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7db5aed0b74720df92dc41eeec67e377c8e1b105
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x1f07f35e6ee6d881cf38abd0b945765a013d4b19bb7703f5c6019a19a4000a0b
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
1
ucl-ran-bru-2025-08-19
Will Club Brugge win on 2025-08-19?
76,448,928
76,448,928
eb1f7c9ff341aa161a766fcd9dbe8d4f02521f9c
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0xa08c0125b6642a0b0fe081faa3f76973746f1a915a0c95cdb1dde5c2ecbd5ffc
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
1
bun-dor-uni-2025-08-31
Will Borussia Dortmund win on 2025-08-31?
76,448,928
76,448,928
dcb811fd7a10bd4d789d12b265110017a2f3587f
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0xd62a43379a790c695d40bb724c669a87c237aaf7799907d00e14fe7badb573cb
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
yes
1
ucl-psg-ata-2025-09-17
Will Paris Saint Germain win on 2025-09-17?
76,580,104
76,580,104
e5a365fbaddc59c4c4896ce0ee0b0f16c042a60c
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x3bacb765b4b30303a22bcf1f61372b13363bcd3742c4a72d85ca2c62b2edf49a
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
yes
0.021279
ucl-bay-cfc-2025-09-17
Will Bayern Munich win on 2025-09-17?
76,580,104
76,742,016
4d43e269a3be0b0d6f6dd0ad7dcb1e0703d7cb76
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x6f18d3500f82e6e1918d73e59e6a03c752621ff16cadd028f95b126ad19f1b39
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
yes
1
epl-mun-che-2025-09-20
Will Manchester United win on 2025-09-20?
76,700,168
76,700,168
a310ae3d7e369795eee75d1d709f2fda5c118036
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x099e8c4083a5e7ba05290ace011aa6bba27814450cfc4b642609e229af18adbc
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
yes
0.000869
epl-bou-new-2025-09-21
Will Newcastle win on 2025-09-21?
76,733,886
76,742,015
bf0e2744fbdf0a267a144fb64da80737f5812436
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0xd84038d257ee2be579e71661823d8f4978e4f54cb566fe31fd4ee5a353052787
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
0
epl-ars-mac-2025-09-21
Will Manchester City win on 2025-09-21?
76,741,988
77,228,932
b02f487615594c3097fb6277b0b00a6e5f7365ed
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x28a2c341bde029fb59f598c802bbd04763f634aa5ec642a7b016dfaee0000582
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
1
ucl-mac-nap-2025-09-18
Will Manchester City win on 2025-09-18?
76,742,015
76,742,015
10f5811c179da4127d85c97596708eee9adb223f
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x315bc10cea2926ed706b38c329481c7c7cb341e8aff417019c736347734c5c8f
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
1
lal-bar-val-2025-09-14
Will Barcelona win on 2025-09-14?
76,742,015
76,742,015
76136cffaf004e9e6b77a755f0f3dfaa8c1a13df
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x46992267801cc03bde3f36afaaca57180f7cfb62f3cd9e9d500b81b938348c09
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
1
lal-bar-get-2025-09-21
Will Barcelona win on 2025-09-21?
76,742,015
76,742,015
5557e556c53f3c57985509aeee8cfc462195d454
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x806db4ef536678fab5390d642d965e6b446dd2d646cfa94f8218f2e900a32b6b
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
1
epl-che-bri-2025-09-27
Will Chelsea win on 2025-09-27?
76,982,581
76,982,581
c0f1945d38659e675f12509424626c300315e90e
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x08fd8c7cfce5d959368b3b6bffb4e503c17b7cd6099c770a46ca296baa12ddf5
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
yes
1
ucl-kay-rma-2025-09-30
Will Real Madrid win on 2025-09-30?
77,103,372
77,103,372
46680f5019d846b11b38091adb583dc07d740690
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x1c54bb7b4b94ed15224cc69b465668a3f0a80bc3b6a909b0877d721cb3ec71b5
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
yes
1
ucl-paf-bay-2025-09-30
Will Bayern Munich win on 2025-09-30?
77,199,427
77,199,427
a6e4924a4a57beb69ec2692f9d2a6f7142e25a77
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x23ba6893bf11ac39eac06d3e373f9656d46193c07d52f8fabcd5ed3651231289
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
yes
1
fl1-olm-psg-2025-09-22
Will Paris Saint-Germain FC win on 2025-09-22?
