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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
market_id: string
event_id: string
question: string
categories: list<item: string>
child 0, item: string
sample_type: string
before: struct<t: double, p: double>
child 0, t: double
child 1, p: double
after: struct<t: double, p: double>
child 0, t: double
child 1, p: double
change: double
z_score: double
window_start: double
window_end: double
window_history: list<item: struct<t: double, p: double>>
child 0, item: struct<t: double, p: double>
child 0, t: double
child 1, p: double
news: list<item: struct<title: string, description: string, url: string, published_at: timestamp[s], sourc (... 11 chars omitted)
child 0, item: struct<title: string, description: string, url: string, published_at: timestamp[s], source: string>
child 0, title: string
child 1, description: string
child 2, url: string
child 3, published_at: timestamp[s]
child 4, source: string
attributions: list<item: struct<news_idx: int64, score: double>>
child 0, item: struct<news_idx: int64, score: double>
child 0, news_idx: int64
child 1, score: double
news_count: int64
source_path: string
line_number: int64
current_p: double
pre_delta_p: double
max_attribution: double
controls: list<item: struct<sample_id: string, line_number: int64, market_id: string, event_id: string, questi (... 265 chars omitted)
child 0, item: struct<sample_id: string, line_number: int64, market_id: string, event_id: string, question: string, (... 253 chars omitted)
...
ample_id: string
child 1, line_number: int64
child 2, market_id: string
child 3, event_id: string
child 4, question: string
child 5, platform: string
child 6, categories: list<item: string>
child 0, item: string
child 7, date: timestamp[s]
child 8, timestamp: double
child 9, current_p: double
child 10, target_p: double
child 11, delta_p: double
child 12, delta_logit: double
child 13, pre_delta_p: double
child 14, max_attribution: double
child 15, news_count: int64
child 16, match_distance: double
delta_logit: double
timestamp: double
did: struct<effect_p: double, effect_logit: double, direction_p: string, direction_logit: string, neutral (... 40 chars omitted)
child 0, effect_p: double
child 1, effect_logit: double
child 2, direction_p: string
child 3, direction_logit: string
child 4, neutral_threshold: double
child 5, reliability: double
sample_id: string
platform: string
target_p: double
date: timestamp[s]
delta_p: double
control_summary: struct<count: int64, delta_p_mean: double, delta_p_median: double, delta_p_sd: double, delta_logit_m (... 119 chars omitted)
child 0, count: int64
child 1, delta_p_mean: double
child 2, delta_p_median: double
child 3, delta_p_sd: double
child 4, delta_logit_mean: double
child 5, delta_logit_median: double
child 6, pre_delta_p_mean: double
child 7, pretrend_error: double
child 8, mean_match_distance: double
to
{'sample_id': Value('string'), 'source_path': Value('string'), 'line_number': Value('int64'), 'market_id': Value('string'), 'event_id': Value('string'), 'question': Value('string'), 'platform': Value('string'), 'categories': List(Value('string')), 'sample_type': Value('string'), 'date': Value('timestamp[s]'), 'timestamp': Value('float64'), 'current_p': Value('float64'), 'target_p': Value('float64'), 'delta_p': Value('float64'), 'delta_logit': Value('float64'), 'pre_delta_p': Value('float64'), 'max_attribution': Value('float64'), 'news_count': Value('int64'), 'control_summary': {'count': Value('int64'), 'delta_p_mean': Value('float64'), 'delta_p_median': Value('float64'), 'delta_p_sd': Value('float64'), 'delta_logit_mean': Value('float64'), 'delta_logit_median': Value('float64'), 'pre_delta_p_mean': Value('float64'), 'pretrend_error': Value('float64'), 'mean_match_distance': Value('float64')}, 'did': {'effect_p': Value('float64'), 'effect_logit': Value('float64'), 'direction_p': Value('string'), 'direction_logit': Value('string'), 'neutral_threshold': Value('float64'), 'reliability': Value('float64')}, 