sample_id
stringlengths
40
68
wallet
stringlengths
42
42
market_id
stringlengths
66
66
split
stringclasses
1 value
system_prompt
stringclasses
1 value
input_text
stringlengths
215
15.3k
label_choice
stringclasses
913 values
label_confidence
float64
0
1
event_slug
stringlengths
7
120
question
stringlengths
8
164
stance_first_block
int64
30.2M
80M
stance_last_block
int64
30.6M
80M
ef3b74fbf5b8c038e1c5258e72259caa8d42ac5f
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x8566865c2f3a559a5b58e045289cd6437ad1d5437fee535b26d18d3b6b950afc
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
1
how-many-executive-orders-will-trump-issue-on-day-1
Will Trump issue less than 10 executive orders on Day 1?
66,956,421
66,956,421
05108cdcefa3832ded073ed932fbafdf402967a8
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x1eef55abca2789b05a017d94e6fd6ce3173d8d3a269ba7170142b87dd8bb834c
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
no
1
will-trump-save-tiktok-in-first-week
Will Trump save TikTok in first week?
66,959,665
66,959,665
56e318910d96c0fff4fc91aba8f42d1998aa6c98
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x4b87cba72865218e48cbe7c0ebf4f878132a2014e4507693aef2a84304562679
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
no
1
how-many-executive-orders-will-trump-issue-on-day-1
Will Trump issue 40 or more executive orders on Day 1?
67,025,936
67,025,936
f53ed87b67581b319079104d50cef3fc01ceb751
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0xb08c905b375ef4063e12ddd69a320ef38db2e7b6e42d06a378b2190a4d0058dc
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
0.989881
will-tiktok-be-on-the-app-store-on-friday
Will TikTok be on the App Store by Friday?
67,039,023
67,039,023
d8308f8c71a99820e52129ede071e3e59bd12dd8
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x67d64e67bf5854b30de8535b418b771b9bb909f2cb2df7d54c929ee65ac46094
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
no
1
how-many-executive-orders-will-trump-issue-on-day-3
Will Trump sign between 1 and 3 executive orders on January 22?
67,066,098
67,066,098
989e3d9ec405c36ac1a8b7709ec13ff6dc5b8180
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x3254f16fb7fbf7c8b00ff7507fef145d69aaca832967446fb8090c3f5de0c9f4
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
no
1
will-trump-issue-an-executive-order-on-day-11
Will Trump issue an executive order on Day 11?
67,346,262
67,346,262
293a61dbbc355ecff00425584a95215a57a01b1e
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x90022f8972b01ea54fafc30e38412b2f6bcfe5544f3cfbfbcba0cd1b3fc1b3d6
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
no
0
will-deepseek-still-be-1-free-app-on-friday
Will DeepSeek still be #1 Free app on Friday?
67,375,859
67,375,859
e70f91de0ac9e0263e5b430cb1f3174cfe32284e
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x672734ef6dec13a0187e7d811ac9769d9f0c948fd0cec06c0ad15a80a491a678
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
1
tiktok-on-app-store-again-before-february
TikTok on App Store again before February?
67,400,671
67,400,671
a9f7319fee55fef72711f5aee40a1c73fc237425
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x849608be4c85e59d1e38216c483d2dbec2ac87675832bc60b3115548aba1ec45
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
1
human-to-human-bird-flu-transmission-before-february
Human to human bird flu transmission before February?
67,400,671
67,400,671
3748730061b3e4b5e79ed137af7cb1860fd9d96c
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0xfa02778570805dfba88f6868614e4498bbdb41615e25d8e226e002427b33715a
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
0.002073
will-openai-become-a-for-profit-business-before-april-2025
OpenAI becomes a for-profit before April 2025?
67,477,221
67,477,221
df6728478acada5e0a33fae40cac7b41890133d8
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x38b3f83975b123fd50d1de3cb58e32bc48bf35a5766d4dded790d8c25f1226e8
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
no
1
how-many-jobs-added-in-january
Will there be 100-150k jobs added in January 2025?
67,668,563
67,668,563
356190728e24356d39bd95fc125323345e5ca84c
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0xc1d49ff81efa1809ad9d7d107581dcd2d91eab63fb5ddc055015ee3dc48fa650
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
no
1
how-many-jobs-added-in-january
Will there be less than 100k jobs added in January 2025?
67,668,563
67,668,563
88ea6c836886c176e86f06a53c0df27461205da7
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x1663edea3eba0d1ae8f064276dd426cb0497a19bb5188dae48a2f8fa8ea34da8
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
0.371199
ukraine-agrees-to-give-trump-rare-earth-metals-before-april
Ukraine agrees to Trump mineral deal before April?
68,072,562
68,533,092
0522f920d8ab672a70862f4e952e9d6d7974a97f
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0xaa7a42b6d71e8bd7fec17efadc76afa298ec4ccd8fecc538d63274d84d483c7f
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
1
will-trump-issue-an-executive-order-on-february-17
Will Trump issue an executive order on February 17?