77,228,932
77,228,932
a672d3608f9b80c515b9bfd7ad373263f0f96513
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x2a466b96d679bc94db4338f8b0c21aaf640cd5cdffb1908762861bf81f0929c4
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
1
lal-bar-rso-2025-09-28
Will Barcelona win on 2025-09-28?
77,228,932
77,228,932
e063b8ad4b1589436cbc98a41d3ebda3edc9679d
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x9f37858c746173751213fdf8efaf1a16ad479cdee1b08249fe14a850d6f8a771
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
yes
1
epl-bre-mun-2025-09-27
Will Manchester United win on 2025-09-27?
77,228,932
77,228,932
5169d23426a9a1c542ca792f3347581af98415f5
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0xab3eac189555b839ddaa859d54d621193f6fe304ccee3b24c6600d54237b658b
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
1
lal-ovi-bar-2025-09-25
Will Barcelona win on 2025-09-25?
77,228,932
77,228,932
9d8152d031a02761b1edcad2f5141703f8aec48f
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0xf25b3a43d717e2b6cc164231359867d845b36be4263458d75155744f649d5bfd
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
no
1
sea-nap-pis-2025-09-22
Will Napoli win on 2025-09-22?
77,228,932
77,228,932
88aadb80bd1353c5794ffec6c961fc5ab4f173b3
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0xc6b734cb08be267e4f3d9b8fa377ee33aa8e1810875ccd565946b904dc607364
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 Liverpool win on 2025-08-15? | Event: epl-liv-bou-2025-08-15 | Choice: yes | Confidence: 1.0 2. Question: Will Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-20...
yes
1
epl-bre-mac-2025-10-05
Will Manchester City win on 2025-10-05?
77,314,627
77,314,627
d540bdce3d2a85e499dfc25af49d6807c1b6c802
0x3ae5c492d2193b1a9e7702665807bdf82a3e53c8
0x4ae3f62847da298b9f375e5dbdcaccfeb836b4330b7ffae11653a137ca846dad
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 Real Betis win on 2025-08-22? | Event: lal-bet-ala-2025-08-22 | Choice: yes | Confidence: 1.0 2. Question: Will Paris Saint-Germain FC win on 2025-08-22? | Event: fl1-psg-ang-2025-08-22 | Choice: yes | Confidence: 1.0 3. Question: UFC Fight Night: Ortega vs. Sterling | Event: ufc-fight-n...
yes
1
epl-mac-eve-2025-10-18
Will Manchester City win on 2025-10-18?
77,862,050
77,862,050
e832fb605794d858a7819d3d8982a157b6699a89
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x32080658dcf05916c41c1d2225bc806beef11d440a24cc0d73eea5a1bed4e9e9
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: Will the highest temperature in London be 76°F or below on August 13? Event: highest-temperature-in-london-on-august-13 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
no
1
highest-temperature-in-london-on-august-13
Will the highest temperature in London be 76°F or below on August 13?
75,154,407
75,154,407
902347bbd492a12e170d20b476f41eca5661c64a
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xf8945f9f7b7c05bfd878a000863d470b5f36dcdb9d27302a8a07e5a4e3d1e07d
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 Target market: Question: Will the highest temperature in New York City be 81°F or below on August 13? Event: highest-temperature-in-nyc-on-...
no
1
highest-temperature-in-nyc-on-august-13
Will the highest temperature in New York City be 81°F or below on August 13?
75,176,357
75,176,357
8e3ae90ff51c0bcb20cb4f16894c50502c2a8c12
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x45ad2d311fa224492a775154a9500724b6b3563c9b3df1bc6f980398e5f84213
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-14
Will the highest temperature in London be 88°F or higher on August 14?
75,220,196
75,220,196
7966fea3407a1a7c1db5a89114db8e46e3416dea
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xe1ac15012db4c60273d88f876df5485e363909dfbe6f6d2de25c89a203d541b2
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-14
Will the highest temperature in London be 77°F or below on August 14?
75,220,196
75,220,196
dfd3f443270fecd6d036c9183af5279f93fc9bb6
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x12ab6dae0cebdaf9153c572ee5ae15eb247cb95ab9c180b81b2cbf1cbb280b41
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-14
Will the highest temperature in New York City be 93°F or higher on August 14?
75,235,762
75,235,762
d2dbe58871f3dbf249adbfe5c4aa07b41dc0c37c
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x1d48d9e4336b7b6cd45b713350c14ea919d1cfef9b648229dc0f5a1bc2daaac2
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-15
Will the highest temperature in New York City be 80°F or below on August 15?