'controls': List({'sample_id': Value('string'), 'line_number': Value('int64'), 'market_id': Value('string'), 'event_id': Value('string'), 'question': Value('string'), 'platform': Value('string'), 'categories': List(Value('string')), 'date': Value('timestamp[s]'), 'timestamp': Value('float64'), 'current_p': Value('float64'), 'target_p': Value('float64'), 'delta_p': Value('float64'), 'delta_logit': Value('float64'), 'pre_delta_p': Value('float64'), 'max_attribution': Value('float64'), 'news_count': Value('int64'), 'match_distance': Value('float64')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
market_id: string
event_id: string
question: string
categories: list<item: string>
child 0, item: string
sample_type: string
before: struct<t: double, p: double>
child 0, t: double
child 1, p: double
after: struct<t: double, p: double>
child 0, t: double
child 1, p: double
change: double
z_score: double
window_start: double
window_end: double
window_history: list<item: struct<t: double, p: double>>
child 0, item: struct<t: double, p: double>
child 0, t: double
child 1, p: double
news: list<item: struct<title: string, description: string, url: string, published_at: timestamp[s], sourc (... 11 chars omitted)
child 0, item: struct<title: string, description: string, url: string, published_at: timestamp[s], source: string>
child 0, title: string
child 1, description: string
child 2, url: string
child 3, published_at: timestamp[s]
child 4, source: string
attributions: list<item: struct<news_idx: int64, score: double>>
child 0, item: struct<news_idx: int64, score: double>
child 0, news_idx: int64
child 1, score: double
news_count: int64
source_path: string
line_number: int64
current_p: double
pre_delta_p: double
max_attribution: double
controls: list<item: struct<sample_id: string, line_number: int64, market_id: string, event_id: string, questi (... 265 chars omitted)
child 0, item: struct<sample_id: string, line_number: int64, market_id: string, event_id: string, question: string, (... 253 chars omitted)
...
ample_id: string
child 1, line_number: int64
child 2, market_id: string
child 3, event_id: string
child 4, question: string
child 5, platform: string
child 6, categories: list<item: string>
child 0, item: string
child 7, date: timestamp[s]
child 8, timestamp: double
child 9, current_p: double
child 10, target_p: double
child 11, delta_p: double
child 12, delta_logit: double
child 13, pre_delta_p: double
child 14, max_attribution: double
child 15, news_count: int64
child 16, match_distance: double
delta_logit: double
timestamp: double
did: struct<effect_p: double, effect_logit: double, direction_p: string, direction_logit: string, neutral (... 40 chars omitted)
child 0, effect_p: double
child 1, effect_logit: double
child 2, direction_p: string
child 3, direction_logit: string
child 4, neutral_threshold: double
child 5, reliability: double
sample_id: string
platform: string
target_p: double
date: timestamp[s]
delta_p: double
control_summary: struct<count: int64, delta_p_mean: double, delta_p_median: double, delta_p_sd: double, delta_logit_m (... 119 chars omitted)
child 0, count: int64
child 1, delta_p_mean: double
child 2, delta_p_median: double
child 3, delta_p_sd: double
child 4, delta_logit_mean: double
child 5, delta_logit_median: double
child 6, pre_delta_p_mean: double
child 7, pretrend_error: double
child 8, mean_match_distance: double
to
{'sample_id': Value('string'), 'source_path': Value('string'), 'line_number': Value('int64'), 'market_id': Value('string'), 'event_id': Value('string'), 'question': Value('string'), 'platform': Value('string'), 'categories': List(Value('string')), 'sample_type': Value('string'), 'date': Value('timestamp[s]'), 'timestamp': Value('float64'), 'current_p': Value('float64'), 'target_p': Value('float64'), 'delta_p': Value('float64'), 'delta_logit': Value('float64'), 'pre_delta_p': Value('float64'), 'max_attribution': Value('float64'), 'news_count': Value('int64'), 'control_summary': {'count': Value('int64'), 