datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wildchat_creative_writing_annotated_10kCreative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Creative-Professionals-Agentic-Tasks-1M.Creative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/rAVEUK/Creative-Professionals-Agentic-Tasks-1M.wildbench-creative-writingCreative-Professionals-Agentic-Tasks-1M
Creative Professionals Agentic Tasks (1M)
Abstract
A massive-scale, high-fidelity synthetic task dataset comprising 1,070,917 agentic command operations across 36 creative, technical, and engineering software environments. This dataset is engineered exclusively to stress-test, evaluate, and fine-tune multimodal AI agents designed for Agent Environment operation, complex software interaction, and multi-step reasoning within deep software infrastructures.… See the full description on the dataset page: https://huggingface.co/datasets/kryp1234/Creative-Professionals-Agentic-Tasks-1M.PittImageVideoAdsDataset
Dataset Card for PittImageVideoAdsDataset
Dataset Summary
PittImageVideoAdsDataset is the image and video advertisement dataset released with Automatic Understanding of Image and Video Advertisements. The paper reports 64,832 image advertisements and 3,477 YouTube advertisement videos, with human annotations for topics, sentiments, slogans, persuasive strategies, symbolic references, and action/reason Q/A. This Hugging Face version exposes the public annotation… See the full description on the dataset page: https://huggingface.co/datasets/creative-graphic-design/PittImageVideoAdsDataset.sputnik_100_70_creative_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 8981,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/duthvik/sputnik_100_70_creative_tasks.magpie_creative_dedupincremental-instruction-creative-writing
Incremental Instruction Creative Writing
Does delivering a writing brief over several conversation turns change what a
language model writes? This dataset supports that question with matched
creative-writing tasks evaluated under two delivery conditions:
FULL: the complete brief is supplied in one turn.
SHARDED: the same intended brief is introduced across five to nine turns.
The benchmark holds task content fixed while varying how the instructions are
delivered. It is… See the full description on the dataset page: https://huggingface.co/datasets/SolusOps/incremental-instruction-creative-writing.sputnik_100_72_creative_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 3583,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/abokinala/sputnik_100_72_creative_tasks.sputnik_100_78_creative_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 5967,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/abokinala/sputnik_100_78_creative_tasks.SARC_Sarcasm
SARC_Sarcasm
Dataset Summary
A large corpus for sarcasm research and for training and evaluating systems for sarcasm detection is presented. The corpus comprises 1.3 million sarcastic statements, a quantity that is tenfold more substantial than any preceding dataset, and includes many more instances of non-sarcastic statements. This allows for learning in both balanced and unbalanced label regimes. Each statement is self-annotated; that is to say, sarcasm is labeled by… See the full description on the dataset page: https://huggingface.co/datasets/CreativeLang/SARC_Sarcasm.ptbr-creative-cpt-qwen35-08b-v02
PT-BR Creative CPT — Qwen3.5-0.8B data-prep v0.2
This repository is a derived, model/tokenizer-specific training artifact for continued pretraining experiments.
It is not the canonical text corpus.
Canonical source:
oliveirabruno01/ptbr-creative-cpt
Canonical corpus fingerprint:
21f72f64b3b73425bc78d91046a52aefddb8413b747d69f3422c31da8f536840
Identity
Model/tokenizer: Qwen/Qwen3.5-0.8B-Base
Context length: 2048
Data-prep version: v0.2
Primary split policy:… See the full description on the dataset page: https://huggingface.co/datasets/oliveirabruno01/ptbr-creative-cpt-qwen35-08b-v02.ptbr-creative-cpt
PT-BR Creative Corpus v0.1.0
A curated Brazilian-Portuguese creative-writing corpus for continued pretraining / midtraining research.
Status
This is the canonical corpus freeze, not a final model-specific training build.
Canonical text units: 1,354
Document/edition entities: 803
Characters: 82,538,439
Words (whitespace count): 13,929,410
Historical project estimate: 18,339,188 chars/4.5 tokens, retained only in the audit_metrics config.
The canonical corpus… See the full description on the dataset page: https://huggingface.co/datasets/oliveirabruno01/ptbr-creative-cpt.creative-reasoning-trajectories
Creative Reasoning Trajectories (Preview)
Step-level trajectories of professional creative work in which the supervised
target is the decision, not the keystroke. 76 steps across 4 trajectories,
45% of them judgment steps.
