---
license: apache-2.0
task_categories:
- table-question-answering
- text-classification
- summarization
language:
- en
---
AceRAG
## Introduction
AceRAG provides task-aware context compression that transforms lengthy prompts into compact representations while preserving task-critical information. Designed for retrieval-augmented generation (RAG) systems, it employs a task-aware compressor and a compression-rate adapter to dynamically emphasize important tokens according to the task.
## Dataset Directory Structure
```
AceRAG-Data/
├── train/ # Training set
│ ├── context_compressor/ # Context compressor training data
│ └── token_level_estimator/ # Token-level estimator training data
└── eval/ # Evaluation set
```
