Update README.md

README.md

@@ -43,6 +43,9 @@ configs:
 # Image2Struct - Music Sheet
 [Paper](TODO) | [Website](https://crfm.stanford.edu/helm/image2structure/latest/) | Datasets ([Webpages](https://huggingface.co/datasets/stanford-crfm/i2s-webpage), [Latex](https://huggingface.co/datasets/stanford-crfm/i2s-latex), [Music sheets](https://huggingface.co/datasets/stanford-crfm/i2s-musicsheet)) | [Leaderboard](https://crfm.stanford.edu/helm/image2structure/latest/#/leaderboard) | [HELM repo](https://github.com/stanford-crfm/helm) | [Image2Struct repo](https://github.com/stanford-crfm/image2structure)
 
+**License:** [Apache License](http://www.apache.org/licenses/) Version 2.0, January 2004
+
+
 ## Dataset description
 Image2struct is a benchmark for evaluating vision-language models in practical tasks of extracting structured information from images.
 This subdataset focuses on Music sheets. The model is given an image of the expected output with the prompt:
@@ -53,4 +56,44 @@ This music sheet was created by me, and I would like to recreate it using Lilypo
 
  The data was collected from IMSLP and has no ground truth. This means that while we prompt models to output some [Lilypond](https://lilypond.org/) code to recreate the image of the music sheet, we do not have access to a Lilypond code that could reproduce the image and would act as a "ground-truth".
 
-There is no **wild** subset as this already constitutes a dataset without ground-truths.
+There is no **wild** subset as this already constitutes a dataset without ground-truths.
+
+
+## Uses
+
+To load the subset `music` of the dataset to be sent to the model under evaluation in Python:
+
+```python
+import datasets
+datasets.load_dataset("stanford-crfm/i2s-musicsheet", "music", split="validation")
+```
+
+
+To evaluate a model on Image2Musicsheet (equation) using [HELM](https://github.com/stanford-crfm/helm/), run the following command-line commands:
+
+```sh
+pip install crfm-helm
+helm-run --run-entries image2musicsheet,model=vlm --models-to-run google/gemini-pro-vision --suite my-suite-i2s --max-eval-instances 10
+```
+
+You can also run the evaluation for only a specific `difficulty`:
+```sh
+helm-run --run-entries image2musicsheet:difficulty=hard,model=vlm --models-to-run google/gemini-pro-vision --suite my-suite-i2s --max-eval-instances 10
+```
+
+For more information on running Image2Struct using [HELM](https://github.com/stanford-crfm/helm/), refer to the [HELM documentation](https://crfm-helm.readthedocs.io/) and the article on [reproducing leaderboards](https://crfm-helm.readthedocs.io/en/latest/reproducing_leaderboards/).
+
+## Citation
+
+**BibTeX:**
+
+```tex
+@misc{roberts2024image2struct,
+      title={Image2Struct: A Benchmark for Evaluating Vision-Language Models in Extracting Structured Information from Images}, 
+      author={Josselin Somerville Roberts and Tony Lee and Chi Heem Wong and Michihiro Yasunaga and Yifan Mai and Percy Liang},
+      year={2024},
+      eprint={TBD},
+      archivePrefix={arXiv},
+      primaryClass={TBD}
+}
+```