Add link to paper, add table-question-answering task category and code to reproduce results

This PR ensures the dataset is linked to the paper (and can be found via the paper), using https://huggingface.co/papers/2506.14028

This PR also ensures the appropriate task category is selected.

The PR also adds the code used to reproduce the results.

README.md

@@ -1,4 +1,17 @@
 ---
+language:
+- en
+- zh
+- jp
+- es
+- el
+license: apache-2.0
+size_categories:
+- n<1K
+task_categories:
+- question-answering
+- table-question-answering
+pretty_name: PolyFiQA-Expert
 dataset_info:
   features:
   - name: task_id
@@ -20,21 +33,9 @@ configs:
   data_files:
   - split: test
     path: data/test-*
-license: apache-2.0
-language:
-- en
-- zh
-- jp
-- es
-- el
 tags:
 - finance
 - multilingual
-pretty_name: PolyFiQA-Expert
-size_categories:
-- n<1K
-task_categories:
-- question-answering
 ---
 
 # Dataset Card for PolyFiQA-Expert
@@ -67,7 +68,7 @@ task_categories:
 
 - **Homepage:** https://huggingface.co/collections/TheFinAI/multifinben-6826f6fc4bc13d8af4fab223
 - **Repository:** https://huggingface.co/datasets/TheFinAI/polyfiqa-expert
-- **Paper:** MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation
+- **Paper:** [MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation](https://huggingface.co/papers/2506.14028)
 - **Leaderboard:** https://huggingface.co/spaces/TheFinAI/Open-FinLLM-Leaderboard
 
 ### Dataset Summary
@@ -78,6 +79,7 @@ task_categories:
 
 - **Tasks:**
   - question-answering
+  - table-question-answering
 - **Evaluation Metrics:**
   - ROUGE-1
 
@@ -185,4 +187,80 @@ If you use this dataset, please cite:
       primaryClass={cs.CL},
       url={https://arxiv.org/abs/2506.14028}, 
 }
-```
+```
+
+### Code to reproduce results
+
+1. Navigate to the evaluation folder:
+   ```bash
+   cd FinBen/finlm_eval/
+   ```
+
+2. Create and activate a new conda environment:
+   ```bash
+   conda create -n finben python=3.12
+   conda activate finben
+   ```
+
+3. Install the required dependencies:
+   ```bash
+   pip install -e .
+   pip install -e .[vllm]
+   ```
+
+4. Log into Hugging Face
+
+Set your Hugging Face token as an environment variable:
+```bash
+export HF_TOKEN="your_hf_token"
+```
+
+5. Model Evaluation
+
+6. Navigate to the FinBen directory:
+   ```bash
+   cd FinBen/
+   ```
+
+7. Set the VLLM worker multiprocessing method:
+   ```bash
+   export VLLM_WORKER_MULTIPROC_METHOD="spawn"
+   ```
+
+8. Run evaluation:
+
+   Important Notes on Evaluation
+   - 0-shot setting: Use `num_fewshot=0` and `lm-eval-results-gr-0shot` as the results repository.
+   - 5-shot setting: Use `num_fewshot=5` and `lm-eval-results-gr-5shot` as the results repository.
+   - Base models: Remove `apply_chat_template`.
+   - Instruction models: Use `apply_chat_template`.
+
+   For gr Tasks
+   Execute the following command:
+   ```bash
+   lm_eval --model vllm \
+      --model_args "pretrained=meta-llama/Llama-3.2-1B-Instruct,tensor_parallel_size=4,gpu_memory_utilization=0.8,max_model_len=1024" \
+      --tasks gr \
+      --num_fewshot 5 \
+      --batch_size auto \
+      --output_path results \
+      --hf_hub_log_args "hub_results_org=TheFinAI,details_repo_name=lm-eval-results-gr-5shot,push_results_to_hub=True,push_samples_to_hub=True,public_repo=False" \
+      --log_samples \
+      --apply_chat_template \
+      --include_path ./tasks
+   ```
+
+   For gr_long Task
+   Execute the following command:
+   ```bash
+   lm_eval --model vllm \
+       --model_args "pretrained=Qwen/Qwen2.5-72B-Instruct,tensor_parallel_size=4,gpu_memory_utilization=0.8,max_length=8192" \
+       --tasks gr_long \
+       --num_fewshot 5 \
+       --batch_size auto \
+       --output_path results \
+       --hf_hub_log_args "hub_results_org=TheFinAI,details_repo_name=lm-eval-results-gr-5shot,push_results_to_hub=True,push_samples_to_hub=True,public_repo=False" \
+       --log_samples \
+       --apply_chat_template \
+       --include_path ./tasks
+   ```