README.md

---
dataset_info:
- config_name: Qwen--Qwen2.5-Math-1.5B-Instruct
  features:
  - name: formatted_prompt
    dtype: string
  - name: generated_solutions
    list:
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    - name: output_cost_usd
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    - name: output_tokens
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    - name: rollout_cost_usd
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    - name: score
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    - name: text
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  - name: ground_truth
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  - name: k
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  - name: majority_vote_is_correct
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  - name: split
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  - name: success_rate
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  - name: task
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  - name: temperature
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  - name: total_cost_usd
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  - name: total_input_tokens
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  - name: total_output_cost_usd
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  - name: total_output_tokens
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  splits:
  - name: train
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    num_examples: 6000
  - name: validation
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    num_examples: 1500
  - name: test
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    num_examples: 5000
  download_size: 31519410
  dataset_size: 109287454
- config_name: Qwen--Qwen2.5-Math-7B-Instruct
  features:
  - name: formatted_prompt
    dtype: string
  - name: generated_solutions
    list:
    - name: input_cost_usd_once
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    - name: input_tokens
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    - name: output_cost_usd
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    - name: output_tokens
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    - name: rollout_cost_usd
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    - name: score
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    - name: text
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  - name: ground_truth
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  - name: k
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  - name: majority_vote_extracted_answer
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  - name: majority_vote_is_correct
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  - name: max_len
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  - name: model_name
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  - name: problem
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  - name: problem_id
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  - name: rating
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  - name: split
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  - name: success_rate
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  - name: task
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  - name: temperature
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  - name: total_cost_usd
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  - name: total_input_tokens
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  - name: total_output_cost_usd
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  - name: total_output_tokens
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  splits:
  - name: train
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    num_examples: 6000
  - name: validation
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    num_examples: 1500
  - name: test
    num_bytes: 54200316
    num_examples: 5000
  download_size: 56254649
  dataset_size: 138338885
- config_name: deepseek-ai--DeepSeek-R1-Distill-Qwen-7B
  features:
  - name: formatted_prompt
    dtype: string
  - name: generated_solutions
    list:
    - name: input_cost_usd_once
      dtype: float64
    - name: input_tokens
      dtype: int64
    - name: output_cost_usd
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    - name: output_tokens
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    - name: rollout_cost_usd
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    - name: score
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    - name: text
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  - name: ground_truth
    dtype: string
  - name: input_cost_usd_once
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  - name: k
    dtype: int64
  - name: majority_vote_extracted_answer
    dtype: string
  - name: majority_vote_is_correct
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  - name: max_len
    dtype: int64
  - name: model_name
    dtype: string
  - name: pass_at_k
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  - name: problem
    dtype: string
  - name: problem_id
    dtype: string
  - name: rating
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  - name: split
    dtype: string
  - name: success_rate
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  - name: task
    dtype: string
  - name: temperature
    dtype: float64
  - name: total_cost_usd
    dtype: float64
  - name: total_input_tokens
    dtype: int64
  - name: total_output_cost_usd
    dtype: float64
  - name: total_output_tokens
    dtype: int64
  splits:
  - name: train
    num_bytes: 336640666
    num_examples: 6000
  - name: validation
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    num_examples: 1500
  - name: test
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    num_examples: 5000
  download_size: 256894988
  dataset_size: 675445288
- config_name: openai--gpt-oss-20b_high
  features:
  - name: formatted_prompt
    dtype: string
  - name: generated_solutions
    list:
    - name: input_cost_usd_once
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    - name: input_tokens
      dtype: int64
    - name: output_cost_usd
      dtype: float64
    - name: output_tokens
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    - name: rollout_cost_usd
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    - name: score
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    - name: text
      dtype: string
  - name: ground_truth
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  - name: input_cost_usd_once
    dtype: float64
  - name: k
    dtype: int64
  - name: majority_vote_extracted_answer
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  - name: majority_vote_is_correct
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  - name: max_len
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  - name: model_name
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  - name: pass_at_k