68,093,266
68,093,266
84bb8f55330a0fe8b83e5d1c7182e6884e914006
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x12da9018becd98b431fb377ae57087ebbe8ad4a1cf82c832fb0aed7c4b6b791d
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
0.000053
will-trump-visit-russia-before-july
Will Trump visit Russia before July?
68,185,551
68,266,274
b8d139b505c47c0f09365403a37144b227c2d0b3
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0xa503070c5f90c70e460260460637f50ded4d8886e0a3969c76c557d5377b42f3
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
no
0
will-putin-visit-the-us-before-july
Will Putin visit the U.S. before July?
68,224,431
68,265,785
09e8b1a426e9eb4eb68c96719a77b4a06a967fe7
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x97004cec761044f6eb772191377b3a352d3ec05ec0249a1bf5ca442ba1fac097
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
1
will-ukraine-agree-to-payback-us-aid-before-july
Will Ukraine agree to pay back U.S. aid before July?
68,236,821
68,281,336
ca695d903398fd76e7ce95b5e7e0faabb9b77bf7
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x2820f9e0e7fac7f3cc909bccdd212c6f3de818a6b0e4ca401c24beba941a2249
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
0.002903
will-trump-visit-russia-by-may-9
Trump in Russia on Victory Day May 9?
68,266,099
68,266,099
ba5e1edb088e721f4da3804cb8d13726a49a3b20
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0x93ec7298069d02293cf8cf4261e0c6bcee2f83b4a4ff11ffb9abaa8c4261c681
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
no
0
will-kanye-launch-a-coin-in-february
Will Kanye launch a coin in February?
68,267,266
68,267,266
80690be0b90292c28c7038a8cb939a9e786f7cff
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0xa0e3abfe90ee6664e9d3bff58d804b59be167d5554c1ce09b92bf99fcb4d195d
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: Azerbaijan blames Russia for downing plane? | Event: azerbaijan-claims-russia-responsible-for-downing-plane | Choice: no | Confidence: 1.0 2. Question: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.001166107461746...
yes
1
will-trump-issue-an-executive-order-on-february-24
Will Trump issue an executive order on February 24?
68,369,496
68,369,496
3268a76004cad747bc3c039c6474901b5456443a
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0xcaf8ab830bcca035773dbcb56c37329b05cd174294f17384b9b8b5bed8b2dea0
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: Trump ends Ukraine war before inauguration? | Event: trump-ends-ukraine-war-before-inauguration | Choice: yes | Confidence: 0.0011661074617462595 2. Question: Will Gold close at $2,500-2,600 at the end of 2024? | Event: what-price-will-gold-close-at-in-2024 | Choice: yes | Confidence: 1.0 3. ...
no
0
spacex-starship-flight-test-8
Will SpaceX Starship Flight Test 8 launch before March?
68,428,662
68,428,662
300e79dea91c8aa0fd2459bdb705098ef15bff8c
0x092f5ecfcf1df6356a534b6d23d3dd2557fa18ac
0xb6ef4ee16da2e6530b1e4000302fb15fc915a1ef898c5677eee563cbf58f8e3e
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 Gold close at $2,500-2,600 at the end of 2024? | Event: what-price-will-gold-close-at-in-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Putin meet with Trump in first 100 days? | Event: will-putin-meet-with-trump-by-first-100-days | Choice: no | Confidence: 0.7447999024037689 3. ...
yes
1
will-trump-sanction-russia
Will Trump sanction Russia before March?
68,528,219
68,528,219
91c7ccbba6e0a8480d56a4f7957b4461fead1a0d
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x1576c61f293d59b870702c21d7ba8112258a3efd107409c60d4347e3eab28176
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: GME market cap greater than $16b on May 17? Event: gme-market-cap-on-may-17 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
yes
0.170685
gme-market-cap-on-may-17
GME market cap greater than $16b on May 17?
56,988,322
57,150,651
e9d567007c5731add74d7b48417d7070e38a2a5f
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x5498a3c406b898aa4c0eb8b2e5fbc291980593e43e4fb4ec1595a3629b8284f3
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 Target market: Question: $GME halted on Wednesday? Event: gme-halted-on-wednesday Predict the user's choice and confidence for the target market. Output strict JSON:...
no
0
gme-halted-on-wednesday
$GME halted on Wednesday?
56,997,241
57,002,063
8e2afebac800a9a0e231aa1bca5c97c7531e9d59
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0xb94b3f423602fc4c7914fff5c14f4f0f7ea61f997535d00d8d03f7213b2c6113
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 Target market: Question: zkSync airdrop by June 30? Event: aird...
yes
0.000107
airdrops-by-june-30
zkSync airdrop by June 30?
57,041,557
57,041,557
3dc427d4698fc7f67db7d61160b16fd61e243ae5
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x0c187b260d8e25faeb8c4741aabf5bf074889b2c2c9c3991ff54c50009a29dc2
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
no
0.000001
airdrops-by-june-30
Scroll airdrop by June 30?
57,041,587
57,212,381
8339d94492397e17e0c2d55dd6b2ddaec95ee06f
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x9e8c2004776c629f373a060a1e4441e26c3cac80364f671d8700cc53d9c07f82
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
no
0
pumpfun-exploiter-arrested-in-may
Pump.fun exploiter arrested in May?
