Datasets:
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Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 missing columns ({'Label_2', 'Label_3', 'Label_4', 'Label_1', 'Label_5'})
This happened while the csv dataset builder was generating data using
hf://datasets/ctoraman/large-scale-hate-speech/toraman22_hate_speech_dataset_v2.csv (at revision 6b5403b383110f85519b4afef56dbd59c864dcf5)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
TweetID: int64
LangID: int64
TopicID: int64
HateLabel: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 709
to
{'TweetID': Value(dtype='int64', id=None), 'LangID': Value(dtype='int64', id=None), 'TopicID': Value(dtype='int64', id=None), 'Label_1': Value(dtype='int64', id=None), 'Label_2': Value(dtype='int64', id=None), 'Label_3': Value(dtype='int64', id=None), 'Label_4': Value(dtype='int64', id=None), 'Label_5': Value(dtype='int64', id=None), 'HateLabel': Value(dtype='int64', id=None)}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1321, 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 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 missing columns ({'Label_2', 'Label_3', 'Label_4', 'Label_1', 'Label_5'})
This happened while the csv dataset builder was generating data using
hf://datasets/ctoraman/large-scale-hate-speech/toraman22_hate_speech_dataset_v2.csv (at revision 6b5403b383110f85519b4afef56dbd59c864dcf5)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
TweetID
int64 | LangID
int64 | TopicID
int64 | Label_1
int64 | Label_2
int64 | Label_3
int64 | Label_4
int64 | Label_5
int64 | HateLabel
int64 |
|---|---|---|---|---|---|---|---|---|
1,310,773,615,709,827,000 | 0 | 0 | 2 | 2 | 2 | 1 | 2 | 2 |
1,233,309,088,181,899,300 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,303,626,209,788,678,100 | 0 | 0 | 2 | 2 | 2 | 0 | 2 | 2 |
1,346,887,994,721,054,700 | 0 | 0 | 2 | 0 | 2 | 0 | 2 | 2 |
1,323,499,874,864,763,000 | 0 | 0 | 2 | 0 | 2 | 0 | 2 | 2 |
1,317,405,083,714,412,500 | 0 | 0 | 1 | 2 | 2 | 2 | 1 | 2 |
1,347,062,948,045,402,000 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,314,962,835,903,000,600 | 0 | 0 | 0 | 2 | 1 | 2 | 2 | 2 |
1,262,181,976,796,209,200 | 0 | 0 | 0 | 2 | 2 | 1 | 2 | 2 |
1,343,677,953,926,983,700 | 0 | 0 | 2 | 1 | 2 | 2 | 2 | 2 |
1,321,394,510,740,529,200 | 0 | 0 | 2 | 1 | 2 | 2 | 2 | 2 |
1,265,497,874,521,108,500 | 0 | 0 | 2 | 2 | 2 | 1 | 0 | 2 |
1,337,083,746,420,404,200 | 0 | 0 | 1 | 2 | 2 | 2 | 0 | 2 |
1,365,866,579,414,700,000 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,256,298,017,004,675,000 | 0 | 0 | 0 | 2 | 1 | 2 | 2 | 2 |
1,233,766,782,751,645,700 | 0 | 0 | 1 | 1 | 2 | 2 | 2 | 2 |
1,329,333,713,914,765,300 | 0 | 0 | 2 | 1 | 2 | 1 | 2 | 2 |
1,317,573,195,046,813,700 | 0 | 0 | 2 | 2 | 2 | 2 | 1 | 2 |
1,347,569,983,619,002,400 | 0 | 0 | 2 | 0 | 2 | 2 | 0 | 2 |
1,344,020,813,960,388,600 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,345,741,148,934,045,700 | 0 | 0 | 2 | 0 | 2 | 2 | 2 | 2 |
1,369,404,382,463,340,500 | 0 | 0 | 2 | 0 | 2 | 2 | 2 | 2 |
1,345,409,648,199,938,000 | 0 | 0 | 1 | 1 | 2 | 2 | 2 | 2 |
1,343,890,764,703,670,300 | 0 | 0 | 2 | 2 | 2 | 1 | 1 | 2 |
1,363,010,463,345,246,200 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,290,875,253,221,138,400 | 0 | 0 | 2 | 2 | 2 | 0 | 1 | 2 |
1,245,806,844,594,884,600 | 0 | 0 | 2 | 2 | 1 | 1 | 2 | 2 |
