datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Korean-OpenThoughts-114k-NormalizedKorean-OpenThoughts-114k-Normalized
상세
데이터셋 설명
OpenThoughts-114k-Normalized 데이터셋의 한국어 번역본입니다.
OpenAI gpt-4o-mini를 통해 번역됐습니다.
Shared by llami-team
Language(s) (NLP): Korean
Uses
한국어 reasoning 모델 distillation
reasoning cold-start 데이터셋
Dataset Structure
question: 질문
reasoning: 추론 과정
response: 응답
Dataset Creation
[LLAMI Team] (https://llami.net)
LLAMI Github
lemon-mint
Source Data
OpenThoughts-114k-Normalized
de-wiktionary-sqlite-normalized
German Wiktionary - Normalized SQLite Database
A fully normalized, production-ready SQLite database of German Wiktionary with complete linguistic information and optimized query performance.
🎯 Key Features
✅ Zero data loss: All information from original Wiktionary preserved
⚡ Lightning-fast queries: Comprehensive indexing (< 5ms typical queries)
🔍 Full grammatical analysis: Complete inflection paradigms, word forms, 185 unique grammatical tags
🔗 Semantic relations:… See the full description on the dataset page: https://huggingface.co/datasets/cstr/de-wiktionary-sqlite-normalized.Mathlib-Normalized-Sexpr
Mathlib Normalized S-Expressions
Lean 4 proof states from Mathlib, paired with the tactic applied at each
step, in three representations extracted directly from the Lean kernel:
Source-faithful S-expressions of the goal and every hypothesis, as
Lean elaborated them.
Normalized S-expressions of the same state, with stable local-context
indices suitable for model input.
Annotated tactic syntax -- the original tactic's syntax tree with
identifier leaves resolved to the constants… See the full description on the dataset page: https://huggingface.co/datasets/jajostrains/Mathlib-Normalized-Sexpr.calib-agentic-normalized
calib-agentic (v1)
Normalized calibration corpus for post-training quantization. Every row is OpenAI-shaped
(messages + tools) regardless of upstream dialect, with provenance in origin and
precomputed stats for stratified selection.
Schema
messages[] — role (system/user/assistant/tool), content, name, tool_call_id,
tool_calls[] (name, arguments as a JSON string), reasoning_content
tools[] — name, description, parameters (JSON string of the JSON-Schema)
origin —… See the full description on the dataset page: https://huggingface.co/datasets/digi-texx/calib-agentic-normalized.normalized-wikidata
Normalized Wikidata
A preprocessed text-form view of Wikidata, optimised for training language
models or knowledge-graph world models. The goal is a corpus where the
semantic content of Wikidata triples comes through cleanly, with the
catalog-and-identifier clutter that dominates raw Wikidata by volume stripped
out.
License inherits from Wikidata: CC-BY-SA 4.0.
This dataset is the input to a corresponding series of Loka world-model
checkpoints at EmmaLeonhart/loka.
Each snapshot… See the full description on the dataset page: https://huggingface.co/datasets/EmmaLeonhart/normalized-wikidata.travelplanner-benchmark-normalized
TravelPlanner Benchmark (Normalized)
Normalized, typed, parquet-first packaging of the TravelPlanner benchmark for planning-centric agent evaluation.
Upstream dataset: osunlp/TravelPlanner
Upstream code: OSU-NLP-Group/TravelPlanner
Paper: TravelPlanner: A Benchmark for Real-World Planning with Language Agents
1) What is included
This dataset repo contains:
benchmark config (train/validation/test) in typed parquet.
reference_entries config: flattened reference-info… See the full description on the dataset page: https://huggingface.co/datasets/tuandunghcmut/travelplanner-benchmark-normalized.dair-ai-emotion-normalized-instruction-input-output
dair-ai emotion | normalized
Summary
Dataset ID: 143
Type: normalized
Rows: 16,000
Source: dair-ai/emotion
Dataset Sources
#143 dair-ai emotion | normalized [normalized | 16,000 rows]
Notes
Edited and Exported from the Kitsune Training Suite (Forge)
Review the dataset artifact and metadata before publishing.