57,058,276
57,414,800
7d071b071d1d4d4fb96b4d0ba2b8246d930c1e28
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x7bcf60b146f4d60ca757c98e0e70ae76bb82377e5e9f3b4513c0382578270252
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
no
0.209995
gme-market-cap-on-may-17
GME market cap $8-10b on May 17?
57,150,627
57,150,627
919e72fa6d8856a0c6ea3f332521fb4113f8aea8
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0xd561afb7bdb5e9e991fb58a1f9046aad8d3cc3783f1798bdc7a54edd9e4bc9ed
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
yes
1
gme-market-cap-on-may-17
GME market cap $6-8b on May 17?
57,150,634
57,150,634
403690e9d17d1a914fd6d732cbd38167851f8f5c
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x6cf0b1f8d7041d2eaf9b2c107c36f9de48f95f61922f0feafeed15e210965fd1
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
yes
1
gme-market-cap-on-may-17
GME market cap below $6b on May 17?
57,150,639
57,150,639
7c628fc2cc5e24a227dd23f7437e243981df62c0
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0xe384b2246221fa3e4e74e176cafa7d17434f28e603e893f0bda652a9dbbf3d7f
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
yes
0.661017
gme-market-cap-on-may-17
GME market cap $14-16b on May 17?
57,150,644
57,150,644
d090aa75f900748cd49a04c0f259d43cfd0b99bb
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x76e5f6bdbb8b9747ec373b4f9a053443f13ebdf2248f70d8522df82d4240dcd7
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
yes
0.185493
eigenlayer-market-cap-fdv-one-day-after-launch
Eigenlayer market cap (FDV) greater than $40b one day after launch?
57,207,037
57,211,296
7d45bf4b9d7f915d2ff5daf032e8643c2d12a61b
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x49840b617c32858f786529168a3bf4424e31935ce415550e4cfd1af3d8c511e8
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
no
0.764284
eigenlayer-market-cap-fdv-one-day-after-launch
Eigenlayer market cap (FDV) between $35-40b one day after launch?
57,207,051
57,207,051
e217cce39f57dc5dee76ef4ae5350a1920d75d67
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x10c085ad9796aa0f7eda5ba053722c8c12357623257f301d01a2414ffee3ba40
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
no
1
eigenlayer-market-cap-fdv-one-day-after-launch
Eigenlayer market cap (FDV) between $20-25b one day after launch?
57,207,221
57,207,221
c2d31585c4085373e6b65da3fce5bd3aaa4d4cf7
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x442328c16a9dc25ddafd42efbe7c40895e1982ff0308257ba5f475b3260e0999
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
no
0.0005
airdrops-by-june-30
Taiko airdrop by June 30?
57,212,316
57,212,316
cce69eab0c769b3bd1f562bba8016f0595c91632
0x0941a6bfcea1b0644aea9637a2cbf0c20b2beaf9
0x07534bc8869ae2ea1971cdb06e83229d4c9a28e1c576fcdb398f4d3f8080c3e1
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: GME market cap greater than $16b on May 17? | Event: gme-market-cap-on-may-17 | Choice: yes | Confidence: 0.17068498450749842 2. Question: $GME halted on Wednesday? | Event: gme-halted-on-wednesday | Choice: no | Confidence: 0.0 3. Question: zkSync airdrop by June 30? | Event: airdrops-by-jun...
no
0.000001
eu-election-which-party-will-win-the-most-seats
Will the EPP win the most seats in European Parliament?
57,213,043
57,213,043
aad4801e54d2b4d6b1e63bb7899637049c38571c
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x3b5e5484fd4ab230a18cd42bdab433e53c1a1bb1106339fc5be35585f5bfb152
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: Bitcoin Up or Down - November 17, 3AM ET Event: bitcoin-up-or-down-november-17-3am-et Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
down
0.000011
bitcoin-up-or-down-november-17-3am-et
Bitcoin Up or Down - November 17, 3AM ET
79,132,353
79,132,353
be131fefee6c6857724daaa57d8f3fbc7c53400d
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x34573b54208a979c179ce3e2fdbdb273d3fb84ea7e28026c6fa97fbfab975ea2
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 Target market: Question: Bitcoin Up or Down - November 17, 4AM ET Event: bitcoin-up-or-down-november-17-4am-et Predict the user's choice and confidence...
