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README.md
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---
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annotations_creators:
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- no-annotation
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language_creators:
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- no-language
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license: mit
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multilinguality: monolingual
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pretty_name: BenchmarkResults-Migration
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dataset_size: 1
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---
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# BenchmarkResults-Migration
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This dataset contains a single-row CSV with evaluation results for the chosen model checkpoint migrated from the original repository.
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## Dataset summary
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- Repository: MyAwesomeModel evaluation migration
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- Selected checkpoint: step_1000
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- eval_accuracy (from checkpoint config): N/A
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- Number of benchmarks: 15
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- Generated on: 2026-02-13 19:32:06 UTC
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## Benchmarks (columns)
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The CSV contains the following columns, in order:
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- step_number: integer checkpoint step
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- eval_accuracy: eval_accuracy value from checkpoint config (if available)
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## Benchmarks and scores
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- Math Reasoning
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- Logical Reasoning
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- Common Sense
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- Reading Comprehension
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- Question Answering
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- Text Classification
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- Sentiment Analysis
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- Code Generation
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- Creative Writing
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- Dialogue Generation
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- Summarization
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- Translation
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- Knowledge Retrieval
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- Instruction Following
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- Safety Evaluation
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## Usage
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You can download the CSV file directly from the dataset repository and load it with pandas:
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```python
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import pandas as pd
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df = pd.read_csv("https://huggingface.co/datasets/FuryAssassin/BenchmarkResults-Migration/resolve/main/benchmark_results.csv")
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print(df)
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```
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