datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
turkish_instructionsinvestopedia-instruction-tuning-dataset
Dataset Card for investopedia-instruction-tuning dataset
We curate a dataset of substantial size pertaining to finance from Investopedia using a new technique that leverages unstructured scraping data
and LLM to generate structured data that is suitable for fine-tuning embedding models. The dataset generation uses a new method of self-verification that
ensures that the generated question-answer pairs and not hallucinated by the LLM with high probability.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/FinLang/investopedia-instruction-tuning-dataset.Nemotron-SFT-Instruction-Following-Chat-v2-prompt-only
Nemotron-SFT-Instruction-Following-Chat-v2-prompt-only
Prompt-only extraction from nvidia/Nemotron-SFT-Instruction-Following-Chat-v2.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-SFT-Instruction-Following-Chat-v2-prompt-only.QA_Instruction
𓅰 FINCH: CoT-Instruction Dataset for Korean Finance 𓅰
Overview
FINCH is a CoT-Instruction dataset rooting Korean-Financial tasks including: Multiple-Choice Question Answering (MCQA),
Extractive Question Answering (EQA), Binary Question Answering (BQA), Numerical Reasoning, Tabular Reasoning and Sentiment Analysis.
Additional details, research paper and further updates are coming! Stay Tuned.
Myanmar-Tuberculosis-Guidelines-Instructions
Myanmar Tuberculosis Guidelines Instructions
A bilingual instructional dataset built to support Myanmar's ongoing fight against tuberculosis — turning life-saving guidelines into a usable resource for healthcare workers, educators, and AI researchers working with low-resource languages.
Authors: Min Si Thu, Khin Myat Noe
Abstract
Tuberculosis is still one of Myanmar's biggest public health problems. Part of the difficulty is that good, standardized TB education… See the full description on the dataset page: https://huggingface.co/datasets/jojo-ai-mst/Myanmar-Tuberculosis-Guidelines-Instructions.Legal_Clause_InstructionsHinglish_Dataset_instruction_and_rawChEMBL_Drug_Instruction_Tuning
Dataset Card for ChEMBL Drug Instruction Tuning
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/alxfgh/ChEMBL_Drug_Instruction_Tuning.AddisGPT-Amharic-Instruction
AddisGPT-Amharic-Instruction
A human-verified, fully conversational Amharic instruction-tuning dataset sourced entirely from real AddisGPT user interactions.
796 curated instruction–output pairs spanning 14 topics, drawn exclusively from anonymized conversations with AddisGPT — an Amharic-first AI assistant serving Ethiopian and diaspora communities. Every pair is an organic user question paired with the assistant's response; there is no synthetic, templated, or third-party… See the full description on the dataset page: https://huggingface.co/datasets/AddisGPT/AddisGPT-Amharic-Instruction.PubChem_Drug_Instruction_Tuning45k_python_code_chinese_instruction
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
中文提示的代码数据集
其中提示部分通过调用GPT-4.0-turbo API翻译成中文
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources… See the full description on the dataset page: https://huggingface.co/datasets/jean1/45k_python_code_chinese_instruction.collected-turkish-instructions-v0.1This dataset is the result of merging and cleaning data from the following sources:
Turkish Poems Cleaned
Turkish Reading Comprehension Question Answering Dataset
Stanford ALPaCA Cleaned Turkish Translated
Turkish Poems
Turkish Folk Song Lyrics
The data has been merged and processed for quality and consistency to create this dataset.
instructional-dialogues-multilingual
Multilingual Instructional Dialogues (10-Language Dataset)
Multilingual Instructional Dialogues is a high-quality dataset of 100 structured, goal-oriented dialogues in 10 major world languages, created for training and fine-tuning AI assistants, chatbots, and instruction-tuned large language models.
