Update README.md
Browse files
README.md
CHANGED
|
@@ -1,15 +1,5 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
-
dataset_info:
|
| 4 |
-
description: "Processed benchmark data for AgentRecBench tasks."
|
| 5 |
-
features:
|
| 6 |
-
- name: task
|
| 7 |
-
description: "Folder containing multiple recommendation task configurations."
|
| 8 |
-
- name: process_data
|
| 9 |
-
description: "Main processed dataset packaged as a ZIP file for all tasks."
|
| 10 |
-
size: 4.9GB
|
| 11 |
-
data_files:
|
| 12 |
-
- https://huggingface.co/datasets/SGJQovo/AgentRecBench/resolve/main/process_data.zip
|
| 13 |
---
|
| 14 |
# README
|
| 15 |
|
|
@@ -27,9 +17,9 @@ This folder contains three major types of recommendation tasks:
|
|
| 27 |
- **Evolving Interest Tasks**: These tasks are designed to capture the dynamic nature of user preferences over time, requiring agents to adapt to changing interests.
|
| 28 |
- **Cold-Start Tasks**: These tasks address the challenge of making recommendations for new users or items with limited interaction history.
|
| 29 |
|
| 30 |
-
###
|
| 31 |
|
| 32 |
-
|
| 33 |
|
| 34 |
- **process_data_all**: Contains datasets for both classic and cold-start tasks.
|
| 35 |
- **process_data_long**: Contains datasets for long-term evolving interest tasks.
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
| 4 |
# README
|
| 5 |
|
|
|
|
| 17 |
- **Evolving Interest Tasks**: These tasks are designed to capture the dynamic nature of user preferences over time, requiring agents to adapt to changing interests.
|
| 18 |
- **Cold-Start Tasks**: These tasks address the challenge of making recommendations for new users or items with limited interaction history.
|
| 19 |
|
| 20 |
+
### dataset
|
| 21 |
|
| 22 |
+
The following three folders contain the datasets for each task, processed and formatted for retrieval by the agent:
|
| 23 |
|
| 24 |
- **process_data_all**: Contains datasets for both classic and cold-start tasks.
|
| 25 |
- **process_data_long**: Contains datasets for long-term evolving interest tasks.
|