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image
raw_queries
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broad_topical_query
string
broad_topical_explanation
string
specific_detail_query
string
specific_detail_explanation
string
visual_element_query
string
visual_element_explanation
string
parsed_into_json
bool
text
string
pp_ocr_blocks
string
inference_info
string
[ "{\n \"broad_topical_query\": \"UFO FlyBys in Middle Tennessee\",\n \"broad_topical_explanation\": \"This query targets the main subject of the document, which is the reported UFO sightings in Middle Tennessee.\",\n \"specific_detail_query\": \"David Copperfield special\",\n \"specific_detail_explanation\": \"T...
UFO FlyBys in Middle Tennessee
This query targets the main subject of the document, which is the reported UFO sightings in Middle Tennessee.
David Copperfield special
This query focuses on a specific detail mentioned in the document, which is the David Copperfield special that the author and her husband were watching.
Image of a man and woman
This query references the visual element in the document, which is the image of a man and woman sitting on the porch.
true
paeuuX -g :8O ≤661 *9z -50 - ML *aIaqreN OUT OF THIS WORLD UFO FIyBys in Middle TenneSSee BY JOYSA M. WINTER *aNOS TTTIARSVN aVere Pisut is well aware that some people out tbere think sbe is crazy, If they're right—if she really has hooped the loop, so to speak—she at least ésops people think she's nuts, Her story is ...
[{"text": "paeuuX -g :8O ≤661 *9z -50 - ML *aIaqreN", "score": 0.6225032806396484, "bbox": [[21.0, 67.0], [32.0, 67.0], [32.0, 270.0], [21.0, 270.0]]}, {"text": "OUT OF THIS", "score": 0.9262144565582275, "bbox": [[122.0, 62.0], [470.0, 59.0], [471.0, 133.0], [122.0, 136.0]]}, {"text": "WORLD", "score": 0.9346278905868...
[{"model_id": "PaddlePaddle/PP-OCRv6_tiny", "det_model": "PP-OCRv6_tiny_det", "rec_model": "PP-OCRv6_tiny_rec", "tier": "tiny", "params": "1.5M (0.4M det + 1.1M rec)", "rec_accuracy_pct": 73.5, "languages": "49 languages (en, zh only \u2014 no ja)", "engine": "paddle_static", "output_column": "text", "blocks_column": "...
[ "{\n \"broad_topical_query\": \"Snake with legs and feet reported in Africa\",\n \"broad_topical_explanation\": \"This query focuses on the main subject of the document, which is the report of a snake with legs and feet found in Africa.\",\n \"specific_detail_query\": \"Snake with legs and feet reported in Afric...
Snake with legs and feet reported in Africa
This query focuses on the main subject of the document, which is the report of a snake with legs and feet found in Africa.
Snake with legs and feet reported in Africa, 1899
This query is more specific, focusing on the date and location mentioned in the document.
Document page with text
This query refers to the visual element of the document page, which includes the text content and layout.
true
A Waco Snake. 2 Waco Telephone: J.w.Boynton brought to the Telephone yesterday af- ternoon what was a genuine curiosity and the existence of which has been denied by some [people.lt was noth- fng more nor less .than a snake with legs.The snake which was a emall one, not more than sixteen inches long, was what is known ...
[{"text": "A Waco Snake.", "score": 0.972491979598999, "bbox": [[143.0, 35.0], [279.0, 36.0], [279.0, 53.0], [143.0, 52.0]]}, {"text": "2", "score": 0.19358506798744202, "bbox": [[282.0, 27.0], [288.0, 27.0], [288.0, 36.0], [282.0, 36.0]]}, {"text": "Waco Telephone:", "score": 0.9470352530479431, "bbox": [[72.0, 57.0],...
[{"model_id": "PaddlePaddle/PP-OCRv6_tiny", "det_model": "PP-OCRv6_tiny_det", "rec_model": "PP-OCRv6_tiny_rec", "tier": "tiny", "params": "1.5M (0.4M det + 1.1M rec)", "rec_accuracy_pct": 73.5, "languages": "49 languages (en, zh only \u2014 no ja)", "engine": "paddle_static", "output_column": "text", "blocks_column": "...
[ "{\n \"broad_topical_query\": \"Document about Mount Clemens, Michigan\",\n \"broad_topical_explanation\": \"This query is effective because it covers the main subject of the document, which is the investigation of a UFO sighting in Mount Clemens, Michigan.\",\n \"specific_detail_query\": \"Document mentioning D...
Document about Mount Clemens, Michigan
This query is effective because it covers the main subject of the document, which is the investigation of a UFO sighting in Mount Clemens, Michigan.
Document mentioning Dr. Hynek and the OVNI
This query is effective because it focuses on a specific detail from the document, which is the involvement of Dr. Hynek in the investigation of the OVNI.
Document with a picture of Paris 67a
This query is effective because it references a visual element in the document, which is the picture of Paris 67a, and can help in retrieving the document.
true
Mount Clemens, Michigan. muy cerca delago St. Clairydela Base Ae. reade Self- nidge Comoalas 14:30 ob- Ampliación de la maqueta ubilizada servaron por los hermanos Jaroslaw Donald y Grant un objeto suspendi- interés de pubicidad persorsal. El mismo Dr Jaroslaw do sobre el Hynek investigó el caso y declaró: "No tengo la...
[{"text": "Mount", "score": 0.9008687734603882, "bbox": [[167.0, 30.0], [218.0, 33.0], [218.0, 47.0], [166.0, 44.0]]}, {"text": "Clemens,", "score": 0.9714668393135071, "bbox": [[167.0, 42.0], [216.0, 45.0], [216.0, 57.0], [167.0, 54.0]]}, {"text": "Michigan.", "score": 0.977733314037323, "bbox": [[166.0, 53.0], [216.0...
[{"model_id": "PaddlePaddle/PP-OCRv6_tiny", "det_model": "PP-OCRv6_tiny_det", "rec_model": "PP-OCRv6_tiny_rec", "tier": "tiny", "params": "1.5M (0.4M det + 1.1M rec)", "rec_accuracy_pct": 73.5, "languages": "49 languages (en, zh only \u2014 no ja)", "engine": "paddle_static", "output_column": "text", "blocks_column": "...