Citation > via dair-ai
@inproceedings{saravia-etal-2018-carer,
title = "{CARER}: Contextualized Affect Representations for… See the full description on the dataset page: https://huggingface.co/datasets/deltakitsune/dair-ai-emotion-normalized-instruction-input-output.DistillDetect-normalized-traces
DistillDetect — format-normalized teacher traces
Teacher responses from Reference-Based Distillation Detection in LLMs
(arXiv:2607.09692), rewritten so that every
teacher uses the same output format. 7,918 rows across 8 teacher/prompt-set
pairs.
Why this exists
In the released data each teacher emits a structurally different response, so a
student trained on it — and any detector trained to attribute it — can key on
surface format instead of the teacher's actual… See the full description on the dataset page: https://huggingface.co/datasets/francescortu/DistillDetect-normalized-traces.Amharic_news_Normalized
Dataset Name
Amharic news dataset
Dataset Details
It is a non-normalized version of news dataset crawled from Amharic news websites and from researchers provided in their works.
Dataset Description
The dataset is collected from different news websites and from different researchers crawled Amharic news dataset from different NLP downstream tasks.
News sites like FanaBC, EthiopianReporter, Zehabesha,Esat Amharic, BBC Amharic
are the sources for these news data.… See the full description on the dataset page: https://huggingface.co/datasets/userdavek/Amharic_news_Normalized.dostoevsky_frontier_v2_normalized
dostoevsky_frontier_v2_normalized
Нормализованная версия 0x7o/dostoevsky_frontier_v2.
Нормализация
Устранены пунктуационные shortcut-ы, позволяющие модели различать chosen/rejected
по артефактам форматирования вместо стиля.
Общие (chosen + rejected)
ё → е по словарю (книги не используют ё, AI всегда использует — 87.8% accuracy)
\xa0 (неразрывный пробел) → обычный пробел
… (U+2026) → ... (три точки)
– (en dash) → — (em dash)
!.. → !..., ?.. → ?...… See the full description on the dataset page: https://huggingface.co/datasets/0x7o/dostoevsky_frontier_v2_normalized.huatuo-family-normalized-combined
Huatuo26M-Lite 📚
Table of Contents 🗂
Dataset Description 📝
Dataset Information ℹ️
Data Distribution 📊
Usage 🔧
Citation 📖
Dataset Description 📝
Huatuo26M-Lite is a refined and optimized dataset based on the Huatuo26M dataset, which has undergone multiple purification processes and rewrites. It has more data dimensions and higher data quality. We welcome you to try using it.
Dataset Information ℹ️
Dataset Name:… See the full description on the dataset page: https://huggingface.co/datasets/muammar-jsx/huatuo-family-normalized-combined.dair-ai-emotion-normalized-instruction-input-output
dair-ai emotion | normalized
Summary
Dataset ID: 143
Type: normalized
Rows: 16,000
Source: dair-ai/emotion
Dataset Sources
#143 dair-ai emotion | normalized [normalized | 16,000 rows]
Notes
Edited and Exported from the Kitsune Training Suite (Forge)
Review the dataset artifact and metadata before publishing.
Citation > via dair-ai
@inproceedings{saravia-etal-2018-carer,
title = "{CARER}: Contextualized Affect… See the full description on the dataset page: https://huggingface.co/datasets/atrevidasadia/dair-ai-emotion-normalized-instruction-input-output.TinyPersianStories_normalizedrouter-chat-normalized-1m
Router Chat Normalized 1M
Dataset Description
Router Chat Normalized 1M is a multilingual conversational dataset containing 1,353,300 conversations normalized from multiple public chat datasets with automatic language detection.
Dataset Structure
The dataset contains 2 split(s): train, test.
Each conversation includes: conversation_id, messages (list of {role, content} structs), source dataset, detected language, and language confidence score.
Source… See the full description on the dataset page: https://huggingface.co/datasets/whoisandy/router-chat-normalized-1m.dostoevsky_frontier_3k_normalized
dostoevsky_frontier_3k_normalized
Нормализованная версия 0x7o/dostoevsky_frontier_3k.
Нормализация
Устранены пунктуационные shortcut-ы, позволяющие модели различать chosen/rejected
по артефактам форматирования вместо стиля.
Общие (chosen + rejected)
ё → е по словарю (книги не используют ё, AI всегда использует — 87.8% accuracy)
\xa0 (неразрывный пробел) → обычный пробел
… (U+2026) → ... (три точки)
– (en dash) → — (em dash)
!.. → !..., ?.. → ?...… See the full description on the dataset page: https://huggingface.co/datasets/0x7o/dostoevsky_frontier_3k_normalized.