readme updated with short intro

README.md

@@ -0,0 +1,75 @@
+---
+license: mit
+extra_gated_prompt: >-
+  You agree to not use the dataset to conduct experiments that cause harm to
+  human subjects. Please note that the data in this dataset may be subject to
+  other agreements. Before using the data, be sure to read the relevant
+  agreements carefully to ensure compliant use. Video copyrights belong to the
+  original video creators or platforms and are for academic research use only.
+task_categories:
+- visual-question-answering
+extra_gated_fields:
+  Name: text
+  Company/Organization: text
+  Country: text
+  E-Mail: text
+modalities:
+- Video
+- Text
+configs:
+- config_name: action_sequence
+  data_files: json/action_sequence.json
+- config_name: moving_count
+  data_files: json/moving_count.json
+- config_name: action_prediction
+  data_files: json/action_prediction.json
+- config_name: episodic_reasoning
+  data_files: json/episodic_reasoning.json
+- config_name: action_antonym
+  data_files: json/action_antonym.json
+- config_name: action_count
+  data_files: json/action_count.json
+- config_name: scene_transition
+  data_files: json/scene_transition.json
+- config_name: object_shuffle
+  data_files: json/object_shuffle.json
+- config_name: object_existence
+  data_files: json/object_existence.json
+- config_name: fine_grained_pose
+  data_files: json/fine_grained_pose.json
+- config_name: unexpected_action
+  data_files: json/unexpected_action.json
+- config_name: moving_direction
+  data_files: json/moving_direction.json
+- config_name: state_change
+  data_files: json/state_change.json
+- config_name: object_interaction
+  data_files: json/object_interaction.json
+- config_name: character_order
+  data_files: json/character_order.json
+- config_name: action_localization
+  data_files: json/action_localization.json
+- config_name: counterfactual_inference
+  data_files: json/counterfactual_inference.json
+- config_name: fine_grained_action
+  data_files: json/fine_grained_action.json
+- config_name: moving_attribute
+  data_files: json/moving_attribute.json
+- config_name: egocentric_navigation
+  data_files: json/egocentric_navigation.json
+language:
+- en
+size_categories:
+- 1K<n<10K
+---
+# Proposed MVTamperBench, a novel benchmark that systematically evaluates the adversarial robustness of VLMs against video specific tampering techniques, with a focus on temporal reasoning and multimodal coherence.
+
+## Dataset Description
+MVTamperBench applies five distinct tampering techniques to the original MVBench videos: Dropping, Masking, Substitution, Repetition, and Rotation. Each tampering effect introduces unique adversarial challenges to test VLM robustness under various conditions
+
+### Tampering Techniques
+- **Dropping**: Removes a 1-second segment, creating temporal discontinuity.
+- **Masking**: Overlays a black rectangle on a 1-second segment, simulating visual data loss.
+- **Rotation**: Rotates a 1-second segment by 180 degrees, introducing spatial distortion.
+- **Substitution**: Replaces a 1-second segment with a random clip from another video, disrupting the temporal and contextual flow.
+- **Repetition**: Repeats a 1-second segment, introducing temporal redundancy.