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152b97efe07a2d46a3144b8d759fcb1ae71d7ae4
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xf0f0702539d88e8f5496570a7ffc02d1536bffa53b1285883437d45ae919f1e7
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet less than 500 times Feb 28 - March 7? | Event: elon-musk-of-tweets-feb-28-mar-7 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 55-56°F on March 6? | Event: highest-temperature-in-london-on-march-6 | Choice: no | Confidence: 1.0 3....
no
1
elon-musk-of-tweets-mar-7-14
Will Elon tweet 800 or more times March 7-14?
69,051,771
69,051,771
71160b573a37afcd9036a13419759837e187c397
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x6ac948c4800476dd1657a6e2d091b1ae69bda902fceefda27b465dc3faa55e9c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 55-56°F on March 6? | Event: highest-temperature-in-london-on-march-6 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 51-52°F on March 5? | Event: highest-temperature-in-nyc-on-march-5 | Choice: no | ...
no
1
highest-temperature-in-nyc-on-march-13
Will the highest temperature in NYC be between 43-44°F on March 13?
69,051,775
69,051,775
c8e6436c96d857690de027bf2b9f95cc3692bd10
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x22dcf28506895a90c5bbe71105db9ebc41dc72e14f6812f94c33fccc57c6164c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 51-52°F on March 5? | Event: highest-temperature-in-nyc-on-march-5 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 61-62°F on March 5? | Event: highest-temperature-in-london-on-march-5 | Choice: no | ...
no
1
highest-temperature-in-nyc-on-march-14
Will the highest temperature in NYC be between 49-50°F on March 14?
69,091,743
69,091,743
3b52fcc40408d37356af275b65a8b63ddd83f506
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xa2a36ff2a1fe9dd8624b84dd7671c7fbf2d766df1b7915654bb0e570551c3bdc
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 61-62°F on March 5? | Event: highest-temperature-in-london-on-march-5 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 63-64°F on March 6? | Event: highest-temperature-in-london-on-march-6 | Choice:...
no
1
trump-approval-rating-on-march-14
Will Trump's approval rating be less than 47.0% on March 14?
69,130,226
69,130,226
cb523d785771a7839997ce144e6008bb6c0d3cb3
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xdea067ab3f71c2eed35ad7e7945dbbccd020e61e98f3d97a6e7c499389906732
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 63-64°F on March 6? | Event: highest-temperature-in-london-on-march-6 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 63°F or higher on March 7? | Event: highest-temperature-in-london-on-march-7 | Choice: ...
no
1
highest-temperature-in-nyc-on-march-15
Will the highest temperature in NYC be between 46-47°F on March 15?
69,130,230
69,130,230
7e245bc4208a25c20945eedf81ea1bad210c1c4b
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x2333153e4aedb3d1a08a4df9cd0e03780ecbe341516757e0509eef19fc29731e
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 63°F or higher on March 7? | Event: highest-temperature-in-london-on-march-7 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 44-45°F on March 7? | Event: highest-temperature-in-nyc-on-march-7 | Choice: no | C...
no
1
highest-temperature-in-nyc-on-march-16
Will the highest temperature in NYC be 54°F or below on March 16?
69,130,238
69,130,238
d4de7c3c9b7b9de7d1a1715ac872030ae2b84afa
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xcef71c86ab1be38dc58d9e742f8d3b028d5b0ec1f5ef41398f185faa39f6e312
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 44-45°F on March 7? | Event: highest-temperature-in-nyc-on-march-7 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 59°F or higher on March 6? | Event: highest-temperature-in-nyc-on-march-6 | Choice: no | Confide...
no
1
highest-temperature-in-nyc-on-march-15
Will the highest temperature in NYC be 56°F or higher on March 15?
69,130,238
69,130,238
6bbc9b96f8ecc6c1b14f0a57f6a3c15c99e2f27c
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xf6963f696e3f3ac1c6217a12191fd6df1637b72913e490300ac74c4eec17b143
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 59°F or higher on March 6? | Event: highest-temperature-in-nyc-on-march-6 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 57-58°F on March 6? | Event: highest-temperature-in-nyc-on-march-6 | Choice: no | Confide...
no
1
highest-temperature-in-london-on-march-15
Will the highest temperature in London be between 51-52°F on March 15?
69,130,592
69,130,592
71407d64af4752f7382e1aacfd44b2a3b8112572
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x0db9fbb7744df3883aa75e1301839e58b3fc8c685fcac21c489736979aa68e57
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 57-58°F on March 6? | Event: highest-temperature-in-nyc-on-march-6 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 65°F or higher on March 6? | Event: highest-temperature-in-london-on-march-6 | Choice: no | C...
no
1
highest-temperature-in-nyc-on-march-16
Will the highest temperature in NYC be between 55-56°F on March 16?
69,130,595
69,130,595
2863ed20d9f90ac43397f9db9f371d2644316b58
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x426a12ec7af734eb6c5b46f98b7f3f2e983f160966cc2e47426bf6e6e9e2c0c7
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 65°F or higher on March 6? | Event: highest-temperature-in-london-on-march-6 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 59-60°F on March 8? | Event: highest-temperature-in-london-on-march-8 | Choice: ...
no
1
highest-temperature-in-london-on-march-15
Will the highest temperature in London be 53°F or higher on March 15?
69,130,595
69,130,595
9f590147bb5d55977f20f8d9d5a20c98fe61133d
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xb9b1a546658f8fe2805a14dde4ae88cfac5696e5b25885466127eef24458b64b
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 59-60°F on March 8? | Event: highest-temperature-in-london-on-march-8 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 41-42°F on March 8? | Event: highest-temperature-in-nyc-on-march-8 | Choice: no | ...
no
1
highest-temperature-in-london-on-march-16
Will the highest temperature in London be 54°F or higher on March 16?
69,176,162
69,176,162
61fe8f98a86bf86aff2b2952ed305616bfa74f5d
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x94249999a08cb9eee68ce47fb471f6d1df77c00da602f7e7b9b0f874eb042237
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 41-42°F on March 8? | Event: highest-temperature-in-nyc-on-march-8 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 54°F or higher on March 7? | Event: highest-temperature-in-nyc-on-march-7 | Choice: no | Confide...
no
1
highest-temperature-in-nyc-on-march-17
Will the highest temperature in NYC be between 52-53°F on March 17?
69,176,165
69,176,165
52a256ee02ab5836d3b6cb69f544ecf8283351d3
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xd73fa458870620d759ad7961102f5d4ad4b823eb9c1c41c962d9ba9689a5f069
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 54°F or higher on March 7? | Event: highest-temperature-in-nyc-on-march-7 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 52-53°F on March 7? | Event: highest-temperature-in-nyc-on-march-7 | Choice: no | Confide...
no
1
highest-temperature-in-nyc-on-march-18
Will the highest temperature in NYC be between 53-54°F on March 18?
