Datasets:

gengyuanmax
/

ICQ-Highlight

@@ -23,7 +23,6 @@ Video understanding is a pivotal task in the digital era, yet the dynamic and mu
 - **Curated by:** Gengyuan Zhang, Ada Mang Ling Fok
 - **Funded by [optional]:** Munich Center of Machine Learning
-<!-- - **Shared by [optional]:** [More Information Needed] -->
 - **Language(s) (NLP):** English
 - **License:** Creative Commons Attribution Non Commercial Share Alike 4.0
@@ -56,7 +55,8 @@ The dataset shall only be used for research purposes.
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-[More Information Needed]
 ## Dataset Creation
@@ -86,7 +86,6 @@ Image generation can suffer from significant imperfections in terms of semantic
 <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
-[More Information Needed]
 ### Annotations [optional]
@@ -102,24 +101,22 @@ We emphasize the meticulous crowd-sourced data curation and annotation effort ap
 We employed human annotators to annotate and modify the natural language queries. Each query is annotated and reviewed by different annotators to ensure consistency.
-#### Who are the annotators?
 <!-- This section describes the people or systems who created the annotations. -->
-[More Information Needed]
 #### Personal and Sensitive Information
 <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-[More Information Needed]
 ## Bias, Risks, and Limitations
 The dataset is synthesized and could include sensitive/unpleasant/hallucinating images.
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
-[More Information Needed]
 ### Recommendations
@@ -133,21 +130,22 @@ Users should be made aware of the risks, biases and limitations of the dataset.
 **BibTeX:**
-[More Information Needed]
-**APA:**
-[More Information Needed]
 ## Glossary [optional]
 <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
-[More Information Needed]
-## More Information [optional]
-[More Information Needed]
 ## Dataset Card Authors [optional]
 - Gengyuan Zhang

 - **Curated by:** Gengyuan Zhang, Ada Mang Ling Fok
 - **Funded by [optional]:** Munich Center of Machine Learning
 - **Language(s) (NLP):** English
 - **License:** Creative Commons Attribution Non Commercial Share Alike 4.0
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+- icq_highlight_release.jsonl: annotation file
+- val_style_*.zip: reference images
 ## Dataset Creation
 <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
 ### Annotations [optional]
 We employed human annotators to annotate and modify the natural language queries. Each query is annotated and reviewed by different annotators to ensure consistency.
+<!-- #### Who are the annotators? -->
 <!-- This section describes the people or systems who created the annotations. -->
 #### Personal and Sensitive Information
 <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
+Despite manual filtering, there might be unpleasant/hallucinating synthesized images. Please contact us if you find any image offensive.
 ## Bias, Risks, and Limitations
 The dataset is synthesized and could include sensitive/unpleasant/hallucinating images.
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 ### Recommendations
 **BibTeX:**
+[TBD]
 ## Glossary [optional]
 <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+<!-- [More Information Needed] -->
+- *cinematic*: cinematic style images
+- *cartoon*: cartoon style images
+- *scribble*: scribble style images
+- *realistic*: realistic style images
+<!-- ## More Information [optional]
+[More Information Needed] -->
 ## Dataset Card Authors [optional]
 - Gengyuan Zhang