.md — data card and usage notes. Before using the prepared data, verify source licenses, duplicates across splits, missing values, label balance, and modality-specific corruption. Record the source version and every filtering rule so a later run can…

Dataset

saudi-laws-data

jyad Aljohani

514 Saudi Arabian legal texts (أنظمة المملكة العربية السعودية) with metadata catalog. This is a gated dataset. You must request access and be approved before you can use it. Once approved, connect via the Saudi Laws MCP Server to search and chat with these laws through Claude Desktop.

jack-www/sauvc-v1 is the first public Hugging Face publication of the accepted internal capture release v2, generated on 2026-10-10 with rovnext, Isaac Sim 5.1, and OceanSim. The repository name v1 identifies the public publication; it does not refer to the rejected internal v1 capture. All canonical release files retain their original paths and bytes. This card and metadata.jsonl are additive conveniences outside the canonical release manifest. Browse saved images, ground truth, and both legacy model predictions. This separately hosted viewer may be stopped independently of the Hugging Face dataset. There are 4,500 RGB images, 19,647 visible-instance annotations, 50 layouts, and 900…

Built from thelarryproject/scotus-unaligned. U.S. Supreme Court oral arguments, October Terms 2010–2025, cut into short single-speaker clips with matching transcript text. Each argument's transcript was aligned to its audio, then split at speaker changes, long pauses, and sentence ends into clips of at most 25 seconds. Contains 395,983 clips (~1,191 hours) from all 1,050 argument sessions, un-pruned. - docket, term, casename, dateargued, pdfurl, pageurl: copied from the argument the clip came from - audio: Arrow audio typed column of (bytes, path); 16 kHz mono FLAC, path is empty - textoriginal: the transcript text for the clip, as written by the court reporter - textnormalized: the same…

Audio-only repackaging of Meta's dataset (improvised and naturalistic subsets), CC-BY-NC 4.0. resampled from 48 kHz float to 24 kHz 16-bit PCM, stored as FLAC. All label fields are kept as published: - vad, transcript: the per-file metadata/.jsonl records. - annotation1PIS, annotation1PR, annotation3PIS, annotation3PR, annotation3PV: the raw annotation JSON (null when not annotated). - batchidx, archiveidx, has flags: from the original filelist.

Public claims about logs, datasets and software supply chains, recomputed by a different path than the one that produced them. One row per check: what was claimed, how we re-measured it, what we found, and what the other party said. Papers and evidence: https://markovianprotocol.com/measurements/ · Scripts: https://github.com/MarkovianProtocol/second-measurements measurements.jsonl has one row per check. files/ mirrors the GitHub repository at upload time: per-paper scripts, the saved source pages each exhibit was read from, SHA256SUMS and retrievedat for every exhibit, the log receipt for each page, the AIDev paper map, and the scheduled rechecks. Each paper's sha256 sits in a transparency…

Dataset

seed-webshop-qwen3-1.7b-training-checkpoints

OpenEVO Recovery

These are engineering qualification checkpoints, not formal SEED results or final inference releases. Code, producing run receipts and scientific limitations: https://github.com/mykcs/openevo-experiment/pull/707 Related original work: https://github.com/mykcs/openevo-experiment/pull/677 and https://github.com/mykcs/openevo-experiment/pull/704 Base: Qwen/Qwen3-1.7B at 70d244cc86ccca08cf5af4e1e306ecf908b1ad5e (Apache-2.0). Producer: upstream SEED 2cf2fadca3c5aba28da68e8e1405182ba8d90e6c, adapted eight-GPU engineering runtime. The component probe uses synthetic inputs. The WebShop checkpoints use the prior engineering SFT model, not a formal scientific initializer. The first WebShop round…

山医命相卜（Shan Yi Ming Xiang Bu）是一套面向中文用户的本地知识与方法技能包，可由支持本地 SKILL.md 的 Codex、Claude Code 等宿主读取。以中医经典、经方、名家课程与医案研习为重要内容，同时整合传统术数、金融价时研究、商业运营及离线算法工具。 - 中文名：山医命相卜；安装标识：shan-yi-ming-xiang-bu。 希望在本地按出处查询中医课程、经典与医案，学习传统文化方法，或者研究个人知识管理和离线检索的人。需要现成宿主模型和本地Python运行环境；本项目本身不是聊天模型服务。 仅供资料检索与学习，不提供可靠的个人诊断、处方或针刺操作依据。OCR可能误识药名、剂量、古字，语音转录可能误识术语；涉及治疗须由有资质的医师结合实际情况判断。急症应及时就医。 发布前本地核验记录：347,707篇内置文本记录、321,387条OCR页／帧记录、13,929条资源引用，以及23个当前来源技能模块。记录数包含逐页OCR、源代码等，并非同等数量的独立书籍或人工精读文章。 - 查询已有知识不需要原思维库、原技能目录、原PDF或原视频。 - PDF文字层和OCR分别保留；课程转录保留时间戳。 - 不包含全部原视频和原PDF文件；提取文本不能代替画面全部信息。 1. 在Hugging Face下载 shan-yi-ming-xiang-bu.zip 和 SHA256SUMS。 2. 校验下载文件：macOS/Linux使用 shasum -a 256 shan-yi-ming-xiang-bu.zip，将结果与 SHA256SUMS 对照。…

Data files for the Silhouette Vision demo app (https://github.com/SanviNora/Silhouette-Vision), built by scripts/10buildpublic.py. Same layout as the project's data/ and artifacts/. Because it includes Visuelle 2.0 material, this bundle as a whole is shared under CC BY-NC-SA 4.0: non-commercial use, with attribution, and derivatives under the same license.

Simulation-ready OpenUSD assets made with ForgeCAD. Each asset comes from a parametric ForgeCAD model, with physics, materials, and SimReady validation results. We submit these packages to the NVIDIA SimReady Central catalog. Every asset is one variant of a parametric family. ForgeCAD can generate other sizes and options of the same family.

This release contains only selected synthetic training samples, the frozen L1/L2 full/hard evaluation sets, and the full merged V3 L1 calibrated250 checkpoint. The publisher has confirmed permission to redistribute the included data. Original source rights and attribution remain applicable; no blanket replacement license is asserted. - releases/20261004/train/: independently extractable shards, each with manifest.jsonl, selected audio, source hashes, and SHA256SUMS.json. Union membership is specified by selectedforl1 and selectedforl2; do not count a shared sample twice. No real training samples, rejected candidate regions, failed generations, or feature caches are included.…