Duplicate from baharef/ToT

Co-authored-by: Bahare <baharef@users.noreply.huggingface.co>

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README.md

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+---
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- question-answering
+pretty_name: tot
+dataset_info: null
+configs:
+- config_name: tot_arithmetic
+  data_files:
+  - split: test
+    path: tot_arithmetic/test*
+- config_name: tot_semantic
+  data_files:
+  - split: test
+    path: tot_semantic/test*
+- config_name: tot_semantic_large
+  data_files:
+  - split: test
+    path: tot_semantic_large/test*
+tags:
+- tot_arithmetic
+- tot_semantic
+- croissant
+---
+
+# Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
+
+
+ToT is a dataset designed to assess the temporal reasoning capabilities of AI models. It comprises two key sections:
+
+1. **ToT-semantic:** Measuring the semantics and logic of time understanding.
+2. **ToT-arithmetic:** Measuring the ability to carry out time arithmetic operations.
+
+# Dataset Usage
+
+## Downloading the Data
+
+The dataset is divided into three subsets:
+
+- **ToT-semantic:** Measuring the semantics and logic of time understanding. Contains 1,850 examples in total.
+- **ToT-arithmetic:** Measuring the ability to carry out time arithmetic operations. Contains 2,800 examples in total.
+- **ToT-semantic-large:** Measuring the semantics and logic of time understanding in a larger scale. Contains 46,480 examples in total.
+
+To download the dataset, install [Huggingface Datasets](https://huggingface.co/docs/datasets/quickstart) and then use the following command:
+
+```python
+from datasets import load_dataset
+dataset = load_dataset("baharef/ToT")
+```
+
+### Data Format
+
+The *ToT-semantic* and *ToT-semantic-large* datasets contain the following fields:
+
+- **question**: Contains the text of the question.
+- **graph_gen_algorithm**: Contains the name of the graph generator algorithm used to generate the graph.
+- **question_type**: Corresponds to one of the 7 question types in the dataset.
+- **sorting_type**: Correspons to the sorting type applied on the facts to order them.
+- **prompt**: Contains the full prompt text used to evaluate LLMs on the task.
+- **label**: Contains the ground truth answer to the question.
+
+The *ToT-arithmetic* dataset contains the following fields:
+
+- **question**: Contains the text of the question.
+- **question_type**: Corresponds to one of the 7 question types in the dataset.
+- **label**: Contains the ground truth answer to the question.
+
+## Data Source
+**ToT** is generated synthetically using public libraries such as NetworkX.
+- **Purpose:** ToT is primarily designed for use as a test set.
+- **Prohibition:** Using ToT as a training set is strictly prohibited.
+
+Paper: arxiv.org/abs/2406.09170

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