down
0.000012
bitcoin-up-or-down-november-17-4am-et
Bitcoin Up or Down - November 17, 4AM ET
79,133,844
79,133,844
156bc91969c9b16ca3206888f2ea226f305e3275
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xf73f920b5dbad747d0517723e83970799cffbf45a45fe4235569c5f162253f0b
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0.000105
bitcoin-up-or-down-november-17-8am-et
Bitcoin Up or Down - November 17, 8AM ET
79,141,800
79,143,017
15190ba60a7baa363a265c414446555a60736392
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x40835091e68783791ea3958e0b2fc798bdf0df59d44312419e6f04488f7683ef
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-17-9am-et
Bitcoin Up or Down - November 17, 9AM ET
79,144,806
79,652,039
ae2b0e3ac4525af91fb4d010f2cb1bf2fe1d1bed
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x983cbb27789f47bf1f0fb559cc897d8496b1e3c7cd1f2beadb892b91f221609e
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
up
0.000022
bitcoin-up-or-down-november-17-10am-et
Bitcoin Up or Down - November 17, 10AM ET
79,145,091
79,145,091
fe2236130a974ca717533a02f65bf7203013921d
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x4881c08e8dbf854059baa64d337d71427b4a6b9c7e6865e0d3b3c3798049bdbb
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
up
0.000008
bitcoin-up-or-down-november-17-11am-et
Bitcoin Up or Down - November 17, 11AM ET
79,146,463
79,146,463
9df13cfef5e19bdc7f60870c94504822d864c65a
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xa268c18b1a52621ac90dab8c94f25a97bf1316e1784be15f66d2d89c2660615f
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-18-12am-et
Bitcoin Up or Down - November 18, 12AM ET
79,170,283
79,652,038
d1e4c33ef3f341b8844cb201995b446765262625
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xcda250de6c52d164739d46fce6f141d479c8bb1a726ceef04c546c3e2d7f615b
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-18-3am-et
Bitcoin Up or Down - November 18, 3AM ET
79,175,352
79,652,038
0280ee7c09d7c2b973986282b104258f6ef5be26
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x8ab0ee13a39266e4c15a8c5f991212416edc4e8270b091eedc04ad31d27b87a0
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
ethereum-up-or-down-november-18-3am-et
Ethereum Up or Down - November 18, 3AM ET
79,175,407
79,652,039
509677403470ec4be28013f1fae91828b90822ac
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x82e8f478b6471bd836db7074c1d50e0678c82f9eb1cdae4986f8119b7e53df06
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-17-10pm-et
Bitcoin Up or Down - November 17, 10PM ET
79,176,876
79,176,876
bbc6d43c34318967dc1f077b0005f3f8851a66cc
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xb35a204c4f44b19e456d9ee761c0e6d38b90ee9b63cc835908481aad2f1a1c62
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-17-11pm-et
Bitcoin Up or Down - November 17, 11PM ET
79,176,930
79,177,040
cb4f873d8548a4641ccc1131acce9016996b9cca
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xb5d2673fbe76a1f2c99793c1c8187781cedc35677ef491d86eebcd3ea2761459
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-18-4am-et
Bitcoin Up or Down - November 18, 4AM ET
79,177,447
79,652,039
3c37a01998dd1bb3486e3bcf0a4200eb4ef14981
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xaaabf1ae6770338267742e7f2b87b50a8ed97e09eebf0618acd99b1c24bc1b4b
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
ethereum-up-or-down-november-18-4am-et
Ethereum Up or Down - November 18, 4AM ET
79,177,617
79,652,039
4162d8d0a89f5954acea8992100ae16f6d8a92a0
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x369fcadc92bcd3d8f09e89c3091c6c6c03ab47e3a2547a00aeed52927d38cd10
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
up
0.000003
bitcoin-up-or-down-november-18-5am-et
Bitcoin Up or Down - November 18, 5AM ET
79,179,231
79,179,231
5e028e52c98e01f04be23c79c92abbdc9366fbff
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xaa9c2fcf1eee0fa87cf34603b39ba9a44db13af6335f51384e20d99e71e67419
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0.000001
ethereum-up-or-down-november-18-5am-et
Ethereum Up or Down - November 18, 5AM ET
79,179,278
79,179,278
69a252eb651a5e54b513be6bda5174c1acdf5c30
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xfc80fffc879f012fd70ed7507ea1648f9e6ad789e9a1b798cd5b2805f34e1cab
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-18-6am-et
Bitcoin Up or Down - November 18, 6AM ET
79,180,600
79,181,104
7655a330deb36cd0b43687c1039d07133edc7c28
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xcb094d4fe3337ff160581f1f474da7bb92c49fddf3a8be04f5c49a4b7c449eee
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
up
0.000013
ethereum-up-or-down-november-18-6am-et
Ethereum Up or Down - November 18, 6AM ET
79,181,081
79,181,081
30cb1468960b2b7c095c6af417a4a3b217034723
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x26fea62a4b80dcfc49e8f4119f79e15ad984a9a2e81da81704210f8bc28fbdaa
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-18-7am-et
Bitcoin Up or Down - November 18, 7AM ET
79,182,123
79,182,987
6f07ab3ae3d3482a3bee461fe9f8a7276921a8ff
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x7d6ee68583071c7a8cfaee99620b032aff0d00f1227a08e0a40f06722d297982
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
up
0.000007
ethereum-up-or-down-november-18-7am-et
Ethereum Up or Down - November 18, 7AM ET
79,182,821
79,182,844
211524f3004d807ad67262db8f38a2b3c2fa2da1
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xbc237b4c5cafcaff610b5235e77444c3294d6794e94c5171a5a05ab77bd0dcac
