| TITLE = """# 🏅 DABStep Leaderboard""" | |
| INTRODUCTION_TEXT = """ | |
| The Data Agent Benchmark for Multi-step Reasoning (DABStep) is looking to measure and push the state-of-the-art in Data Analysis by LLMs. | |
| The benchmark is composed of ~450 data analysis questions ([Dataset Link](https://huggingface.co./datasets/adyen/data-agents-benchmark)) centered around 1 or more documents that agents will have to understand and cross reference in order to answer correctly. | |
| We have set up a notebook to quickly get an agent baseline using the free Huggingface Inference API: [Colab Notebook](https://colab.research.google.com/drive/1pXi5ffBFNJQ5nn1111SnIfjfKCOlunxu) | |
| """ | |
| SUBMISSION_TEXT = """ | |
| ## Submissions | |
| Scores are expressed as the percentage of correct answers. | |
| Each question calls for an answer that is either a string (one or a few words), a number, or a comma separated list of strings or floats, unless specified otherwise. There is only one correct answer. | |
| Hence, evaluation is done via quasi exact match between a model’s answer and the ground truth (up to some normalization that is tied to the “type” of the ground truth). | |
| We expect submissions to be json-line files with the following format. | |
| Mandatory fields are: `task_id` and `agent_answer`. However, `reasoning_trace` is optional: | |
| ``` | |
| {"task_id": "task_id_1", "agent_answer": "Answer 1 from your agent", "reasoning_trace": "The different steps by which your model reached answer 1"} | |
| {"task_id": "task_id_2", "agent_answer": "Answer 2 from your agent", "reasoning_trace": "The different steps by which your model reached answer 2"} | |
| ``` | |
| Our scoring function can be found [here](https://huggingface.co./spaces/adyen/data-agents-benchmark/blob/main/dabstep_benchmark/evaluation/scorer.py). | |
| """ | |
| CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results" | |
| CITATION_BUTTON_TEXT = r"""@misc{DABstep_benchmark_2025, | |
| title={Data Agent Benchmark for Multi-step Reasoning (🕺DABstep)}, | |
| author={Martin Iglesias, Alex Egg, Friso Kingma}, | |
| year={2025}, | |
| month={February}, | |
| url={https://www.adyen.com/knowledge-hub/data-agent-benchmark-for-multi-step-reasoning-dabstep} | |
| }""" | |