75,264,829
75,264,829
32281d651858800f6d13c5a3f54d111d29b3a247
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x422a8265e0d13d162a90cb7a3ccd771faff8305c3f3478659aecdcc7b0cd6bc3
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-15
Will the highest temperature in London be 78°F or below on August 15?
75,264,829
75,264,829
a3ae5628e168507b5e0db0c08c195c8f2694e11e
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x498f84a676111cc5e333eab5aa9f5106b2bbbb9cd17b3e7dc1379e85e131aa88
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-15
Will the highest temperature in New York City be between 81-82°F on August 15?
75,264,829
75,264,829
54c9c0cb627800a7852dce20d81ba9f7e2c3b772
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x502aa4e30088831ceb3dee2766b0d46095a377ee8fc44393316c1e4a3cb8b084
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-15
Will the highest temperature in London be 89°F or higher on August 15?
75,264,829
75,264,829
84d884c4793362792ad56ba6fce514a34b4f6d94
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x83a7c71e860ddaccfc75db2e94de07f879bca5f1e583aa6150c776e415e84023
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-15
Will the highest temperature in London be between 79-80°F on August 15?
75,264,829
75,264,829
692dcd454485b45f9d8381cfa480f632dba45ec9
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x31d2785ee02ba67e49e74553673af3c982b29a5845d102740039a470d26c6f13
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-15
Will the highest temperature in New York City be 91°F or higher on August 15?
75,273,991
75,273,991
e7ba8776565af387285d3a38c6277747b7d36cf1
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x05f7dd06c10eed08438127f04cdc855195376caa357d1b0425265c47cad8ae6b
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-16
Will the highest temperature in London be 68°F or below on August 16?
75,306,369
75,306,369
2bc503d921ac8121d2d562b9bdb1af7b41ea02ee
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x7ec07c7ac5d7178bcd4716749e25bb2dcdc384676283148af93cc12999d8b9d0
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-16
Will the highest temperature in London be 79°F or higher on August 16?
75,306,369
75,306,369
0b6b77671298f40d39374e2604ec3e6603ece4e0
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xa2c993d24fa9aaad8bc6256578d39acb34257c33251246a4835b5a4031a7fd99
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-16
Will the highest temperature in New York City be 78°F or below on August 16?
75,306,369
75,306,369
c6672dbfe59389fd4822d5dcfb27ec08ffcf37f7
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x36eba3c76c814aa3648a60cbb44b102c54d2646ce12795b15de47e68d3b9bd79
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-17
Will the highest temperature in London be 68°F or below on August 17?
75,345,035
75,345,035
6c1df22a82ffa82c6ff92fa602d582ea616c0b33
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x8370432413c45e7743a381b6330cceb3ed94540e8c83a1883f565eac50d39985
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-16
Will the highest temperature in New York City be 89°F or higher on August 16?
75,345,035
75,345,035
099a3edf3cdf23ee5d292fda255b6308e909ee55
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xa24c8dbfa04d063f64dd329cf61240d9d5e08a680ee2a54811e887d9c38c77cf
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-17
Will the highest temperature in London be 79°F or higher on August 17?
75,345,035
75,345,035
f86bf54bd8d12528aa03cfca10587ce6011316e9
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xa1046da4731c0a3ee545f328a39256a92c0c16c9c9c40251e62504fe339ff4b9
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-18
Will the highest temperature in New York City be 71°F or below on August 18?
75,351,198
75,351,198
43e918c949b414a0c6feca7052311419dfb3b511
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x29d3b3ebdb7df261f93fac9b88b04b21b692ccf3885e4fcdd3daba7b9151f235
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-18
Will the highest temperature in London be 65°F or below on August 18?
75,357,521
75,357,521
65f1a7d7c003991aef1f67460ea8085eea5d75c1
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x200f7ae53b2c36940e1b2563e3f6e75cafd26132d0a426d25e85c101c818d8a8
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-18
Will the highest temperature in London be 76°F or higher on August 18?
75,381,394
75,381,394
c554beef17e5cd4b866eb0e2f0b498bc299d1c45
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xbaa0539b0c220497c369f483fc5e92d41e742c69efc2f3d11b0a5adafa2df1bf
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-18
Will the highest temperature in New York City be 82°F or higher on August 18?
75,390,875
75,390,875
dbf66c5797079fc0c94664c6f18c09925e2cf751
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x0507c7ac1ee85773490af2d6385af3016835e0d1d385b2a57c200754bfcf113c
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-19
Will the highest temperature in London be 68°F or below on August 19?