69,216,184
69,216,184
d925d96930457f3f32bfda664bc5705237046b09
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xbc29c807e4fc09dac7b44633dd4d47b977dad25ee1f56da7015ee93f1646bf70
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 52-53°F on March 7? | Event: highest-temperature-in-nyc-on-march-7 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 67°F or higher on March 8? | Event: highest-temperature-in-london-on-march-8 | Choice: no | C...
no
1
highest-temperature-in-london-on-march-18
Will the highest temperature in London be 44°F or below on March 18?
69,216,193
69,216,193
1fcbb942a786aea8a33a5f4ab1116b97b97397f8
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xc5af22e14ce2066a288ef5bc6c2a782bd7a4ec5b410a87b3aea02fd3dc8cfe48
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 67°F or higher on March 8? | Event: highest-temperature-in-london-on-march-8 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 53°F or below on March 10? | Event: highest-temperature-in-london-on-march-10 | Choice: ...
no
1
opus-opening-weekend-box-office
Will 'Opus' gross between 3-5m on opening weekend?
69,216,196
69,216,196
3bc1ae10433f0da32e214a0be99848d4714c2ce9
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x6966b5e6dd9f7bc0c0938e1de8c7a7d4cd409cdf78694d05d470441696c3d523
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 53°F or below on March 10? | Event: highest-temperature-in-london-on-march-10 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 44°F or below on March 9? | Event: highest-temperature-in-nyc-on-march-9 | Choice: no | Co...
no
1
highest-temperature-in-nyc-on-march-18
Will the highest temperature in NYC be 63°F or higher on March 18?
69,253,352
69,253,352
20b53d2ef4198e081dbbbc7219c9ff249bc983ff
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x3426ee6eded9e2c8561aee472c848e7125d9a25dcdf7059b30a47014db6c5411
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 44°F or below on March 9? | Event: highest-temperature-in-nyc-on-march-9 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 56-57°F on March 10? | Event: highest-temperature-in-nyc-on-march-10 | Choice: no | Confid...
no
1
highest-temperature-in-london-on-march-19
Will the highest temperature in London be between 57-58°F on March 19?
69,253,354
69,253,354
6558e7c4459a2e00f1e39050d7a6fb23b8436e95
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xffb5f215709c547ef98b2c9d740367293baad8ccdf59dab71bd480b18fb49254
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 56-57°F on March 10? | Event: highest-temperature-in-nyc-on-march-10 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 55°F or higher on March 9? | Event: highest-temperature-in-nyc-on-march-9 | Choice: no | Confi...
no
1
what-will-be-the-top-global-netflix-show-this-week
Will another show be the top global Netflix show this week?
69,253,357
69,253,367
882a25c4898d17e7bb10910767094f61c6c55589
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x5f78526ca413315b5cb5d1a7d96db55501ea8501d3db1b0e2251cc72a70c8df9
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 55°F or higher on March 9? | Event: highest-temperature-in-nyc-on-march-9 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 47-48°F on March 9? | Event: highest-temperature-in-nyc-on-march-9 | Choice: no | Confide...
no
1
highest-temperature-in-london-on-march-18
Will the highest temperature in London be 55°F or higher on March 18?
69,253,363
69,253,363
46a14dc4ab708ba3284df305ca6ede529a79dd9c
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x44b57e4b9fd3c7e8fcf5eb13bda62f227cedb47a4f0c0904815503a74f051d50
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 47-48°F on March 9? | Event: highest-temperature-in-nyc-on-march-9 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 68°F or higher on March 9? | Event: highest-temperature-in-london-on-march-9 | Choice: no | C...
no
1
highest-temperature-in-nyc-on-march-19
Will the highest temperature in NYC be 65°F or higher on March 19?
69,293,364
69,293,364
47565dbeb39ee728c85371f6275c6d8c0962ea98
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xbdcf81b24f47c905daa915cb43238ba5c9e06f49ca2fb0a7ab2b770f9905a69e
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 68°F or higher on March 9? | Event: highest-temperature-in-london-on-march-9 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 62-63°F on March 10? | Event: highest-temperature-in-london-on-march-10 | Choice...
no
1
highest-temperature-in-nyc-on-march-19
Will the highest temperature in NYC be between 55-56°F on March 19?
69,293,366
69,293,366
3eb1b8616defa4eeb9a83104358b3bcbb2293c94
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x8cbf2a54d820a1e0ab2ea7ca88388a02e802e375ffc683826a06a42f5b5851f8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 62-63°F on March 10? | Event: highest-temperature-in-london-on-march-10 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 57-58°F on March 11? | Event: highest-temperature-in-nyc-on-march-11 | Choice: n...
no
1
highest-temperature-in-london-on-march-20
Will the highest temperature in London be between 62-63°F on March 20?
69,293,394
69,293,394
386bb162ffb332d12423f8f9e42ae3559d2523f7
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xeed6da09683149b433aeb802bd8d3f78a6b6d8799fa75bd0d73c3f87c6b2b592
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 57-58°F on March 11? | Event: highest-temperature-in-nyc-on-march-11 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 52°F or higher on March 11? | Event: highest-temperature-in-london-on-march-11 | Choice: no...
no
1
fed-decision-in-march
Fed decreases interest rates by 25 bps after March 2025 meeting?
69,293,397
69,293,397
6e66c9f311e1b8dda00ec952661f87f4b113bf0f
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xae80aa388eb643c5d0f825be9a7cca918180aa59fcf44c69f696fd21a4ed7c91
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 52°F or higher on March 11? | Event: highest-temperature-in-london-on-march-11 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 67°F or higher on March 11? | Event: highest-temperature-in-nyc-on-march-11 | Choice: no ...
no
1
highest-temperature-in-london-on-march-19
Will the highest temperature in London be between 65-66°F on March 19?
69,293,401
69,293,401
92f0ff21195d37943380835fa53128f4197be145
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xfc6d5fef77e7b8e888eb7c315acbf1f597bc3b89075ea05ea2483ebc81eafdcf
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 67°F or higher on March 11? | Event: highest-temperature-in-nyc-on-march-11 | Choice: no | Confidence: 1.0 2. Question: Will the CDU/CSU win 30-35% of the vote in the German election? | Event: cducsu-of-vote-in-german-election | Choice: yes | Confidence:...
no
1
highest-temperature-in-nyc-on-march-20
Will the highest temperature in NYC be between 46-47°F on March 20?