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
up
0.000011
bitcoin-up-or-down-november-18-8am-et
Bitcoin Up or Down - November 18, 8AM ET
79,184,725
79,184,725
8e19f3c932d3f211427ddf28c7ad778ec97860e7
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x5a00229d5f665326e4786fa0915eb47ee07d0458cc6acbd6b8a0a0db2c8bbe74
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0.000006
ethereum-up-or-down-november-18-8am-et
Ethereum Up or Down - November 18, 8AM ET
79,184,739
79,184,739
a2e58288ee38f9992b83f068e9198555db3015f7
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x9799000ce1244ffb0edca18391a61925d6dc4db2d9245dbbe7d714d642ba62f2
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
ethereum-up-or-down-november-18-9am-et
Ethereum Up or Down - November 18, 9AM ET
79,186,449
79,652,034
a7a20088abe03b65b4f9a4dfa51eefa5a3fec2ab
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x3438b1da60b9901a69834ccd87a21e31e7c36f092114cb0495a719ada555a128
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
up
0.000014
bitcoin-up-or-down-november-18-9am-et
Bitcoin Up or Down - November 18, 9AM ET
79,186,707
79,186,707
fc697cdbcd8965f52efbbfd949d3fa44fff8b20e
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xcc722f4f4f62b158e29b40c60cf25771f324b05cb6e311d558dd7c2292825f53
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
ethereum-up-or-down-november-18-10am-et
Ethereum Up or Down - November 18, 10AM ET
79,187,956
79,816,732
a8a423f0134c84a6eb802dc5fb37e7019f6906cf
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x263fe20e03532419127a1d3aefddf0409adcee5dc6e24c43c14dffe9f889d10a
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-18-10am-et
Bitcoin Up or Down - November 18, 10AM ET
79,188,166
79,816,732
dcdf2eceb1804550d057068040657018fc2de39a
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x9d61adf396b91007802c5ce7a1bfc8988bcda529855d9db8b282147ca7bbaa15
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
ethereum-up-or-down-november-18-11am-et
Ethereum Up or Down - November 18, 11AM ET
79,189,839
79,652,038
e3b909a516a2970315a646b1f4ba5ceff6657261
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x1af8d79861c1d8ce19fba102a419460dec9412ee4028b33c54fc4e209192f723
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-18-11am-et
Bitcoin Up or Down - November 18, 11AM ET
79,189,953
79,652,036
f9b3f807f24a9d75f84d198152833445b69315e4
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x8d79d490e59fca309333aef148c87fa6edf9e27703ea0101da9462ed462a713a
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
ethereum-up-or-down-november-18-12pm-et
Ethereum Up or Down - November 18, 12PM ET
79,191,821
79,191,821
b748cbef04c98ce0fc195c3cd5af71f27e6e9530
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x4704093c0cdb1cece1c7ed4a18ab588bf09db27e7c998f4fc8daf276b9e05772
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-18-12pm-et
Bitcoin Up or Down - November 18, 12PM ET
79,191,866
79,191,866
ef7d46fc052c3a9ed93e3a1e0206a14d379131d4
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xe7c30758374a201f4c88f7fe7fcb6bc07d46e8332c963f2595f1272070392834
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
ethereum-up-or-down-november-18-1pm-et
Ethereum Up or Down - November 18, 1PM ET
79,193,547
79,816,732
d6c71a7ae75b037fb7bcff71af771f933f39ad85
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xaa16bd8253f3c2a23dc98c395414460ab5a0c35832b5715cc3daf3fa68131f0c
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: Bitcoin Up or Down - November 17, 3AM ET | Event: bitcoin-up-or-down-november-17-3am-et | Choice: down | Confidence: 1.1197515561406797e-05 2. Question: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 ...
down
0
bitcoin-up-or-down-november-18-1pm-et
Bitcoin Up or Down - November 18, 1PM ET
79,193,695
79,652,033
d46e0dbd51c351cb82ef0508792c3d3c67dfa24e
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xfd97ade689d75a6f02713534f790faf84613a4fb55c747933537449c08093598
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: Bitcoin Up or Down - November 17, 4AM ET | Event: bitcoin-up-or-down-november-17-4am-et | Choice: down | Confidence: 1.2406324649649995e-05 2. Question: Bitcoin Up or Down - November 17, 8AM ET | Event: bitcoin-up-or-down-november-17-8am-et | Choice: down | Confidence: 0.000105323591890771 3....
down
0
ethereum-up-or-down-november-18-2pm-et
Ethereum Up or Down - November 18, 2PM ET
79,195,347
79,195,347
f6db868e955730b9c85e2d669f1ba6c5f8a3433e
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x627678aeba9233d299dc62c9fe9693cb9e0e84f32be1e52f16f5ac4a5c82bd55
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: Bitcoin Up or Down - November 17, 8AM ET | Event: bitcoin-up-or-down-november-17-8am-et | Choice: down | Confidence: 0.000105323591890771 2. Question: Bitcoin Up or Down - November 17, 9AM ET | Event: bitcoin-up-or-down-november-17-9am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin ...
down
0.000006
bitcoin-up-or-down-november-18-2pm-et
Bitcoin Up or Down - November 18, 2PM ET
79,195,460
79,195,460
74dc734cafdc6e477716dd8f11fb5e2a1c6c411d
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xcad54cc3272e3680e69b47dde1d2c126324ef8b5820fba7c3a303862a5bb512a
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: Bitcoin Up or Down - November 17, 9AM ET | Event: bitcoin-up-or-down-november-17-9am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - November 17, 10AM ET | Event: bitcoin-up-or-down-november-17-10am-et | Choice: up | Confidence: 2.2088993659989843e-05 3. Question: Bitcoi...
