Update dataset card with sampling details

README.md

@@ -1,43 +1,94 @@
 ---
+language:
+- en
+license: apache-2.0
+tags:
+- wikipedia
+- finewiki
+- sampled
 dataset_info:
   features:
   - name: text
     dtype: string
-  - name: id
-    dtype: string
-  - name: wikiname
-    dtype: string
-  - name: page_id
-    dtype: int64
-  - name: title
-    dtype: string
   - name: url
     dtype: string
-  - name: date_modified
-    dtype: string
-  - name: in_language
-    dtype: string
-  - name: wikidata_id
-    dtype: string
-  - name: bytes_html
-    dtype: int64
-  - name: wikitext
-    dtype: string
-  - name: version
-    dtype: int64
-  - name: infoboxes
-    dtype: string
-  - name: has_math
-    dtype: bool
   splits:
   - name: train
-    num_bytes: 4011051116
     num_examples: 52721
-  download_size: 1590895337
-  dataset_size: 4011051116
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
 ---
+
+# FineWiki Sampled Dataset (1B tokens)
+
+This is a sampled subset of [HuggingFaceFW/finewiki](https://huggingface.co/datasets/HuggingFaceFW/finewiki) containing approximately **1,000,000,332 tokens**.
+
+## Dataset Details
+
+### Source
+- **Original Dataset**: HuggingFaceFW/finewiki (English subset, train split)
+- **Sampling Method**: Reservoir sampling (unbiased random sampling)
+- **Target Token Count**: 1,000,000,000 tokens
+- **Actual Token Count**: 1,000,000,332 tokens
+- **Tokenizer**: GPT-2 (50,257 vocabulary)
+
+### Sampling Statistics
+- **Documents Sampled**: 52,721
+- **Average Tokens/Doc**: 18967.8
+- **Random Seed**: 42
+- **Reservoir Size**: 500,000 documents (max)
+
+### Sampling Method
+
+This dataset was created using **reservoir sampling**, which ensures:
+- ✅ Unbiased random sample from the full dataset
+- ✅ Every document has equal probability of being selected
+- ✅ No distribution bias (early/late documents equally represented)
+- ✅ Streaming-based (no need to download full dataset)
+
+The sampling algorithm:
+1. Streams through HuggingFaceFW/finewiki without downloading
+2. Uses GPT-2 tokenizer to count tokens per document
+3. Maintains a reservoir of documents using standard reservoir sampling
+4. Truncates to target token count when complete
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("codelion/finewiki-1B")
+
+# Access the training data
+for example in dataset['train']:
+    print(example['text'])
+```
+
+## Dataset Structure
+
+Each example contains:
+- `text`: The Wikipedia article text
+- `url`: Source Wikipedia URL
+
+## Use Cases
+
+This sampled dataset is ideal for:
+- 🔬 Small-scale language model pretraining experiments
+- 📊 Dataset composition studies
+- ⚡ Quick prototyping and testing
+- 💰 Low-cost training runs
+
+## Citation
+
+If you use this dataset, please cite both the original FineWiki dataset and mention the sampling methodology.
+
+## License
+
+Apache 2.0 (same as original FineWiki dataset)
+
+## Dataset Card Authors
+
+CodeLion
+
+## Dataset Card Contact
+
+For questions or issues, please open an issue on the dataset repository.