datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
shakespeare-complete-works
Shakespeare Complete Works Dataset
This dataset contains the complete works of William Shakespeare, including:
The Sonnets (154 sonnets)
Plays (Tragedies, Comedies, Histories)
Poems
Dataset Structure
Each entry contains:
work: The title of the work
section: Specific section (e.g., "Sonnet 1") if applicable
text: The actual text content
type: Type of work (sonnet, play, poem)
id: Unique identifier
Usage
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/r-three/shakespeare-complete-works.threejs-gamecode-instruct-v3-ultra
Three.js GameCode Instruct v3 Ultra
This is a large synthetic/original instruction dataset for training or testing LLM behavior around Three.js, browser game development, gameplay programming, debugging, optimization, architecture, and general coding.
Important note
This dataset is synthetic and programmatically generated from original templates. It is designed as a useful starting point for experiments, not as a fully hand-curated gold-standard benchmark.
No… See the full description on the dataset page: https://huggingface.co/datasets/agagasf123123/threejs-gamecode-instruct-v3-ultra.2026-07-30-qwen36-threeway-constitution-odcv-eval
Qwen3.6-27B three-way constitution LoRA — ODCV evaluation
field
value
experiment
ODCV-Bench evaluation of the Qwen3.6-27B three-way constitution LoRA on the controlled 78-scenario subset used by the difficult-advice mixture sweep.
date_generated
2026-07-30
constitution
2026-07-29 synthdoc approved constitution SFT, combining embodied, difficult-advice, and agentic tool-use constitution corpora.
source_repo
teaching_claude_why_replication at commit… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-07-30-qwen36-threeway-constitution-odcv-eval.threew
threew
threew adalah dataset pasangan instruksi–jawaban berbahasa Indonesia untuk eksperimen text generation dan instruction tuning. Dataset ini berisi contoh sintetis yang dikurasi secara programatis dan diarahkan agar jawaban bersifat jelas, aman, jujur tentang ketidakpastian, serta berguna untuk pembelajaran umum.
Struktur
Setiap baris JSONL memiliki kolom berikut:
Kolom
Tipe
Keterangan
id
string
Identitas unik contoh
instruction
string
Permintaan… See the full description on the dataset page: https://huggingface.co/datasets/ojiwzrd/threew.shakespeare-sonnet-dialogue-blobTaken from Andrej Karpathy and repurposed for UofT's CSC 413 Deep Learning
40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/.
Usage
To use for e.g. character modelling:
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("r-three/shakespeare-sonnet-dialogue-blob")
Source… See the full description on the dataset page: https://huggingface.co/datasets/r-three/shakespeare-sonnet-dialogue-blob.hermes-agent-reasoning-traces
Hermes Agent Reasoning Traces
Multi-turn tool-calling trajectories for training AI agents using the Hermes Agent harness. Each sample is a real agent conversation with step-by-step reasoning (<think> blocks) and actual tool execution results.
This dataset has two configs, one per source model:
Config
Model
Samples
kimi
Moonshot AI Kimi-K2.5
7,646
glm-5.1
ZhipuAI GLM-5.1-FP8
7,055
Loading
from datasets import load_dataset
# Kimi-K2.5 traces
ds =… See the full description on the dataset page: https://huggingface.co/datasets/ThreeSixNine/hermes-agent-reasoning-traces.shakespeare-dialogueTaken from Andrej Karpathy and repurposed for UofT's CSC 413 Deep Learning
40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/.
Usage
To use for e.g. character modelling:
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("r-three/shakespeare-dialogue")
# Access examples
for example… See the full description on the dataset page: https://huggingface.co/datasets/r-three/shakespeare-dialogue.shakespeare-dialogue-blobTaken from Andrej Karpathy and repurposed for UofT's CSC 413 Deep Learning
40,000 lines of Shakespeare from a variety of Shakespeare's plays. Featured in Andrej Karpathy's blog post 'The Unreasonable Effectiveness of Recurrent Neural Networks': http://karpathy.github.io/2015/05/21/rnn-effectiveness/.
Usage
To use for e.g. character modelling:
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("r-three/shakespeare-dialogue-blob")
# Access examples
for… See the full description on the dataset page: https://huggingface.co/datasets/r-three/shakespeare-dialogue-blob.Threen-PT-ShareGPT
Threen-PT-ShareGPT
A compact ShareGPT-style dataset for training models to generate runnable Three.js HTML scenes from short object-building prompts.
This revision contains a reasoning-augmented subset of the dataset. For each completed row, the assistant response has a generated reasoning trace prepended to the original gpt message value.
Contents
Path
Split
Rows
Description
train.parquet
train
708
ShareGPT conversations with reasoning traces prepended… See the full description on the dataset page: https://huggingface.co/datasets/Akicou/Threen-PT-ShareGPT.