75,400,433
75,400,433
de5cd7efde224efad7bdaa9f02cfd899589f691f
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x0d1e9a30f3fd3abaddcf23c6b3cd697a7addbb6285a30aa38bfa2feee74922ce
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-19
Will the highest temperature in London be 79°F or higher on August 19?
75,421,909
75,421,909
91c5a7310db628298a1abbc9576bb44fc685e0cd
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x258093b2a8f64a0ca643d559df8cdabdb8c38d0af655b8c0e8db6c4b1f4d06b5
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-19
Will the highest temperature in New York City be 70°F or below on August 19?
75,421,909
75,421,909
b3933a839e4d49731ed4920ffe04616d0d7e4e49
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xc974da97c1714a1fe4648533d91b441251cf7547c71349d2b4ee3059ec3599fa
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-20
Will the highest temperature in London be 62°F or below on August 20?
75,421,909
75,421,909
1ed9fb3122e547654de983e963a5f963c07d8182
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x312e97e44170266917ba169109bc825a3e427b46ead3e53c50d7b4d83fe96d79
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-19
Will the highest temperature in New York City be 81°F or higher on August 19?
75,438,541
75,438,541
b3ddd412d190bf1075ff06db2d20fe9b8a0d3ba0
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x5f61da16e23df012c915eee675acc38c9d7d9e55c90137797f43e45293f4189b
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-20
Will the highest temperature in New York City be 81°F or higher on August 20?
75,471,223
75,471,223
5b57fb4307636fc8cd737c0ac1a73e81d781503a
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x84cf394f7ff12bba065fe8a9cc2028f0d97091f94160799670b2193e071fa531
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-20
Will the highest temperature in London be 73°F or higher on August 20?
75,471,223
75,471,223
e8ffc325a3a931fc699cee1fa70b0d87393dfe67
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x58ecad53a0b53c390df5bf7113d87470232af684d361603e7c6483375d57da6b
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-london-on-august-21
Will the highest temperature in London be 73°F or higher on August 21?
75,510,888
75,510,888
48147518d66ed8cab539be8bfc681f713a190677
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xd38886ae8752e71e3e5d2f3ec2a666bd0c8fa2e378ded5014b60e5562327a607
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-21
Will the highest temperature in New York City be 80°F or higher on August 21?
75,516,978
75,516,978
a5389b7987dafd22dd73329974a0b2d039a32eef
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x866a89c4feaafd4697e0190e9fdb92e891c1dff75fe83335bf5340ec859f582a
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 76°F or below on August 13? | Event: highest-temperature-in-london-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 |...
no
1
highest-temperature-in-nyc-on-august-22
Will the highest temperature in New York City be 77°F or below on August 22?
75,554,621
75,554,621
a6a5d0a6d143d689d1e80d39991eb38ce896df93
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xd825f87d4e0bd8f0095894a64e13e0e74efecbb8e93cfba57190457f0d6812a8
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 New York City be 81°F or below on August 13? | Event: highest-temperature-in-nyc-on-august-13 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 88°F or higher on August 14? | Event: highest-temperature-in-london-on-august-14 ...
no
1
highest-temperature-in-london-on-august-22
Will the highest temperature in London be 68°F or below on August 22?
75,554,621
75,554,621
92d970ad33f8e2f9e0838cbe92604b357b18638c
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xfc7b116c04e96a2b48c81e38c03bc754de9c62fd9c8170098958b1e51301c962
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 88°F or higher on August 14? | Event: highest-temperature-in-london-on-august-14 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 77°F or below on August 14? | Event: highest-temperature-in-london-on-august-14 | Ch...
no
1
highest-temperature-in-nyc-on-august-22
Will the highest temperature in New York City be 88°F or higher on August 22?
75,554,621
75,554,621
6627cb861db0ed4422a26255578d25ce3bf6b70f
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x0af9c656fc8d93716f930b4f113e5e7ce30e13b8f157db45b973b59cd4c0c837
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 77°F or below on August 14? | Event: highest-temperature-in-london-on-august-14 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 93°F or higher on August 14? | Event: highest-temperature-in-nyc-on-august-14 ...
no
1
highest-temperature-in-nyc-on-august-23
Will the highest temperature in New York City be 78°F or below on August 23?
