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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: Float value 0.00704225 was truncated converting to int64
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2245, in cast_table_to_schema
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2246, in <listcomp>
cast_array_to_feature(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1795, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2005, in cast_array_to_feature
arrays = [
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2006, in <listcomp>
_c(array.field(name) if name in array_fields else null_array, subfeature)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2102, in cast_array_to_feature
return array_cast(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1797, in wrapper
return func(array, *args, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1949, in array_cast
return array.cast(pa_type)
File "pyarrow/array.pxi", line 996, in pyarrow.lib.Array.cast
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/compute.py", line 404, in cast
return call_function("cast", [arr], options, memory_pool)
File "pyarrow/_compute.pyx", line 590, in pyarrow._compute.call_function
File "pyarrow/_compute.pyx", line 385, in pyarrow._compute.Function.call
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Float value 0.00704225 was truncated converting to int64
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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, 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.
id
string | task_id
int64 | title
string | text
string | url
string | source_link
string | subsource_link
string | views
int64 | likes
int64 | create_time
int64 | crawl_time
int64 | vector
sequence | cluster_id
int64 | ners
list | emo
string | language
string | spam
string | statistics
dict | doc_length
int64 | source
dict | subsource
dict | marked_up
bool |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://t.me/sarpogoda/665?embed=1&mode=tme
| 123
|
Прогноз погоды в Саратовской области
с 16 по 18 марта
В Саратовской области сохранится температура воздуха близкая к климатической норме. Ночью до -9, а днём до +5 градусов. В воскресенье местами небольшой мокрый снег.
По данным ФГБУ "Приволжское УГМС"
|
https://t.me/sarpogoda/665?embed=1&mode=tme
|
https://t.me/
|
https://t.me/s/sarpogoda
| 1,700
| 0
| 1,710,515,852
| 1,732,800,861
|
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https://t.me/weather_voronezh/1524?embed=1&mode=tme
| 123
|
Прогноз на ближайшие дни:
◽
Чт, 28 нояб
💧
❄
−1...0°
◽
Пт, 29 нояб
☁
−2...0°
🚩
Сб, 30 нояб
☁
0...0°
🚩
Вс, 1 дек
☁
+1...+2°
◽
Пн, 2 дек
💧
❄
+1...+2°
◽
Вт, 3 дек
☁
0...+2°
◽
Ср, 4 дек
⛅
−1...+1°
|
https://t.me/weather_voronezh/1524?embed=1&mode=tme
|
https://t.me/
|
https://t.me/s/weather_voronezh
| 168
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| 1,732,717,483
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Сейчас −1°
Ощущается как −5°
Пасмурно
☁
В ближайшие 2 часа осадков не ожидается
По данным гидрометцентра России: местами туман
Почасовой прогноз от Яндекс,
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В 16 часов
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Закат в 16:19
В 17 часов
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В 18 часов
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−1° | 10%
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В 19 часов
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−1° | 10%
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В 20 часов
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−1° | 5%
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В 21 час
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В 22 часа
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В 23 часа
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https://t.me/irmeteo/2294?embed=1&mode=tme
| 123
|
🌤
ПРОГНОЗ ПОГОДЫ на 29 ноября
по области
Переменная облачность
🌤
, местами небольшой и умеренный мокрый снег и снег
🌨
, ночью в Усть-Кутском, Казачинско-Ленском и Мамско-Чуйском районах умеренный, местами сильный снег
🌨
, ветер с-з 5−10 м/с, местами порывы до 14 м/с, поземки
❄️
, в северных районах 15−20 м/с, метели, температура ночью -2,-7°, при прояснении -12,-17°, в северо-восточных районах -15,-20°, днем +2,-3°, при облачной погоде -8,-13°.
по Иркутску
Переменная облачность
🌤
, ночью небольшие осадки в виде мокрого снега и снега
🌨
, днем без существенных осадков, ветер с-з 5−10 м/с, температура ночью -3,-5°, днем 0,+2°.
по Братску
Переменная облачность
🌤
, небольшой снег
🌨
, ветер з, с-з 6−11 м/с, температура ночью -3,-5°, днем -2,-4°.
по Байкалу
Переменная облачность, небольшие, местами умеренные осадки в виде снега и мокрого снега
🌨
, ветер с-з 8−13 м/с, порывы 18−23 м/с, ночью и утром по югу и средней части местам порывы до 28 м/с, температура ночью 0,-5°, при прояснении до -10°, днём +3,-2°, местами до -5°.
|
https://t.me/irmeteo/2294?embed=1&mode=tme
|
https://t.me/
|
https://t.me/s/irmeteo
| 190
| 0
| 1,732,779,078
| 1,732,800,862
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https://t.me/meteo_kuzbass/1193?embed=1&mode=tme
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☀️
Прогноз погоды на завтра, 25 ноября, для Кузбасса и Кемерово
🔹
Кузбасс
Ночью: -7...-12°C, местами до -19°C.
