minor fix for tutorial & add news for ImgDiff

README.md

@@ -1,7 +1,7 @@
 [[中文主页]](README_ZH.md) | [[Docs]](#documents) | [[API]](https://modelscope.github.io/data-juicer) |  [[DJ-SORA]](docs/DJ_SORA.md) | [[Awesome List]](docs/awesome_llm_data.md)
 
 
-# Data-Juicer:  A One-Stop Data Processing System for Large Language Models
+# Data-Juicer: A One-Stop Data Processing System for Large Language Models
 
  <img src="https://img.alicdn.com/imgextra/i3/O1CN017Eq5kf27AlA2NUKef_!!6000000007757-0-tps-1280-720.jpg" width = "640" height = "360" alt="Data-Juicer"/>
 
@@ -37,6 +37,7 @@ We welcome you to join us (via issues, PRs, [Slack](https://join.slack.com/t/dat
 ----
 
 ## News
+- ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [2024-08-09] We propose Img-Diff, which enhances the performance of multimodal large language models through *contrastive data synthesis*, achieving a score that is 12 points higher than GPT-4V on the [MMVP benchmark](https://tsb0601.github.io/mmvp_blog/). See more details in our [paper](https://arxiv.org/abs/2408.04594), and download the dataset from [huggingface](https://huggingface.co/datasets/datajuicer/Img-Diff) and [modelscope](https://modelscope.cn/datasets/Data-Juicer/Img-Diff).
 - ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [2024-07-24] "Tianchi Better Synth Data Synthesis Competition for Multimodal Large Models" — Our 4th data-centric LLM competition has kicked off! Please visit the competition's [official website](https://tianchi.aliyun.com/competition/entrance/532251) for more information.
 - ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [2024-07-17] We utilized the Data-Juicer [Sandbox Laboratory Suite](https://github.com/modelscope/data-juicer/blob/main/docs/Sandbox.md) to systematically optimize data and models through an co-development workflow between data and models, achieving a new top spot on the [VBench](https://huggingface.co/spaces/Vchitect/VBench_Leaderboard) text-to-video leaderboard. The related achievements have been compiled and published in a [paper](http://arxiv.org/abs/2407.11784), and the model has been released on the [ModelScope](https://modelscope.cn/models/Data-Juicer/Data-Juicer-T2V) and [HuggingFace](https://huggingface.co/datajuicer/Data-Juicer-T2V) platforms.
 - ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [2024-07-12] Our *awesome list of MLLM-Data* has evolved into a systemic [survey](https://arxiv.org/abs/2407.08583) from model-data co-development perspective. Welcome to [explore](docs/awesome_llm_data.md) and contribute!
@@ -450,6 +451,8 @@ If you find our work useful for your research or development, please kindly cite
 
 - [The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective](https://arxiv.org/abs/2407.08583)
 
+- [ImgDiff: Contrastive Data Synthesis for Vision Large Language Models](https://arxiv.org/abs/2408.04594)
+
 - [Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining](https://arxiv.org/abs/2402.11505)
 
 </details>

README_ZH.md

@@ -31,6 +31,7 @@ Data-Juicer正在积极更新和维护中，我们将定期强化和新增更多
 ----
 
 ## 新消息
+- ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [2024-08-09] 我们提出了Img-Diff，它通过*对比数据合成*来增强多模态大型语言模型的性能，在[MMVP benchmark](https://tsb0601.github.io/mmvp_blog/)中比GPT-4V高出12个点。 更多细节请参阅我们的 [论文](https://arxiv.org/abs/2408.04594), 以及从 [huggingface](https://huggingface.co/datasets/datajuicer/Img-Diff) 和 [modelscope](https://modelscope.cn/datasets/Data-Juicer/Img-Diff)下载这份数据集。
 - ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png) [2024-07-24] “天池 Better Synth 多模态大模型数据合成赛”——第四届Data-Juicer大模型数据挑战赛已经正式启动！立即访问[竞赛官网](https://tianchi.aliyun.com/competition/entrance/532251)，了解赛事详情。
 - ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png)[2024-07-17] 我们利用Data-Juicer[沙盒实验室套件](https://github.com/modelscope/data-juicer/blob/main/docs/Sandbox-ZH.md)，通过数据与模型间的系统性研发工作流，调优数据和模型，在[VBench](https://huggingface.co/spaces/Vchitect/VBench_Leaderboard)文生视频排行榜取得了新的榜首。相关成果已经整理发表在[论文](http://arxiv.org/abs/2407.11784)中，并且模型已在[ModelScope](https://modelscope.cn/models/Data-Juicer/Data-Juicer-T2V)和[HuggingFace](https://huggingface.co/datajuicer/Data-Juicer-T2V)平台发布。
 - ![new](https://img.alicdn.com/imgextra/i4/O1CN01kUiDtl1HVxN6G56vN_!!6000000000764-2-tps-43-19.png)[2024-07-12] 我们的MLLM-Data精选列表已经演化为一个模型-数据协同开发的角度系统性[综述](https://arxiv.org/abs/2407.08583)。欢迎[浏览](docs/awesome_llm_data.md)或参与贡献!
@@ -423,6 +424,8 @@ Data-Juicer 感谢并参考了社区开源项目：
 
 - [The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective](https://arxiv.org/abs/2407.08583)
 
+- [ImgDiff: Contrastive Data Synthesis for Vision Large Language Models](https://arxiv.org/abs/2408.04594)
+
 - [Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining](https://arxiv.org/abs/2402.11505)
 
 </details>

docs/sphinx_doc/source/_static/tutorial_kdd24.html

@@ -115,6 +115,8 @@ <h6 class="text-left">(10 min) | Conclusion and Resources</h6>
             <div class="col-sm-6 col-lg-12">
                 <p><a href="coming_soon" target="_blank"><b>tutorial slides
                     (pdf)</b></a></p>
+                <p><a href="coming_soon" target="_blank"><b>tutorial jupyter nootbooks
+                    (pdf)</b></a></p>
                 <p>
                     <a href="https://github.com/modelscope/data-juicer/blob/main/docs/awesome_llm_data.md"
                        target="_blank"><b>related awesome list</b></a></p>
@@ -152,7 +154,7 @@ <h4><a id="Speakers">On-site Speakers</a></h4>
                          style="width: 140px; height: 140px;"
                          src="https://img.alicdn.com/imgextra/i4/O1CN01wvOXAa231p3nkuMAL_!!6000000007196-2-tps-435-435.png"
                          data-holder-rendered="true">
-                    <h4><a href="https:/yxdyc.github.io/"
+                    <h4><a href="https://yxdyc.github.io/"
                            target="_blank" style="white-space: nowrap;">Daoyuan
                         Chen</a></h4>
                 </div>