'delta_p_mean': Value('float64'), 'delta_p_median': Value('float64'), 'delta_p_sd': Value('float64'), 'delta_logit_mean': Value('float64'), 'delta_logit_median': Value('float64'), 'pre_delta_p_mean': Value('float64'), 'pretrend_error': Value('float64'), 'mean_match_distance': Value('float64')}, 'did': {'effect_p': Value('float64'), 'effect_logit': Value('float64'), 'direction_p': Value('string'), 'direction_logit': Value('string'), 'neutral_threshold': Value('float64'), 'reliability': Value('float64')}, 'controls': List({'sample_id': Value('string'), 'line_number': Value('int64'), 'market_id': Value('string'), 'event_id': Value('string'), 'question': Value('string'), 'platform': Value('string'), 'categories': List(Value('string')), 'date': Value('timestamp[s]'), 'timestamp': Value('float64'), 'current_p': Value('float64'), 'target_p': Value('float64'), 'delta_p': Value('float64'), 'delta_logit': Value('float64'), 'pre_delta_p': Value('float64'), 'max_attribution': Value('float64'), 'news_count': Value('int64'), 'match_distance': Value('float64')})}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1348, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
sample_id string | source_path string | line_number int64 | market_id string | event_id string | question string | platform string | categories list | sample_type string | date timestamp[s] | timestamp float64 | current_p float64 | target_p float64 | delta_p float64 | delta_logit float64 | pre_delta_p float64 | max_attribution float64 | news_count int64 | control_summary dict | did dict | controls list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
500105|10018|1718946003 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 2 | 500105 | 10018 | Will a Democrat win Nevada US Senate Election? | polymarket | [
"Politics",
"Election"
] | breakpoint | 2024-06-21T00:00:00 | 1,718,946,003 | 0.535 | 0.575 | 0.04 | 0.162052 | 0 | 0.9 | 14 | {
"count": 3,
"delta_p_mean": -0.056833333333333326,
"delta_p_median": -0.04999999999999993,
"delta_p_sd": 0.057155246672744055,
"delta_logit_mean": -0.23126589422536795,
"delta_logit_median": -0.20544886154952513,
"pre_delta_p_mean": 0.0015000000000000198,
"pretrend_error": 0.0018333333333333164,
"me... | {
"effect_p": 0.09683333333333324,
"effect_logit": 0.39331742478965115,
"direction_p": "up",
"direction_logit": "up",
"neutral_threshold": 0.02,
"reliability": 0.7109405016352429
} | [
{
"sample_id": "255335|903089|1718946003",
"line_number": 5592,
"market_id": "255335",
"event_id": "903089",
"question": "Fed rate cut by September 18?",
"platform": "polymarket",
"categories": [
"Politics"
],
"date": "2024-06-21T00:00:00",
"timestamp": 1718946003,
... |
500106|10018|1729573202 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 19 | 500106 | 10018 | Will a Republican win Nevada US Senate Election? | polymarket | [
"Politics",
"Election"
] | breakpoint | 2024-10-22T00:00:00 | 1,729,573,202 | 0.13 | 0.18 | 0.05 | 0.384611 | 0 | 0.8 | 40 | {
"count": 16,
"delta_p_mean": 0.001468749999999999,
"delta_p_median": -0.0004999999999999991,
"delta_p_sd": 0.012368645780258241,
"delta_logit_mean": 0.11458640020748663,
"delta_logit_median": -0.031523148981703164,
"pre_delta_p_mean": -0.00034375,
"pretrend_error": 0.0024062499999999995,
"mean_match... | {
"effect_p": 0.04853124999999999,
"effect_logit": 0.27002487161747174,
"direction_p": "up",
"direction_logit": "up",
"neutral_threshold": 0.02,
"reliability": 0.9018594899741226
} | [
{
"sample_id": "505470|12132|1729573202",
"line_number": 7610,
"market_id": "505470",
"event_id": "12132",
"question": "Will Harris publicly support tax on unrealized gains?",
"platform": "polymarket",
"categories": [
"Politics"
],
"date": "2024-10-22T00:00:00",
"timest... |
500106|10018|1731045602 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 20 | 500106 | 10018 | Will a Republican win Nevada US Senate Election? | polymarket | [
"Politics",
"Election"
] | breakpoint | 2024-11-08T00:00:00 | 1,731,045,602 | 0.225 | 0.013 | -0.212 | -3.092958 | 0.035 | 1 | 100 | {
