Datasets:
Formats:
json
Languages:
English
Size:
< 1K
Tags:
functional-metacognition
self-correction
reasoning
benchmark
error-recovery
declarative-procedural-gap
DOI:
License:
Update README.md
Browse files
README.md
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@@ -48,10 +48,10 @@ dataset_info:
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sequence: string
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config_name: default
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splits:
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- name:
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num_examples: 100
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data_files:
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- split:
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path: FINAL_Bench_100.jsonl
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---
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```python
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from datasets import load_dataset
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dataset = load_dataset("FINAL-Bench/Metacognitive", split="
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# Total 100 tasks
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print(f"Total tasks: {len(dataset)}")
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sequence: string
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config_name: default
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splits:
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- name: train
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num_examples: 100
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data_files:
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- split: train
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path: FINAL_Bench_100.jsonl
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---
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```python
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from datasets import load_dataset
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dataset = load_dataset("FINAL-Bench/Metacognitive", split="train")
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# Total 100 tasks
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print(f"Total tasks: {len(dataset)}")
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