down
0
ethereum-up-or-down-november-18-3pm-et
Ethereum Up or Down - November 18, 3PM ET
79,197,173
79,197,173
96e6cbac84f9a6636d6c83e73a6f2a270b532ab1
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x5216410777efe926ce2996f74b73ed25eebb4ee726af155ede4aaf56a9a754c1
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: Bitcoin Up or Down - November 17, 10AM ET | Event: bitcoin-up-or-down-november-17-10am-et | Choice: up | Confidence: 2.2088993659989843e-05 2. Question: Bitcoin Up or Down - November 17, 11AM ET | Event: bitcoin-up-or-down-november-17-11am-et | Choice: up | Confidence: 8.086612641066347e-06 3...
down
0
bitcoin-up-or-down-november-18-3pm-et
Bitcoin Up or Down - November 18, 3PM ET
79,197,263
79,197,263
09575194d36bd163fb47ddd610b016f5d4d107b4
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x9514b0830d634ac940cd0d5294b51271265cb83e7718d27f3f72fd84be770f61
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: Bitcoin Up or Down - November 17, 11AM ET | Event: bitcoin-up-or-down-november-17-11am-et | Choice: up | Confidence: 8.086612641066347e-06 2. Question: Bitcoin Up or Down - November 18, 12AM ET | Event: bitcoin-up-or-down-november-18-12am-et | Choice: down | Confidence: 0.0 3. Question: Bitco...
down
0
ethereum-up-or-down-november-18-4pm-et
Ethereum Up or Down - November 18, 4PM ET
79,198,960
79,199,002
3ea40edf4ce34953f7aea7c803e27f385ad2361f
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x96356bdff941cf2af997d7575cee414806522c546d100c0df98f51b9a0997476
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: Bitcoin Up or Down - November 18, 12AM ET | Event: bitcoin-up-or-down-november-18-12am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - November 18, 3AM ET | Event: bitcoin-up-or-down-november-18-3am-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - N...
down
0
bitcoin-up-or-down-november-18-4pm-et
Bitcoin Up or Down - November 18, 4PM ET
79,199,021
79,199,021
8b3f283aa16b839bc8121d12f4391d75e411b0bb
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x8c26345d6cd8d7c15b97a72284a7df115990cb0dd25023a036a66a92b8a12520
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: Bitcoin Up or Down - November 18, 3AM ET | Event: bitcoin-up-or-down-november-18-3am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - November 18, 3AM ET | Event: ethereum-up-or-down-november-18-3am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - No...
down
0
bitcoin-up-or-down-november-18-5pm-et
Bitcoin Up or Down - November 18, 5PM ET
79,200,809
79,816,732
49444182cedb8c8084b12d72fb18fe4c31c0242d
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xfc700e7ea7c2efdfd9d81e4004027cefb418d67de37464a357e429e54a600072
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: Ethereum Up or Down - November 18, 3AM ET | Event: ethereum-up-or-down-november-18-3am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - November 17, 10PM ET | Event: bitcoin-up-or-down-november-17-10pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - ...
down
0
ethereum-up-or-down-november-18-5pm-et
Ethereum Up or Down - November 18, 5PM ET
79,200,829
79,652,038
1c794d517385f9e02a2f0a4eab5a14221a6a1313
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x97fdbdd6347dcf3cae180821865cac664207fe2c4e6a24dd6c357d00a50c1d51
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: Bitcoin Up or Down - November 17, 10PM ET | Event: bitcoin-up-or-down-november-17-10pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - November 17, 11PM ET | Event: bitcoin-up-or-down-november-17-11pm-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - ...
down
0
bitcoin-up-or-down-november-18-6pm-et
Bitcoin Up or Down - November 18, 6PM ET
79,202,689
79,202,689
b8401d9fec9293f8674aa64317ff5c95c465d14e
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x00539845f4cf86b020e8e67472951b6098c88f4e601be42d84d6b0619c76e42b
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: Bitcoin Up or Down - November 17, 11PM ET | Event: bitcoin-up-or-down-november-17-11pm-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - November 18, 4AM ET | Event: bitcoin-up-or-down-november-18-4am-et | Choice: down | Confidence: 0.0 3. Question: Ethereum Up or Down - N...
down
0
ethereum-up-or-down-november-18-6pm-et
Ethereum Up or Down - November 18, 6PM ET
79,202,781
79,202,781
568cc13d6248f7c167bd76e06a9b5a69bf8f3ded
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xeb3452f0e0d5480d14bc1a98e02b1269ca3e6ace27ac57ab2c9f9a4d122035da
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: Bitcoin Up or Down - November 18, 4AM ET | Event: bitcoin-up-or-down-november-18-4am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - November 18, 4AM ET | Event: ethereum-up-or-down-november-18-4am-et | Choice: down | Confidence: 0.0 3. Question: Bitcoin Up or Down - No...