69,293,410
69,293,410
72788036b87d6a9973dc3f7bd1cfc389ec190d08
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x8c680303a517580286b39f54c8c00aced80f7dd3ee16a84527c756ad14618eed
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the CDU/CSU win 30-35% of the vote in the German election? | Event: cducsu-of-vote-in-german-election | Choice: yes | Confidence: 1.0 2. Question: Will Elon tweet 550-574 times March 7-14? | Event: elon-musk-of-tweets-mar-7-14 | Choice: no | Confidence: 1.0 3. Question: Will the price of...
yes
1
uefa-nations-league-croatia-vs-france
Will France beat Croatia?
69,333,681
69,333,681
08f332b60872b952d5cf7fd78c7210d9394667cb
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xdca2cf61f40b858ca4e9cf68bb11f033ab0a9d7329569f8ba178b5ea7ba94f78
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 550-574 times March 7-14? | Event: elon-musk-of-tweets-mar-7-14 | Choice: no | Confidence: 1.0 2. Question: Will the price of Bitcoin be between $85000 and $87000 on Mar 14? | Event: bitcoin-price-on-march-14 | Choice: no | Confidence: 1.0 3. Question: Will the price of Bitcoi...
no
1
highest-temperature-in-london-on-march-20
Will the highest temperature in London be between 70-71°F on March 20?
69,333,683
69,333,683
025427815af3fce7873967833c3cfc0489fc75ac
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x07aa588746d3906539d4240fb33a05fd06898139538f8348bc473ec723bdb812
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the price of Bitcoin be between $85000 and $87000 on Mar 14? | Event: bitcoin-price-on-march-14 | Choice: no | Confidence: 1.0 2. Question: Will the price of Bitcoin be between $89000 and $91000 on Mar 14? | Event: bitcoin-price-on-march-14 | Choice: no | Confidence: 1.0 3. Question: Wil...
no
1
bitcoin-price-on-march-21
Will the price of Bitcoin be between $79000 and $81000 on Mar 21?
69,333,688
69,333,688
9f42efd3ca337a941012981edab6b2cf73671ad4
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xae3452e4f3161bced9ade93367c5934a805b7af418f241933affc993fc88dc5a
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the price of Bitcoin be between $89000 and $91000 on Mar 14? | Event: bitcoin-price-on-march-14 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 53°F or higher on March 13? | Event: highest-temperature-in-nyc-on-march-13 | Choice: no | Confidence: 1.0 3....
no
1
elon-musk-of-tweets-mar-14-21
Will Elon tweet 675-699 times March 14-21?
69,333,691
69,333,691
3d8eb6e41c7df633cf0f7c1fe7393962e8ee82e1
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x72594ec4f1686e8113a11f5812d7cc7198ea3af86e3bdced9e56d1593237edc7
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 53°F or higher on March 13? | Event: highest-temperature-in-nyc-on-march-13 | Choice: no | Confidence: 1.0 2. Question: Will Elon tweet 800 or more times March 7-14? | Event: elon-musk-of-tweets-mar-7-14 | Choice: no | Confidence: 1.0 3. Question: Will t...
no
1
donald-trump-of-truth-social-posts-mar-14-21
Will Trump post 100-119 times March 14-21?
69,333,694
69,333,694
9fa855e772b6f87ae5323dbfec1392a97e49b552
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x24bfd146dc3cf164839311f05ecdc8e7e61ff7f7b0b5d8f39607f656c8684fb4
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 800 or more times March 7-14? | Event: elon-musk-of-tweets-mar-7-14 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 43-44°F on March 13? | Event: highest-temperature-in-nyc-on-march-13 | Choice: no | Confidence: 1.0 3. Question: Will ...
no
1
donald-trump-of-truth-social-posts-mar-14-21
Will Trump post 180-199 times March 14-21?
69,333,697
69,333,697
aabe977cf1f8fc1bad3955448b5b33b46042d320
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x42c46dd7bafd2449229183f648935edaeeef671fbb2ad527441e2621fd70f4d6
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 43-44°F on March 13? | Event: highest-temperature-in-nyc-on-march-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 49-50°F on March 14? | Event: highest-temperature-in-nyc-on-march-14 | Choice: no | Co...
no
1
elon-musk-of-tweets-mar-14-21
Will Elon tweet 625-649 times March 14-21?
69,333,700
69,333,700
774a7989dbd147df599261f0167f275682a47117
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x22abe473b88941723dee5b34be80e62dd0bbd90c40e3a415b5ab59175aa46561
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 49-50°F on March 14? | Event: highest-temperature-in-nyc-on-march-14 | Choice: no | Confidence: 1.0 2. Question: Will Trump's approval rating be less than 47.0% on March 14? | Event: trump-approval-rating-on-march-14 | Choice: no | Confidence: 1....
no
1
bitcoin-price-on-march-21
Will the price of Bitcoin be greater than $87000 on Mar 21?
69,333,705
69,333,705
2c76bea6a1629449ef24591f8a8593480c9e49c9
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x5073f74333fc68e1e1cafacd3a81d3dbb33a00a08af0667fa254d4bcc9c4c405
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Trump's approval rating be less than 47.0% on March 14? | Event: trump-approval-rating-on-march-14 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 46-47°F on March 15? | Event: highest-temperature-in-nyc-on-march-15 | Choice: no | Confidence: 1....
no
1
elon-musk-of-tweets-mar-14-21
Will Elon tweet less than 400 times March 14-21?
69,333,707
69,333,707
c6de6c83a90ddf0b0f9c919c0df48dbe2818cf8f
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x2c0c678db3a6b7f933e4a79ca294abba6f9f4c238051ee6cb9ee5e0937142509
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 46-47°F on March 15? | Event: highest-temperature-in-nyc-on-march-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 54°F or below on March 16? | Event: highest-temperature-in-nyc-on-march-16 | Choice: no | Conf...
no
1
highest-temperature-in-london-on-march-20
Will the highest temperature in London be 72°F or higher on March 20?
69,333,709
69,333,709
0faea6b422dc8e2ba5a14993e7aa0375e8ac8f4e
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x5a5d6ba40396fa5d775e30047f0a48bcdc013365f0bae8fa70a4aec838f8ca24
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 54°F or below on March 16? | Event: highest-temperature-in-nyc-on-march-16 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 56°F or higher on March 15? | Event: highest-temperature-in-nyc-on-march-15 | Choice: no | Confi...
no
1
bitcoin-price-on-march-21
Will the price of Bitcoin be less than $77000 on Mar 21?
69,333,711
69,333,711
255a21050a1ef3a6b970d2d41eef34856d883019
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xe2140cc8b48146e3c7e306284611d013b31dfdcad9dc479b98a19f367c6c6e68
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 56°F or higher on March 15? | Event: highest-temperature-in-nyc-on-march-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 51-52°F on March 15? | Event: highest-temperature-in-london-on-march-15 | Choice: no...
no
1
highest-temperature-in-nyc-on-march-22
Will the highest temperature in NYC be between 62-63°F on March 22?
