--- dataset_info: - config_name: afm-image-enhanced features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 33540312.0 num_examples: 50 download_size: 22563214 dataset_size: 33540312.0 - config_name: chem-lab-basic-w-guidance features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 49673935.0 num_examples: 38 download_size: 49669032 dataset_size: 49673935.0 - config_name: chirality-3d features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 7179563.0 num_examples: 25 download_size: 5423002 dataset_size: 7179563.0 - config_name: cif-qa-ablations features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 10514660.0 num_examples: 42 download_size: 10499837 dataset_size: 10514660.0 - config_name: cif-qa-volume-no-image features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 4363441.0 num_examples: 42 download_size: 4332299 dataset_size: 4363441.0 - config_name: cif-qa-volume-params-as-image features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 164120.0 num_examples: 42 download_size: 141949 dataset_size: 164120.0 - config_name: cif-qa-volume-params-in-text features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 10520390.0 num_examples: 42 download_size: 10505666 dataset_size: 10520390.0 - config_name: electronic-structure-w-guidance features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: 'null' splits: - name: train num_bytes: 16741237.0 num_examples: 23 download_size: 16724801 dataset_size: 16741237.0 - config_name: electronic-structure-wk features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: tolerance dtype: float32 splits: - name: train num_bytes: 18175929.0 num_examples: 24 download_size: 16725805 dataset_size: 18175929.0 - config_name: isomers-3d features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 1985650.0 num_examples: 15 download_size: 1988083 dataset_size: 1985650.0 - config_name: isomers-w-smiles features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 2016795.0 num_examples: 20 download_size: 1984476 dataset_size: 2016795.0 - config_name: mof-adsorption-strength-comparison-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 2077541.0 num_examples: 19 download_size: 2046751 dataset_size: 2077541.0 - config_name: mof-adsorption-strength-order-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 1817233.0 num_examples: 18 download_size: 1788639 dataset_size: 1817233.0 - config_name: mof-capacity-comparison-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 1972312.0 num_examples: 20 download_size: 1918983 dataset_size: 1972312.0 - config_name: mof-capacity-order-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 2189136.0 num_examples: 20 download_size: 2166231 dataset_size: 2189136.0 - config_name: mof-capacity-value-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 1490572.0 num_examples: 20 download_size: 1444601 dataset_size: 1490572.0 - config_name: mof-henry-constant-comparison-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: 'null' splits: - name: train num_bytes: 887734.0 num_examples: 9 download_size: 738426 dataset_size: 887734.0 - config_name: mof-henry-constant-order-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 1102588.0 num_examples: 10 download_size: 905994 dataset_size: 1102588.0 - config_name: mof-working-capacity-comparison-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 1969187.0 num_examples: 20 download_size: 1913031 dataset_size: 1969187.0 - config_name: mof-working-capacity-order-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 1982331.0 num_examples: 20 download_size: 1923357 dataset_size: 1982331.0 - config_name: mof-working-capacity-value-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 1512614.0 num_examples: 20 download_size: 1432783 dataset_size: 1512614.0 - config_name: nmr-ablations features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 707364.0 num_examples: 20 download_size: 503280 dataset_size: 707364.0 - config_name: org-molecules-w-smiles features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 813213.0 num_examples: 10 download_size: 815649 dataset_size: 813213.0 - config_name: org-schema-w-smiles features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 3914269.0 num_examples: 16 download_size: 2781285 dataset_size: 3914269.0 - config_name: spectral-analysis-w-guidance features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 862904.0 num_examples: 20 download_size: 772119 dataset_size: 862904.0 - config_name: table-qa-ablation