unique-names-gpt4omini-iterative-15k-stage02

Extracted names with cumulative uniqueness tracking

Dataset Info

• Rows: 10
• Columns: 21

Columns

Column	Type	Description
question	Value('string')	No description provided
metadata	Value('string')	No description provided
task_source	Value('string')	No description provided
formatted_prompt	List({'content': Value('string'), 'role': Value('string')})	No description provided
responses_by_sample	List(List(Value('string')))	No description provided
tokens_by_sample	List(Value('int64'))	No description provided
num_rounds_by_sample	List(Value('int64'))	No description provided
continuation_prompts_by_sample	List(List(Value('string')))	No description provided
strategy_type	Value('string')	No description provided
termination_reason_by_sample	List(Value('string'))	No description provided
retry_count_by_sample	List(Value('int64'))	No description provided
extracted_names_by_sample	List(List(Value('string')))	Names extracted from responses [sample_idx][round_idx] = name string or None
uniqueness_by_sample	List(List(Value('bool')))	Whether each name was unique (first occurrence) [sample_idx][round_idx] = bool
normalized_names_by_sample	List(List(Value('string')))	Normalized (lowercase) names for comparison [sample_idx][round_idx]
extraction_success_by_sample	List(List(Value('bool')))	Whether name extraction succeeded [sample_idx][round_idx]
uniqueness_stats_by_sample	List({'duplicate_count': Value('int64'), 'first_duplicate_idx': Value('int64'), 'longest_unique_streak': Value('int64'), 'seen_set_size': Value('int64'), 'total_names': Value('int64'), 'unique_count': Value('int64'), 'uniqueness_rate': Value('float64')})	Statistics dict per sample (unique_count, duplicate_count, etc.)
first_duplicate_idx_by_sample	List(Value('int64'))	Round index where first duplicate occurred (None if no duplicates)
longest_unique_streak_by_sample	List(Value('int64'))	Longest consecutive unique names streak per sample
unique_count_by_sample	List(Value('int64'))	Total unique names per sample
duplicate_count_by_sample	List(Value('int64'))	Total duplicate names per sample
seen_names_by_sample	List(List(Value('string')))	Set of all normalized unique names seen (for debugging)

Generation Parameters

{
  "script_name": "stage_02_extract_names.py",
  "input_source": "reasoning-degeneration-dev/unique-names-gpt4omini-iterative-15k",
  "description": "Extracted names with cumulative uniqueness tracking",
  "experiment": "degen_test_1_unique_names",
  "model": "unknown",
  "hyperparameters": {},
  "input_datasets": []
}

Experiment Documentation

For complete experiment details, see https://github.com/TAUR-Lab/Reasoning-Horizons/tree/main/experiments/degen_test_1_unique_names

Usage

from datasets import load_dataset

dataset = load_dataset("reasoning-degeneration-dev/unique-names-gpt4omini-iterative-15k-stage02", split="train")
print(f"Loaded {len(dataset)} rows")

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This dataset is tracked in reasoning-degeneration-dev/PROJECT-MANIFEST