Update README.md

README.md

@@ -23,7 +23,7 @@ task_categories:
 
 ## About the Dataset
 
-This dataset is part of **FORGE**, a comprehensive benchmark for **FO**rming **R**aw user behavior sequences and **G**enerative r**E**trieval in Industrial Datasets, as presented in the paper [FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets](https://huggingface.co/papers/2509.20904). The FORGE benchmark aims to address challenges in semantic identifiers (SIDs) for generative retrieval (GR) by providing a large-scale public dataset with multimodal features.
+<!-- This dataset is part of **FORGE**, a comprehensive benchmark for **FO**rming **R**aw user behavior sequences and **G**enerative r**E**trieval in Industrial Datasets, as presented in the paper [FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets](https://huggingface.co/papers/2509.20904). The FORGE benchmark aims to address challenges in semantic identifiers (SIDs) for generative retrieval (GR) by providing a large-scale public dataset with multimodal features. -->
 
 Specifically, this `AL-GR/Origin-Sequence-Data` repository contains the foundational **raw user behavior sequences** for the `AL-GR` ecosystem. It represents the data *before* it is formatted into the instruction-following prompts used for training Large Language Models (LLMs) in generative retrieval tasks. The full FORGE dataset comprises 14 billion user interactions and multimodal features of 250 million items sampled from Taobao, one of the biggest e-commerce platforms in China.
 
@@ -42,10 +42,7 @@ The data is structured in multiple folders (`s1_splits`, `s2_splits`, etc.), whi
 
 Create a Python file named `origin-sequence-data.py` in your local directory and paste the following code into it.
 
-```python
-import csv
-import datasets
-import glob
+<!-- 
 
 _DESCRIPTION = "Raw user behavior sequences for the AL-GR project, split into history and target item."
 _CITATION = """
@@ -58,7 +55,12 @@ _CITATION = """
       primaryClass={cs.IR},
       url={https://arxiv.org/abs/2509.20904}, 
 }
-"""
+""" -->
+
+```python
+import csv
+import datasets
+import glob
 
 class OriginSequenceData(datasets.GeneratorBasedBuilder):
     """A loader for the AL-GR Raw User Behavior Sequences."""