| | --- |
| | license: apache-2.0 |
| | task_categories: |
| | - question-answering |
| | language: |
| | - en |
| | --- |
| | # 📚 mmrag benchmark |
| |
|
| | ## 📁 Files Overview |
| |
|
| | - `mmrag_train.json`: Training set for model training. |
| | - `mmrag_dev.json`: Validation set for hyperparameter tuning and development. |
| | - `mmrag_test.json`: Test set for evaluation. |
| | - `processed_documents.json`: The document pool used for document retrieval. |
| |
|
| | --- |
| |
|
| | ## 🔍 Query Datasets: `mmrag_train.json`, `mmrag_dev.json`, `mmrag_test.json` |
| | |
| | The three files are all lists of dictionaries. Each dictionary contains the following fields: |
| | |
| | ### 🔑 `id` |
| | |
| | - **Description**: Unique query identifier, structured as `dataset_queryID`. |
| | - **Example**: `ott_144`. |
| |
|
| | ### ❓ `query` |
| |
|
| | - **Description**: Text of the question. |
| | - **Example**: `"What is the capital of France?"` |
| |
|
| | ### ✅ `answer` |
| |
|
| | - **Description**: The gold-standard answer corresponding to the query. |
| | - **Example**: `"Paris"` |
| |
|
| | ### 📑 `relevant_chunks` |
| | |
| | - **Description**: Dictionary of relevant document IDs and their corresponding relevance scores. The document IDs are structured as `dataset_documentID_chunkIndex`, equivalent to `dataset_queryID_chunkIndex` |
| | - **Example**: `{"ott_23573_2": 1}` |
| | |
| | ### 📖 `ori_context` |
| |
|
| | - **Description**: A list of the original document IDs related to the query. |
| | - **Example**: `["ott_6104"]` |
| |
|
| | ### 📜 `dataset_score` |
| | |
| | - **Description**: The relevance score of all datasets regarding this query. |
| | - **Example**: `{"tat": 0, "triviaqa": 2, "ott": 4, "kg": 1, "nq": 0}` |
| | |
| | --- |
| | |
| | ## 📚 Knowledge Base: `processed_documents.json` |
| |
|
| | This file is a list of documents used for document retrieval, which contains the following fields: |
| |
|
| | ### 🔑 `id` |
| |
|
| | - **Description**: Unique document identifier, structured as `dataset_documentID_chunkIndex`, equivalent to `dataset_queryID_chunkIndex` |
| | - **example**: `ott_8075_0` |
| |
|
| | ### 📄 `text` |
| |
|
| | - **Description**: Text of the document. |
| | - **Example**: `A molecule editor is a computer program for creating and modifying representations of chemical structures.` |
| |
|
| | --- |
| |
|
| | ## 📄 License |
| |
|
| | This dataset is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). |
