Update README.md

README.md

@@ -50,17 +50,19 @@ dataset_info:
   dataset_size: 1911299268.0
 ---
 
-# Dataset Card for SciFIBench
+# SciFIBench
+NeurIPS 2024
 
 ## Dataset Description
 
-- **Homepage:** [https://github.com/jonathan-roberts1/SciFIBench](https://github.com/jonathan-roberts1/SciFIBench)
+- **Homepage:** [SciFIBench](https://scifibench.github.io/)
 - **Paper:** [SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation](https://arxiv.org/pdf/2405.08807)
-
+- **Repository** [Needle Threading](https://github.com/jonathan-roberts1/SciFIBench)
+- 
 ### Dataset Summary
-The SciFIBench (Scientific Figure Interpretation Benchmark) contains 1000 multiple-choice scientific figure interpretation questions covering two tasks. Task 1: 
+The SciFIBench (Scientific Figure Interpretation Benchmark) contains 2000 multiple-choice scientific figure interpretation questions covering two tasks. Task 1: 
 Figure -> Caption involves selecting the most appropriate caption given a figure; Task 2: Caption -> Figure involves the opposite -- selecting the most appropriate 
-figure given a caption. This benchmark was curated from the SciCap dataset, using adversarial filtering to obtain hard negatives. Human verification has been performed 
+figure given a caption. This benchmark was curated from the SciCap and ArxivCap datasets, using adversarial filtering to obtain hard negatives. Human verification has been performed 
 on each question to ensure high-quality, 
 answerable questions.
 
@@ -70,23 +72,34 @@ from datasets import load_dataset
 
 # load dataset
 dataset = load_dataset("jonathan-roberts1/SciFIBench") # optional: set cache_dir="PATH/TO/MY/CACHE/DIR"
-# figure2caption_dataset = load_dataset("jonathan-roberts1/SciFIBench", split="Figure2Caption")
-# caption2figure_dataset = load_dataset("jonathan-roberts1/SciFIBench", split="Caption2Figure")
+# there are 4 dataset splits, which can be indexed separately 
+# cs_figure2caption_dataset = load_dataset("jonathan-roberts1/SciFIBench", split="CS_Figure2Caption")
+# cs_caption2figure_dataset = load_dataset("jonathan-roberts1/SciFIBench", split="CS_Caption2Figure")
+# general_figure2caption_dataset = load_dataset("jonathan-roberts1/SciFIBench", split="General_Figure2Caption")
+# general_caption2figure_dataset = load_dataset("jonathan-roberts1/SciFIBench", split="General_Caption2Figure")
 """
 DatasetDict({
-    Caption2Figure: Dataset({
+    CS_Caption2Figure: Dataset({
+        features: ['ID', 'Question', 'Options', 'Answer', 'Category', 'Images'],
+        num_rows: 500
+    })
+    CS_Figure2Caption: Dataset({
+        features: ['ID', 'Question', 'Options', 'Answer', 'Category', 'Images'],
+        num_rows: 500
+    })
+    General_Caption2Figure: Dataset({
         features: ['ID', 'Question', 'Options', 'Answer', 'Category', 'Images'],
         num_rows: 500
     })
-    Figure2Caption: Dataset({
+    General_Figure2Caption: Dataset({
         features: ['ID', 'Question', 'Options', 'Answer', 'Category', 'Images'],
         num_rows: 500
     })
 })
 """
 
-# select task
-figure2caption_dataset = dataset['Figure2Caption']
+# select task and split
+cs_figure2caption_dataset = dataset['CS_Figure2Caption']
 """
 Dataset({
     features: ['ID', 'Question', 'Options', 'Answer', 'Category', 'Images'],
@@ -95,7 +108,7 @@ Dataset({
 """
 
 # query items
-figure2caption_dataset[40] # e.g., the 41st element
+cs_figure2caption_dataset[40] # e.g., the 41st element
 """
 {'ID': 40,
  'Question': 'Which caption best matches the image?',
@@ -112,7 +125,7 @@ figure2caption_dataset[40] # e.g., the 41st element
 
 ### Source Data
 
-More information regarding the source data can be found at: https://github.com/tingyaohsu/SciCap
+More information regarding the source data can be found at: https://github.com/tingyaohsu/SciCap and https://mm-arxiv.github.io/.
 
 ### Dataset Curators