75,591,436
75,591,436
5109650925db53f08a675a4db5b134d251f4d71c
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xa2f6241bfe22bbc2b14137536e35a7f662192250dc79bab2f808b8efbb5eb500
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 New York City be 93°F or higher on August 14? | Event: highest-temperature-in-nyc-on-august-14 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 80°F or below on August 15? | Event: highest-temperature-in-nyc-on-august...
no
1
highest-temperature-in-nyc-on-august-23
Will the highest temperature in New York City be 89°F or higher on August 23?
75,591,436
75,591,436
a44a5c3948a6f79420ac33f59b47ad24065f7d7a
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x5afa025c6a2ad1ac287df19bc03e218b9937fc13017bcad669b3a5aa6036898d
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 New York City be 80°F or below on August 15? | Event: highest-temperature-in-nyc-on-august-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 78°F or below on August 15? | Event: highest-temperature-in-london-on-august-15 |...
no
1
highest-temperature-in-london-on-august-24
Will the highest temperature in London be 70°F or below on August 24?
75,604,932
75,604,932
0a51934c50b757668396babdad947bd1b0d92f30
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x8764cff112e2de6f7e1cc86491a55654c24f246d8c4cd88d9cbf642ed5154944
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 78°F or below on August 15? | Event: highest-temperature-in-london-on-august-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be between 81-82°F on August 15? | Event: highest-temperature-in-nyc-on-august-15...
no
1
highest-temperature-in-nyc-on-august-24
Will the highest temperature in New York City be 86°F or higher on August 24?
75,633,941
75,633,941
ef5a42360f1a89f9f50f98004e74cdbc6d032bdf
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xe0e7af6ca518d149c5af3dc82de4b08ea4ffbe70e4ddf61e7ac9df7f524ab597
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 New York City be between 81-82°F on August 15? | Event: highest-temperature-in-nyc-on-august-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 89°F or higher on August 15? | Event: highest-temperature-in-london-on-august-1...
no
1
highest-temperature-in-nyc-on-august-24
Will the highest temperature in New York City be between 76-77°F on August 24?
75,633,941
75,633,941
645e83dd01ce1f25cff139f95b4fceb9fbc01a97
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0xe4ac24712445de45f7146121fbf184c8a2767b8a635e332032b3f196d9d9ab14
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 89°F or higher on August 15? | Event: highest-temperature-in-london-on-august-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be between 79-80°F on August 15? | Event: highest-temperature-in-london-on-august-15 | ...
no
1
highest-temperature-in-london-on-august-24
Will the highest temperature in London be 81°F or higher on August 24?
75,633,941
75,633,941
1ff46b899ae314616fe8d9d108b770d3754e6220
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x12ff084ca41d1fd538de9655b1bd73f5f893fb0be2970b8e61d9de43bc06925b
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 79-80°F on August 15? | Event: highest-temperature-in-london-on-august-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in New York City be 91°F or higher on August 15? | Event: highest-temperature-in-nyc-on-august-1...
no
1
highest-temperature-in-london-on-august-25
Will the highest temperature in London be 74°F or below on August 25?
75,663,117
75,663,117
ae57bf4ba83a16d7f5ba50af586043434e813a8e
0x3b10d8aff858e72879a47b72fde807dafa3a755c
0x2206ce36e78a4af4de60805adfbf0e32919bece99c1ffbea3a4f51735249bbc9
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 New York City be 91°F or higher on August 15? | Event: highest-temperature-in-nyc-on-august-15 | Choice: no | Confidence: 1.0 2. Question: Will the highest temperature in London be 68°F or below on August 16? | Event: highest-temperature-in-london-on-august-16 ...
no
1
highest-temperature-in-nyc-on-august-25
Will the highest temperature in New York City be 78°F or below on August 25?
75,663,117
75,663,117
8ce022abdd285a10dc0b64290062bd77c752fb5a
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x879894aff501be9389c87e6e372238f95a5a9635821df6e558422ab8ef168f1a
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: Will FK Krasnodar win on 2025-09-27? Event: rus-ros-kra-2025-09-27 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
no
1
rus-ros-kra-2025-09-27
Will FK Krasnodar win on 2025-09-27?
77,036,950
77,036,950
be4abbbc68a61d712b58224c21588012499ffa7c
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0xce48b94770c1b0bee28f530e342957f53d725c7768ea087f262cea3f0b25d6aa
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 Target market: Question: Will FK Zenit win on 2025-09-27? Event: rus-zen-ore-2025-09-27 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "co...
no
0
rus-zen-ore-2025-09-27
Will FK Zenit win on 2025-09-27?
