| --- |
| pretty_name: MemFactory |
| license: cc-by-sa-4.0 |
| language: |
| - en |
| task_categories: |
| - question-answering |
| tags: |
| - long-context |
| - evaluation |
| - question-answering |
| - multi-hop |
| - hotpotqa |
| - synthetic |
| configs: |
| - config_name: eval_50 |
| data_files: |
| - split: train |
| path: eval_50.json |
| - config_name: eval_100 |
| data_files: |
| - split: train |
| path: eval_100.json |
| - config_name: converted_hotpotqa_2000 |
| data_files: |
| - split: train |
| path: converted_hotpotqa_2000.json |
| - config_name: eval_fwe_16384 |
| data_files: |
| - split: train |
| path: eval_fwe_16384.json |
| --- |
| |
|
|
| # MemFactory |
|
|
| ## Overview |
|
|
| This repository provides a lightweight, derivative release of data used in **MemFactory**. |
|
|
| To evaluate the effectiveness of MemFactory, we reuse and adapt data from the upstream dataset: |
|
|
| - [`BytedTsinghua-SIA/hotpotqa`](https://huggingface.co/datasets/BytedTsinghua-SIA/hotpotqa) |
|
|
| This repository includes four JSON files: |
|
|
| - `eval_50.json` |
| - `eval_100.json` |
| - `eval_fwe_16384.json` |
| - `converted_hotpotqa_2000.json` |
|
|
| ### Data Sources |
|
|
| - The three evaluation files are directly derived from the upstream HotpotQA-based release. |
| - The training file `converted_hotpotqa_2000.json` is a **locally adapted version** of the upstream training data, modified for MemFactory experiments. |
|
|
| For full dataset context, please refer to the upstream release: |
| - https://huggingface.co/datasets/BytedTsinghua-SIA/hotpotqa |
|
|
| --- |
|
|
|
|
| ## Limitations |
|
|
| - This is a **derivative redistribution**, not the original dataset. |
| - The data may inherit: |
| - annotation noise |
| - biases |
| - structural limitations |
| from the upstream sources. |
| - `eval_fwe_16384.json` follows a **different schema** from the QA-style files. |
| - For full documentation and broader coverage, users should consult the upstream dataset. |
|
|
| --- |
|
|
| ## License |
|
|
| This repository is released under **CC BY-SA 4.0**. |
|
|
| **Reason:** |
|
|
| - The data is derived from the upstream HotpotQA-based dataset, which uses the same license. |
| - `converted_hotpotqa_2000.json` is an adapted derivative and must preserve share-alike terms. |
|
|
| If you use or redistribute this repository: |
| - Please retain attribution to the upstream source |
| - Preserve the same license |
|
|
| --- |
|
|
| ## Loading with 🤗 datasets |
|
|
| ```python |
| from datasets import load_dataset |
| |
| eval_50 = load_dataset("nworats/MemFactory", "eval_50", split="train") |
| eval_100 = load_dataset("nworats/MemFactory", "eval_100", split="train") |
| train_converted = load_dataset("nworats/MemFactory", "converted_hotpotqa_2000", split="train") |
| eval_fwe_16384 = load_dataset("nworats/MemFactory", "eval_fwe_16384", split="train") |
| ```` |
|
|
|
|
| ## Citation |
|
|
| If you use this dataset, please cite: |
|
|
| ### MemFactory (this work) |
|
|
| *(Placeholder – replace with your paper when available)* |
|
|
| ```bibtex |
| @article{memfactory2025, |
| title={MemFactory: [Your Subtitle Here]}, |
| author={Your Name et al.}, |
| journal={arXiv preprint arXiv:XXXX.XXXXX}, |
| year={2025} |
| } |
| ``` |
|
|
| ### Upstream MemAgent work |
|
|
| ```bibtex |
| @article{yu2025memagent, |
| title={MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent}, |
| author={Yu, Hongli and others}, |
| journal={arXiv preprint arXiv:2507.02259}, |
| year={2025} |
| } |
| ``` |
|
|
|
|
