Update README.md

README.md

@@ -1,8 +1,32 @@
-# TSAQA_benchmark
-Time Series Analysis Question Answering Benchmark
+---
+license: mit
+task_categories:
+- question-answering
+- time-series-forecasting
+language:
+- en
+tags:
+- Time Series
+- Time Series QA
+- Time Series Analysis
+- Time Series Reasoning
+- Time Series Question Answering
+- Unified Time Series QA
+- TSQA
+size_categories:
+- 100K<n<1M
+---
+# Time Series Analysis Question Answering Benchmark (TSAQA)
+
+## Introduction
+
+TSAQA is a novel unified benchmark designed to broaden task coverage and evaluate diverse temporal analysis capabilities.
+TSAQA integrates 6 diverse tasks under a single framework ranging from Conventional Analysis, including anomaly detection and classification, to Advanced Analysis, such as characterization, comparison, data transformation, and temporal relationship analysis.
+Spanning 210k samples across 13 domains, the dataset employs diverse formats, including true-or-false (TF), multiple-choice (MC), and a novel puzzling (PZ), to comprehensively assess time series analysis.
+
+This benchmark allows development of Large Language Models (LLMs) and Time Series Foundation Models (TSFM) specifically for time series analysis and time series reasoning.
 
 <p align="center">
-  <img src="figs/data_statistics.jpg" alt="Domain and Task Distribution of TSAQA" width="40%">
   <img src="figs/final_conventional.png" alt="Illustration of Conventional Tasks" width="58%">
 </p>
 <p align="center">
@@ -24,7 +48,10 @@ Time Series Analysis Question Answering Benchmark
 |                        | Temporal Relationship | Determine the temporal relationship of patches.             | TF & MC & PZ      |
 
 
-
+# Data Statistics of TSAQA
+<p align="center">
+  <img src="figs/data_statistics.jpg" alt="Domain and Task Distribution of TSAQA" width="40%">
+</p>
 
 # 🧠 Task Groups in TSAQA
 TSAQA benchmark encompasses two groups of tasks with six diverse tasks designed to evaluate a model's ability of understanding the fundamental properties of time series data. 
@@ -184,4 +211,4 @@ A total of **37 benchmarks** were selected, spanning domains such as robotics, e
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 ### 🔸 Data Link: 
 https://drive.google.com/file/d/12wBN5ZxYZuN8aQnX3qsbkVTqpyM0aaes/view?usp=sharing
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