down
0
bitcoin-up-or-down-november-18-7pm-et
Bitcoin Up or Down - November 18, 7PM ET
79,204,034
79,204,034
0790b559577a59f45e6389ae34fea8de4b03231e
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0xc9b6e5c59ccbb4b42249542a38f7dbcabe197a2580c94bdbf3518d12e9d51342
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: Ethereum Up or Down - November 18, 4AM ET | Event: ethereum-up-or-down-november-18-4am-et | Choice: down | Confidence: 0.0 2. Question: Bitcoin Up or Down - November 18, 5AM ET | Event: bitcoin-up-or-down-november-18-5am-et | Choice: up | Confidence: 2.768239496828506e-06 3. Question: Ethereu...
down
0
ethereum-up-or-down-november-18-7pm-et
Ethereum Up or Down - November 18, 7PM ET
79,204,051
79,204,051
f4c2103345f13693fd1f76714060842df0e99f3d
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x6a1dca02e5016aba7a5fca318adc4e85d6706d689e44255ac7edadef2859fbc8
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: Bitcoin Up or Down - November 18, 5AM ET | Event: bitcoin-up-or-down-november-18-5am-et | Choice: up | Confidence: 2.768239496828506e-06 2. Question: Ethereum Up or Down - November 18, 5AM ET | Event: ethereum-up-or-down-november-18-5am-et | Choice: down | Confidence: 7.885654576510589e-07 3....
down
0
bitcoin-up-or-down-november-20-3am-et
Bitcoin Up or Down - November 20, 3AM ET
79,262,922
79,271,150
e3c880171d9be58279357c5574fe2d7564666697
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x0b09d5c1e8f012240fd6d2bbaf23a708f6edee830d7801243bdf71f2a3ac96a0
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: Ethereum Up or Down - November 18, 5AM ET | Event: ethereum-up-or-down-november-18-5am-et | Choice: down | Confidence: 7.885654576510589e-07 2. Question: Bitcoin Up or Down - November 18, 6AM ET | Event: bitcoin-up-or-down-november-18-6am-et | Choice: down | Confidence: 0.0 3. Question: Ether...
down
0
bitcoin-up-or-down-november-20-4am-et
Bitcoin Up or Down - November 20, 4AM ET
79,262,936
79,266,169
37ee7fc3ab9d79ae6619a77aa3563fd296d8b05b
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x788f86831d5c7de48f5f423c0f55bae8ee747f2706d9195914d3fafc591ede83
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: Bitcoin Up or Down - November 18, 6AM ET | Event: bitcoin-up-or-down-november-18-6am-et | Choice: down | Confidence: 0.0 2. Question: Ethereum Up or Down - November 18, 6AM ET | Event: ethereum-up-or-down-november-18-6am-et | Choice: up | Confidence: 1.2657432935853423e-05 3. Question: Bitcoi...
down
0
bitcoin-up-or-down-november-20-9am-et
Bitcoin Up or Down - November 20, 9AM ET
79,271,803
79,272,527
ef27028e2c81fefd4b006bc81e3bb0118ed3f86e
0x095fe541c04808b5d2d878e7a9a130d72c0e9909
0x760f08d44f85831467065434e40dbc55c95d77ebb057a082e208288cf2c2f4be
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: Ethereum Up or Down - November 18, 6AM ET | Event: ethereum-up-or-down-november-18-6am-et | Choice: up | Confidence: 1.2657432935853423e-05 2. Question: Bitcoin Up or Down - November 18, 7AM ET | Event: bitcoin-up-or-down-november-18-7am-et | Choice: down | Confidence: 0.0 3. Question: Ethere...
down
0
bitcoin-up-or-down-november-20-10am-et
Bitcoin Up or Down - November 20, 10AM ET
79,273,281
79,652,110
4de9e3261befc607e3cd1d3e62f0787831f76204
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0xc6485bb7ea46d7bb89beb9c91e7572ecfc72a6273789496f78bc5e989e4d1638
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 Kamala Harris win the 2024 US Presidential Election? Event: presidential-election-winner-2024 Predict the user's choice and confidence for the target market. Output strict JSON: {"choice": ..., "confidence": ..., "rationale": ...}
yes
1
presidential-election-winner-2024
Will Kamala Harris win the 2024 US Presidential Election?
64,120,448
64,120,448
4a5d97c5f59a477bcc8d0af7e15f02e23e3bb4cd
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0xb41303fef1fad2465522ed3d9a0d26d7593733e3b567d7888b981056b33865df
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 Target market: Question: Will Jake Paul vs. Mike Tyson have no official winner? Event: jake-paul-vs-mike-tyson-who-will-win Predict the user's choice and conf...
yes
1
jake-paul-vs-mike-tyson-who-will-win
Will Jake Paul vs. Mike Tyson have no official winner?
64,363,266
64,363,266
3b1a8cd83774e7990d4d2af03cbd265c5cd2adc0
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x581375f8ccc080c949d7dbbc2af80ddee38c849f86401b38bb00502dd901bf63
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 Target market...
yes
1
game-of-the-year-2024
Will 'Final Fantasy 7 Rebirth' win Game of the Year?
