CoolFace
Datasetpublic

Svngoku/bongo-bernard-de-grunne-tefaf-2011

bongo-bernard-de-grunne-tefaf-2011 Dataset created with PDF2Dataset -- OCR + structure-aware chunking pipeline. Dataset Summary Metric Value Total chunks 49 Avg chars/chunk 753 Avg images/chunk 1.27 Source files 1 Duplicates removed 0 Quality filtered 0 Schema Column Type Description chunk_id string Unique identifier: filename_chunk_N text string Raw markdown chunk with image refs text_clean string Cleaned… See the full description on the dataset page: https://huggingface.co/datasets/Svngoku/bongo-bernard-de-grunne-tefaf-2011.

sourceHugging Facemitupdated 3mo agoView on Hugging Face
0likes6downloads
Dataset Card

bongo-bernard-de-grunne-tefaf-2011

Dataset created with PDF2Dataset -- OCR + structure-aware chunking pipeline.

Dataset Summary

MetricValue
Total chunks49
Avg chars/chunk753
Avg images/chunk1.27
Source files1
Duplicates removed0
Quality filtered0

Schema

ColumnTypeDescription
chunk_idstringUnique identifier: filename_chunk_N
textstringRaw markdown chunk with image refs
text_cleanstringCleaned text without markdown formatting
chapterstringH1 header active at chunk position
sectionstringH2 header active at chunk position
subsectionstringH3+ header active at chunk position
imageslist[Image]Rendered images extracted from chunk (viewable in Dataset Viewer)
image_refslist[string]Image reference IDs in chunk text
num_imagesintNumber of images in chunk
has_imagesboolWhether chunk contains images
source_filenamestringOriginal source file name
start_indexintCharacter offset in source document
char_countintCharacter count of chunk text

Source Files

FileChunks
bongo-bernard-de-grunne-tefaf-2011.pdf49

Document Structure

Chapters found in the source documents:

  • —13
  • —Bongo Funerary Post
  • —Bongo Funerary post, Bussere Style
  • —Bongo Monumental Statuary from Southern Sudan: the Ur-style of African statuary.
  • —Morokodu Funerary post
  • —Publications by Bernard de Grunne
  • —The Duponcheel Bongo Expedition

Pipeline

This dataset was processed through the PDF2Dataset pipeline:

  1. 1.OCR -- Mistral OCR extracts text and images from PDF/image files
  2. 2.Chunking -- Structure-aware recursive splitting preserves document hierarchy
  3. 3.Validation -- Schema validation ensures every chunk has required fields
  4. 4.Deduplication -- Content-hash based dedup removes identical chunks
  5. 5.Quality Filtering -- Removes empty, too-short, or malformed chunks