Update dataset card with correct schema

README.md

@@ -10,17 +10,40 @@ 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: 230643487
-    num_examples: 67976
+    num_examples: 53131
 ---
 
 # FineWiki Sampled Dataset (100,000,000 tokens)
 
-This is a sampled subset of [HuggingFaceFW/finewiki](https://huggingface.co/datasets/HuggingFaceFW/finewiki) containing approximately **100,000,047 tokens**.
+This is a sampled subset of [HuggingFaceFW/finewiki](https://huggingface.co/datasets/HuggingFaceFW/finewiki) containing approximately **100,000,000 tokens**.
 
 ## Dataset Details
 
@@ -28,14 +51,11 @@ This is a sampled subset of [HuggingFaceFW/finewiki](https://huggingface.co/data
 - **Original Dataset**: HuggingFaceFW/finewiki (English subset, train split)
 - **Sampling Method**: Reservoir sampling (unbiased random sampling)
 - **Target Token Count**: 100,000,000 tokens
-- **Actual Token Count**: 100,000,047 tokens
 - **Tokenizer**: GPT-2 (50,257 vocabulary)
 
 ### Sampling Statistics
-- **Documents Sampled**: 67,976
-- **Documents Processed**: 67,976
-- **Tokens Processed**: 100,000,047
-- **Sampling Rate**: 1.0000
+- **Documents Sampled**: 53,131
+- **Average Tokens/Doc**: 1882.2
 - **Random Seed**: 42
 
 ### Sampling Method
@@ -49,10 +69,8 @@ This dataset was created using **reservoir sampling**, which ensures:
 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 until target token count
-4. For each new document, replaces reservoir items with probability k/n
-   - k = reservoir size, n = total documents seen
-5. Guarantees uniform random sample across entire dataset
+3. Maintains a reservoir of documents using standard reservoir sampling
+4. Stops when target token count is reached
 
 ## Usage
 
@@ -65,13 +83,28 @@ dataset = load_dataset("codelion/finewiki-100M")
 # Access the training data
 for example in dataset['train']:
     print(example['text'])
+    print(example['title'])
+    print(example['url'])
 ```
 
 ## Dataset Structure
 
-Each example contains:
-- `text`: The Wikipedia article text
-- `url`: Source Wikipedia URL
+Each example contains all fields from the original FineWiki dataset:
+
+- **text** (string): The Wikipedia article text (primary content)
+- **id** (string): Unique identifier
+- **wikiname** (string): Wikipedia source name
+- **page_id** (int64): Wikipedia page ID
+- **title** (string): Article title
+- **url** (string): Source Wikipedia URL
+- **date_modified** (string): Last modification date
+- **in_language** (string): Language code (always 'en' for this subset)
+- **wikidata_id** (string): Wikidata identifier
+- **bytes_html** (int64): Size of HTML content
+- **wikitext** (string): Original wikitext markup
+- **version** (int64): Article version number
+- **infoboxes** (string): Extracted infobox data
+- **has_math** (bool): Whether article contains mathematical formulas
 
 ## Use Cases
 
@@ -83,17 +116,7 @@ This sampled dataset is ideal for:
 
 ## Citation
 
-If you use this dataset, please cite both the original FineWiki dataset and mention the sampling methodology:
-
-```bibtex
-@dataset{finewiki_sampled_100000000,
-  title={FineWiki Sampled Dataset (100,000,000 tokens)},
-  author={CodeLion},
-  year={2025},
-  howpublished={\url{codelion/finewiki-100M}},
-  note={Sampled from HuggingFaceFW/finewiki using reservoir sampling}
-}
-```
+If you use this dataset, please cite both the original FineWiki dataset and mention the sampling methodology.
 
 ## License