features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 26273776.0 num_examples: 308 download_size: 11699788 dataset_size: 26273776.0 - config_name: us-patent-figures-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 9315169.0 num_examples: 63 download_size: 6713664 dataset_size: 9315169.0 - config_name: us-patent-plots-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 3915162.0 num_examples: 36 download_size: 2508779 dataset_size: 3915162.0 - config_name: xrd-pattern-matching-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 3165786.0 num_examples: 20 download_size: 2924042 dataset_size: 3165786.0 - config_name: xrd-pattern-matching-xrd-as-text features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 3142466.0 num_examples: 20 download_size: 2944832 dataset_size: 3142466.0 - config_name: xrd-pattern-shape-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: 'null' splits: - name: train num_bytes: 4081932.0 num_examples: 19 download_size: 3980695 dataset_size: 4081932.0 - config_name: xrd-peak-position-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 2259310.0 num_examples: 20 download_size: 1741438 dataset_size: 2259310.0 - config_name: xrd-peak-position-xrd-as-text features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 2221467.0 num_examples: 20 download_size: 1832342 dataset_size: 2221467.0 - config_name: xrd-relative-intensity-wo-terminology features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: 'null' splits: - name: train num_bytes: 2133926.0 num_examples: 19 download_size: 1697032 dataset_size: 2133926.0 - config_name: xrd-relative-intensity-xrd-as-text features: - name: uuid dtype: string - name: image dtype: image - name: canary dtype: string - name: name dtype: string - name: description dtype: string - name: keywords sequence: string - name: preferred_score dtype: string - name: metrics sequence: string - name: examples sequence: string - name: relative_tolerance dtype: float32 splits: - name: train num_bytes: 2304968.0 num_examples: 20 download_size: 1925428 dataset_size: 2304968.0 configs: - config_name: afm-image-enhanced data_files: - split: train path: afm-image-enhanced/train-* - config_name: chem-lab-basic-w-guidance data_files: - split: train path: chem-lab-basic-w-guidance/train-* - config_name: chirality-3d data_files: - split: train path: chirality-3d/train-* - config_name: cif-qa-ablations data_files: - split: train path: cif-qa-ablations/train-* - config_name: cif-qa-volume-no-image data_files: - split: train path: cif-qa-volume-no-image/train-* - config_name: cif-qa-volume-params-as-image data_files: - split: train path: cif-qa-volume-params-as-image/train-* - config_name: cif-qa-volume-params-in-text data_files: - split: train path: cif-qa-volume-params-in-text/train-* - config_name: electronic-structure-w-guidance data_files: - split: train path: electronic-structure-w-guidance/train-* - config_name: electronic-structure-wk data_files: - split: train path: electronic-structure-wk/train-* - config_name: isomers-3d data_files: - split: train path: isomers-3d/train-* - config_name: isomers-w-smiles data_files: - split: train path: isomers-w-smiles/train-* - config_name: mof-adsorption-strength-comparison-wo-terminology data_files: - split: train path: mof-adsorption-strength-comparison-wo-terminology/train-* - config_name: mof-adsorption-strength-order-wo-terminology data_files: - split: train path: mof-adsorption-strength-order-wo-terminology/train-* - config_name: mof-capacity-comparison-wo-terminology data_files: - split: train path: mof-capacity-comparison-wo-terminology/train-* - config_name: mof-capacity-order-wo-terminology data_files: - split: train path: mof-capacity-order-wo-terminology/train-* - config_name: mof-capacity-value-wo-terminology data_files: - split: train path: mof-capacity-value-wo-terminology/train-* - config_name: mof-henry-constant-comparison-wo-terminology data_files: - split: train path: mof-henry-constant-comparison-wo-terminology/train-* - config_name: mof-henry-constant-order-wo-terminology data_files: - split: train path: mof-henry-constant-order-wo-terminology/train-* - config_name: mof-working-capacity-comparison-wo-terminology data_files: - split: train path: mof-working-capacity-comparison-wo-terminology/train-* - config_name: mof-working-capacity-order-wo-terminology data_files: - split: train path: mof-working-capacity-order-wo-terminology/train-* - config_name: mof-working-capacity-value-wo-terminology data_files: - split: train path: