---
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).