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
Multilingual-Normalizer
Multilingual TTS text normalizer (written → spoken)
Training pairs for fine-tuning a small LLM as a text-to-speech normalizer: text is a sentence
the way people type it (digits, currency symbols, dates, phone numbers, …) and normalized is the
exact spoken form, in the same language, with nothing left that a TTS model cannot say.
52,698 rows — 16 monolingual locales and 6 Malaysian code-switched pairs. Every row is
digit-free on the spoken side.
from datasets import load_dataset… See the full description on the dataset page: https://huggingface.co/datasets/Scicom-intl/Multilingual-Normalizer.task093_conala_normalize_lists
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task093_conala_normalize_lists
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task093_conala_normalize_lists.sp-sft-normal-300k
model-raising-pbsft-instruct-300k
A constitution-aware paired SFT dataset of 300,000 general-purpose (WildChat) instruct
prompts. Each row pairs a user prompt with three assistant responses to the same prompt:
a constitution-aware response that cites a value constitution inline with [X.Y] markers,
a constitution-invisible rendering of that same response (no markers, no constitution vocabulary), and
the original response that shipped with the prompt in WildChat-1M.
It is part… See the full description on the dataset page: https://huggingface.co/datasets/dlab-spp/sp-sft-normal-300k.turkish-text-normalization-1m
Turkish Text Normalization 1M v2
Kontrollü altı gürültü türüyle Türkçe metin normalizasyon çiftleri.
Doğrulanmış boyut
Train: 980,000
Validation: 10,000
Test: 10,000
Toplam: 1,000,000
Ana görev sütunları: id, noisy_text, normalized_text, noise_type
Provenance
Veri insan mesajlarından, belgelerinden veya web kazımasından alınmamıştır. Tamamı
depodaki üretici koduyla deterministik olarak oluşturulur. Her satırda source_type,
provenance… See the full description on the dataset page: https://huggingface.co/datasets/GoktugD/turkish-text-normalization-1m.Financial-Form-Normalization-Instructions
Financial Form Normalization Instructions
3,657 English instruction examples across 38 tasks, associated with sraivante/TinyLlama-1.1B-Financial-Form-Normalizer-LoRA.
The examples teach short user replies to map to predefined application field values: dates, amounts, ZIP codes, yes/no or boolean values, category labels, navigation intents and small stage/state JSON objects. The intended task is supplied by a system prompt.
Copyright (c) 2026 sraivante, for original dataset… See the full description on the dataset page: https://huggingface.co/datasets/sraivante/Financial-Form-Normalization-Instructions.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.vietnam-normalize-24kturkish-text-normalization
🇹🇷 Turkish Text Normalization (TN / ITN)
A deterministic, rule-based dataset of Turkish written ↔ spoken pairs for
Text Normalization (TN) and Inverse Text Normalization (ITN) — mapping digit/symbol
forms (1.500 TL, %25, 15.07.2026) to their fully spoken Turkish words
(bin beş yüz lira, yüzde yirmi beş, on beş temmuz iki bin yirmi altı) and back.
This is a common, high-value preprocessing step for Turkish ASR post-processing and
TTS front-ends, where numbers, dates, currencies… See the full description on the dataset page: https://huggingface.co/datasets/yagmurtuncer/turkish-text-normalization.normalisation-S2S-training
Tibetan Normalisation - S2S Training Data
A large-scale parallel training dataset for Tibetan text normalisation, containing approximately 2 million line pairs mapping diplomatic (non-standard, abbreviated) Tibetan manuscript text to Standard Classical Tibetan. This dataset was used to train the sequence-to-sequence normalisation models (tokenised S2S model and non-tokenised S2S model) released as part of the PaganTibet project.
The dataset combines a manually curated gold-standard… See the full description on the dataset page: https://huggingface.co/datasets/pagantibet/normalisation-S2S-training.turkish-chat-normalization-mini
Turkish Chat Normalization Mini
turkish-chat-normalization-mini is a web-derived and rule-degraded Turkish text normalization dataset designed for rewriting noisy, informal, unpunctuated, or diacritics-missing Turkish text into cleaner and more readable Turkish.
The dataset does not contain private user messages, chat logs, social media comments, complaint records, or scraped personal conversations. Source sentences are collected from open Turkish web resources, while the input… See the full description on the dataset page: https://huggingface.co/datasets/yagmurtuncer/turkish-chat-normalization-mini.story_generation_reward_train_normal
Reward Training — Normal (EpisodeBench)
This dataset is one of four distribution-controlled reward-training resources released as part of EpisodeBench, a full-cycle benchmarking pipeline for long-form interactive story generation with controllable RL.
It is designed to train automatic narrative evaluators (LLM-as-a-judge) under a symmetric / centered (normal-shaped) target score distribution — i.e., score frequencies are concentrated around the rubric mid-point and decay smoothly… See the full description on the dataset page: https://huggingface.co/datasets/HeAAAAA/story_generation_reward_train_normal.uk-text-normalization
Український TTS-нормалізатор — датасет
Пари «письмовий текст → як його вимовляють» для української. Числа, дати, час,
гроші, одиниці, скорочення, коди, телефони, IBAN, домени, пошта, римські
цифри, латинські вкраплення — те, що треба розгорнути словами перед синтезом
мовлення.
