image imagewidth (px) 1.41k 1.78k | path stringlengths 60 60 | markdown stringlengths 1.56k 4.79k | inference_info stringclasses 1
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./harvardscan1984image/Screenshot 2026-03-26 at 09.53.08.png | <table class="table table-bordered"><thead><tr><th rowspan="2"></th><th colspan="5">JUNE 1984 (PRELIMINARY) 1/</th></tr><tr><th>MFRS. OF PIG IRON AND RAW STEEL & CASTINGS 2/</th><th>MFRS. OF STEEL CASTINGS 3/</th><th>IRON FOUNDRIES AND MISCELLANEOUS USERS</th><th>TOTAL FOR MONTH OF JUN 1984</th><th>REVISED TOTAL FO... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.53.16.png | <table class="table table-bordered"><thead><tr><th rowspan="2">ITEM</th><th colspan="2">RECEIPTS OF SCRAP</th><th colspan="4">PRODUCTION OF HOME SCRAP</th></tr><tr><th>FROM BROKERS, DEALERS AND OTHER OUTSIDE SOURCES</th><th>FROM OTHER OWN COMPANY PLANTS</th><th>RECIRCULATING SCRAP RESULTING FROM CURRENT OPERATIONS</th>... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.53.25.png | <table class="table table-bordered"><thead><tr><th rowspan="2">ITEM</th><th colspan="2">RECEIPTS OF SCRAP</th><th colspan="4">PRODUCTION OF HOME SCRAP</th></tr><tr><th>FROM BROKERS, DEALERS AND OTHER OUTSIDE SOURCES</th><th>FROM OTHER OWN COMPANY PLANTS</th><th>RECIRCULATING SCRAP RESULTING FROM CURRENT OPERATIONS</th>... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.53.30.png | <table class="table table-bordered"><thead><tr><th rowspan="2">ITEM</th><th colspan="2">RECEIPTS OF SCRAP</th><th colspan="4">PRODUCTION OF HOME SCRAP</th></tr><tr><th>FROM BROKERS, DEALERS AND OTHER OUTSIDE SOURCES</th><th>FROM OTHER OWN COMPANY PLANTS</th><th>RECIRCULATING OBSOLETE SCRAP (INCLUDES INGOT MOLDS, STOOLS... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.53.36.png | <table class="table table-bordered"><thead><tr><th rowspan="3">TYPE OF FURNACE OR OTHER USE</th><th colspan="2">MANUFACTURERS OF PIG IRON AND RAW STEEL AND CASTINGS 1/</th><th colspan="2">MANUFACTURERS OF STEEL CASTINGS 2/</th><th colspan="2">IRON FOUNDRIES AND MISCELLANEOUS USERS</th><th colspan="2">TOTAL ALL TYPES</t... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.53.45.png | <table class="table table-bordered"><thead><tr><th rowspan="2">ITEM</th><th colspan="2">RECEIPTS OF SCRAP</th><th colspan="5">PRODUCTION OF HOME SCRAP</th></tr><tr><th>FROM BROKERS, DEALERS AND OTHER OUTSIDE SOURCES</th><th>FROM OTHER OWN COMPANY PLANTS</th><th>RECIRCULATING SCRAP RESULTING FROM CURRENT OPERATIONS</th>... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.53.50.png | <table class="table table-bordered"><thead><tr><th rowspan="2">ITEM</th><th colspan="2">RECEIPTS OF SCRAP</th><th colspan="2">PRODUCTION OF HOME SCRAP</th><th colspan="2">CONSUMPTION OF BOTH PURCHASED AND HOME SCRAP (INCLUDES RE-CIRCULATING SCRAP)</th><th>SHIPMENTS OF SCRAP</th><th>ENDING STOCKS</th></tr><tr><th>FROM B... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.53.56.png | <table class="table table-bordered"><thead><tr><th rowspan="2">ITEM</th><th colspan="2">RECEIPTS OF SCRAP</th><th colspan="5">PRODUCTION OF HOME SCRAP</th></tr><tr><th>FROM BROKERS, DEALERS AND OTHER OUTSIDE SOURCES</th><th>FROM OTHER OWN COMPANY PLANTS</th><th>RECIRCULATING SCRAP RESULTING FROM CURRENT OPERATIONS</th>... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.54.00.png | <table class="table table-bordered"><thead><tr><th rowspan="3">TYPE OF FURNACE OR OTHER USE</th><th colspan="2">MANUFACTURERS OF PIG IRON AND RAW STEEL AND CASTINGS 1/</th><th colspan="2">MANUFACTURERS OF STEEL CASTINGS 2/</th><th colspan="2">IRON FOUNDRIES AND MISCELLANEOUS USERS</th><th colspan="2">TOTAL ALL TYPES</t... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.54.13.png | <table class="table table-bordered"><thead><tr><th rowspan="2">Country</th><th colspan="2">June 1984</th><th colspan="2">Year to date</th></tr><tr><th>Short tons</th><th>Value</th><th>Short tons</th><th>Value</th></tr></thead><tbody><tr><td>Canada</td><td>59,460</td><td>$6,155,135</td><td>371,443</td><td>$29,003,634</t... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] | |
./harvardscan1984image/Screenshot 2026-03-26 at 09.54.23.png | <table class="table table-bordered"><thead><tr><th rowspan="2">Grade of Scrap</th><th colspan="2">June 1984</th><th colspan="2">Year to date</th></tr><tr><th>Short tons</th><th>Value</th><th>Short tons</th><th>Value</th></tr></thead><tbody><tr><td>No. 1 heavy melting steel scrap</td><td>263,377</td><td>$23,974,855</td>... | [{"model_id": "zai-org/GLM-OCR", "model_name": "GLM-OCR", "column_name": "markdown", "timestamp": "2026-04-02T18:55:45.329669", "task": "table", "temperature": 0.01, "top_p": 1e-05, "repetition_penalty": 1.1, "max_tokens": 8192}] |
Document OCR using GLM-OCR
This dataset contains OCR results from images in yhan86/harvardscan1984image using GLM-OCR, a compact 0.9B OCR model achieving SOTA performance.
Processing Details
- Source Dataset: yhan86/harvardscan1984image
- Model: zai-org/GLM-OCR
- Task: table recognition
- Number of Samples: 11
- Processing Time: 2.1 min
- Processing Date: 2026-04-02 18:56 UTC
Configuration
- Image Column:
image - Output Column:
markdown - Dataset Split:
train - Batch Size: 16
- Max Model Length: 8,192 tokens
- Max Output Tokens: 8,192
- Temperature: 0.01
- Top P: 1e-05
- GPU Memory Utilization: 80.0%
Model Information
GLM-OCR is a compact, high-performance OCR model:
- 0.9B parameters
- 94.62% on OmniDocBench V1.5
- CogViT visual encoder + GLM-0.5B language decoder
- Multi-Token Prediction (MTP) loss for efficiency
- Multilingual: zh, en, fr, es, ru, de, ja, ko
- MIT licensed
Dataset Structure
The dataset contains all original columns plus:
markdown: The extracted text in markdown formatinference_info: JSON list tracking all OCR models applied to this dataset
Reproduction
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/glm-ocr-v2.py \
yhan86/harvardscan1984image \
<output-dataset> \
--image-column image \
--batch-size 16 \
--task table
Generated with UV Scripts (glm-ocr-v2.py)
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