Update README.md

README.md

@@ -230,6 +230,9 @@ tags:
 # Image2Struct - Latex
 [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 LaTeX code. The model is given an image of the expected output with the prompt:
@@ -243,4 +246,43 @@ This subdataset focuses on LaTeX code. The model is given an image of the expect
 * algorithms
 * code
 
-The last category: **wild**, was collected by taking screenshots of equations in the Wikipedia page of "equation" and its related pages.
+The last category: **wild**, was collected by taking screenshots of equations in the Wikipedia page of "equation" and its related pages.
+
+## Uses
+
+To load the subset `equation` of the dataset to be sent to the model under evaluation in Python:
+
+```python
+import datasets
+datasets.load_dataset("stanford-crfm/i2s-latex", "equation", split="validation")
+```
+
+
+To evaluate a model on Image2Latex (equation) using [HELM](https://github.com/stanford-crfm/helm/), run the following command-line commands:
+
+```sh
+pip install crfm-helm
+helm-run --run-entries image2latex:subset=equation,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 `subset` and `difficulty`:
+```sh
+helm-run --run-entries image2latex:subset=equation,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}
+}
+```