"count": 3,
"delta_p_mean": -0.04200000000000001,
"delta_p_median": -0.05500000000000002,
"delta_p_sd": 0.026928918780126817,
"delta_logit_mean": -0.5179090778594285,
"delta_logit_median": -0.3047847415169842,
"pre_delta_p_mean": 0.029666666666666675,
"pretrend_error": 0.029666666666666664,
"mean_ma... | {
"effect_p": -0.16999999999999998,
"effect_logit": -2.5750489769635894,
"direction_p": "down",
"direction_logit": "down",
"neutral_threshold": 0.02,
"reliability": 0.6301613157212934
} | [
{
"sample_id": "506044|12282|1731045602",
"line_number": 7731,
"market_id": "506044",
"event_id": "12282",
"question": "Pavel Durov leaves France in 2024?",
"platform": "polymarket",
"categories": [
"Politics"
],
"date": "2024-11-08T00:00:00",
"timestamp": 1731045602,
... |
500109|10019|1722229202 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 43 | 500109 | 10019 | Will a Republican win Pennsylvania US Senate Election? | polymarket | [
"Politics",
"Election"
] | breakpoint | 2024-07-29T00:00:00 | 1,722,229,202 | 0.125 | 0.21 | 0.085 | 0.620985 | -0.01 | 0.9 | 50 | {
"count": 12,
"delta_p_mean": -0.0011249999999999993,
"delta_p_median": 0,
"delta_p_sd": 0.003714414489525907,
"delta_logit_mean": -0.00923118378127552,
"delta_logit_median": 0,
"pre_delta_p_mean": 0.00016666666666666674,
"pretrend_error": 0.010166666666666676,
"mean_match_distance": 0.75666666666666... | {
"effect_p": 0.086125,
"effect_logit": 0.6302159180929903,
"direction_p": "up",
"direction_logit": "up",
"neutral_threshold": 0.02,
"reliability": 0.8815021818479513
} | [
{
"sample_id": "501491|10607|1722229202",
"line_number": 1459,
"market_id": "501491",
"event_id": "10607",
"question": "Will a Democrat win Vermont Governor Election?",
"platform": "polymarket",
"categories": [
"Politics"
],
"date": "2024-07-29T00:00:00",
"timestamp": 1... |
500109|10019|1729227603 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 45 | 500109 | 10019 | Will a Republican win Pennsylvania US Senate Election? | polymarket | [
"Politics",
"Election"
] | breakpoint | 2024-10-18T00:00:00 | 1,729,227,603 | 0.245 | 0.32 | 0.075 | 0.371688 | 0.005 | 0.9 | 87 | {
"count": 6,
"delta_p_mean": 0.016666666666666653,
"delta_p_median": -0.0025000000000000022,
"delta_p_sd": 0.11429737043733282,
"delta_logit_mean": 0.034291390758789064,
"delta_logit_median": -0.02038789641820582,
"pre_delta_p_mean": 0.004166666666666675,
"pretrend_error": 0.005833333333333334,
"mean... | {
"effect_p": 0.05833333333333336,
"effect_logit": 0.3373963455691287,
"direction_p": "up",
"direction_logit": "up",
"neutral_threshold": 0.02,
"reliability": 0.535382993962003
} | [
{
"sample_id": "508431|12942|1729227603",
"line_number": 8359,
"market_id": "508431",
"event_id": "12942",
"question": "Israel military action against Yemen before November?",
"platform": "polymarket",
"categories": [
"Politics"
],
"date": "2024-10-18T00:00:00",
"timest... |
500112|10020|1723093201 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 69 | 500112 | 10020 | Will a Republican win Wisconsin US Senate Election? | polymarket | [
"Politics",
"Election"
] | breakpoint | 2024-08-08T00:00:00 | 1,723,093,201 | 0.245 | 0.145 | -0.1 | -0.648908 | 0.01 | 0.9 | 87 | {
"count": 4,
"delta_p_mean": 0.14625,
"delta_p_median": 0.0925,
"delta_p_sd": 0.17896839804837053,
"delta_logit_mean": 0.7010212549465733,
"delta_logit_median": 0.43164057608100737,
"pre_delta_p_mean": -0.0049999999999999906,
"pretrend_error": 0.015,
"mean_match_distance": 0.675
} | {
"effect_p": -0.24625,
"effect_logit": -1.3499294427584614,
"direction_p": "down",
"direction_logit": "down",
"neutral_threshold": 0.02,
"reliability": 0.3924577473997222
} | [
{
"sample_id": "503234|11413|1723093201",
"line_number": 2883,
"market_id": "503234",
"event_id": "11413",
"question": "Kemi Badenoch next Conservative party leader?",
"platform": "polymarket",
"categories": [
"Politics",
"Election"
],
"date": "2024-08-08T00:00:00",
... |