69,412,658
69,412,658
8c3537f8cad5a10da267ab940621f73680449f57
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xf8a7d27e36f183150c32928a21b918f0b0677ac45d0d4569dd23b23b3d5caff5
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 51-52°F on March 15? | Event: highest-temperature-in-london-on-march-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 55-56°F on March 16? | Event: highest-temperature-in-nyc-on-march-16 | Choice: n...
no
1
highest-temperature-in-nyc-on-march-21
Will the highest temperature in NYC be between 54-55°F on March 21?
69,412,666
69,412,666
ad17b1300edbfdfb4b1dd77b8385791f7a575f3a
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x6e7c2fda84fbce6691e5bdc05ea2e367b6cdc2e8d00ba0ba21de53b3f6bf09e5
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 55-56°F on March 16? | Event: highest-temperature-in-nyc-on-march-16 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 53°F or higher on March 15? | Event: highest-temperature-in-london-on-march-15 | Choice: no...
no
1
highest-temperature-in-london-on-march-21
Will the highest temperature in London be between 66-67°F on March 21?
69,412,673
69,412,673
c4058c2b102c6541069f750dceacb827be56d33d
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x5c464b379d9b0440f1f0d376cdcdec7da42b04cd478db5ab37065df29b676dfa
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 53°F or higher on March 15? | Event: highest-temperature-in-london-on-march-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 54°F or higher on March 16? | Event: highest-temperature-in-london-on-march-16 | Choic...
no
1
highest-temperature-in-london-on-march-22
Will the highest temperature in London be between 55-56°F on March 22?
69,412,762
69,412,762
9992d0515cbbf0c429e00d0ac66a13db06a32c70
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xceda55624aa969eb29b6e4db393fa604de3e74c0a308bf004e50c34dc90948e9
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 54°F or higher on March 16? | Event: highest-temperature-in-london-on-march-16 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 52-53°F on March 17? | Event: highest-temperature-in-nyc-on-march-17 | Choice: no...
no
1
highest-temperature-in-london-on-march-22
Will the highest temperature in London be between 63-64°F on March 22?
69,412,764
69,412,764
b5b89e6eb7f83c171bba2eb0d6750e074b7bbcb0
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xab217b36a677f8ab0946c065aae0a38e8def52a2b47bd0b9906367e48eee3870
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 52-53°F on March 17? | Event: highest-temperature-in-nyc-on-march-17 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 53-54°F on March 18? | Event: highest-temperature-in-nyc-on-march-18 | Choice: no | Co...
no
1
highest-temperature-in-nyc-on-march-21
Will the highest temperature in NYC be 56°F or higher on March 21?
69,412,773
69,412,773
ae0683f228cfc4e3d35cb8c21e8d55fe8b8d436d
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x595626acb5254b8850559119d2ddadfeb375414425047c19b6e1e5316266c73d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 53-54°F on March 18? | Event: highest-temperature-in-nyc-on-march-18 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 44°F or below on March 18? | Event: highest-temperature-in-london-on-march-18 | Choice: no ...
no
1
highest-temperature-in-london-on-march-21
Will the highest temperature in London be 68°F or higher on March 21?
69,412,775
69,412,775
50daadb0f3ca1c6bf5187bc304bc615ec4050cd0
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xfa74c650c2db0c75ed3affaada5b8b5dbd5afa70e6a1eea13976ac89618584e4
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 44°F or below on March 18? | Event: highest-temperature-in-london-on-march-18 | Choice: no | Confidence: 1.0 2. Question: Will 'Opus' gross between 3-5m on opening weekend? | Event: opus-opening-weekend-box-office | Choice: no | Confidence: 1.0 3. Que...
no
1
highest-temperature-in-nyc-on-march-22
Will the highest temperature in NYC be between 64-65°F on March 22?
69,412,782
69,412,782
137f0e3ef699edb574af6cfd72059ddc48a14aa9
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x964f1a5d93f672c35bf1ad1c7121fab5ab88d1b104d73b0dc7634e2939a219dc
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will 'Opus' gross between 3-5m on opening weekend? | Event: opus-opening-weekend-box-office | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 63°F or higher on March 18? | Event: highest-temperature-in-nyc-on-march-18 | Choice: no | Confidence: 1.0 3. Question...
no
1
highest-temperature-in-nyc-on-march-22
Will the highest temperature in NYC be 55°F or below on March 22?
69,412,784
69,412,784
0568b6ed7fcf3a2557505561ad00a0adc5586840
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x8158613e158529e706c76cebd5409de90bccd6e2203a73754e87041bb5b75017
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 63°F or higher on March 18? | Event: highest-temperature-in-nyc-on-march-18 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 57-58°F on March 19? | Event: highest-temperature-in-london-on-march-19 | Choice: no...
no
1
china-grand-prix-sprint-winner
Will Max Verstappen win the 2025 Chinese Grand Prix Sprint?
69,412,787
69,412,787
80eeb3b0aad7e7c79bac49cd715b72d47981a736
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xbae1ba3fdf9565d69508e9bc284c900b54c97a88f6a87099c357e6ab4f675b06
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 57-58°F on March 19? | Event: highest-temperature-in-london-on-march-19 | Choice: no | Confidence: 1.0 2. Question: Will another show be the top global Netflix show this week? | Event: what-will-be-the-top-global-netflix-show-this-week | Choic...
no
1
highest-temperature-in-nyc-on-march-22
Will the highest temperature in NYC be 66°F or higher on March 22?
69,412,791
69,412,791
e17a169e23dcefe9ef52e65a150d99b6e11ce799
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xe35b2efeaaab402c47f04a877fe3fe21ebe8892162bda338dc94ee98c30bcc70
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will another show be the top global Netflix show this week? | Event: what-will-be-the-top-global-netflix-show-this-week | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 55°F or higher on March 18? | Event: highest-temperature-in-london-on-march-18 | Choice...
no
1
highest-temperature-in-london-on-march-24
Will the highest temperature in London be between 51-52°F on March 24?
69,455,440
69,455,440
b25b269aac30b053eeb92fb652b8e6e4c1e388e5
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x70f284e43db94dec422c92b0f37c2b21ab65d4c89237fc07517d05a9e38a7d3f
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 55°F or higher on March 18? | Event: highest-temperature-in-london-on-march-18 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 65°F or higher on March 19? | Event: highest-temperature-in-nyc-on-march-19 | Choice: no ...
no
1
highest-temperature-in-nyc-on-march-24
Will the highest temperature in NYC be between 53-54°F on March 24?
69,493,332
69,493,332
7b88bd9ed7b2a8d9a2c3707def280a8c09f391bf
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xa54ca772623487a8ec89d8e367c4eff7d86ea89aa5a0443cc514e37143660056
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 65°F or higher on March 19? | Event: highest-temperature-in-nyc-on-march-19 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 55-56°F on March 19? | Event: highest-temperature-in-nyc-on-march-19 | Choice: no | Con...
yes
1
magazine-dreams-opening-weekend-box-office
Will 'Magazine Dreams' gross less than 1m on opening weekend?
