datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
TrainingData_Stage3
AnchorSR Stage3 · metric-v1.0
直接选择 Small / Large
配置
训练题数
用途
small
1,000,000
先验证答案监督／先验恢复，按新版 Large 联合分布抽样
large
89,801,853
筛选后的完整训练集合，包含 Small 全部样本
from datasets import load_dataset
data = load_dataset('AnchorSR/TrainingData_Stage3', 'small', # 或 large
revision='metric-v1.0', streaming=True)
这是对 scaling-v1.0 的语义筛选与统一任务分类，不是增加新数据源。
Large 从 89,828,269 题保留 89,801,853 题，隔离 26,416 题。
旧标签 scaling-v1.0 / video-v1.0 / large-v1.0… See the full description on the dataset page: https://huggingface.co/datasets/AnchorSR/TrainingData_Stage3.humanoid-robots-training-dataset
Dynamic Intelligence — Humanoid Robot Training Dataset
A first-person (egocentric) video dataset of human hand manipulation, designed for training humanoid robot policies via imitation learning. Each episode captures a person performing an everyday household task — folding clothes, moving dishes, opening doors — filmed from a head-mounted iPhone using its built-in LiDAR and depth sensors.
The dataset pairs each video with frame-level 3D hand tracking and camera pose data, giving… See the full description on the dataset page: https://huggingface.co/datasets/DynamicIntelligence/humanoid-robots-training-dataset.c4-en-html-with-training_metadata_allNemotron-RL-Ultra-Training-Blends
Dataset Description:
This dataset provides Reinforcement Learning (RL) and Multi-teacher On-Policy Distillation (MOPD) training-data blends used by the public Nemotron-3-Ultra post-training recipe. The blends are consumed by the NeMo RL training recipes through the NeMo Gym agent framework, in which each prompt is paired with an agent/environment that returns a verifiable or judge-based reward. Each subset is a separate blend; see the recipe for how the blends are used.
The… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-RL-Ultra-Training-Blends.OLA-Embed-Trainingfairness-prm-training-datarag_multilingual_training_negatives
How this dataset was made
We trained on chunks sourced from the documents in MADLAD-400 dataset that had been evaluated to contain a higher amount of educational information according to a state-of-the-art LLM.
We took chunks of size 250 tokens, 500 tokens, and 1000 tokens randomly for each document.
We then used these chunks to generate questions and answers based on this text using a state-of-the-art LLM.
Finally, we selected negatives for each chunk using the similarity from the… See the full description on the dataset page: https://huggingface.co/datasets/lightblue/rag_multilingual_training_negatives.tb-training-mix-agentpick
tb-training-mix-agentpick
Selected by an agent re-rank, not by text similarity. For each of 89 Terminal-Bench 2.1 tasks, an agent ranked ten candidate training tasks drawn from 5 corpora together — TMAX, RST, SWE-Smith, SWE-Rebench and TerminalWorld — scoring every candidate on skill, domain, task_form and overall (integers, 1-5 across the file). 84 of the 89 lists mix corpora. Those scores belong to the selection and are not columns of this dataset. The re-rank used is the… See the full description on the dataset page: https://huggingface.co/datasets/Fzz1/tb-training-mix-agentpick.pldr-llm-training-dynamics-data
PLDR-LLM Training Dynamics Data
Reported numerical evidence for Training and Inference Dynamics of PLDR-LLMs:
Row-Map Collapse, Renormalization, and Predictive Reduction, by Burc Gokden.
Monograph: Hugging Face Paper Page.
Scientific code and readers: GitHub repository.
Numerical evidence: Hugging Face dataset.
Book: Power Law Graph Attention and PLDR-LLMs: Mathematical Foundations, Training Dynamics, and Predictive Inference, by Burc Gokden.
Book Companion: Code and edition… See the full description on the dataset page: https://huggingface.co/datasets/fromthesky/pldr-llm-training-dynamics-data.python-text-copilot-training-instruct-ai-research-2024-02-03
Python Copilot Instructions on How to Code using Alpaca and Yaml
Training and test datasets for building coding multimodal models that understand how to use the open source GitHub projects for the Agora Open Source AI Research Lab:
Agora GitHub Organization
Agora Hugging Face
This dataset is the 2024-02-03 update for the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-text-copilot-training-instruct-ai-research-2024-02-03.mtnwx-trainingpython-image-copilot-training-using-import-knowledge-graphs
Python Copilot Image Training using Import Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains a png file in the dbytes column.
Rows: 216642
Size: 211.2 GB
Data type: png
Format: Knowledge graph using NetworkX with alpaca text box
Schema
The png is in the dbytes column:
{
"dbytes": "binary"… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-image-copilot-training-using-import-knowledge-graphs.Elastic-Forcing-training-dataset
Elastic-Forcing training datasets
wan-1.3B-dataset/: 8,682 original videos and paired captions used by experiment 10351.
Each dataset folder contains its own videos, caption metadata, training manifest, and provenance. Original training data are kept separate across model scales.
wan-14B-dataset/: 5,546 retained videos and paired captions from the 14B step80 training dataset (originally 8,000; 2,454 subsequently removed and excluded).
Linny-Training-Dataset-Syntheticgliner-sysml-training-data
SysML GLiNER Training Data
1,898 labeled entity spans · 14 label types · 25 SysML documents · 62 training/evaluation chunks.
This is the actual weakly supervised corpus used to fine-tune GLiNER RelEx checkpoint 450 for the Patent to SysML prototype. The live interface offers AI Agents using Luna and Fine-Tuned NLP using this checkpoint. This dataset trained GLiNER; it did not train Luna.
The labels describe SysML source code, principally related linear-actuator examples with… See the full description on the dataset page: https://huggingface.co/datasets/cmuchancel/gliner-sysml-training-data.python-image-copilot-training-using-class-knowledge-graphs
Python Copilot Image Training using Class Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains a png file in the dbytes column.