Днем: -2...-7°C, местами до -12°C.
☁️
Переменная облачность, ночью местами небольшой снег, днем преимущественно без осадков.
🌬
Ветер южный 2-7 м/с, порывы до 12 м/с.
⚠️
На дорогах возможна гололедица.
🔹
Кемерово
Ночью: -7...-9°C.
Днем: -5...-7°C.
☁️
Переменная облачность, без осадков.
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https://t.me/meteo_kuzbass/1193?embed=1&mode=tme
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https://t.me/meteo_kuzbass/1194?embed=1&mode=tme
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🕛
Сегодня, 24 ноября 2024 года в Кемерово была облачная погода и небольшой снег. Температура ночью -10°C, днём до -6°C.
Ветер слабый, 2-4 м/с.
|
https://t.me/meteo_kuzbass/1194?embed=1&mode=tme
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https://t.me/
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https://t.me/s/meteo_kuzbass
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https://t.me/pogoda51/26356?embed=1&mode=tme
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Погода на ГМС Мурманск час назад
Температура -14.6°C | Давление 1020 гПа | Ветер 3 м/с, Южный | Погода: Без особых явлений
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https://t.me/pogodamis/1167?embed=1&mode=tme
| 123
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Сочи (Адлер), 24 сентября
https://sochi-weather.blogspot.com/2024/09/24_24.html
Погода в Сочи Облачно, дождь. Температура ночью 17°, днём 24°. Ветер юго-восточный, 4 м/с. Атмосферное давление ночью 760 мм рт.ст., днём 759 мм рт.ст.Вероятность осадков 91% -
http://okvv.ru/15
|
https://t.me/pogodamis/1167?embed=1&mode=tme
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https://t.me/
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https://t.me/s/pogodamis
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Сочи (Адлер), 25 сентября
https://sochi-weather.blogspot.com/2024/09/25.html
Погода в Сочи Облачно, дождь. Температура ночью 17°, днём 24°. Ветер южный, 1 м/с. Атмосферное давление ночью 762 мм рт.ст., днём 760 мм рт.ст.Вероятность осадков 95% -
http://okvv.ru/15
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https://t.me/sarpogoda/662?embed=1&mode=tme
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Прогноз погоды в Саратовской области на
13 марта
Ночью от -5 до -10 градусов, днём от -2 до +3. В течение суток местами слабый снег и гололедица.
По данным ФГБУ "Приволжское УГМС"
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https://t.me/sarpogoda/662?embed=1&mode=tme
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https://t.me/
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https://t.me/s/sarpogoda
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{
"ner": "13 марта",
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{
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NEUTRAL
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rus
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SPAM
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| 311
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{
"id": 1,
"name": "Telegram",
"link": "https://t.me/"
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{
"id": 77474,
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https://t.me/sarpogoda/663?embed=1&mode=tme
| 123
|
Прогноз погоды в Саратовской области на
14 марта
Ночью от -6 до -11 градусов, днём от 0 до +5. Преимущественно без осадков.
По данным ФГБУ "Приволжское УГМС"
|
https://t.me/sarpogoda/663?embed=1&mode=tme
|
https://t.me/
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https://t.me/s/sarpogoda
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[
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{
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"lemma": "фгбу \"приволжский угмс\"",
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},
{
"ner": "14 марта",
"lemma": "14 марта",
"label": "DATE",
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},
{
"ner": "6",
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"label": "NUM",
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NEUTRAL
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rus
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SPAM
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{
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| 273
|
{
"id": 1,
"name": "Telegram",
"link": "https://t.me/"
}
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{
"id": 77474,
"name": "Погода в Саратове",
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|
|
https://t.me/sarpogoda/664?embed=1&mode=tme
| 123
|
Прогноз погоды в Саратовской области на
15 марта
В ночные часы от -9 до -14 градусов, но днём от -1 до +4. В течение суток синоптики ожидают туман и гололедицу.