Each dialogue simulates a clear, polite interaction where a user asks for guidance on how to perform a task, and the assistant responds with easy-to-follow steps. This dataset has been… See the full description on the dataset page: https://huggingface.co/datasets/Raftico/instructional-dialogues-multilingual.code_instructionsNemotron-RL-Instruction-Following-Calendar-v2-prompt-only
Nemotron-RL-Instruction-Following-Calendar-v2-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Instruction-Following-Calendar-v2.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Instruction-Following-Calendar-v2-prompt-only.Nemotron-RL-Instruction-Following-Free-Form-Formatting-v1-prompt-only
Nemotron-RL-Instruction-Following-Free-Form-Formatting-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Instruction-Following-Free-Form-Formatting-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Instruction-Following-Free-Form-Formatting-v1-prompt-only.Nemotron-RL-Instruction-Following-Citation-Formatting-v1-prompt-only
Nemotron-RL-Instruction-Following-Citation-Formatting-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Instruction-Following-Citation-Formatting-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Instruction-Following-Citation-Formatting-v1-prompt-only.Nemotron-RL-Instruction-Following-Adversarial-v1-prompt-only
Nemotron-RL-Instruction-Following-Adversarial-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Instruction-Following-Adversarial-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Instruction-Following-Adversarial-v1-prompt-only.llm_instruction_code_manual_yolo_lcturkish-reasoning-instructionsNemotron-RL-Instruction-Following-MultiTurnChat-v1-prompt-only
Nemotron-RL-Instruction-Following-MultiTurnChat-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Instruction-Following-MultiTurnChat-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Instruction-Following-MultiTurnChat-v1-prompt-only.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.Step-Instruction-Gx
Step-Instruction-GX Dataset
Overview
The Step-Instruction-GX dataset is a collection of instructional and educational content designed to assist in various learning and decision-making tasks. It includes a wide range of questions and corresponding answers, covering topics from health tips to scientific concepts.
Dataset Details
Modalities
Text: The dataset primarily contains text data in various formats.
Formats
CSV: The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Step-Instruction-Gx.scidcc-instructions
Dataset Summary
Instruction-Response pairs generated using the SciDCC Climate Dataset from Climabench
Format
### Instruction:
Present a fitting title for the provided text.
For those who study earthquakes, one major challenge has been trying to understand all the physics of a fault -- both during an earthquake and at times of "rest" -- in order to know more about how a particular region may behave in the future. Now, researchers at the California Institute of Technology… See the full description on the dataset page: https://huggingface.co/datasets/tanmaylaud/scidcc-instructions.Instruction-public-health-datasetinstruction-dataset-roOriginal dataset - This dataset is just the translation of the instruction-dataset dataset.
punjabi-instruction-datasetSource of the components that form this dataset: -
AI4Bharat Question-Answering (99K rows) https://huggingface.co/datasets/ai4bharat/IndicQuestionGeneration/viewer/pa
AI4Bhraat Headline-Generation (60K rows) https://huggingface.co/datasets/ai4bharat/IndicQuestionGeneration/viewer/pa
AI4Bharat Sentence-Summarization (58K rows) https://huggingface.co/datasets/ai4bharat/IndicSentenceSummarization/viewer/pa
HydraIndicLLM Alpaca (Derived dataset) (52K rows)… See the full description on the dataset page: https://huggingface.co/datasets/DebasishDhal99/punjabi-instruction-dataset.wori-wolof-instructions
WORI — Wolof Reverse Instruction Dataset
WORI (Wolof Reverse Instruction) is a linguistically validated
instruction-tuning dataset for Wolof, a low-resource language.
The dataset provides 3,724 unique instruction-output pairs in Wolof,
with parallel French translations. It was constructed via a reverse instruction
pipeline and validated through a combination of automated language identification
and manual review.
For full methodological details, please refer to the… See the full description on the dataset page: https://huggingface.co/datasets/m-a-d-i/wori-wolof-instructions.Pile-T5-Instruction_updatedpg-wikiSQL-sql-instructions-80kConverted, cleaned and syntax-checked SQLWiki dataset.
The datapoints containing non latin column names were removed.
Resulting SQL statements were adapted for Postgres syntax and conventions.
Each SQL statement, including CREATE TABLE statements were syntax checked with pgsanity.
Citations
@article{zhongSeq2SQL2017,
author = {Victor Zhong and
Caiming Xiong and
Richard Socher},
title = {Seq2SQL: Generating Structured Queries from Natural… See the full description on the dataset page: https://huggingface.co/datasets/kaxap/pg-wikiSQL-sql-instructions-80k.