Update README.md

README.md

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 - code
 - finance
 - math
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+pretty_name: 'Add Human Feedback to Your AI '
+size_categories:
+- 10K<n<100K
+---
+General Overview
+The dataset consists of 50 rows (excluding headers) and 8 columns. The columns capture various aspects of ranked responses to prompts, including:
+Numeric_ID (Unique Identifier - Integer)
+Prompt (The Question or Task - Text)
+Answer_A / Answer_B (Response Options - Text)
+Category (Type of Task - Categorical)
+Best Answer (Preferred Response - Categorical)
+LikeRT Score (Ranking Score - Numeric)
+Comments (Reviewer Comments)
+Statistical Insights
+Category Distribution
+
+
+General Knowledge (30%)
+Instruction Following (26%)
+Safety (24%)
+Reasoning (20%)
+
+Best Answer Trends
+
+
+"A" was chosen as the best answer 25 times (50%).
+"B" was chosen 24 times (48%).
+One case had both "A/B" as the correct response.
+
+LikeRT Score Analysis
+
+
+‘Mode’ Score: 2
+Minimum Score: 2
+Maximum Score: 6
+The majority of scores fall within the 2-6 range, indicating a fair rating distribution.
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+
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+Data Trends & Patterns
+Distribution of LikeRT Scores
+
+Most scores hover around 2, 3, or 6, forming three distinct peaks.
+The dataset does not exhibit extreme outliers beyond the expected range.
+
+Category-Based Performance Trends
+
+"General Knowledge" and "Safety" questions tend to have higher LikeRT scores, indicating clearer or more objective evaluation criteria.
+"Instruction-Following" has more variability, due to subjective interpretations.
+
+Best Answer vs. LikeRT Score Correlation
+
+No significant bias between "A" or "B" in terms of overall LikeRT scores.
+The choice of "Best Answer" is distributed fairly evenly between the two responses.
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+Approach to Data Collection & Review
+The dataset was compiled through a structured annotation process, likely involving the following steps:
+Prompt Selection: Diverse questions were designed across multiple categories.
+Response Generation: Two alternative answers (A & B) were provided for each prompt.
+Validation Process: Annotators selected the preferred response and assigned a LikeRT Score.
+Quality Assurance: Reviewers then reviewed the data to ensure it was error-free.
+Final Summary & Conclusion
+The dataset is well-structured and provides a clear ranking system.
+There is balance in the selection of Best Answers, indicating an unbiased reviewing process.
+LikeRT Scores are evenly distributed, without major outliers or anomalies.