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README.md
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title: MTEB Human Evaluation Demo
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emoji: π
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colorFrom: blue
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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---
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# MTEB Human Evaluation Demo
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This is a demo of the human evaluation interface for the MTEB (Massive Text Embedding Benchmark) project. It allows annotators to evaluate the relevance of documents for reranking tasks.
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## How to use
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1. Navigate to the "Demo" tab to try the interface with an example dataset (AskUbuntuDupQuestions)
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2. Read the query at the top
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3. For each document, assign a rank using the dropdown (1 = most relevant)
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4. Submit your rankings
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5. Navigate between samples using the Previous/Next buttons
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6. Your annotations are saved automatically
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## About MTEB Human Evaluation
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This project aims to establish human performance benchmarks for MTEB tasks, helping to understand the realistic "ceiling" for embedding model performance.
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---
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title: MTEB Human Evaluation Demo
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emoji: π
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colorFrom: blue
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+
colorTo: indigo
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sdk: gradio
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sdk_version: 5.23.3
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app_file: app.py
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pinned: false
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---
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+
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# MTEB Human Evaluation Demo
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+
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+
This is a demo of the human evaluation interface for the MTEB (Massive Text Embedding Benchmark) project. It allows annotators to evaluate the relevance of documents for reranking tasks.
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15 |
+
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## How to use
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+
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1. Navigate to the "Demo" tab to try the interface with an example dataset (AskUbuntuDupQuestions)
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+
2. Read the query at the top
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+
3. For each document, assign a rank using the dropdown (1 = most relevant)
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4. Submit your rankings
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+
5. Navigate between samples using the Previous/Next buttons
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6. Your annotations are saved automatically
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+
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## About MTEB Human Evaluation
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+
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This project aims to establish human performance benchmarks for MTEB tasks, helping to understand the realistic "ceiling" for embedding model performance.
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