69,493,336
69,493,336
54be57bcd24de0cda269921b337d9bea6b3dbec8
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x1681bbaf627e560159aa4c5352981bc65989d9ebad38c0ee8239bb75ea2ae704
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 55-56°F on March 19? | Event: highest-temperature-in-nyc-on-march-19 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 62-63°F on March 20? | Event: highest-temperature-in-london-on-march-20 | Choice: n...
no
1
highest-temperature-in-london-on-march-25
Will the highest temperature in London be between 52-53°F on March 25?
69,493,337
69,493,337
2cad1f4cef66f0768d5514905b4108f635985f99
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x6fddfaeac2cf13959b63408593f707bb1c55f6600b734e51d1ac23d82f3df356
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 62-63°F on March 20? | Event: highest-temperature-in-london-on-march-20 | Choice: no | Confidence: 1.0 2. Question: Fed decreases interest rates by 25 bps after March 2025 meeting? | Event: fed-decision-in-march | Choice: no | Confidence: 1.0 ...
no
1
highest-temperature-in-nyc-on-march-24
Will the highest temperature in NYC be between 47-48°F on March 24?
69,493,339
69,493,339
662754a13038448251139366c039f4619355b357
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x8d2fa23965dc6b4556fb2c0f27c8d042293dc41e1438cd1c79e654d562cd8ee8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Fed decreases interest rates by 25 bps after March 2025 meeting? | Event: fed-decision-in-march | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 65-66°F on March 19? | Event: highest-temperature-in-london-on-march-19 | Choice: no | Confidence: 1.0 ...
no
1
snow-white-opening-weekend-box-office
Will 'Snow White' gross between 44-49m on opening weekend?
69,493,342
69,493,342
0397ef18c8f00135b63136281f2ee11b9b433fae
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x76da4d82e3b320dbe6e9a3dbded22cd70637f3adc7cc0ba37c55addc9d91dff8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 65-66°F on March 19? | Event: highest-temperature-in-london-on-march-19 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 46-47°F on March 20? | Event: highest-temperature-in-nyc-on-march-20 | Choice: n...
no
1
highest-temperature-in-nyc-on-march-24
Will the highest temperature in NYC be between 49-50°F on March 24?
69,493,346
69,493,346
95ca540ed68158663f1b3da95c18a8b92a5f86d2
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xff5cbfc242c080baa8a4508735cad513e84f0a7e84a88fb5a76dfba72c9a004c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 46-47°F on March 20? | Event: highest-temperature-in-nyc-on-march-20 | Choice: no | Confidence: 1.0 2. Question: Will France beat Croatia? | Event: uefa-nations-league-croatia-vs-france | Choice: yes | Confidence: 1.0 3. Question: Will the highes...
no
1
highest-temperature-in-nyc-on-march-25
Will the highest temperature in NYC be between 49-50°F on March 25?
69,493,346
69,493,346
df890a46dabdcc2754cc378916248949bbcb4d19
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xe5cae18cd71f7760770e841b7afdf42f27afda079daa7cf768786de5698fff1c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will France beat Croatia? | Event: uefa-nations-league-croatia-vs-france | Choice: yes | Confidence: 1.0 2. Question: Will the highest temperature in London be between 70-71°F on March 20? | Event: highest-temperature-in-london-on-march-20 | Choice: no | Confidence: 1.0 3. Question: Will the ...
no
1
highest-temperature-in-london-on-march-24
Will the highest temperature in London be 61°F or higher on March 24?
69,493,349
69,493,349
34729e8290321b4c5ec3356fa5eec2c6a0f5a7b3
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x07dcd94fe6481a8bcf124f69980d7a25fe7bef308d227366530c4e5b1e084cd8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 70-71°F on March 20? | Event: highest-temperature-in-london-on-march-20 | Choice: no | Confidence: 1.0 2. Question: Will the price of Bitcoin be between $79000 and $81000 on Mar 21? | Event: bitcoin-price-on-march-21 | Choice: no | Confidence:...
no
1
snow-white-opening-weekend-box-office
Will 'Snow White' gross more than 49m on opening weekend?
69,493,351
69,493,351
e691a7843f9ee65218dc07d4f42768ed6fe9da5d
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xfdaa20471a7aa24b33e20e0330f907afef5ba98187a110d2287632da1f1a47a8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the price of Bitcoin be between $79000 and $81000 on Mar 21? | Event: bitcoin-price-on-march-21 | Choice: no | Confidence: 1.0 2. Question: Will Elon tweet 675-699 times March 14-21? | Event: elon-musk-of-tweets-mar-14-21 | Choice: no | Confidence: 1.0 3. Question: Will Trump post 100-11...
yes
1
snow-white-opening-weekend-box-office
Will 'Snow White' gross between 39-44m on opening weekend?
69,493,358
69,493,358
28574f4bf24fe989fd4232a371195a52edb6997a
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x4efd83e998d98f6d19c3f598931a9b733e725e0c803bb3d368a974453e6ee827
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 675-699 times March 14-21? | Event: elon-musk-of-tweets-mar-14-21 | Choice: no | Confidence: 1.0 2. Question: Will Trump post 100-119 times March 14-21? | Event: donald-trump-of-truth-social-posts-mar-14-21 | Choice: no | Confidence: 1.0 3. Question: Will Trump post 180-199 ti...
no
1
highest-temperature-in-nyc-on-march-25
Will the highest temperature in NYC be 59°F or higher on March 25?
69,574,705
69,574,705
b6deef56b2c0bce2d66fc1ae28d06cdb2c63d746
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x579ce3b991055840b9f8b21b000697abf2072d78b6265a5dcc9b95c0f3dfed1c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Trump post 100-119 times March 14-21? | Event: donald-trump-of-truth-social-posts-mar-14-21 | Choice: no | Confidence: 1.0 2. Question: Will Trump post 180-199 times March 14-21? | Event: donald-trump-of-truth-social-posts-mar-14-21 | Choice: no | Confidence: 1.0 3. Question: Will Elon t...
no
1
highest-temperature-in-london-on-march-25
Will the highest temperature in London be between 60-61°F on March 25?
69,574,845
69,574,845
8a71e8b240f7b4fe176fc3b22990fbe979c965df
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x62a0703e1b7ec4e90ac2f6a85327c8971beeb52839a2f7d3e67cd355ed06e852
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Trump post 180-199 times March 14-21? | Event: donald-trump-of-truth-social-posts-mar-14-21 | Choice: no | Confidence: 1.0 2. Question: Will Elon tweet 625-649 times March 14-21? | Event: elon-musk-of-tweets-mar-14-21 | Choice: no | Confidence: 1.0 3. Question: Will the price of Bitcoin ...
no
1
highest-temperature-in-nyc-on-march-25
Will the highest temperature in NYC be between 51-52°F on March 25?
