Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,36 @@
+# 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},
+}
+```