A preview release from a larger body of work. Read
Status and honesty before using the files — this release
previews the schema and the labelling target, and is explicit about what has and
has not been recorded yet.
Why this format
Open… See the full description on the dataset page: https://huggingface.co/datasets/atypica/creative-reasoning-trajectories.Creative-knowledge-for-Writing
Creative knowledge for Writing
This dataset was designed to enhance or enhance the use of high-engagement words and phrases unique to high-quality novels.
It contains long excerpts of narrative text (minimum 15 sentences, maximum 55 sentences), which include:
characters' emotions,
sudden events,
plot twists,
direct dialogues with descriptions of emotions and feelings,
descriptions of landscapes, people, and things,
descriptions of sensations and feelings
The columns of the dataset… See the full description on the dataset page: https://huggingface.co/datasets/Croc-Prog-HF/Creative-knowledge-for-Writing.r-zero-creative-datasetscup2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "aloha",
"total_episodes": 3,
"total_frames": 2679,
"total_tasks": 1,
"total_videos": 6,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:3"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Creative-Intelligence/cup2.sputnik_100_76_creative_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 6000,
"total_tasks": 1,
"total_videos": 40,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/abokinala/sputnik_100_76_creative_tasks.eval_act_so100_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "so100",
"total_episodes": 10,
"total_frames": 11903,
"total_tasks": 1,
"total_videos": 10,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:10"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Creative-Intelligence/eval_act_so100_test.sputnik_100_77_creative_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 5978,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/abokinala/sputnik_100_77_creative_tasks.aloha_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "aloha",
"total_episodes": 2,
"total_frames": 1320,
"total_tasks": 1,
"total_videos": 6,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Creative-Intelligence/aloha_test.so100_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.0",
"robot_type": "so100",
"total_episodes": 2,
"total_frames": 1192,
"total_tasks": 1,
"total_videos": 2,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:2"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Creative-Intelligence/so100_test.sputnik_100_69_creative_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 8984,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/duthvik/sputnik_100_69_creative_tasks.sputnik_100_71_creative_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 8980,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/duthvik/sputnik_100_71_creative_tasks.trofi_metaphor
TroFi_Metaphor
Dataset Summary
The TroFi (Trope Finder) dataset is an unsupervised collection of data specifically designed to classify verbs into either literal or nonliteral categories. This dataset is composed of three primary sets. Firstly, the Target Set, which includes sentences featuring the verbs to be classified. These sentences are extracted from the '88-'89 Wall Street Journal (WSJ) Corpus and tagged using specific tagging systems, namely Ratnaparkhi's tagger… See the full description on the dataset page: https://huggingface.co/datasets/CreativeLang/trofi_metaphor.sputnik_100_73_creative_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 7160,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/abokinala/sputnik_100_73_creative_tasks.sputnik_100_75_creative_tasksThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "so100",
"total_episodes": 20,
"total_frames": 4771,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:20"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/abokinala/sputnik_100_75_creative_tasks.creative-qwen2.5-7b-stories
Ethahtz/creative-qwen2.5-7b-stories
LLM creative generations from the creative_tasks pipeline (generate_infinite_chats.py) or any compatible generations.jsonl.
Reproducibility and full per-run parameters are in generation_config.json in this dataset repository (one entry per config / run).
Configs and loading
Qwen-Qwen2.5-7B-Instruct_dsshort_story_prompts_bkvllm_seed42_top
Model: Qwen/Qwen2.5-7B-Instruct
Prompt source (dataset):… See the full description on the dataset page: https://huggingface.co/datasets/Ethahtz/creative-qwen2.5-7b-stories.qwen3-8b_arena-hard-creative-writing
Qwen/Qwen3-8B — arena-hard-creative-writing
Model outputs from the micro-creativity inference suite.
Model: Qwen/Qwen3-8B
Dataset: arena-hard-creative-writing (250 items)
Part of collection: ZachW/llm-creativity-benchmarks
Generation config
temperature: 0.0
max_tokens: 16384
seed: 42
backend: vllm
Columns
Column
Description
task_id
Unique task identifier
input
The exact prompt sent to the model (after meta-prompt application)… See the full description on the dataset page: https://huggingface.co/datasets/ZachW/qwen3-8b_arena-hard-creative-writing.