По данным ФГБУ "Приволжское УГМС"
|
https://t.me/sarpogoda/664?embed=1&mode=tme
|
https://t.me/
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https://t.me/s/sarpogoda
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https://t.me/weather_voronezh/1523?embed=1&mode=tme
| 123
|
Прогноз на завтра от Яндекс,
% - вероятность осадков от Google:
В 6 часов
☁
−3° | 10%
🟢
В 7 часов
☁
−2° | 10%
🟢
В 8 часов
☁
−2° | 10%
🟢
Восход в 8:03
В 9 часов
☁
−2° | 10%
🟢
В 10 часов
☁
−2° | 10%
🟢
В 11 часов
☁
−2° | 10%
🟢
В 12 часов
☁
−2° | 10%
🟢
В 13 часов
💧
❄
−1° | 20%
🟢
В 14 часов
☁
−1° | 25%
🟡
В 15 часов
💧
❄
−1° | 20%
🟢
В 16 часов
⛅
−1° | 20%
🟢
Закат в 16:19
В 17 часов
☁
−1° | 10%
🟢
В 18 часов
☁
0° | 10%
🟢
В 19 часов
☁
−1° | 10%
🟢
В 20 часов
☁
−1° | 10%
🟢
В 21 час
☁
−1° | 10%
🟢
В 22 часа
☁
−1° | 10%
🟢
В 23 часа
☁
−1° | 5%
🟢
|
https://t.me/weather_voronezh/1523?embed=1&mode=tme
|
https://t.me/
|
https://t.me/s/weather_voronezh
| 168
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| 1,732,716,525
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"link": "https://t.me/"
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{
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"name": "Погода в Воронеже",
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|
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https://t.me/amurpogoda/2135?embed=1&mode=tme
| 123
|
По области ночью облачно,
☁️
☁️
снег
❄️
, сильный снег,
❄️
❄️
местами по южным и восточным районам очень сильный снег,
❄️
🌨
❄️
днем с прояснениями погода, снег,
❄️
местами сильный снег.
❄️
❄️
⚠️
В отдельных районах поземок, слабая метель, на дорогах снежный накат, гололедица.
🌬
Ветер восточный, северо-восточный 3-8 м/с, местами порывы 15-17 м/с.
💨
🌠
🌡
Температура ночью по северу -5-10 °С, местами по северо-западным районам 15-20 °С, по Тындинскому району местами -23-28°С, по центральным и южным районам -2-7 °С.
🌅
🌡
Днем по северу -3-8 °С, местами по северо-западным районам -13-18 °С, по центральным и южным районам -1-6 °С.
В Благовещенске
облачно,
☁️
☁️
ночью сильный снег,
❄️
🌨
❄️
днем снег.
❄️
🌬
Ветер восточный, северо-восточный 8-13 м/с.
🌡
Температура ночью и днем -1-3 °С.
#амурпогода #амурскаяобласть
|
https://t.me/amurpogoda/2135?embed=1&mode=tme
|
https://t.me/
|
https://t.me/s/amurpogoda
| 5,600
| 0
| 1,732,588,907
| 1,732,800,863
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https://t.me/forecast_nvrsk/1052?embed=1&mode=tme
| 123
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Прогноз на 5 дней
25.11, пн
❄
+2 ... +3 °C
26.11, вт
❄
+2 ... +5 °C
27.11, ср
☁
+5 ... +7 °C
28.11, чт
🌦
+6 ... +7 °C
29.11, пт
🌦
+5 ... +9 °C
@forecast_nvrsk
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https://t.me/forecast_nvrsk/1052?embed=1&mode=tme
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https://t.me/
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https://t.me/s/forecast_nvrsk
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] | 614
|
[
{
"ner": "26.11",
"lemma": "26.11",
"label": "DATE",
"start_pos": 43,
"end_pos": 48
},
{
"ner": "29.11",
"lemma": "29.11",
"label": "DATE",
"start_pos": 118,
"end_pos": 123
},
{
"ner": "27.11",
"lemma": "27.11",
"label": "DATE",
"start_pos": 68,
"end_pos": 73
},
{
"ner": "25.11",
"lemma": "25.11",
"label": "DATE",
"start_pos": 18,
"end_pos": 23
},
{
"ner": "28.11",
"lemma": "28.11",
"label": "DATE",
"start_pos": 93,
"end_pos": 98
},
{
"ner": "5",
"lemma": "5",
"label": "NUM",
"start_pos": 11,
"end_pos": 12
},
{
"ner": "11",
"lemma": "11",
"label": "NUM",
"start_pos": 21,
"end_pos": 23
},
{
"ner": "2",
"lemma": "2",
"label": "NUM",
"start_pos": 31,
"end_pos": 32
},
{
"ner": "3",
"lemma": "3",
"label": "NUM",
"start_pos": 38,
"end_pos": 39
},
{
"ner": "11",
"lemma": "11",
"label": "NUM",
"start_pos": 46,
"end_pos": 48
},
{
"ner": "2",
"lemma": "2",
"label": "NUM",
"start_pos": 56,
"end_pos": 57
},
{
"ner": "5",
"lemma": "5",
"label": "NUM",
"start_pos": 63,
"end_pos": 64
},
{
"ner": "11",
"lemma": "11",
"label": "NUM",
"start_pos": 71,
"end_pos": 73
},
{