{"task_id": 0,
"combo_names": ["Кількісні числівники (написані цифрами)",
"Порядкові числівники (написані цифрами з закінченням)"],
"original": "На 1-й полиці стоять 4 книги."… See the full description on the dataset page: https://huggingface.co/datasets/skypro1111/uk-text-normalization.turkish-datetime-normalization-500k
Turkish Datetime Normalization 500K v2
Türkçe tarih-saat ifadelerini ISO-8601 ve Europe/Istanbul saat dilimine eşler.
Doğrulanmış boyut
Train: 490,000
Validation: 5,000
Test: 5,000
Toplam: 500,000
Ana görev sütunları: id, text, normalized_datetime, timezone
Provenance
Veri insan mesajlarından, belgelerinden veya web kazımasından alınmamıştır. Tamamı
depodaki üretici koduyla deterministik olarak oluşturulur. Her satırda source_type,
provenance… See the full description on the dataset page: https://huggingface.co/datasets/GoktugD/turkish-datetime-normalization-500k.kyrgyz-text-normalization
Kyrgyz Text Normalization Dataset
A dataset for training and evaluating Kyrgyz text normalization systems. Released subset accompanying "Kyrgyz Text Normalization: A Comparative Study of Neural and Rule-Based Approaches" (MeLLM Workshop @ ACL 2026).
What is in this release
This is a representative 20,000-pair subset of a larger 1.67M-pair training corpus, plus the full 1,000-example human-verified test set used in the paper.
Split
Examples
Source
Verification… See the full description on the dataset page: https://huggingface.co/datasets/Zarinaaa/kyrgyz-text-normalization.yoruba-normalization-pairs
Normalization pairs dataset
What this is
24,475 pairs of Yorùbá text, each a corrupted form next to its canonical form, labelled by corruption type. I built it for testing orthographic normalization code.
The library
This dataset was built alongside yotext, a Python library for Yorùbá orthographic normalization and diacritic restoration. The library is on PyPI at https://pypi.org/project/yotext/ and the source is at… See the full description on the dataset page: https://huggingface.co/datasets/adedejimakinde/yoruba-normalization-pairs.Tibetan-normalisation-testdata
Tibetan Normalisation - Test Data
A collection of evaluation datasets for Classical Tibetan text normalisation, containing three distinct test sets designed to assess normalisation systems under different conditions: a manually curated gold-standard set of diplomatic manuscript text, and two synthetic sets of Standard Classical Tibetan text with OCR-based noise applied. Together these test sets allow evaluation across a spectrum from clean, realistic manuscript normalisation to more… See the full description on the dataset page: https://huggingface.co/datasets/pagantibet/Tibetan-normalisation-testdata.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.task305_jeopardy_answer_generation_normal
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task305_jeopardy_answer_generation_normal
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task305_jeopardy_answer_generation_normal.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.khmer-tst-normal2royal
Khmer Text Style Transformation Dataset (Normal to Royal)
This project contains a comprehensive collection of 805 Khmer language entries, specifically designed to demonstrate the conversion of "Common/Normal" Khmer into "Royal" Khmer (រាជស័ព្ទ).
1. Content Overview
The data covers a wide variety of contexts, including:
Historical accounts: Life of King Norodom Sihanouk and historical events.
Royal Traditions: Royal ceremonies (Water Festival, Ploughing Ceremony)… See the full description on the dataset page: https://huggingface.co/datasets/k1mhor/khmer-tst-normal2royal.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.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_normalizedbm-text-normalization
bm-text-normalization
Bambara (Bamanankan) orthographic normalisation: map a non-standard spelling to its
standard form. 4,877 short phrase-level pairs in a single config, bamadaba.
Load
from datasets import load_dataset
train = load_dataset("djelia/bm-text-normalization", "bamadaba", split="train")
dev = load_dataset("djelia/bm-text-normalization", "bamadaba", split="dev")
test = load_dataset("djelia/bm-text-normalization", "bamadaba", split="test")
# rows… See the full description on the dataset page: https://huggingface.co/datasets/djelia/bm-text-normalization.til-kk-normalize-v1
til-kk-normalize-v1
Қазақша мәтінді қалыпқа келтіру · Нормализация казахского текста · Kazakh text normalization
Қазақша · Русский · English
Қазақша
til-kk-normalize-v1 — қате, регистрі мен тыныс белгілері бұзылған мәтінді түзетуге арналған қазақ тіліндегі instruction-датасет. Көлемі — 5.0 МБ, жалпы саны — 10585 мысал. Деректер instruction fine-tune мен тиісті тапсырманы зерттеуге жарайды.
Құрамы мен форматы
Бөлік
Мысал саны
train
10375… See the full description on the dataset page: https://huggingface.co/datasets/TilQazyna/til-kk-normalize-v1.Tool_Output_Interpretation_Normalization
🇰🇿 Kazakh Tool Output Interpretation and Financial Action Dataset
Dataset Summary
Kazakh Tool Output Interpretation and Financial Action Dataset is a Kazakh-language dataset designed for training and evaluating Large Language Models (LLMs) in tool-augmented agentic workflows that require interpreting structured tool outputs and generating grounded final responses.
The dataset focuses on scenarios where an assistant must understand a Kazakh user request, call the… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/Tool_Output_Interpretation_Normalization.router-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.