65,434,591
65,434,591
060b1a5999738829d7b1f3c99718e536ea01d2ca
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x65be1e6759ce4b850c4944d3265853290000c6577d42b8eb0a481e4d440b022a
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
game-of-the-year-2024
Will another game win Game of the Year?
65,434,591
65,434,591
18e83841572fc53d64ee9ebca143b2dee431ede4
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x288500c71799fe8e468b24d9f68356d22ddcc9b3470cac309c69edef202b1e34
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
no
1
kraven-the-hunter-opening-weekend-box-office
Will 'Kraven the Hunter' gross less than $16m on 3-day opening weekend?
65,577,670
65,577,670
4928c2453a84f4bc90c23ae6a27b82b7e22109e1
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x0ba973b06865c78d6423a91f6971bff776b80f1b9b76b6f0dbdeca3f212d68a4
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
sonic-3-opening-weekend-box-office
Will 'Sonic 3' gross between $64-72m on 3-day opening weekend?
65,851,265
65,851,265
bd010fdc652ea4a591c0286376bbf7eae9236601
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x613fad43c73b5f2469b971c4c7e6be2050a6a51d619363107ee0673bb1420696
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
attempts-kai-and-speed-need-to-beat-fortnite
Will Kai and Speed win Fortnite in 50-74 tries?
66,038,764
66,038,764
0f861fa26faba43cc53f9bb60231ef8636a057ba
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0xc0d35b5eb721300f8cc66152ca0807e973d11fe5b18bf6ebdfe4ade541b013b6
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
attempts-kai-and-speed-need-to-beat-fortnite
Will Kai and Speed win Fortnite in 21-49 tries?
66,038,764
66,038,764
2932c0dd8cf40d7f242dcbcdfac6118013435ee0
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x83be3a3bcb90828fc62d7ccc483aeb19eb48f82b00a2805f30e5676fb172b868
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
attempts-kai-and-speed-need-to-beat-fortnite
Will Kai and Speed win Fortnite in 75-99 tries?
66,068,976
66,068,976
550c6fb6c2f12f4d97163ec640db966c413d567d
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0xcbcf82d0511725c0363ace562977955a8a53dd49af212ab5de93d612bb5a0800
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
no
1
steam-awards-labor-of-love
Will 'Stardew Valley' win Labor of Love in the 2024 Steam Awards?
66,122,931
66,122,931
88ac68fcb37cda7368f96d1a6af38c1c0a06e967
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x10adf7acb35da349caf13ab8d71a0afa661258f37f12ad3d82592696042f08ac
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
speaker-of-the-house-for-the-119th-congress
Will Hakeem Jeffries be the first elected Speaker of the House for the 119th congress?
66,274,574
66,274,574
2bc6b702caf95f63b9b8f593013007c739fafb76
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x49d173fc7117c7491a918f084c6e9d7e7e110f3caf3aeaa2f5be9edaf3555a21
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
how-many-votes-will-mike-johnson-get-on-first-ballot
216 votes for Mike Johnson to be Speaker on first ballot?
66,274,574
66,274,574
a589e2c2701714df3961b04aa430d35529a50ae0
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x5a1e72141a55f2dce6ad8345d6113965e11d9159085ab512b8be9efa428c4ad5
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
how-many-votes-will-mike-johnson-get-on-first-ballot
220 or more votes for Mike Johnson to be Speaker on first ballot?
66,274,574
66,274,574
df2f7cdf5dd5d6854ddc8dcc5d1bc87fae53171f
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0xbdaf44f7a53e1e1783ed905ae3e3c5b6527e88d9a2900fba58637bd70b0e2ceb
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
no
1
how-many-votes-will-mike-johnson-get-on-first-ballot
218 votes for Mike Johnson to be Speaker on first ballot?
66,274,574
66,274,574
e4243c45c2744976aad080cc012cd1797df20d76
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x504e795d361636416cbb9f47f16b8b9b8d2ad5198ccd8d7dff14bb9482eb5563
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
golden-globes-best-musical-or-comedy
Will 'Wicked' win the Golden Globe for Best Musical or Comedy?
66,372,497
66,372,497
b1c4ff3810dfe76b6d76b1f673081fadae05a170
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0xa548a32dc6ee00de49f8bcb178e281b977b7314a91eaac0f39feb1e623632578
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
golden-globes-best-musical-or-comedy
Will 'Anora' win the Golden Globe for Best Musical or Comedy?
66,372,497
66,372,497
1b538c90d9e8c55a4eb2a6f7de25a5944cf584c7
0x09705c0b0a5a7359f5c94688687fc73447e65ae4
0x476aa256b781b5006306e3fe7caae37db555b1f6e41b2968d8afe76fb19bce29
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 Kamala Harris win the 2024 US Presidential Election? | Event: presidential-election-winner-2024 | Choice: yes | Confidence: 1.0 2. Question: Will Jake Paul vs. Mike Tyson have no official winner? | Event: jake-paul-vs-mike-tyson-who-will-win | Choice: yes | Confidence: 1.0 3. Question: W...
yes
1
how-many-people-will-watch-trump-inauguration
Will 26-29m people watch Trump inauguration?
66,992,582
66,992,582