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README.md

@@ -1,75 +1,68 @@
----
-configs:
-- config_name: default
-  data_files:
-  - split: full
-    path: data/full-*
-  - split: train
-    path: data/train-*
-  - split: test
-    path: data/test-*
-  - split: easy
-    path: data/easy-*
-  - split: medium
-    path: data/medium-*
-  - split: hard
-    path: data/hard-*
-  - split: early_problems
-    path: data/early_problems-*
-  - split: later_problems
-    path: data/later_problems-*
-  - split: sample
-    path: data/sample-*
-dataset_info:
-  features:
-  - name: id
-    dtype: int32
-  - name: title
-    dtype: string
-  - name: problem
-    dtype: string
-  - name: question_latex
-    dtype: string
-  - name: question_html
-    dtype: string
-  - name: numerical_answer
-    dtype: string
-  - name: pub_date
-    dtype: string
-  - name: solved_by
-    dtype: string
-  - name: diff_rate
-    dtype: string
-  - name: difficulty
-    dtype: string
-  splits:
-  - name: full
-    num_bytes: 2322335.230603448
-    num_examples: 918
-  - name: train
-    num_bytes: 1856856.2737068965
-    num_examples: 734
-  - name: test
-    num_bytes: 465478.9568965517
-    num_examples: 184
-  - name: easy
-    num_bytes: 700748.2122844828
-    num_examples: 277
-  - name: medium
-    num_bytes: 850005.051724138
-    num_examples: 336
-  - name: hard
-    num_bytes: 771581.9665948276
-    num_examples: 305
-  - name: early_problems
-    num_bytes: 1173816.5
-    num_examples: 464
-  - name: later_problems
-    num_bytes: 1148518.7306034483
-    num_examples: 454
-  - name: sample
-    num_bytes: 126488.84698275862
-    num_examples: 50
-  download_size: 5161799
-  dataset_size: 9415829.769396551
----
+# Project Euler Problems Dataset
+
+A comprehensive collection of mathematical and programming challenges from Project Euler (projecteuler.net), organized for machine learning and educational purposes.
+
+## Dataset Description
+
+This dataset contains 918 problems from Project Euler, a series of challenging mathematical/computer programming problems that require creative problem-solving approaches.
+
+### Features
+
+- **id**: Problem number (integer)
+- **title**: Problem title
+- **problem**: Plain text version of the problem statement
+- **question_latex**: LaTeX formatted problem statement
+- **question_html**: HTML formatted problem statement
+- **numerical_answer**: The correct numerical answer
+- **pub_date**: Publication date
+- **solved_by**: Number of people who have solved the problem
+- **diff_rate**: Difficulty rating (percentage of users who solved it)
+
+## Splits
+
+The dataset provides several splits for different use cases:
+
+- **train/test**: Standard 80/10/10 split for machine learning
+  - train: 734 problems
+  - test: 184 problems
+- **easy/medium/hard**: Problems grouped by difficulty level
+  - easy: 277 problems (>25% solve rate)
+  - medium: 336 problems (5-25% solve rate)
+  - hard: 305 problems (≤5% solve rate)
+- **early_problems/later_problems**: First half vs. second half of problems by ID
+  - early_problems: 464 problems
+  - later_problems: 454 problems
+- **sample**: A random selection of 50 problems for quick experimentation
+
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the entire dataset with all splits
+dataset = load_dataset("your-username/project-euler-problems")
+
+# Work with specific splits
+train_problems = dataset["train"]
+hard_problems = dataset["hard"]
+sample_problems = dataset["sample"]
+
+# Example: Get a problem
+problem = train_problems[0]
+print(f"Problem #{problem["id"]}: {problem["title"]}")
+print(problem["problem"])
+print(f"Answer: {problem["numerical_answer"]}")
+```
+
+## Potential Applications
+
+- Training math problem-solving models
+- Generating solutions or solution approaches
+- Testing reasoning capabilities of language models
+- Educational tools for learning algorithmic thinking
+
+## Citation & License
+
+This dataset is provided for research and educational purposes.
+Project Euler problems are from projecteuler.net.