mof-working-capacity-value-wo-terminology/train-* - config_name: nmr-ablations data_files: - split: train path: nmr-ablations/train-* - config_name: org-molecules-w-smiles data_files: - split: train path: org-molecules-w-smiles/train-* - config_name: org-schema-w-smiles data_files: - split: train path: org-schema-w-smiles/train-* - config_name: spectral-analysis-w-guidance data_files: - split: train path: spectral-analysis-w-guidance/train-* - config_name: table-qa-ablation data_files: - split: train path: table-qa-ablation/train-* - config_name: us-patent-figures-wo-terminology data_files: - split: train path: us-patent-figures-wo-terminology/train-* - config_name: us-patent-plots-wo-terminology data_files: - split: train path: us-patent-plots-wo-terminology/train-* - config_name: xrd-pattern-matching-wo-terminology data_files: - split: train path: xrd-pattern-matching-wo-terminology/train-* - config_name: xrd-pattern-matching-xrd-as-text data_files: - split: train path: xrd-pattern-matching-xrd-as-text/train-* - config_name: xrd-pattern-shape-wo-terminology data_files: - split: train path: xrd-pattern-shape-wo-terminology/train-* - config_name: xrd-peak-position-wo-terminology data_files: - split: train path: xrd-peak-position-wo-terminology/train-* - config_name: xrd-peak-position-xrd-as-text data_files: - split: train path: xrd-peak-position-xrd-as-text/train-* - config_name: xrd-relative-intensity-wo-terminology data_files: - split: train path: xrd-relative-intensity-wo-terminology/train-* - config_name: xrd-relative-intensity-xrd-as-text data_files: - split: train path: xrd-relative-intensity-xrd-as-text/train-* annotations_creators: - expert-generated language_creators: - expert-generated language: - en license: - mit multilinguality: - monolingual size_categories: - 1K ![MaCBench Logo](MacBench_logo.png) [![Dataset](https://img.shields.io/badge/πŸ€—%20Hugging%20Face-Dataset-yellow)](https://huggingface.co/datasets/jablonkagroup/MaCBench) [![Leaderboard](https://img.shields.io/badge/πŸ†%20Leaderboard-Live-orange)](https://huggingface.co/spaces/jablonkagroup/MaCBench-Leaderboard) [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![Paper](https://img.shields.io/badge/πŸ“„-Paper-red)](https://arxiv.org/abs/2411.16955) [![Code](https://img.shields.io/badge/πŸ’»-Code-purple)](https://github.com/lamalab-org/chembench/tree/main) [![Website](https://img.shields.io/badge/🌐-Website-green)](https://macbench.lamalab.org/) *A Chemistry and Materials Benchmark for evaluating Vision Large Language Models* --- ## ⚠️ **IMPORTANT NOTICE - NOT FOR TRAINING**
### 🚫 **THIS DATASET IS STRICTLY FOR EVALUATION PURPOSES ONLY** 🚫 **DO NOT USE THIS DATASET FOR TRAINING OR FINE-TUNING MODELS** This benchmark is designed exclusively for **evaluation and testing** of existing models. Using this data for training would compromise the integrity of the benchmark and invalidate evaluation results. Please respect the evaluation-only nature of this dataset to maintain fair and meaningful comparisons across different AI systems.
--- **MaCBench-Ablations** is the ablation dataset for MaCBench. This data is the result of systematically removing or altering specific components of the original MaCBench dataset to evaluate the impact on model performance. Thus the **MaCBench-Ablations** dataset serves as a valuable tool for understanding the contributions of different data modalities and question types in the evaluation of LLMs. As a result, the dataset comprises 1153 multimodal questions about chemistry and each designed to probe specific aspects of model performance.πŸ‘¨β€πŸ”¬ **MaCBench** is a benchmark designed to evaluate the chemistry and materials **multimodal capabilities** of Large Language Models (LLMs). πŸ”¬ The questions in the corpus span different fields of chemistry and materials science, capturing various levels of complexity, from simple multiple-choice questions (MCQs) to open-ended reasoning-based questions. All the content is made open-source under the **MIT license**, allowing for: - βœ… Commercial and non-commercial use - βœ… Modification and derivatives - βœ… Distribution and private use - ⚠️ Attribution required - ⚠️ No warranty provided ## πŸ“– Data Fields The dataset contains the following fields for all the questions: - `uuid` (str): a unique identifier for the question, which can be used to identify the question in the dataset. This field is used to ensure that each question has a unique identifier, which can be used to track the question and its performance over time. πŸ”‘ - `image` (image): an image associated with the question, which can be used to provide additional context and information for the question. This field is used to provide a visual representation of the question, which can be used to help the LLMs understand the question and provide a more accurate answer. πŸ–ΌοΈ - `canary` (str): a canary string to avoid that the dataset gets leaked into some training set. 