69,574,848
69,574,848
09278308d100c74016a1f80e6deda6d91735848e
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x7e444ac87ee6e0239207aadd7a9ffd6f7f308fa5dcc2e93bd9ea78290288e086
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet 625-649 times March 14-21? | Event: elon-musk-of-tweets-mar-14-21 | Choice: no | Confidence: 1.0 2. Question: Will the price of Bitcoin be greater than $87000 on Mar 21? | Event: bitcoin-price-on-march-21 | Choice: no | Confidence: 1.0 3. Question: Will Elon tweet less than 40...
no
1
elon-musk-of-tweets-mar-21-28
Will Elon tweet less than 300 times March 21-28?
69,574,870
69,574,870
ec907fe3a39a4fdda5a99669c1557bbcf4cc18c1
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x44696c44346837000aede4bda9f8944ec888d00cac1bf9193e5b75d661069d02
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the price of Bitcoin be greater than $87000 on Mar 21? | Event: bitcoin-price-on-march-21 | Choice: no | Confidence: 1.0 2. Question: Will Elon tweet less than 400 times March 14-21? | Event: elon-musk-of-tweets-mar-14-21 | Choice: no | Confidence: 1.0 3. Question: Will the highest tempe...
no
1
highest-temperature-in-london-on-march-25
Will the highest temperature in London be between 58-59°F on March 25?
69,574,871
69,574,871
d6dbf3ef9e684763833774a08dcd2b26a44b3a69
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xf036bf27d2953b1652607739ad1f51541fd7c5c44f7c833faa89b10b7f18fe1d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Elon tweet less than 400 times March 14-21? | Event: elon-musk-of-tweets-mar-14-21 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 72°F or higher on March 20? | Event: highest-temperature-in-london-on-march-20 | Choice: no | Confidence: 1.0 3. Questi...
no
1
highest-temperature-in-london-on-march-26
Will the highest temperature in London be between 64-65°F on March 26?
69,574,873
69,574,873
9d9897664176981dc3d5e95fcc867b938c9d434a
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x07d0efeceeaa4b24fae802f5fef6c1eeebbe5fac4101c8939a6486916662e26c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 72°F or higher on March 20? | Event: highest-temperature-in-london-on-march-20 | Choice: no | Confidence: 1.0 2. Question: Will the price of Bitcoin be less than $77000 on Mar 21? | Event: bitcoin-price-on-march-21 | Choice: no | Confidence: 1.0 3. Qu...
no
1
highest-temperature-in-nyc-on-march-26
Will the highest temperature in NYC be between 54-55°F on March 26?
69,574,877
69,574,877
e857864d3ad5b5b3fff5a85c891482e640fb43cb
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xaf401b5e81ffa5179e753ff126ed3828420fc67f98a87f9bc8173cc8d8981f42
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the price of Bitcoin be less than $77000 on Mar 21? | Event: bitcoin-price-on-march-21 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 62-63°F on March 22? | Event: highest-temperature-in-nyc-on-march-22 | Choice: no | Confidence: 1.0 3. Questio...
no
1
highest-temperature-in-nyc-on-march-26
Will the highest temperature in NYC be between 56-57°F on March 26?
69,574,879
69,574,879
54ee381a6c11b4a9f89b77b4a490688da4ee2726
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xba5001cde71c44e1d8201fe8fcd0e5f88ae08c01b6e7f8f7e1d85fd11f1e40ae
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 62-63°F on March 22? | Event: highest-temperature-in-nyc-on-march-22 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 54-55°F on March 21? | Event: highest-temperature-in-nyc-on-march-21 | Choice: no | Co...
yes
1
what-will-be-the-top-global-netflix-show-this-week-03202025
Will “Adolescence: Limited Series” be the top global Netflix show this week?
69,574,881
69,574,881
61b1c9507ebe0f9a1804d09e76dcf3a330b68c68
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xe062f9c72f8802677d1f47f29b74123eaa1df76329ad302b52d252a70e3a721c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 54-55°F on March 21? | Event: highest-temperature-in-nyc-on-march-21 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 66-67°F on March 21? | Event: highest-temperature-in-london-on-march-21 | Choice: n...
no
1
highest-temperature-in-london-on-march-28
Will the highest temperature in London be between 49-50°F on March 28?
69,600,812
69,600,812
394e1749d58a75c9a561f513de2d91c0736ad5ca
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x62339b7bd6c4eb246b226b11414d3f7018b8414bd021b48ed826b3b5eaac43d1
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 66-67°F on March 21? | Event: highest-temperature-in-london-on-march-21 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 55-56°F on March 22? | Event: highest-temperature-in-london-on-march-22 | Cho...
no
1
elon-musk-of-tweets-mar-21-28
Will Elon tweet 650 or more times March 21-28?
69,623,175
69,623,175
01e5a12e45ad8c633c4f862d087efc8063959745
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x89484a976e7e671e2812560036eb27cf0030d7856f3e9b6236ac8b3d960bd9c8
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 55-56°F on March 22? | Event: highest-temperature-in-london-on-march-22 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 63-64°F on March 22? | Event: highest-temperature-in-london-on-march-22 | Cho...
no
1
bitcoin-price-on-march-28
Will the price of Bitcoin be between $82000 and $84000 on Mar 28?
69,623,177
69,623,177
e7a2c56db2a66ea07131ad3092611a48318981d3
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xc0f9130b1147d880a77ee32e51d76834f41f6dce702689dc12299e54cd1ef5bd
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 63-64°F on March 22? | Event: highest-temperature-in-london-on-march-22 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 56°F or higher on March 21? | Event: highest-temperature-in-nyc-on-march-21 | Choice: no...
no
1
bitcoin-price-on-march-28
Will the price of Bitcoin be between $80000 and $82000 on Mar 28?
69,623,179
69,623,179
ef53ae973c938fc338cf5215ab3b4b43d3174e96
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xedde37f83190209fa73053fa9740dbbc641df1b0b05885ed60727eac47bc39b1
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 56°F or higher on March 21? | Event: highest-temperature-in-nyc-on-march-21 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 68°F or higher on March 21? | Event: highest-temperature-in-london-on-march-21 | Choice: no ...
no
1
highest-temperature-in-london-on-march-28
Will the highest temperature in London be between 51-52°F on March 28?