77,036,950
77,036,950
900bf6fba14ba5e5bd35cf7a72a9ef2bb13dbefb
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x2b6c4cfdef9458fee138f4b1445035d7e25e493685cc565f38037c2121ebf8e4
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 Target market: Question: Will Dinamo Zagreb win on 2025-10-02? Event: uel-mta-din-2...
yes
1
uel-mta-din-2025-10-02
Will Dinamo Zagreb win on 2025-10-02?
77,208,304
77,208,304
392393f91ce53c5a0beaeae501f7ed0d6fcc1428
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x40be6d0e9dd5d0c8bf96893ea388137255b03ac49be4727ef2f092adeec3ff0e
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
no
0.333333
uel-pao-goa-2025-10-02
Will Panathinaikos win on 2025-10-02?
77,208,304
77,208,304
d8cddbd58ba69dccebe58c00af8f3141c024ffda
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x5bebe1ede7ba9d9deeec0eb88979ac50ff0b5a54bff4313aba6a20a93cf0c3cb
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
1
uel-gkn-fer-2025-10-02
Will Ferencvarosi TC win on 2025-10-02?
77,208,304
77,208,304
63b206e9459323d095893be651c6954b30630686
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x7bb73037ff34b937168cf7ff8f8ef0a3304111b9d293df1e183c5c4fc9eb1369
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
1
uel-stuk-ran-2025-10-02
Will SK Puntigamer Sturm Graz win on 2025-10-02?
77,208,304
77,208,304
620a6ad9330285ef53de2f4aefd5ae19b8c7e48c
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x86b2fd7e1c4af567353bb2b5f52248f9ed40990a8adf386d7a0009b9183cdaf7
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
1
uel-fcsb-byn-2025-10-02
Will BSC Young Boys win on 2025-10-02?
77,208,304
77,208,304
6599a9be02b2a9b6a8357feba70d6bb076062840
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x9be3aae7f8b9217abaa26e8a9ef66ee57564c4c2c2c5a0675a434b42248d2548
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
0.2
uel-fey-ast-2025-10-02
Will Aston Villa win on 2025-10-02?
77,208,304
77,208,304
98fb71e54ca175d52421030f008818291d203de5
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0xed1fc16c1df1267a1da15c4fc18759922d7e44e14b0143e7a7ebf2f3af946579
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
1
uel-bas-stu-2025-10-02
Will FC Basel win on 2025-10-02?
77,208,304
77,208,304
971d1c9bfa192e14ec69f069c54735cf647aa07b
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0xf7da51f6d461e78c95f371be09c16062c41ffabd93c83af3ed5ef688d20cb045
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
1
uel-clt-bra-2025-10-02
Will SC Braga win on 2025-10-02?
77,208,304
77,208,304
478b0ed85e1ec3f51244c2dfba3f22ef01a35587
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x0b257754c84d9003169e57853c0a673c2714ff455b06bd064cd438bfec5b1011
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
1
uel-bol-scf-2025-10-02
Will Bologna vs. Sport-Club Freiburg end in a draw?
77,208,306
77,208,306
12b3d1bdae70b2e414b9e7ee5b80a12f1fb4cdfe
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x21d009b7acc1d5137796fcb903ccba1a538d5d4bf084ada5e2177b9ed192cee3
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
1
uel-pao-goa-2025-10-02
Will Go Ahead Eagles win on 2025-10-02?
77,208,306
77,208,306
92a84f2110f2218813999a1eafb6a41cfcc134b1
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x4ffe923dd1bca2de7985cc1d7097def096116cac80fd861369bc88ec5e6970ce
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
no
0.333333
uel-clt-bra-2025-10-02
Will Celtic win on 2025-10-02?
77,208,306
77,208,306
2367cd3251be7a7ae027ced357b35ad6d98dce94
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x5dc7f51000787b5e32baf2cfac5a3a73417e4e872ce9b6dc1c24799042ec70f2
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
0.2
uel-rom-lil-2025-10-02
Will Lille win on 2025-10-02?
77,208,306
77,208,306
95609dd0f6f2aa1828fa28079404579dcedd6f6a
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x74ab26420f9bc44fc7a39f238a18a22ae3ba08ea4810bfe53af309d91e1870ba
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
0.2
uel-fen-nic-2025-10-02
Will Fenerbahce win on 2025-10-02?
77,208,306
77,208,306
2f9fc4241a8e4732cf5aa54ae961efd90cb33d2b
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x84b1d06cbd0b1da8682b51add8720aea4e1e5dd08d6a2c38b9667ae10af343e3
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
0.2
uel-plz-mal-2025-10-02
Will Plzen win on 2025-10-02?
