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---
dataset_info:
splits:
- name: biomed
- name: law
- name: finance
features:
- name: text
type: string
license: apache-2.0
task_categories:
- text-generation
language:
- en
---
## Dataset Description
This dataset contains the test splits used to evaluate the Memory Decoder model across three specialized domains: biomedical, legal, and finance.
The test data was randomly sampled from publicly available datasets to assess the model's performance in domain-specific language understanding.
**GitHub:** [https://github.com/LUMIA-Group/MemoryDecoder](https://github.com/LUMIA-Group/MemoryDecoder/tree/main)
## Dataset Sources
The test data is sampled randomly from the following source datasets:
### Biomedical Domain
- **Source:** [Medilora/mimic_iii_diagnosis_anonymous](https://huggingface.co/datasets/Medilora/mimic_iii_diagnosis_anonymous)
- **Description:** Anonymized clinical discharge summaries from the MIMIC-III database containing medical diagnoses, patient histories, and treatment procedures
### Legal Domain
- **Source:** [clairebarale/AsyLex](https://huggingface.co/datasets/clairebarale/AsyLex)
- **Description:** Refugee status determination documents from Canada (1996-2022) containing legal judgments and case analyses
- **Paper Reference:** [ACL 2023 Findings](https://aclanthology.org/2023.findings-acl.187)
### Finance Domain
- **Source:** [jyanimaulik/yahoo_finance_stockmarket_news](https://huggingface.co/datasets/jyanimaulik/yahoo_finance_stockmarket_news)
- **Description:** Stock market news articles from Yahoo Finance covering company earnings, market analysis, and financial commentary
## Dataset Structure
### Data Splits
The dataset consists of test splits only, randomly sampled from the source datasets:
```
├── biomed/ # Biomedical domain test split
├── law/ # Legal domain test split
└── finance/ # Finance domain test split
```
## Citation
```bibtex
@article{cao2025memory,
title={Memory decoder: A pretrained, plug-and-play memory for large language models},
author={Cao, Jiaqi and Wang, Jiarui and Wei, Rubin and Guo, Qipeng and Chen, Kai and Zhou, Bowen and Lin, Zhouhan},
journal={arXiv preprint arXiv:2508.09874},
year={2025}
}
```
## Contact
For questions and support: [email protected] |