🐦 - `name` (str): the name of the question, which can be used to identify the question in the dataset. πŸ“ - `description` (str): a description of the question, which can be used to understand the context and the expected answer. πŸ“„ - `keywords` (list of str): a list of keywords that can be used to search for the question in the dataset. These keywords are used to index the question and to facilitate the search for similar questions. 🏷️ - `preferred_score` (str): the preferred score for the question, which can be used to evaluate the performance of the LLMs on the question. This field is used to indicate the expected score for the question, which can be used to compare the results with other models. For MCQ questions, it will be `multiple_choice_grade`, while for open-ended questions it will be `mae` for most of the questions. πŸ“Š - `metrics` (list of str): a list of metrics that can be used to evaluate the question. These metrics are used to measure the performance of the LLMs on the question and to compare the results with other models. They will differ from MCQ to open-ended questions. For MCQ questions, the metric is `multiple_choice_grade`. For open-ended questions, the metrics are `exact_string_match`, `mae`, and `mse`. πŸ“ - `examples` (list of dict): a list of examples that can be used to understand the question and the expected answer. Each example contains the following fields: - `input` (str): the question to be answered. ❓ - `target` (str, optional): the expected value for the open-ended questions. For multiple-choice questions, this field is empty. 🎯 - `target_scores` (str, optional): For MCQ questions, the choices with the correct answer or answers labeled as `1` and the incorrect ones as `0`. For open-ended questions this field is empty. βœ… - `relative_tolerance` (float, optional): the relative tolerance for the open-ended questions, which can be used to evaluate the performance of the LLMs on the question. This field is used to indicate the acceptable deviation from the expected answer for the open-ended questions. For MCQ questions, this field is empty. βš–οΈ ## πŸš€ Usage ```python from chembench.prompter import PrompterBuilder prompter = PrompterBuilder.from_model_object( model="anthropic/claude-3-5-sonnet-20240620", # prompt_type="multimodal_instruction", # ) benchmark = ChemBenchmark.from_huggingface("jablonkagroup/MaCBench-Ablations") results = benchmark.bench( prompter, ) ``` For more in depth usage, please refer to the [documentation](https://lamalab-org.github.io/chembench/). πŸ“š ## πŸ“„ Citation If you use ChemBench in your research, please cite: ```bibtex @article{alampara2024probing, title = {Probing the limitations of multimodal language models for chemistry and materials research}, author = {Nawaf Alampara and Mara Schilling-Wilhelmi and MartiΓ±o RΓ­os-GarcΓ­a and Indrajeet Mandal and Pranav Khetarpal and Hargun Singh Grover and N. M. Anoop Krishnan and Kevin Maik Jablonka}, year = {2024}, journal = {arXiv preprint arXiv: 2411.16955} } ``` ## πŸ‘₯ Contact & Support - **πŸ“„ Paper**: [arXiv Publication](https://arxiv.org/abs/2411.16955) - **🌐 Website**: [MaCBench Project](https://macbench.lamalab.org/) - **πŸ€— Dataset**: [Hugging Face](https://huggingface.co/datasets/jablonkagroup/MaCBench) - **πŸ€— Ablation Dataset**: [Hugging Face](https://huggingface.co/datasets/jablonkagroup/MaCBench-Ablations) - **πŸ€— Prompt Ablation Dataset**: [Hugging Face](https://huggingface.co/datasets/jablonkagroup/MaCBench-Prompt-Ablations) - **πŸ† Leaderboard**: [Model Performance Rankings](https://huggingface.co/spaces/jablonkagroup/MaCBench-Leaderboard) - **πŸ’» Code**: [GitHub Repository](https://github.com/lamalab-org/macbench) - **πŸ“š Documentation**: [Full Documentation for the Benchmark Runtime](https://lamalab-org.github.io/chembench/) - **❓ Issues**: Report problems or ask questions via the Hugging Face dataset page or GitHub repository ---
![LamaLab logo](png-file.png) Advancing the evaluation of AI systems in chemistry and materials science