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README.md

@@ -1,22 +1,45 @@
----
-license: mit
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: text
-    dtype: string
-  - name: source
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 21764959
-    num_examples: 57405
-  download_size: 10953408
-  dataset_size: 21764959
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+language:
+- en
+pretty_name: "legora-kb"
+tags:
+- quickb
+- text-chunking
+- 10K<n<100K
+task_categories:
+- text-generation
+- text-retrieval
+task_ids:
+- document-retrieval 
+library_name: quickb
+---
+
+# legora-kb
+
+Generated using [QuicKB](https://github.com/AdamLucek/quickb), a tool developed by [Adam Lucek](https://huggingface.co/AdamLucek).
+
+QuicKB optimizes document retrieval by creating fine-tuned knowledge bases through an end-to-end pipeline that handles document chunking, training data generation, and embedding model optimization.
+
+### Chunking Configuration
+- **Chunker**: RecursiveTokenChunker
+- **Parameters**:
+  - **chunk_size**: `400`
+  - **chunk_overlap**: `0`
+  - **length_type**: `'character'`
+  - **separators**: `['\n\n', '\n', '.', '?', '!', ' ', '']`
+  - **keep_separator**: `True`
+  - **is_separator_regex**: `False`
+
+### Dataset Statistics
+- Total chunks: 57,405
+- Average chunk size: 52.6 words
+- Source files: 604
+
+
+
+### Dataset Structure
+This dataset contains the following fields:
+
+- `text`: The content of each text chunk
+- `source`: The source file path for the chunk
+- `id`: Unique identifier for each chunk