"ner": "5",
"lemma": "5",
"label": "NUM",
"start_pos": 81,
"end_pos": 82
},
{
"ner": "7",
"lemma": "7",
"label": "NUM",
"start_pos": 88,
"end_pos": 89
},
{
"ner": "11",
"lemma": "11",
"label": "NUM",
"start_pos": 96,
"end_pos": 98
},
{
"ner": "6",
"lemma": "6",
"label": "NUM",
"start_pos": 106,
"end_pos": 107
},
{
"ner": "7",
"lemma": "7",
"label": "NUM",
"start_pos": 113,
"end_pos": 114
},
{
"ner": "11",
"lemma": "11",
"label": "NUM",
"start_pos": 121,
"end_pos": 123
},
{
"ner": "5",
"lemma": "5",
"label": "NUM",
"start_pos": 131,
"end_pos": 132
},
{
"ner": "9",
"lemma": "9",
"label": "NUM",
"start_pos": 138,
"end_pos": 139
}
] |
NEUTRAL
|
other
|
SPAM
|
{
"length": 40,
"bad_words_count": 0,
"capslock_words_count": 5,
"ru": 0.90909094,
"eng": 0.09090909,
"other": 0,
"speech_parts_count": {
"adj": 1,
"verb": 0,
"pron": 0,
"num": 16,
"noun": 3,
"adv": 0,
"punct": 15
}
}
| 198
|
{
"id": 1,
"name": "Telegram",
"link": "https://t.me/"
}
|
{
"id": 398804,
"name": "Погода в Новороссийске",
"link": "https://t.me/forecast_nvrsk",
"source_id": 1,
"theme_ru": "none",
"theme_en": "none"
}
| true
|
End of preview.
YAML Metadata
Warning:
The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Description in English:
The dataset is collected from Russian-language Telegram channels with weather forecasts in various regions of Russia,
The dataset was collected and tagged automatically using the data collection and tagging service Scoutie.
Try Scoutie and collect the same or another dataset using link FOR FREE.
Dataset fields:
taskId - task identifier in the Scoutie service.
text - main text.
url - link to the publication.
sourceLink - link to Telegram.
subSourceLink - link to the channel.
views - text views.
likes - for this dataset, an empty field (meaning the number of emotions).
createTime - publication date in unix time format.
createTime - publication collection date in unix time format.
clusterId - cluster id.
vector - text embedding (its vector representation).
ners - array of identified named entities, where lemma is a lemmatized representation of a word, and label is the name of a tag, start_pos is the starting position of an entity in the text, end_pos is the ending position of an entity in the text.
sentiment - emotional coloring of the text: POSITIVE, NEGATIVE, NEUTRAL.
language - text language RUS, ENG.
spam - text classification as advertising or not NOT_SPAM - no advertising, otherwise SPAM - the text is marked as advertising.
length - number of tokens in the text (words).
markedUp - means that the text is marked or not within the framework of the Scoutie service, takes the value true or false.
Описание на русском языке:
Датасет собран из русскоязычных Telegram каналов с прогнозами погоды в различных регионах России,
Датасет был собран и размечен автоматически с помощью сервиса сбора и разметки данных Скаути.
Попробуй Скаути и собери такой же или другой датасет по ссылке БЕСПЛАТНО.
Поля датасета:
taskId - идентификатор задачи в сервисе Скаути.
text - основной текст.
url - ссылка на публикацию.
sourceLink - ссылка на Telegram.
subSourceLink - ссылка на канал.
views - просмотры текста.
likes - для данного датасета пустое поле (означающее количество эмоций).
createTime - дата публикации в формате unix time.
createTime - дата сбора публикации в формате unix time.
clusterId - id кластера.
vector - embedding текста (его векторное представление).
ners - массив выявленных именованных сущностей, где lemma - лемматизированное представление слова, а label это название тега, start_pos - начальная позиция сущности в тексте, end_pos - конечная позиция сущности в тексте.
sentiment - эмоциональный окрас текста: POSITIVE, NEGATIVE, NEUTRAL.
language - язык текста RUS, ENG.
spam - классификация текста, как рекламный или нет NOT_SPAM - нет рекламы, иначе SPAM - текст помечен, как рекламный.
length - количество токенов в тексте (слов).
markedUp - означает, что текст размечен или нет в рамках сервиса Скаути принимает значение true или false.
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