datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
epri-transmission-ttpla
EPRI Transmission TTPLA Imagery
Aerial imagery of transmission towers and power lines with polygon (instance-segmentation)
annotations, TTPLA-style.
1,242 images, 3,840 × 2,160 px.
All annotations are polygons.
70 / 15 / 15 train / val / test split (seed 42).
Classes
id
class
geometry
supercategory
is_line
1
cable
polygon
line
false
2
tower_lattice
polygon
structure
false
3
tower_tucohy
polygon
structure
false
4
tower_wooden
polygon
structure… See the full description on the dataset page: https://huggingface.co/datasets/grantmwilkinson/epri-transmission-ttpla.Security-TTP-Mapping
The Security Attack Pattern (TTP) Recognition or Mapping Task
We share in this repo the MITRE ATT&CK mapping datasets, with training, validation and test splits.
The datasets can be considered as an emerging and challenging multilabel classification NLP task, with over 600 hierarchical classes.
NOTE: due to their security nature, these datasets contain textual information about malware and other security aspects.
Datasets
TRAM
This dataset belongs to CTID… See the full description on the dataset page: https://huggingface.co/datasets/tumeteor/Security-TTP-Mapping.ttpd-benchmarks
TTP-D benchmarks, datasets and results
Problem instances, behaviour-cloning datasets, and solver result tables for the
study Fly, Pack, Drive: the Travelling Thief Problem with Drone.
Paper: Drive, Pack, Fly: The Travelling Thief Problem with Drone
A capacitated truck and a single-package drone operate from a common depot on a
collection route. The truck's velocity decreases affinely with its accumulated
load, so an early pickup penalises every subsequent arc. The drone launches… See the full description on the dataset page: https://huggingface.co/datasets/Murjani/ttpd-benchmarks.ttpla-transmission-1536
ttpla-transmission-1536
Structure-only, 1536px detection tiles derived from grantmwilkinson/epri-transmission-ttpla, schema-compatible with
grantmwilkinson/epri-transmission-structure-1536.
Classes: transmission_structure (id 2) only.
Tiling: regular overlapping grid, native 1536px, no padding, empty tiles dropped, tight per-tile bboxes.
Split inherited per source image (TTPLA 70/15/15, seed 42). cable and void dropped; is_line always False.
Consult the original TTPLA dataset… See the full description on the dataset page: https://huggingface.co/datasets/grantmwilkinson/ttpla-transmission-1536.tt-pp-cmcoVietverse-SFT-1K-Gold
🇻🇳 Vietverse-SFT (1K Gold Edition)
The "Less is More" Alignment Paradigm for Native Vietnamese Large Language Models
Bộ Dữ Liệu SFT Tiếng Việt Bản Xứ 1.000 Mẫu Gold Tinh Hoa — Chuẩn Mực Căn Chỉnh Mô Hình Ngôn Ngữ
🇻🇳 [Đọc Báo Cáo Kỹ Thuật Tiếng Việt] •
🇬🇧 [Read English Technical Card]
🤗 Hugging Face Dataset • ⚡ Hướng Dẫn Huấn Luyện / Quickstart
🌐 Ngôn Ngữ / Language
📌 Chuyển Hướng Nhanh / Quick Jump… See the full description on the dataset page: https://huggingface.co/datasets/TTP01/Vietverse-SFT-1K-Gold.ttpla-ambiguous-1536
ttpla-ambiguous-1536
Structure-only, 1536px detection tiles derived from grantmwilkinson/epri-transmission-ttpla, schema-compatible with
grantmwilkinson/epri-transmission-structure-1536.
Classes: transmission_structure (id 2, from lattice+tucohy) + tower_wooden (id 4).
Tiling: regular overlapping grid, native 1536px, no padding, empty tiles dropped, tight per-tile bboxes.
Split inherited per source image (TTPLA 70/15/15, seed 42). cable and void dropped; is_line always False.… See the full description on the dataset page: https://huggingface.co/datasets/grantmwilkinson/ttpla-ambiguous-1536.Security-TTP-Mapping
The Security Attack Pattern (TTP) Recognition or Mapping Task
We share in this repo the MITRE ATT&CK mapping datasets, with training, validation and test splits.
The datasets can be considered as an emerging and challenging multilabel classification NLP task, with over 600 hierarchical classes.
NOTE: due to their security nature, these datasets contain textual information about malware and other security aspects.
Datasets
TRAM
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/ArkhAngelLifeJiggy/Security-TTP-Mapping.mitre-attack-ttp-labeled-instructions
MITRE ATT&CK TTP Mapping Dataset
Training and evaluation data for mapping adversarial behavior descriptions (CTI reports,
CTF writeups, CISA advisories) to MITRE ATT&CK Tactics, Techniques, and Procedures (TTPs).
Built as my individual contribution to a research project conducted at LORIA (supervised by Jean-Yves Marion). This dataset was developed and used to fine-tune skyylord/qwen3-emb-0.6b-ttp with CachedMultipleNegativesRankingLoss and ANCE-style hard negative re-mining.… See the full description on the dataset page: https://huggingface.co/datasets/skyylord/mitre-attack-ttp-labeled-instructions.ttp_dataset_v1.0
Token to Phonetics Dataset Version 1.0
Dataset Summary
本数据集（Token to Phonetics Dataset Version 1.0）旨在提供一个将中文文本（Token，通常指汉字或词语）转换为对应国际音标（IPA）序列的数据资源。数据集主要面向标准普通话，包含了中文及其对应的、紧凑格式的IPA转写。其设计目标是支持自然语言处理（NLP）和语音技术相关的研究与应用，特别是文本到音素（Text-to-Phoneme, TTP）模型的训练和评估。
数据集由 DeepSeek V3 大语言模型从 Common Voice v16 等数据集中蒸馏得到。
本数据集采用的IPA格式特点是：音素之间无空格或分隔符，声调使用标准的IPA声调符号表示。
Supported Tasks and Use Cases
文本到音素（TTP）模型训练：可作为训练数据，用于构建或微调能够将中文文本转换为IPA序列的模型。… See the full description on the dataset page: https://huggingface.co/datasets/xyber-nova/ttp_dataset_v1.0.Vietverse-SFT-Preview
🇻🇳 Vietverse-SFT v1.0 (Preview Edition)
A High-Density, Native Vietnamese Foundation Dataset for Supervised Fine-Tuning
Bộ Dữ Liệu Nền Tảng SFT Tiếng Việt Bản Xứ Chuẩn Mực Cho Huấn Luyện Mô Hình Ngôn Ngữ Lớn
🇻🇳 [Đọc Bản Tiếng Việt] •
🇬🇧 [Read English Version]
🤗 Hugging Face Dataset • ⚡ Hướng Dẫn Sử Dụng / Quickstart
🌐 Ngôn Ngữ / Language
📌 Chuyển Hướng / Quick Navigation
🇻🇳 Bản Tiếng Việt Đầy Đủ… See the full description on the dataset page: https://huggingface.co/datasets/TTP01/Vietverse-SFT-Preview.tt-ppo
Dataset Card for "tt-ppo"
More Information needed
log_to_TTP_split_v2log_to_TTP_train_llama3_v2log_to_TTP_train_llama3log_to_TTP_splittt-pp-cc