69,623,205
69,623,205
a9a0bacca39a8c41377ee072578b26cd1798f088
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xf86bddaa19b04201cb979ce689d26d850b2a1c10b2c5e4226c6a6dcca55d4a44
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 68°F or higher on March 21? | Event: highest-temperature-in-london-on-march-21 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 64-65°F on March 22? | Event: highest-temperature-in-nyc-on-march-22 | Choice: no...
no
1
elon-musk-of-tweets-mar-21-28
Will Elon tweet 500-524 times March 21-28?
69,623,207
69,623,207
c9b4b3ead90c5a39174cc79faccd524cfe983690
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xd4ae386fe89b850db32e2ad83bfc5cce192656ef3a26efce9d874ec8d4e4a525
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 64-65°F on March 22? | Event: highest-temperature-in-nyc-on-march-22 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 55°F or below on March 22? | Event: highest-temperature-in-nyc-on-march-22 | Choice: no | Conf...
no
1
highest-temperature-in-nyc-on-march-28
Will the highest temperature in NYC be between 56-57°F on March 28?
69,623,212
69,623,212
61cdd1139099a3781fb4b0c63eebfe1f3f95f246
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x697dd055ce9b41d192ae05a5ac88fb2cf95c4f9c64e3e8670ea9297e0ff5c195
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 55°F or below on March 22? | Event: highest-temperature-in-nyc-on-march-22 | Choice: no | Confidence: 1.0 2. Question: Will Max Verstappen win the 2025 Chinese Grand Prix Sprint? | Event: china-grand-prix-sprint-winner | Choice: no | Confidence: 1.0 3. Q...
no
1
highest-temperature-in-nyc-on-april-1
Will the highest temperature in NYC be between 55-56°F on April 1?
69,771,682
69,771,682
209456ce05dd8c1ae20654a8fc18a6f5b330d9e3
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xb17db034c7b4704f6ca462269995e3e65211d7fce7c270a3fbea6f0a6398790d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will Max Verstappen win the 2025 Chinese Grand Prix Sprint? | Event: china-grand-prix-sprint-winner | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be 66°F or higher on March 22? | Event: highest-temperature-in-nyc-on-march-22 | Choice: no | Confidence: 1.0 3. ...
yes
1
what-will-kanyes-token-ticker-be
Will Kanye have no token before April
69,771,682
69,771,682
156d5113a6666c566ed2e072cb322752bb9d2126
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x39a667159b53e0617bbc7a002204827f5e2ce8b32a1d1d31930acec50020bc90
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be 66°F or higher on March 22? | Event: highest-temperature-in-nyc-on-march-22 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 51-52°F on March 24? | Event: highest-temperature-in-london-on-march-24 | Choice: no...
no
1
highest-temperature-in-london-on-april-1
Will the highest temperature in London be between 58-59°F on April 1?
69,813,053
69,813,053
f3c4bbdd4abdc833a9dc0ad3eb3d663887916aa3
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xadb5eba1607e89ae4d1806bab92b27ed134de1bef97b4a787d9f7d5303907f73
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 51-52°F on March 24? | Event: highest-temperature-in-london-on-march-24 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 53-54°F on March 24? | Event: highest-temperature-in-nyc-on-march-24 | Choice: n...
no
1
highest-temperature-in-nyc-on-april-4
Will the highest temperature in NYC be between 68-69°F on April 4?
69,882,204
69,882,204
cd561cbf1d3425910e81ca890f24e6165132f86c
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xf0c862610edb0d3893cb531a1fd5efc19a6a1d17fd8706e736d5ac3275a09171
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 53-54°F on March 24? | Event: highest-temperature-in-nyc-on-march-24 | Choice: no | Confidence: 1.0 2. Question: Will 'Magazine Dreams' gross less than 1m on opening weekend? | Event: magazine-dreams-opening-weekend-box-office | Choice: yes | Con...
no
1
highest-temperature-in-nyc-on-april-3
Will the highest temperature in NYC be between 66-67°F on April 3?
69,882,204
69,882,204
df325123b574a35653ca16fed5f1c0c45812924b
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x29887677521d8c4bc404b747b47560d725fbe32ce0f7f4e4b664e9a6d823e595
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will 'Magazine Dreams' gross less than 1m on opening weekend? | Event: magazine-dreams-opening-weekend-box-office | Choice: yes | Confidence: 1.0 2. Question: Will the highest temperature in London be between 52-53°F on March 25? | Event: highest-temperature-in-london-on-march-25 | Choice: no...
no
1
elon-musk-of-tweets-mar-28-apr-4
Will Elon tweet 475-499 times March 28 - April 4?
69,909,950
69,909,950
e039a54adeb17124154134584bd6ffca8deb8b24
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xd41beae67791e89e3696dd2ee513ec9dcb57d813c181a1ec51fd6790392dc297
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be between 52-53°F on March 25? | Event: highest-temperature-in-london-on-march-25 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 47-48°F on March 24? | Event: highest-temperature-in-nyc-on-march-24 | Choice: n...
no
1
bitcoin-price-on-april-4
Will the price of Bitcoin be less than $80000 on April 4?
69,909,950
69,909,950
1a97fb9e438bd4548480b71ee30a6ee2f7959ebc
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xeae90b223e9b2c835cc744d155169b4b3ac35d0eb8500835652ab8f13d1c1a33
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 47-48°F on March 24? | Event: highest-temperature-in-nyc-on-march-24 | Choice: no | Confidence: 1.0 2. Question: Will 'Snow White' gross between 44-49m on opening weekend? | Event: snow-white-opening-weekend-box-office | Choice: no | Confidence: ...
no
1
bitcoin-price-on-april-4
Will the price of Bitcoin be between $90000 and $88000 on April 4?
69,909,950
69,909,950
69b5be905265afc3db44ad0534610af3afb6eb81
0x173459dffdab6353d315dffa206cf9d8888fddd4
0xed22d74ac4af655191254789757c4f81a14fbaef5a2d9dc58330adb50df1b067
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will 'Snow White' gross between 44-49m on opening weekend? | Event: snow-white-opening-weekend-box-office | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 49-50°F on March 24? | Event: highest-temperature-in-nyc-on-march-24 | Choice: no | Confidence: ...
no
1
highest-temperature-in-london-on-april-4
Will the highest temperature in London be between 70-71°F on April 4?
69,911,515
69,911,515
52bae94be657d6d3db581044e0cded97ad15b37f
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x22d22c65779f09d31e52228866c6f86d017f44369a3ae7fa9a523876ab2e3e1a
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 49-50°F on March 24? | Event: highest-temperature-in-nyc-on-march-24 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in NYC be between 49-50°F on March 25? | Event: highest-temperature-in-nyc-on-march-25 | Choice: no | Co...
no
1
elon-musk-of-tweets-april-4-11
Will Elon tweet 350-374 times April 4 - 11?
