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doc_id string | filename string | text string | annotations_json string |
|---|---|---|---|
000a96cb-51cc-4c86-bcca-0404adc12506 | W4PD502_I4PD4110_620619_google_books | "ཚུལ ས འལ ད པ བ ཟ བ ༩མEEY Pཝགླི\nགསུང༢༠་སྒོ་(...TRUNCATED) | "{\n \"doc_id\": \"000a96cb-51cc-4c86-bcca-0404adc12506\",\n \"filename\": \"W4PD502_I4PD4110_6206(...TRUNCATED) |
0025ea9f-0d15-4a34-ab42-417d2c4c975f | IE3CN2232_VE5CN935_1_tei | "དོན་བརྒྱུད་དཔལ་ལྡན་འབྲུག་པའི་ཆོས་(...TRUNCATED) | "{\n \"doc_id\": \"0025ea9f-0d15-4a34-ab42-417d2c4c975f\",\n \"filename\": \"IE3CN2232_VE5CN935_1_(...TRUNCATED) |
00288ed2-301c-4625-afdb-faa18a3457bd | W3CN5823_I3CN5825_c2d3c6_google_books | "ཐར་ལམ་གསལ་སྒྲོན།\n༄༅། །རྒྱལ་པོ་མདོ་(...TRUNCATED) | "{\n \"doc_id\": \"00288ed2-301c-4625-afdb-faa18a3457bd\",\n \"filename\": \"W3CN5823_I3CN5825_c2d(...TRUNCATED) |
003e4a8d-5faf-4b45-9dbb-22a58a8331dc | W3CN3412_I3CN4486_769bfd_google_books | "Uhrih.\n༄༅། །སྐྱེད་ཚལ་བ་འཇམ་དབྱངས་ཀུན་ད(...TRUNCATED) | "{\n \"doc_id\": \"003e4a8d-5faf-4b45-9dbb-22a58a8331dc\",\n \"filename\": \"W3CN3412_I3CN4486_769(...TRUNCATED) |
00528050-e9c6-4c90-8323-9a6e21386b8c | W4PD1455_I4PD1457_944147_ocrv1-ws-ldv1 | "ཨཱརྱ་ཡུ་པརྫྫ་པྲ་རྨཱདམོ་ཥྱ་མ་སྥུ་ཏ(...TRUNCATED) | "{\n \"doc_id\": \"00528050-e9c6-4c90-8323-9a6e21386b8c\",\n \"filename\": \"W4PD1455_I4PD1457_944(...TRUNCATED) |
008e4fa8-4e65-41be-bbaa-0e292c31557b | W1PD133161_I4PD2803_86fa6a_google_books | "མདོ་སྔགས་\n屈\nFL\nཐེག་ཆེན་གཡུང་དྲུང་བོ(...TRUNCATED) | "{\n \"doc_id\": \"008e4fa8-4e65-41be-bbaa-0e292c31557b\",\n \"filename\": \"W1PD133161_I4PD2803_8(...TRUNCATED) |
00ad3b10-7a8f-4e0b-960d-ed140145cd2d | W8LS66274_I8LS66276_556189_google_books | "\n\n\n\nད་ཀྱིདབེ་ཚོད་ཁང་།\n!1.2 1Jo. ཇི\\ཉ\n100. No. 27964\(...TRUNCATED) | "{\n \"doc_id\": \"00ad3b10-7a8f-4e0b-960d-ed140145cd2d\",\n \"filename\": \"W8LS66274_I8LS66276_5(...TRUNCATED) |
00af2464-2613-47ac-aa1e-dcab2397b3c9 | IE5CN17_VE5CN641_1_tei | "༄༅། །ཨ བྷ ིས མ ཡཱ ལ ངྐཱ ར ནཱ མ པྲ ཛྙཱ པཱ ར (...TRUNCATED) | "{\n \"doc_id\": \"00af2464-2613-47ac-aa1e-dcab2397b3c9\",\n \"filename\": \"IE5CN17_VE5CN641_1_te(...TRUNCATED) |
00b3dd17-c7fc-407d-be62-e109fdec0f11 | IE2KG209991_VE1ER1016_1_tei | "༄༅། །སྒོམ་སྡེ་ཚིག་མཛོད་ཆེན་མོ།\nརྩོ(...TRUNCATED) | "{\n \"doc_id\": \"00b3dd17-c7fc-407d-be62-e109fdec0f11\",\n \"filename\": \"IE2KG209991_VE1ER1016(...TRUNCATED) |
00baf5c3-542c-4c4f-be25-1cbc11370e5d | W1KG5151_I1KG5168_be0e19_ocrv1-ws-ldv1 | "དོནཀྱི།བྷོ་པྲྀཨུ་སྐ་གྱུ་ན།ས\n\n\n\nཔ\n।(...TRUNCATED) | "{\n \"doc_id\": \"00baf5c3-542c-4c4f-be25-1cbc11370e5d\",\n \"filename\": \"W1KG5151_I1KG5168_be0(...TRUNCATED) |
End of preview.
Tibetan Metadata Extracted Documents
Raw BDRC outliner exports used to build ganga4364/tibetan-metadata-detector.
Contents
3,794 approved documents with annotated title/author spans. Each row:
| Field | Description |
|---|---|
doc_id |
Document UUID |
filename |
Source filename |
text |
Full document text (UTF-8) |
annotations_json |
JSON with segments and flat annotations (title/author spans) |
Related repos
- Window splits + model training data: ganga4364/tibetan-metadata-detector
- Fine-tuned model: ganga4364/tibetan-metadata-roberta-ner
- Demo: ganga4364/tibetan-metadata-highlight
Usage
from datasets import load_dataset
ds = load_dataset("ganga4364/tibetan-metadata-extracted")
doc = ds["train"][0]
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