Datasets:
Tasks:
Text Generation
Formats:
csv
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
multimodal
License:
Update README.md
Browse files
README.md
CHANGED
@@ -22,7 +22,7 @@ pretty_name: MCiteBench
|
|
22 |
MCiteBench is a benchmark to evaluate multimodal citation text generation in Multimodal Large Language Models (MLLMs).
|
23 |
|
24 |
- Websites: https://caiyuhu.github.io/MCiteBench
|
25 |
-
- Paper: https://arxiv.org/abs/
|
26 |
- Code: https://github.com/caiyuhu/MCiteBench
|
27 |
|
28 |
## Data Download
|
@@ -62,4 +62,7 @@ meta_data: [dict] # Additional metadata used during the constructio
|
|
62 |
distractor_contents: [list] # Similar to `evidence_contents`, but contains distractors, which are irrelevant or misleading information
|
63 |
question_id: [str] # The ID of the question
|
64 |
pdf_id: [str] # The ID of the associated PDF document
|
65 |
-
```
|
|
|
|
|
|
|
|
22 |
MCiteBench is a benchmark to evaluate multimodal citation text generation in Multimodal Large Language Models (MLLMs).
|
23 |
|
24 |
- Websites: https://caiyuhu.github.io/MCiteBench
|
25 |
+
- Paper: https://arxiv.org/abs/2503.02589
|
26 |
- Code: https://github.com/caiyuhu/MCiteBench
|
27 |
|
28 |
## Data Download
|
|
|
62 |
distractor_contents: [list] # Similar to `evidence_contents`, but contains distractors, which are irrelevant or misleading information
|
63 |
question_id: [str] # The ID of the question
|
64 |
pdf_id: [str] # The ID of the associated PDF document
|
65 |
+
```
|
66 |
+
|
67 |
+
## Citation
|
68 |
+
If you find **MCiteBench** useful for your research and applications, please kindly cite using this BibTeX:
|