77,208,306
77,208,306
02f863186e755fddcca48f11375c83f57d790e87
0x3b3a59060c869d91366d299bd9b52cfdaa091440
0x8564b89abea8dd03a1b41e33100e942d811bbb5f1d85873ffe9e80d59666f70a
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 FK Krasnodar win on 2025-09-27? | Event: rus-ros-kra-2025-09-27 | Choice: no | Confidence: 1.0 2. Question: Will FK Zenit win on 2025-09-27? | Event: rus-zen-ore-2025-09-27 | Choice: no | Confidence: 0.0 3. Question: Will Dinamo Zagreb win on 2025-10-02? | Event: uel-mta-din-2025-10-02 |...
yes
1
uel-por-crv-2025-10-02
Will FC Porto win on 2025-10-02?
77,208,306
77,208,306
01fdc34cec2a0ccc0e1195665ec3aa5a1f93ec80
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xafc3276cf2ab35b7deb28433786e7fb4eee1ba4c586c5505f8e33b9186c0703a
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: Will Manchester City FC vs. Bayer 04 Leverkusen end in a draw? Event: ucl-mnc-lev2-2025-11-25 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
no
1
ucl-mnc-lev2-2025-11-25
Will Manchester City FC vs. Bayer 04 Leverkusen end in a draw?
79,512,334
79,518,199
d780e597be67000ace8006cd28344d781001cd5c
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x6159be269f88be1f567a85a7087dacbb77c40532e29682c5b8f1304837e7b705
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 Target market: Question: Will SSC Napoli win on 2025-11-25? Event: ucl-nap-qar1-2025-11-25 Predict the user's choice and confidence for the target market. Output st...
no
1
ucl-nap-qar1-2025-11-25
Will SSC Napoli win on 2025-11-25?
79,512,481
79,512,481
cab74271a358e0b9cf679143b9102b78d023ade9
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xd02ee6284701277aba9de3233255185875355b0c834f462fb37393a2428d1458
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 Target market: Question: Will Juventus FC win on 2025...
no
1
ucl-bog-juv-2025-11-25
Will Juventus FC win on 2025-11-25?
79,512,481
79,512,481
10b9c89139fa6be5f651e772da4439e54aa889b4
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x2b88f04d52ac4de93b80543659a4d5c510a9f5b2b615b55345715127151e7506
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
hawks
0
nba-atl-was-2025-11-25
Hawks vs. Wizards
79,512,539
79,512,539
4b16a35f5d2ff553df6bbff6f99963fcb2281318
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x782ba52051e9f68296d28be460bfe6c96209139000e7a08d97940b5b1b4fe788
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
george washington revolutionaries
0
cbb-geows-murst-2025-11-25
George Washington Revolutionaries vs. Murray State Racers
79,512,539
79,512,539
0535c2d91620df5f93403cc6231da084e609a945
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xf1644c299ba1f6a869808fdc976e34b944ae61c82fc4d7332fd418fb2025042b
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
florida gulf coast eagles
0
cbb-rice-flgc-2025-11-25
Rice Owls vs. Florida Gulf Coast Eagles
79,512,539
79,512,539
96c3c448ddf56e954c9b86a9a18841f806072070
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x6d728e0aa1f9cbee4c5ff8fede634187e2ae02c7aedf0f4aa8f6dd4d50bb5af6
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
iowa hawkeyes
0
cbb-miss-iowa-2025-11-25
Ole Miss Rebels vs. Iowa Hawkeyes
79,512,539
79,517,428
f8dc091eb7d5e3fafb317ab202d8afd9efbdb7da
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xd50ceea48bf35887b52e07ac4a3aacd237d62e23bfea8572e2446cf4f33100a2
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
76ers
0
nba-orl-phi-2025-11-25
Magic vs. 76ers
79,512,539
79,517,901
e9db86f91f512895dbba73566a55b659fc8a54ee
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x756974553a18f4f06682cb5aae2ad993539abbc0032899d15e82d712d475bf69
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
mcneese state cowboys
0
cbb-mcnst-mtnst-2025-11-25
McNeese State Cowboys vs. Middle Tennessee Blue Raiders
79,512,539
79,517,979
9c747b4a89481176399251ce5ccf14ab7c2b1ab9
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x9418ca0b0f1e2a097095a048f2cbdfbe4a51677fd8662ecd64b83143335054d2
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
cal poly mustangs
0
cbb-calpol-semst-2025-11-25
Cal Poly Mustangs vs. Southeast Missouri State Redhawks
79,512,539
79,531,723
237c4b0b2c847966173d8ffc8d82ae0ba1746b14
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xc7df2ce3b5054d1758146fdcb5aa076e47776536f359c86bef96bc09e414b742
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
yes
0.935737
ucl-paf-asm1-2025-11-26
Will AS Monaco FC win on 2025-11-26?
