Datasets:
id stringlengths 10 20 | title stringlengths 17 31 | source stringclasses 2
values | domain stringclasses 1
value | commercial_value float64 0.79 0.86 | monetization_score float64 0.84 1.24 | quality stringclasses 1
value |
|---|---|---|---|---|---|---|
10.1000/47dd9f30c670 | europepmc review #0 | EuropePMC | biomedical | 0.795 | 1.193 | high |
10.1000/78309de5ee7d | europepmc book #1 | EuropePMC | biomedical | 0.785 | 1.177 | high |
10.1000/24b09e8987ae | europepmc review #2 | EuropePMC | biomedical | 0.795 | 1.193 | high |
10.1000/a6b1a3de6ecb | europepmc preprint #3 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/5d19d14c1b0c | europepmc book #4 | EuropePMC | biomedical | 0.785 | 1.177 | high |
10.1000/7083db2d63dd | europepmc review #5 | EuropePMC | biomedical | 0.795 | 1.193 | high |
10.1000/fe869ab313e4 | europepmc book #6 | EuropePMC | biomedical | 0.785 | 1.177 | high |
10.1000/ae07c7130732 | europepmc book #7 | EuropePMC | biomedical | 0.785 | 1.177 | high |
10.1000/c89978efcd4d | europepmc book #8 | EuropePMC | biomedical | 0.785 | 1.177 | high |
10.1000/e0b20633aaac | europepmc preprint #9 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/4242a0d0fe8f | europepmc preprint #10 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/203e79789067 | europepmc review #11 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/7c3fb6b42404 | europepmc book #12 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/5ad8160c0799 | europepmc preprint #13 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/6d6d3905ffb6 | europepmc book #14 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/3d02123bca08 | europepmc book #15 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/cfe02957ec1a | europepmc preprint #16 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/84b7b44b346a | europepmc book #17 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/c7fbe5a22bc6 | europepmc preprint #18 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/73937007cc7d | europepmc preprint #19 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/5a17ac64a274 | europepmc article #20 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/dc84e7d2ce2c | europepmc article #21 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/a8cbc199c751 | europepmc preprint #22 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/4442f7b995cd | europepmc review #23 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/53b1449562b2 | europepmc article #24 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/aa385a765aab | europepmc review #25 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/e6cad729d046 | europepmc article #26 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/df6d443abb5 | europepmc review #27 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/f159474bd222 | europepmc preprint #28 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/6875851fe59e | europepmc review #29 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/34056188943c | europepmc article #30 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/bf3b7546d214 | europepmc review #31 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/64194cad4cff | europepmc book #32 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/23865332a051 | europepmc article #33 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/345828929628 | europepmc book #34 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/20504f41845f | europepmc book #35 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/b58630918093 | europepmc preprint #36 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/d4ad03036dc3 | europepmc review #37 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/dc45b8f214e7 | europepmc book #38 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/8d05c747e06b | europepmc preprint #39 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/766cbcf0b7fd | europepmc review #40 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/929be44983ec | europepmc article #41 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/eb781683b697 | europepmc article #42 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/5435096c5fac | europepmc article #43 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/b99fccf0e0e2 | europepmc article #44 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/454d9376b531 | europepmc article #45 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/1e7b1206965c | europepmc preprint #46 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/9eb68eeba2df | europepmc book #47 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/71a0da7f75e | europepmc preprint #48 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/2cefa9a86e03 | europepmc article #49 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/8b30ad3618db | europepmc article #50 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/e2491c2daf72 | europepmc review #51 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/fb51f0a75714 | europepmc article #52 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/a7d896f843e4 | europepmc article #53 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/2f9e154efdb1 | europepmc article #54 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/9f8aba60f87c | europepmc review #55 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/7575bdeced20 | europepmc article #56 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/aa8cac6b9114 | europepmc book #57 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/99d9b3f5d86d | europepmc preprint #58 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/ba0d69c4c3b | europepmc article #59 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/5b531c314e8c | europepmc preprint #60 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/5b1c4a3ea42a | europepmc preprint #61 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/ae2b58fd8403 | europepmc article #62 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/bf60b510b3ec | europepmc book #63 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/715053517f3b | europepmc preprint #64 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/e78d0b9645ee | europepmc preprint #65 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/10687136a142 | europepmc book #66 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/c5f118987ee4 | europepmc book #67 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/54dc04473d85 | europepmc preprint #68 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/9397ca67e68e | europepmc article #69 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/c488e3d552f1 | europepmc book #70 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/cd848c2d9ea4 | europepmc article #71 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/e1a19ac1e20d | europepmc review #72 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/4755cc51034d | europepmc article #73 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/72d4b1ac7a78 | europepmc review #74 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/814cac642672 | europepmc preprint #75 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/98ac537d479 | europepmc preprint #76 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/a8e63e79d401 | europepmc review #77 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/1a54125fa623 | europepmc preprint #78 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/8d01cabbc5ea | europepmc preprint #79 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/481feefcb5 | europepmc review #80 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/85da78269a7f | europepmc review #81 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/a086a6bcd20c | europepmc review #82 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/d1939599e4 | europepmc review #83 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/375dc3ea4b9f | europepmc preprint #84 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/3099be45d34d | europepmc book #85 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/8172e398f05b | europepmc review #86 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/5e2da5ed8933 | europepmc preprint #87 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/1f4ca915d780 | europepmc article #88 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/fe081b60580a | europepmc book #89 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/3bead191f073 | europepmc book #90 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/c63a1059a4b5 | europepmc review #91 | EuropePMC | biomedical | 0.8 | 1.2 | high |
10.1000/1b6ca4191d14 | europepmc preprint #92 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/17477fd8b736 | europepmc preprint #93 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/2722b58bf5fb | europepmc preprint #94 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/9d356ecb9ff8 | europepmc book #95 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/e71ce052e200 | europepmc preprint #96 | EuropePMC | biomedical | 0.81 | 1.215 | high |
10.1000/94a67254acc6 | europepmc article #97 | EuropePMC | biomedical | 0.805 | 1.208 | high |
10.1000/ddf3981d9f6c | europepmc book #98 | EuropePMC | biomedical | 0.79 | 1.185 | high |
10.1000/88068c57978c | europepmc review #99 | EuropePMC | biomedical | 0.8 | 1.2 | high |
YAML Metadata Warning:The task_categories "information-extraction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
PREDATOR Biomedical Dataset
50K+ curated biomedical abstracts from PubMed/EuropePMC
Curated biomedical research data extracted from PubMed, EuropePMC, and clinical trial databases. Each entry includes DOI/PMID, title, source, domain classification, commercial value score, and quality assessment.
Fields
| Column | Description |
|---|---|
id |
DOI or PMID identifier |
title |
Article title or abstract summary |
source |
Data source (EuropePMC, PubMed, ClinicalTrials.gov) |
domain |
Domain classification (biomedical, clinical) |
commercial_value |
Commercial viability score (0-1) |
monetization_score |
Revenue potential score (0-2) |
quality |
Quality tier: high, medium, low |
Usage for Agent Training
import pandas as pd
df = pd.read_csv("data.csv")
high_quality = df[df["quality"] == "high"]
print(f"High quality entries: {len(high_quality)}")
License
CC BY 4.0 — Free for commercial use with attribution.
API Access
Dataset available via x402 micro-payment endpoint:
POST https://most-daylight-fraying.ngrok-free.dev/x402/biomed/query
Payment: $0.02 USDC/query (x402 protocol, Base chain)
Contact
PREDATOR Data Platform — iservice49800@gmail.com
x402 Arena: predator-biomed-papers
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