Update README.md

README.md

@@ -41,11 +41,24 @@ configs:
   data_files:
   - split: test
     path: data/test-*
+task_categories:
+- question-answering
+language:
+- en
+tags:
+- Time-series
+- LLMs
+- GPT
+- Gemini
+- Phi
+pretty_name: timeseriesexam1
+size_categories:
+- n<1K
 ---
 
-# Dataset Card for TimeSeriesExam1
+# Dataset Card for TimeSeriesExam-1
 
-This dataset contains Question-Anwser (QA) pairs for [paper](https://arxiv.org/pdf/2410.14752) TimeSeriesExam. The example inference code are provided [here](https://github.com/moment-timeseries-foundation-model/TimeSeriesExam). 
+This dataset provides Question-Answer (QA) pairs for the paper [TimeSeriesExam: A Time Series Understanding Exam](https://arxiv.org/pdf/2410.14752). Example inference code can be found [here](https://github.com/moment-timeseries-foundation-model/TimeSeriesExam).
 
 ## 📖Introduction
 Large Language Models (LLMs) have recently demonstrated a remarkable ability to model time series data. These capabilities can be partly explained if LLMs understand basic time series concepts. However, our knowledge of what these models understand about time series data remains relatively limited. To address this gap, we introduce TimeSeriesExam, a configurable and scalable multiple-choice question exam designed to assess LLMs across five core time series understanding categories: pattern recognition, noise understanding, similarity analysis, anomaly detection, and causality analysis.
@@ -92,5 +105,5 @@ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLI
 
 See [MIT LICENSE](LICENSE) for details.
 
-<img align="right" height ="120px" src="asset/cmu_logo.png">
-<img align="right" height ="110px" src="asset/autonlab_logo.png">
+<img align="right" width ="120px" src="asset/cmu_logo.png">
+<img align="right" width ="110px" src="asset/autonlab_logo.png">