MSVD-CTN
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# MSVD-CTN Dataset
This dataset contains CTN annotations for the MSVD-CTN benchmark dataset in JSON format. It has three files for the train, test, and validation splits.
For project details, visit https://narrativebridge.github.io/.
## Dataset Structure
Each JSON file contains a dictionary where the keys are the video IDs and the values are the corresponding Causal-Temporal Narrative (CTN) captions. The CTN captions are represented as a dictionary with two keys: "Cause" and "Effect", containing the cause and effect statements, respectively.
Example:
``json
{
"video_id_1": {
"Cause": "a person performed an action",
"Effect": "a specific outcome occurred"
},
"video_id_2": {
"Cause": "another cause statement",
"Effect": "another effect statement"
}
}
`
## Loading the Datasets
To load the datasets, use a JSON parsing library in your preferred programming language. For example, in Python, you can use the json module:
`python
import json
with open("msvd_CTN_train.json", "r") as f:
msvd_train_data = json.load(f)
# Access the CTN captions
for video_id, ctn_caption in msvd_train_data.items():
cause = ctn_caption["Cause"]
effect = ctn_caption["Effect"]
# Process the cause and effect statements as needed
``
## License
The MSVD-CTN benchmark dataset is licensed under the Creative Commons Attribution Non Commercial No Derivatives 4.0 International (CC BY-NC-ND 4.0) license.