Rows: 312277
Size: 304.3 GB
Data type: png
Format: Knowledge graph using NetworkX with alpaca text box
Schema
The png is in the dbytes column:
{
"dbytes": "binary"… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-image-copilot-training-using-class-knowledge-graphs.python-copilot-training-from-many-repos-large
Python Copilot Large Coding Dataset
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains python code, either a class method or a global function, imported modules, base classes (if any), exceptions (ordered based off the code), returns (ordered based off the code), arguments (ordered based off the code), and more.
Rows: 2350782… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-copilot-training-from-many-repos-large.python-audio-copilot-training-using-function-knowledge-graphs
Python Copilot Audio Training using Global Functions with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each global function has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the associated source code file_path… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-function-knowledge-graphs.feedback_data_training
Repair replay update — September 15, 2026
The split still contains 161,030 weighted rows, with the same category counts:
Category
Rows
Share
Distinct examples before → after
One-shot
79,970
49.66%
35,197 → 35,197
Regular repairs
60,931
37.84%
40,530 → 48,726
Rollout-derived deep repairs
20,129
12.50%
436 → 1,825
This adds 9,585 distinct checked repair examples while preserving every legacy distinct row and every one-shot row's multiplicity. The new examples… See the full description on the dataset page: https://huggingface.co/datasets/formalmathatepfl/feedback_data_training.hmd-erwt-training
Dataset Card for ERWT Hertiage Made Digital Newspapers training data
Dataset Summary
This dataset contains text extracted at the page level from historic digitised newspapers from the Heritage Made Digital newspaper digitisation program. The newspapers in the dataset were published between 1800 and 1870.
The data was primarily created as a dataset for training 'time-aware' language models.
The dataset contains text generated from Optical Character Recognition software on… See the full description on the dataset page: https://huggingface.co/datasets/Livingwithmachines/hmd-erwt-training.brokenarxiv-training_outputs_disprove
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains training data generated from past ArXiv articles, together with outputs generated by Qwen3.6-35B.
In particular, this dataset contains answers by the model to the question whether the perturbed statement in https://huggingface.co/datasets/MathArena/brokenarxiv-training/ is correct.
Thus, the expected answer is always… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/brokenarxiv-training_outputs_disprove.python-audio-copilot-training-using-class-knowledge-graphs
Python Copilot Audio Training using Class with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each class method has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the associated source code file_path identifier.
Rows:… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-class-knowledge-graphs.brokenarxiv-training_outputs_original
Homepage and repository
Homepage: https://matharena.ai/
Repository: https://github.com/eth-sri/matharena
Dataset Summary
This dataset contains training data generated from past ArXiv articles, together with outputs generated by Qwen3.6-35B.
In particular, this dataset contains answers by the model to the question whether the original statement in… See the full description on the dataset page: https://huggingface.co/datasets/MathArena/brokenarxiv-training_outputs_original.countdown-arithmetic-training-pool
Countdown arithmetic training pool
Arithmetic puzzles of the Countdown kind: a handful of source numbers, a target, and the job of
writing an expression over the four operations that reaches the target, using each source number
at most once and not having to use them all. A set generated for this pool and three public
datasets read at the pinned revisions named below, laid out twice. Train on either layer or on
both.
pool.jsonl
Every source rewritten into one… See the full description on the dataset page: https://huggingface.co/datasets/Emulated-Inc/countdown-arithmetic-training-pool.python-text-copilot-training-instruct
Python Copilot Instructions on How to Code using Alpaca and Yaml
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains python code, either a class method or a global function, imported modules, base classes (if any), exceptions (ordered based off the code), returns (ordered based off the code), arguments (ordered based off the… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-text-copilot-training-instruct.SI2CA-Training-TrajectoriesDataset Card for SI2CA-Training-Trajectories
[🌐 Website] •
[🤗 Dataset] •
[📜 Paper] •
[🐱 GitHub]
💡 Introduction
This dataset consists of 32,340 coding-agent trajectories generated by Qwen3.5-122B-A10B on the same 10,780 executable Python SWE tasks under the three trajectory-curation settings of Section 4.4 of the paper: standard sampling, full self-judgement, and an efficient discovered strategy found by the recursive self-improvement framework. Each task is… See the full description on the dataset page: https://huggingface.co/datasets/Self-Improving-Coding-Agents/SI2CA-Training-Trajectories.python-text-copilot-training-instruct-ai-research-2024-02-11
Python Copilot Instructions on How to Code using Alpaca and Yaml
Training and test datasets for building coding multimodal models that understand how to use the open source GitHub projects for the Autogen and multimodal Qwen AI project:
Qwen
Qwen Agent
Qwen VL Chat
Qwen Audio
This dataset is the 2024-02-11 update for the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-text-copilot-training-instruct-ai-research-2024-02-11.lilm2-training-datapython-audio-copilot-training-using-import-knowledge-graphs
Python Copilot Audio Training using Imports with Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each imported module for each unique class in each module file has a question and answer mp3 where one voice reads the question and another voice reads the answer. Both mp3s are stored in the parquet dbytes column and the… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-audio-copilot-training-using-import-knowledge-graphs.python-image-copilot-training-using-function-knowledge-graphs
Python Copilot Image Training using Function Knowledge Graphs
This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.
Details
Each row contains a png file in the dbytes column.
Rows: 134357
Size: 130.5 GB
Data type: png
Format: Knowledge graph using NetworkX with alpaca text box
Schema
The png is in the dbytes column:
{
"dbytes": "binary"… See the full description on the dataset page: https://huggingface.co/datasets/matlok/python-image-copilot-training-using-function-knowledge-graphs.