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  - name: problem
    dtype: string
  - name: problem_id
    dtype: string
  - name: rating
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  - name: split
    dtype: string
  - name: success_rate
    dtype: float64
  - name: task
    dtype: string
  - name: temperature
    dtype: float64
  - name: total_cost_usd
    dtype: float64
  - name: total_input_tokens
    dtype: int64
  - name: total_output_cost_usd
    dtype: float64
  - name: total_output_tokens
    dtype: int64
  splits:
  - name: train
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    num_examples: 6000
  - name: validation
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    num_examples: 1500
  - name: test
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    num_examples: 5000
  download_size: 559282407
  dataset_size: 1191343713
- config_name: openai--gpt-oss-20b_low
  features:
  - name: formatted_prompt
    dtype: string
  - name: generated_solutions
    list:
    - name: input_cost_usd_once
      dtype: float64
    - name: input_tokens
      dtype: int64
    - name: output_cost_usd
      dtype: float64
    - name: output_tokens
      dtype: int64
    - name: rollout_cost_usd
      dtype: float64
    - name: score
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    - name: text
      dtype: string
  - name: ground_truth
    dtype: string
  - name: input_cost_usd_once
    dtype: float64
  - name: k
    dtype: int64
  - name: majority_vote_extracted_answer
    dtype: string
  - name: majority_vote_is_correct
    dtype: int8
  - name: max_len
    dtype: int64
  - name: model_name
    dtype: string
  - name: pass_at_k
    dtype: float64
  - name: problem
    dtype: string
  - name: problem_id
    dtype: string
  - name: rating
    dtype: float64
  - name: split
    dtype: string
  - name: success_rate
    dtype: float64
  - name: task
    dtype: string
  - name: temperature
    dtype: float64
  - name: total_cost_usd
    dtype: float64
  - name: total_input_tokens
    dtype: int64
  - name: total_output_cost_usd
    dtype: float64
  - name: total_output_tokens
    dtype: int64
  splits:
  - name: train
    num_bytes: 53913836
    num_examples: 6000
  - name: validation
    num_bytes: 13826027
    num_examples: 1500
  - name: test
    num_bytes: 40518966
    num_examples: 5000
  download_size: 49581032
  dataset_size: 108258829
- config_name: openai--gpt-oss-20b_medium
  features:
  - name: formatted_prompt
    dtype: string
  - name: generated_solutions
    list:
    - name: input_cost_usd_once
      dtype: float64
    - name: input_tokens
      dtype: int64
    - name: output_cost_usd
      dtype: float64
    - name: output_tokens
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    - name: rollout_cost_usd
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    - name: score
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    - name: text
      dtype: string
  - name: ground_truth
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  - name: input_cost_usd_once
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  - name: k
    dtype: int64
  - name: majority_vote_extracted_answer
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  - name: majority_vote_is_correct
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  - name: max_len
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  - name: model_name
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  - name: pass_at_k
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  - name: problem
    dtype: string
  - name: problem_id
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  - name: rating
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  - name: split
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  - name: success_rate
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  - name: task
    dtype: string
  - name: temperature
    dtype: float64
  - name: total_cost_usd
    dtype: float64
  - name: total_input_tokens
    dtype: int64
  - name: total_output_cost_usd
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  - name: total_output_tokens
    dtype: int64
  splits:
  - name: train
    num_bytes: 178021514
    num_examples: 6000
  - name: validation
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    num_examples: 1500
  - name: test
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    num_examples: 5000
  download_size: 165556771
  dataset_size: 345983892
configs:
- config_name: Qwen--Qwen2.5-Math-1.5B-Instruct
  data_files:
  - split: train
    path: Qwen--Qwen2.5-Math-1.5B-Instruct/train-*
  - split: validation
    path: Qwen--Qwen2.5-Math-1.5B-Instruct/validation-*
  - split: test
    path: Qwen--Qwen2.5-Math-1.5B-Instruct/test-*
- config_name: Qwen--Qwen2.5-Math-7B-Instruct
  data_files:
  - split: train
    path: Qwen--Qwen2.5-Math-7B-Instruct/train-*
  - split: validation
    path: Qwen--Qwen2.5-Math-7B-Instruct/validation-*
  - split: test
    path: Qwen--Qwen2.5-Math-7B-Instruct/test-*
- config_name: deepseek-ai--DeepSeek-R1-Distill-Qwen-7B
  data_files:
  - split: train
    path: deepseek-ai--DeepSeek-R1-Distill-Qwen-7B/train-*
  - split: validation
    path: deepseek-ai--DeepSeek-R1-Distill-Qwen-7B/validation-*
  - split: test
    path: deepseek-ai--DeepSeek-R1-Distill-Qwen-7B/test-*
- config_name: openai--gpt-oss-20b_high
  data_files:
  - split: train
    path: openai--gpt-oss-20b_high/train-*
  - split: validation
    path: openai--gpt-oss-20b_high/validation-*
  - split: test
    path: openai--gpt-oss-20b_high/test-*
- config_name: openai--gpt-oss-20b_low
  data_files:
  - split: train
    path: openai--gpt-oss-20b_low/train-*
  - split: validation
    path: openai--gpt-oss-20b_low/validation-*
  - split: test
    path: openai--gpt-oss-20b_low/test-*
- config_name: openai--gpt-oss-20b_medium
  data_files:
  - split: train
    path: openai--gpt-oss-20b_medium/train-*
  - split: validation
    path: openai--gpt-oss-20b_medium/validation-*
  - split: test
    path: openai--gpt-oss-20b_medium/test-*
---
# Generations Dataset: MATH

LLM-generated solutions across train/validation/test splits for multiple models.

## Columns

| Column | Type | Description |
|--------|------|-------------|
| `problem` | str | Problem statement |
| `generated_solutions` | list | Generated solutions with scores |
| `success_rate` | float | Fraction of correct generations |
| `majority_vote_is_correct` | int (0/1) | Whether majority vote is correct |
| `k` | int | Number of samples generated |
| `temperature` | float | Sampling temperature |
| `max_len` | int | Maximum generation length |
| `model_name` | str | Model used for generation |

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("CoffeeGitta/difficulty-MATH-generations", name="<org--model>")
train = dataset["train"]
```

## Citation

```bibtex
@article{lugoloobi_llms_2026,
    title = {LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations},
    url = {http://arxiv.org/abs/2602.09924},
    author = {Lugoloobi, William and Foster, Thomas and Bankes, William and Russell, Chris},
    year = {2026},
}
```