| --- |
| 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. |
|
|
| ## 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: maximus.cao@outlook.com |
