datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
smol-smoltalk-Interaction-SFT
Dataset Card for ReactiveAI/Smol-Smoltalk Interaction SFT
Derived from HuggingFaceTB/smol-smoltalk. Made for Interaction Supervised Fine-Tuning of Reactive Transformer
Proof-of-Concept models, especially RxT-Beta.
Dataset Details
Dataset Description
Reactive Transformers are processing only the single interactions in real-time and using Short-Term Memory to store information from previous interactions.
Before the model is able to use it's memory, it has to be… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/smol-smoltalk-Interaction-SFT.ICU-REACT
ICU-REACT
ICU-REACT is a clinician-supervised dataset for clinical reasoning and information retrieval in the intensive care unit (ICU), developed for fine-tuning and benchmarking large language models (LLMs).
ICU-REACT was constructed using a clinician-in-the-loop annotation framework designed to capture how clinicians identify relevant patient information and integrate it into diagnostic and treatment decisions. The dataset includes a clinician-refined seed training set, a… See the full description on the dataset page: https://huggingface.co/datasets/iheallab/ICU-REACT.hle-react
AggAgent ReAct Rollouts - HLE
Dataset Description
AggAgent is an agentic aggregation framework that scales long-horizon agents at test time by sampling multiple parallel rollouts from a base agent and then aggregating their evidence and solutions. This dataset card releases the ReAct base rollouts that AggAgent consumes, i.e. single-agent trajectories produced before any aggregation step.
Each rollout was generated by running a ReAct-style deep-research… See the full description on the dataset page: https://huggingface.co/datasets/yoonsanglee/hle-react.RealStories-Micro-MRL
Dataset Card for ReactiveAI/RealStories-Micro-MRL
First synthetic Memory Reinforcement Learning dataset for Proof-of-Concept Reactive Transformer models.
Dataset is divided into subsets, used in different Curriculum Stage of MRL training - each subset have
different number of follow-up interactions, could use different strategy, and have train and validation
splits.
Subsets
steps-1: ~2300 train (~4600 interactions) / ~340 validation (~680 interactions) - Single-Step… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/RealStories-Micro-MRL.omnimcp_nextjs_react_architect_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_nextjs_react_architect_teaser.deepsearchqa-react
AggAgent ReAct Rollouts - DeepSearchQA
Dataset Description
AggAgent is an agentic aggregation framework that scales long-horizon agents at test time by sampling multiple parallel rollouts from a base agent and then aggregating their evidence and solutions. This dataset card releases the ReAct base rollouts that AggAgent consumes, i.e. single-agent trajectories produced before any aggregation step.
Each rollout was generated by running a ReAct-style… See the full description on the dataset page: https://huggingface.co/datasets/yoonsanglee/deepsearchqa-react.glaive-reasoning-Interaction-SFT
Dataset Card for Reactive AI/Glaive Reasoning Interaction SFT
According to the name, Dataset was generated from first 500k rows of glaiveai/reasoning-v1-20m reasoning dataset. Content
from inside <think>...</think> blocks was moved to separate field think - in SFT training it will be added to interaction by tokenizer.
Work In Progress
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]:… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/glaive-reasoning-Interaction-SFT.omnimcp_react_hydration_repair_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_react_hydration_repair_teaser.healthbench-react
AggAgent ReAct Rollouts - HealthBench-Hard
Dataset Description
AggAgent is an agentic aggregation framework that scales long-horizon agents at test time by sampling multiple parallel rollouts from a base agent and then aggregating their evidence and solutions. This dataset card releases the ReAct base rollouts that AggAgent consumes, i.e. single-agent trajectories produced before any aggregation step.
Each rollout was generated by running a ReAct-style… See the full description on the dataset page: https://huggingface.co/datasets/yoonsanglee/healthbench-react.smol-smoltalk-mini-Interaction-SFT
Dataset Card for ReactiveAI/Smol-Smoltalk-Mini Interaction SFT
Derived from HuggingFaceTB/smol-smoltalk (used 25% of train & test splits). Made for Interaction Supervised
Fine-Tuning of Reactive Transformer Proof-of-Concept models, especially RxT-Alpha-Mini (more info soon).
Full version available in ReactiveAI/smol-smoltalk-Interaction-SFT
Dataset Details
Dataset Description
Reactive Transformers are processing only the single interactions in… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/smol-smoltalk-mini-Interaction-SFT.TinyStories-MRL
Dataset Card for ReactiveAI/TinyStories-MRL
Synthetic Memory Reinforcement Learning dataset for Proof-of-Concept Reactive Transformer models.
Dataset is divided into subsets, used in different Curriculum Stage of MRL training - each subset have
different number of follow-up interactions, could use different strategy, and have train and validation
splits.