79,540,586
79,551,626
572d2970ed5a5023864ae8b33eee2e47dc31e4c8
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xc20674104ba507dbb4cfca9e68874654595de491cc437de07d91e5771a721ff1
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
bucknell bison
0
cbb-buck-buf-2025-11-26
Bucknell Bison vs. Buffalo Bulls
79,540,979
79,551,582
042b80bca7e3a2934884eaced65030db08860cd4
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x17a9229e0b31a3fe9640259eb096b5db7dddb981d5130274b9678490e8f68ffd
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
no
1
elc-bbr-qpr-2025-11-26
Will Blackburn Rovers FC win on 2025-11-26?
79,551,582
79,551,582
6bc362aaf1289eca4a3aacb29577423fd1072bf5
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x881ff9b92b7d9b4506307c1fcb49c9caba79d806fcbeb16a6796d455532380d6
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
no
1
ucl-ars1-bay1-2025-11-26
Will FC Bayern München win on 2025-11-26?
79,551,582
79,551,582
b248d012d410e8720c30534e482e347dddbcd071
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xa0f461aa38d62b25178a5328e93a6e06c8e8c22ff0f0fbc72652656c92dc54af
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
no
1
ucl-fra1-ata1-2025-11-26
Will Eintracht Frankfurt vs. Atalanta BC end in a draw?
79,551,582
79,551,582
676feab9b07d0db049b78c38bc392fd61b4f59cf
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xe7b80bfc298f92f43e51fa84a9ab8ae72cab43975ad5ab0738a8ca9f0896f5a8
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
no
1
ucl-spo1-bru-2025-11-26
Will Club Brugge KV win on 2025-11-26?
79,551,582
79,551,582
33fa9e8238009547f54101c6086edeabe8881199
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xb2e199347669c2892bd8f01fe7330a04073878261dd949e7b5fb3d56f00d0030
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
yes
0.638586
elc-mil-swe-2025-11-26
Will Millwall FC win on 2025-11-26?
79,551,582
79,551,626
a07b7aa4bd62aa0cc22fce6bf0e04ee69da65816
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x10ec4512365de18eeeb77f3890f90b7690bf1c3a89aed1cfe0d1878a01ab7aed
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
no
1
elc-wre-bri-2025-11-26
Will Wrexham AFC win on 2025-11-26?
79,551,626
79,551,626
e1293d1f9a0148b9d382d281d62ed69279b78b13
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xc71ec6617d1781dc31c9882952d8a5661cb615cd57115631eaac5bffa061fabb
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
no
1
ucl-oly1-rma1-2025-11-26
Will Real Madrid CF win on 2025-11-26?
79,551,626
79,551,626
7a4dca1fc58a1522d71affbf039dbe5512dc9801
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x1671517bd3d1671146fdc1951e1fcd7caec1cd4dfaec52f319b6bb16d5712a5d
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
heat
0.000033
nba-mil-mia-2025-11-26
Bucks vs. Heat
79,554,070
79,554,070
9c3c1729adbb334d69698de36bd0209baf165c92
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0x3974891f820167a75760d5704fd238ddf9d9f3c85a2ec940284a3fe61017daa4
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
grizzlies
0.000004
nba-mem-nop-2025-11-26
Grizzlies vs. Pelicans
79,554,070
79,554,070
7524e7fd3c039bcb589d19077ced5f6e8eb08cd8
0x3b4b39740350566ac2183eafb2cf487afe2c84c9
0xdee7a8155bb65d198be99de9668a3c7cdeb389d82093721d707e00e64defd660
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 Manchester City FC vs. Bayer 04 Leverkusen end in a draw? | Event: ucl-mnc-lev2-2025-11-25 | Choice: no | Confidence: 1.0 2. Question: Will SSC Napoli win on 2025-11-25? | Event: ucl-nap-qar1-2025-11-25 | Choice: no | Confidence: 1.0 3. Question: Will Juventus FC win on 2025-11-25? | Eve...
raptors
0.000008
nba-ind-tor-2025-11-26
Pacers vs. Raptors
79,554,070
79,554,070