---
license: cc-by-4.0
task_categories:
- text-generation
language:
- en
tags:
- text
- Single-marker citation tasks
- Multi-marker citation tasks
- Reinforcement Learning
- synthetic
- nemo data designer
- Nemotron_3_Ultra
size_categories:
- 1K<n<10K
---


## Dataset Description:
Teaches the model to cite specific document parts using reference markers like [ref:1], <ref:3>, etc. Supports single-reference, multi-reference, and inline citations.

This dataset is ready for commercial/non-commercial uses.

## Dataset Owner(s):
NVIDIA Corporation

## Dataset Creation Date:
Created on: April 10, 2026 
Last Modified on: April 10, 2026

## Version:
Nemotron-RL-Instruction-Following-CitationFormatting-v1

## License/Terms of Use: 
Governing terms: this dataset is licensed under CC BY 4.0.

## Intended Usage:
Reinforcement learning training for instruction following capabilities, especially in reference citation formatting.

## Dataset Characterization
**Data Collection Method**  
Synthetic


**Labeling Method**
Hybrid: Synthetic, Automatic

## Dataset Format
Modality: Text  
Format: JSONL  
Structure: Text + Metadata

## Dataset Quantification
| Subset                       | Samples       | Size |
|------------------------------|---------------|------|
| Single-marker citation tasks | 5,367 (56.3%) | 32.35 MB (0.032 GB) |
| Multi-marker citation tasks  | 4,173 (43.7%) | 25.66 MB (0.026 GB) |
| Total                        | 9,540         | 58.01 MB (0.058 GB) |


## Reference(s):
Nemo-Gym config: https://github.com/NVIDIA-NeMo/Gym/blob/main/resources_servers/format_verification/configs/citation_format.yaml 

## Ethical Considerations:
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications.  Developers should work with their internal developer teams to ensure this dataset meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

Please report model quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://app.intigriti.com/programs/nvidia/nvidiavdp/detail).