After first experiments with MRL, we decided to abandon single step and two steps stages. That's because with single
step… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/TinyStories-MRL.passkey-retrieval
ReactiveAI / passkey-retrieval (Interactions Format)
Conversational (in RxLM Interactions Format) retrieval (Passkey / Needle In a Haystack type) dataset, filtered and transformed from grimulkan/passkey-retrieval
Subsets
to-4k - 3-step instruct examples with first (context) message with up to 4k tokens
to-4k-reasoning - 3-step reasoning examples with first (context) query with up to 4k tokens and all the interaction (with reasoning) up to 8k tokens
to-8k - 3-step… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/passkey-retrieval.chemotion-reactionsAll reactions from https://www.chemotion-repository.net/welcome with a small subset of LLM-generated questions to find a mistake
TinyStories-mini-Interaction-SFT
Dataset Card for ReactiveAI/TinyStories-mini-Interaction-SFT
Interaction Supervised Fine-Tuning Dataset based on roneneldan/TinyStories dataset, made for Reactive
Transformer second training stage Proof-of-Concept.
Full version available in ReactiveAI/TinyStories-Interaction-SFT
Dataset Details
Dataset Description
Curated by: Reactive AI
Language(s) (NLP): English
License: apache-2.0
Uses
This dataset is made for Supervised… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/TinyStories-mini-Interaction-SFT.researchrubrics-react
AggAgent ReAct Rollouts - ResearchRubrics
Dataset Description
AggAgent is an agentic aggregation framework that scales long-horizon agents at test time by sampling multiple parallel rollouts from a base agent and then aggregating their evidence and solutions. This dataset card releases the ReAct base rollouts that AggAgent consumes, i.e. single-agent trajectories produced before any aggregation step.
Each rollout was generated by running a ReAct-style… See the full description on the dataset page: https://huggingface.co/datasets/yoonsanglee/researchrubrics-react.ReactJS_FAQ_DatasetAI-Knowledge-Chat-SMAT
Dataset Card for ReactiveAI/AI-Knowledge-Chat-SMAT
Conversational dataset for Supervised Memory Aware Training (SMAT) of Reactive Language Models (RxLM), containing dialogues
with AI/Data Science knowledge.
DOCS IN PROGRESS
Dataset Details
Dataset Description
Curated by: Adam Filipek / Reactive AI
Language(s) (NLP): English-only
License: Apache-2.0
Dataset Sources [optional]
Repository: [More Information Needed]
Paper [optional]:… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/AI-Knowledge-Chat-SMAT.TinyStories-Interaction-SFT
Dataset Card for ReactiveAI/TinyStories-Interaction-SFT
Improved version of ReactiveAI/TinyStories-mini-Interaction-SFT - about 4x more rows, improved generation prompt
and additional post-processing for more diverse dataset. Includes all examples from v1 Dataset and over 75k new ones, post-processed to include more random naming.
Dataset Details
Dataset Description
Interaction Supervised Fine-Tuning Dataset based on roneneldan/TinyStories dataset, made… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/TinyStories-Interaction-SFT.cosmopedia-100k-Interaction-SFT
Dataset Card for ReactiveAI/cosmopedia-100k-Interaction-SFT
HuggingFaceTB/cosmopedia-100k dataset transformed into Reactive AI Interaction SFT format for stateful real-time
Reactive Language Models (RxLM).
Dataset Details
Dataset Description
The subset of Cosmopedia with 100k examples for Interaction Supervised Fine-Tuning, made
for Reactive Transformer models. We use it to train RxT-Beta generation.
Curated by: Adam Filipek & Reactive AI
Language(s) (NLP):… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/cosmopedia-100k-Interaction-SFT.Search-Distill-5K-ReAct
TraceMind-Search-5K
TraceMind-Search-5K is a high-quality dataset featuring 5,000+ samples of search-augmented reasoning traces. It is specifically designed to train Small Language Models (SLMs) in the ReAct (Reasoning + Acting) pattern, focusing on precise information retrieval, noise filtering, and grounded synthesis.
Dataset Highlights
Total Samples: 4,997 entries in Parquet format.
File: train.parquet (2.7 MB).
Pattern: Strict adherence to the ReAct framework:
User… See the full description on the dataset page: https://huggingface.co/datasets/Salvor-Hardin/Search-Distill-5K-ReAct.react-standardSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: React
Documentation Data Source Link: https://legacy.reactjs.org/docs/getting-started.html
Data Source License: https://github.com/facebook/react/blob/main/LICENSE
Data Source Authors: Meta
AI Benchmarks by Data Agents © 2025 RELAI.AI · Licensed under CC BY 4.0. Source: https://relai.ai
react-reasoningSamples in this benchmark were generated by RELAI using the following data source(s):
Data Source Name: React
Documentation Data Source Link: https://legacy.reactjs.org/docs/getting-started.html
Data Source License: https://github.com/facebook/react/blob/main/LICENSE
Data Source Authors: Meta
AI Benchmarks by Data Agents © 2025 RELAI.AI · Licensed under CC BY 4.0. Source: https://relai.ai