70,203,029
70,203,029
04c806bd62d58cbbfab0d4e78d542eaeca9fedf2
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x278862397e5f271a7b2f0d8c3625993e3c4590a008f0a62e0fdf22b2a94dc612
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in NYC be between 49-50°F on March 25? | Event: highest-temperature-in-nyc-on-march-25 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 61°F or higher on March 24? | Event: highest-temperature-in-london-on-march-24 | Choice: no...
yes
1
fl-1-special-election-jimmy-patronis-margin-of-victory
Will Jimmy Patronis win by less than 20%?
70,459,623
70,459,623
67762aab6bb9471bc95a30e88ae14630c02b7f92
0x173459dffdab6353d315dffa206cf9d8888fddd4
0x222a2702a6b01dba75015f1be2e1d09d3ec2384a680d0aa84a3ea5e647944e89
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Will the highest temperature in London be 61°F or higher on March 24? | Event: highest-temperature-in-london-on-march-24 | Choice: no | Confidence: 1.0 2. Question: Will 'Snow White' gross more than 49m on opening weekend? | Event: snow-white-opening-weekend-box-office | Choice: no | Confiden...
no
1
elon-musk-of-tweets-april-11-18-628
Will Elon tweet 175–199 times April 11–18?
70,708,370
70,708,370
815793c3189ce055485d49c6c0b27026c829d115
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x073fd705201321e99bd0da433b24ce2acae52e85b92c0392c028024189145483
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: None Target market: Question: Palantir (PLTR) Up or Down on November 19? Event: pltr-up-or-down-on-november-19-2025 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
down
0
pltr-up-or-down-on-november-19-2025
Palantir (PLTR) Up or Down on November 19?
79,233,083
79,233,083
70f7e3aae1bb5836d54c4e3cdaa41551b0acfd33
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x1690552d41283d5c5c3db9e5bcb6f207a0fd3af5895239dd327f8fc30862428e
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 Target market: Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? Event: open-above-on-november-21-2025 Predict the user's choice and confidence for t...
no
0
open-above-on-november-21-2025
Will Opendoor (OPEN) finish week of November 17 above $9.50?
79,233,083
79,233,083
7825f31d14a10395fadf837d3019460c61f6fe06
0x17559efac103ac7f361be37ec0b93888d4c55aac
0xb167ebb96487c835bac4fe9aabfe944f821a3fa05298a77349d73541620e3b0d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 Target market: Question: W...
no
0
pltr-above-on-november-21-2025
Will Palantir (PLTR) finish week of November 17 above $175?
79,233,083
79,233,083
9807cef6b04d3f9534e9ea03143a9664dc3e3314
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x47bd1a03f696b26567d9b7ce163c997aee051d960d859d9e78d0f01d207f9539
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
down
0
tsla-up-or-down-on-november-19-2025
Tesla (TSLA) Up or Down on November 19?
79,233,083
79,252,599
90cc0b1898f01e8a645e14d37df88bdce6bbf876
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x1fa0e4235c0e81879ecb173e6b20c94aa18a6b4ed2a1498ec7ae2643ffbdc49d
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0.986581
open-week-november-21-2025
Will Opendoor (OPEN) close at $5.00-$6.00 on the final day of trading of the week of Nov 17 – Nov 21?
79,233,083
79,339,978
c36669c46e5ac652f94dcdb0a541d995fa169026
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x32529a5c2a0e404c9ffb9cb748b1f372143c8d1d7097372719d6dc252fec033c
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0
open-above-on-november-21-2025
Will Opendoor (OPEN) finish week of November 17 above $9.00?
79,233,083
79,339,978
598ba166fa7702954bd0b4cc6f13a6f33cc3bcaf
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x04a130232650d1c4b3df3dc0f17c1d315f9fe22d029baff3ed667a093292cfe1
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0
pltr-above-on-november-21-2025
Will Palantir (PLTR) finish week of November 17 above $166?
79,233,083
79,339,979
f4835c638fa95c236fbbbf66f64e6a6422fb7de6
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x33ee66b6070040998a828b49f9b39261a21b313e68534471a0f91d82acd2c7b7
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0
pltr-above-on-november-21-2025
Will Palantir (PLTR) finish week of November 17 above $177?
79,233,083
79,339,979
5fe4036ef2e8d42162b1870ee85f955da3c88494
0x17559efac103ac7f361be37ec0b93888d4c55aac
0xf3c60be0253bd81a50905b0bd18c23c4b597bb5e140a6d5a2f13499493db376e
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0
pltr-above-on-november-21-2025
Will Palantir (PLTR) finish week of November 17 above $165?
79,233,083
79,339,979
32ff9d564222bd912c13151f4118c923ca61f048
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x423edba942d98aac0cedfa67596e1add487d28c4848247577a46f635487bb3d3
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0
pltr-above-on-november-21-2025
Will Palantir (PLTR) finish week of November 17 above $176?
79,233,083
79,339,980
84d4eebc374fc6c85cd29543006d3e3f85e8ecbe
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x8d59aab9ca16a7a2d3ce352af22a633c988b7684c94de238d9919bb7568b1b87
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0
pltr-above-on-november-21-2025
Will Palantir (PLTR) finish week of November 17 above $172?
79,233,083
79,339,980
3cd568a8a7efc983cd2602e475fc7f03d38525cb
0x17559efac103ac7f361be37ec0b93888d4c55aac
0xa763c7b5a5e9021d90df6d82a481d91ff5a0722c3db540730489c7df6ff18989
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0
nvda-above-on-november-21-2025
Will NVIDIA (NVDA) finish week of November 17 above $210?
79,273,632
79,273,632
4edb90c1191b5ec3690adfc32ca92b73ae23d7fc
0x17559efac103ac7f361be37ec0b93888d4c55aac
0x7629c4c7ca39199d2c10f43223390dae566079df33ab8170fdfae9b0215567b7
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0
pltr-above-on-november-21-2025
Will Palantir (PLTR) finish week of November 17 above $167?
79,273,632
79,339,979
be8f045200b12463612515378182df24bfd2be1e
0x17559efac103ac7f361be37ec0b93888d4c55aac
0xedec61642dbd028bd4f79f4b5f3043747c151f384247dd674508efe5b87be504
train
You are modeling a user's behavior in prediction markets. Given the user's prior behavior and a target market, predict the user's likely choice and confidence. Return strict JSON with keys: choice, confidence, rationale.
User history: 1. Question: Palantir (PLTR) Up or Down on November 19? | Event: pltr-up-or-down-on-november-19-2025 | Choice: down | Confidence: 0.0 2. Question: Will Opendoor (OPEN) finish week of November 17 above $9.50? | Event: open-above-on-november-21-2025 | Choice: no | Confidence: 0.0 3. Question: Will Palantir ...
no
0
what-price-will-open-hit-in-november-2025
Will Opendoor dip to $5 in November?
79,273,632
79,747,477