OCR with PP-OCRv6 TINY

Plain-text OCR results for images from davanstrien/ufo-ColPali, produced by PaddlePaddle's PP-OCRv6 tiny pipeline (1.5M (0.4M det + 1.1M rec)).

Processing details

  • Source: davanstrien/ufo-ColPali
  • Model: PP-OCRv6_tiny (PP-OCRv6_tiny_det + PP-OCRv6_tiny_rec)
  • Tier: tiny (1.5M (0.4M det + 1.1M rec))
  • Recognition accuracy: 73.5%
  • Languages: 49 languages (en, zh only — no ja)
  • Engine: paddle_static
  • Samples: 3
  • Processing time: 0.41 min
  • Processing date: 2026-06-23 10:19 UTC
  • License: Apache 2.0 (models)

Schema

Each row contains the original columns plus:

  • text: Plain text extracted from the image (reading-order concatenation of detected text lines, newline-separated).
  • pp_ocr_blocks: JSON list, one dict per detected text line:
    [
      {
        "text": "recognized text",
        "score": 0.987,
        "bbox": [[x1, y1], [x2, y2], [x3, y3], [x4, y4]]
      }
    ]
    
    score is the recognition confidence and bbox is the detection polygon (4-point quadrilateral in input-image pixel coordinates).
  • inference_info: JSON list tracking every model applied to this dataset.

Note: PP-OCRv6 is a classical detection+recognition pipeline, not a VLM. It outputs plain text rather than markdown. Per-line bounding boxes and confidence scores are available in pp_ocr_blocks.

Usage

import json
from datasets import load_dataset

ds = load_dataset("{output_dataset_id}", split="train")
print(ds[0]["text"])
for block in json.loads(ds[0]["pp_ocr_blocks"]):
    print(block["text"], block["score"])

Reproduction

hf jobs uv run --flavor t4-small -s HF_TOKEN \
    https://huggingface.co/datasets/uv-scripts/ocr/raw/main/pp-ocrv6.py \
    davanstrien/ufo-ColPali <output> --model-tier tiny

Generated with UV Scripts.

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