Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
json
Sub-tasks:
multiple-choice-qa
Languages:
English
Size:
< 1K
License:
Update README.md
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README.md
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---
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# Dataset Card for
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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| Model | Authors | Humanities | Social Science | STEM | Other | Average |
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[add models here]
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### Languages
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English
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## Dataset Structure
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### Data Instances
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An example from code subtask looks as follows:
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```
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{
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"question": "The defining idea of Uniswap v3 token is",
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"answer": "A"
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```
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### Data Fields
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- `question`: a string feature
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- `choices`: a list of 4 string features
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- `answer`: a ClassLabel feature
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### Data Splits
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- `test`: all data under test for benchmarking
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### Curation Rationale
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This dataset
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### Source Data
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#### Initial Data Collection and Normalization
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---
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# Dataset Card for LLM Blockchain Benchmark
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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| Model | Authors | Humanities | Social Science | STEM | Other | Average |
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|------------------------------------|----------|:-------:|:-------:|:-------:|:-------:|:-------:|
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[add tested models here]
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### Languages
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English
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## Dataset Structure
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### Data Instances
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An example from code subtask looks as follows:
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```
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{
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"question": "The defining idea of Uniswap v3 token is",
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"answer": "A"
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}
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```
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### Data Fields
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- `question`: a string feature
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- `choices`: a list of 4 string features
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- `answer`: a ClassLabel feature
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### Data Splits
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- `test`: all data under test for benchmarking
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### Curation Rationale
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This dataset addresses the scarcity of benchmarks designed specifically for Language Models (LMs) in the realm of blockchain technology. With the intersection of blockchain and LM technologies gaining traction, a focused dataset becomes essential. This collection serves as a vital resource for advancing research and understanding within the dynamic blockchain landscape.
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### Source Data
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#### Initial Data Collection and Normalization
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