500112|10020|1729227603 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 70 | 500112 | 10020 | Will a Republican win Wisconsin US Senate Election? | polymarket | [
"Politics",
"Election"
] | breakpoint | 2024-10-18T00:00:00 | 1,729,227,603 | 0.265 | 0.32 | 0.055 | 0.266369 | 0.03 | 0.9 | 86 | {
"count": 6,
"delta_p_mean": 0.016666666666666653,
"delta_p_median": -0.0025000000000000022,
"delta_p_sd": 0.11429737043733282,
"delta_logit_mean": 0.034291390758789064,
"delta_logit_median": -0.02038789641820582,
"pre_delta_p_mean": 0.004166666666666675,
"pretrend_error": 0.02583333333333335,
"mean_... | {
"effect_p": 0.038333333333333344,
"effect_logit": 0.23207748009144535,
"direction_p": "up",
"direction_logit": "up",
"neutral_threshold": 0.02,
"reliability": 0.4383345218316553
} | [
{
"sample_id": "508431|12942|1729227603",
"line_number": 8359,
"market_id": "508431",
"event_id": "12942",
"question": "Israel military action against Yemen before November?",
"platform": "polymarket",
"categories": [
"Politics"
],
"date": "2024-10-18T00:00:00",
"timest... |
500114|10021|1719550802 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 80 | 500114 | 10021 | Will a Democrat win Montana US Senate Election? | polymarket | [
"Politics",
"Election"
] | breakpoint | 2024-06-28T00:00:00 | 1,719,550,802 | 0.435 | 0.325 | -0.11 | -0.469408 | 0 | 0.7 | 13 | {
"count": 3,
"delta_p_mean": -0.06833333333333333,
"delta_p_median": 0,
"delta_p_sd": 0.09663792676216149,
"delta_logit_mean": -0.32112850048611413,
"delta_logit_median": 0,
"pre_delta_p_mean": 0,
"pretrend_error": 0,
"mean_match_distance": 0.40000000000000013
} | {
"effect_p": -0.04166666666666666,
"effect_logit": -0.14827930799892153,
"direction_p": "down",
"direction_logit": "down",
"neutral_threshold": 0.02,
"reliability": 0.6081789689411734
} | [
{
"sample_id": "502157|10945|1719550802",
"line_number": 2145,
"market_id": "502157",
"event_id": "10945",
"question": "NYC congestion pricing before election?",
"platform": "polymarket",
"categories": [
"Politics"
],
"date": "2024-06-28T00:00:00",
"timestamp": 17195508... |
500344|10091|1718773204 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 142 | 500344 | 10091 | Court temporarily allows Texas to arrest migrants? | polymarket | [
"Politics"
] | breakpoint | 2024-06-19T00:00:00 | 1,718,773,204 | 0.53 | 0.425 | -0.105 | -0.422425 | 0 | 0.8 | 100 | {
"count": 3,
"delta_p_mean": 0,
"delta_p_median": 0,
"delta_p_sd": 0,
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"direction_logit": "down",
"neutral_threshold": 0.02,
"reliability": 0.4211402996988968
} | [
{
"sample_id": "503992|11652|1724821202",
"line_number": 3054,
"market_id": "503992",
"event_id": "11652",
"question": "VP debate before election?",
"platform": "polymarket",
"categories": [
"Politics",
"Election"
],
"date": "2024-08-28T00:00:00",
"timestamp": 172... |
500622|10219|1724821202 | dataset/prediction-market-news/polymarket/polymarket_data_processed_with_news_attributed_train_2025-11-01.jsonl | 432 | 500622 | 10219 | Will a Republican win Maryland US Senate Election? | polymarket | [
"Politics"
] | breakpoint | 2024-08-28T00:00:00 | 1,724,821,202 | 0.085 | 0.195 | 0.11 | 0.95843 | 0 | 0.9 | 40 | {
"count": 14,
"delta_p_mean": -0.00007142857142857078,
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"delta_p_sd": 0.002808514750191072,
"delta_logit_mean": -0.05213121865479785,
"delta_logit_median": 0,
"pre_delta_p_mean": -0.002214285714285715,
"pretrend_error": 0.003214285714285715,
"mean_match_distance": 0.53690476190476... | {
"effect_p": 0.11007142857142857,
"effect_logit": 1.0105613085851861,
"direction_p": "up",
"direction_logit": "up",
"neutral_threshold": 0.02,
"reliability": 0.9505702958974825
} | [
{
"sample_id": "502031|10875|1724821202",
"line_number": 2041,
"market_id": "502031",
"event_id": "10875",
"question": "Fauci jail in 2024?",
"platform": "polymarket",
"categories": [
"Politics"
],
"date": "2024-08-28T00:00:00",
"timestamp": 1724821202,
"current_p":... |
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