iLampard commited on
Commit
b3fb6c5
·
verified ·
1 Parent(s): 6c74eb7

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -1
README.md CHANGED
@@ -108,6 +108,7 @@ The project code is available at https://github.com/famma-bench/bench-script.
108
  ## NEWS
109
 
110
  🔥 **Latest Updates**:
 
111
  - [2025/02] Release of `release_v2501` dataset.
112
  - [2025/01] Release of `release_v2406` dataset, now including answers and explanations with enhanced quality.
113
  - [2024/06] Initial public release of `FAMMA` benchmark (based on the `release_v2406` dataset), along with our paper: [FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering](https://arxiv.org/abs/2410.04526).
@@ -118,7 +119,7 @@ The project code is available at https://github.com/famma-bench/bench-script.
118
  FAMMA is continuously updated with new questions. We provide different versions of the dataset:
119
 
120
  * `release_v2406`: The release containing 1935 questions, collected from online sources. Apart from the questions, both answers and explanations are provided.
121
- * `release_v2501`: The release containing 100 questions, created by invited experts. Only the questions are provided.
122
 
123
 
124
  ## Dataset Structure
 
108
  ## NEWS
109
 
110
  🔥 **Latest Updates**:
111
+ - [2025/03] Add `is_arithmetic` column in the dataset to indicate whether the question involves heavy compuation.
112
  - [2025/02] Release of `release_v2501` dataset.
113
  - [2025/01] Release of `release_v2406` dataset, now including answers and explanations with enhanced quality.
114
  - [2024/06] Initial public release of `FAMMA` benchmark (based on the `release_v2406` dataset), along with our paper: [FAMMA: A Benchmark for Financial Domain Multilingual Multimodal Question Answering](https://arxiv.org/abs/2410.04526).
 
119
  FAMMA is continuously updated with new questions. We provide different versions of the dataset:
120
 
121
  * `release_v2406`: The release containing 1935 questions, collected from online sources. Apart from the questions, both answers and explanations are provided.
122
+ * `release_v2501`: The release containing 103 questions, created by invited experts. Only the questions are provided.
123
 
124
 
125
  ## Dataset Structure