1,371,847,471,312,343,000 | 0 | 0 | 2 | 2 | 1 | 2 | 2 | 2 |
1,342,411,660,523,401,200 | 0 | 0 | 1 | 2 | 2 | 2 | 1 | 2 |
1,303,378,229,009,539,000 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,233,883,721,746,571,300 | 0 | 0 | 2 | 1 | 2 | 2 | 1 | 2 |
1,253,389,343,907,033,000 | 0 | 0 | 2 | 2 | 2 | 1 | 2 | 2 |
1,259,147,100,652,212,200 | 0 | 0 | 2 | 1 | 1 | 2 | 2 | 2 |
1,316,066,807,745,310,700 | 0 | 0 | 0 | 2 | 2 | 2 | 2 | 2 |
1,233,878,731,736,916,000 | 0 | 0 | 2 | 2 | 1 | 2 | 2 | 2 |
1,233,844,908,022,280,200 | 0 | 0 | 2 | 2 | 1 | 2 | 1 | 2 |
1,233,726,734,207,537,200 | 0 | 0 | 2 | 2 | 1 | 2 | 1 | 2 |
1,361,724,190,525,689,900 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,342,001,801,948,782,600 | 0 | 0 | 2 | 1 | 2 | 2 | 2 | 2 |
1,274,461,355,626,696,700 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,278,061,068,720,509,000 | 0 | 0 | 2 | 0 | 2 | 2 | 1 | 2 |
1,307,325,966,956,535,800 | 0 | 0 | 2 | 1 | 2 | 1 | 2 | 2 |
1,263,276,598,704,443,400 | 0 | 0 | 2 | 1 | 1 | 2 | 2 | 2 |
1,255,112,491,086,106,600 | 0 | 0 | 1 | 2 | 2 | 1 | 2 | 2 |
1,270,836,385,507,938,300 | 0 | 0 | 1 | 1 | 2 | 2 | 2 | 2 |
1,344,294,488,144,048,000 | 0 | 0 | 2 | 2 | 2 | 1 | 2 | 2 |
1,313,487,690,172,686,300 | 0 | 0 | 1 | 2 | 2 | 2 | 2 | 2 |
1,373,350,200,119,529,500 | 0 | 0 | 1 | 2 | 2 | 0 | 2 | 2 |
1,357,666,605,384,237,000 | 0 | 0 | 1 | 0 | 2 | 2 | 2 | 2 |
1,357,056,075,070,070,800 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,233,857,313,909,485,600 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,342,947,370,158,461,000 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,233,828,864,213,835,800 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,270,863,431,436,992,500 | 0 | 0 | 2 | 2 | 2 | 1 | 2 | 2 |
1,371,564,297,692,790,800 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,342,241,048,597,323,800 | 0 | 0 | 2 | 2 | 2 | 2 | 1 | 2 |
1,233,823,307,297,890,300 | 0 | 0 | 2 | 0 | 2 | 2 | 2 | 2 |
1,323,391,547,803,652,000 | 0 | 0 | 1 | 2 | 2 | 2 | 2 | 2 |
1,250,118,905,508,610,000 | 0 | 0 | 1 | 1 | 2 | 2 | 2 | 2 |
1,346,923,491,262,685,200 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,263,505,172,032,094,200 | 0 | 0 | 1 | 2 | 1 | 2 | 2 | 2 |
1,343,582,048,032,870,400 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,320,255,468,036,591,600 | 0 | 0 | 2 | 2 | 0 | 2 | 2 | 2 |
1,317,340,416,795,136,000 | 0 | 0 | 2 | 2 | 2 | 0 | 2 | 2 |
1,272,438,899,088,994,300 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,364,278,673,239,658,500 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,346,839,200,423,948,300 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 2 |
1,317,388,764,541,575,200 | 0 | 0 | 2 | 0 | 1 | 2 | 2 | 2 |
1,325,094,688,093,827,000 | 0 | 0 | 2 | 2 | 2 | 2 | 1 | 2 |
1,329,853,986,585,927,700 | 0 | 0 | 2 | 1 | 2 | 0 | 2 | 2 |
1,233,873,706,365,128,700 | 0 | 0 | 1 | 1 | 2 | 2 | 2 | 2 |
1,371,828,953,267,253,200 | 0 | 0 | 2 | 2 | 2 | 2 | 0 | 2 |
1,317,462,022,838,194,200 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,267,248,190,132,236,300 | 0 | 0 | 1 | 2 | 2 | 1 | 2 | 2 |
1,341,456,003,745,902,600 | 0 | 0 | 2 | 2 | 2 | 1 | 2 | 2 |
1,260,904,868,732,113,000 | 0 | 0 | 2 | 1 | 1 | 2 | 2 | 2 |
1,341,814,560,630,710,300 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,233,430,228,388,765,700 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,335,625,994,879,824,000 | 0 | 0 | 2 | 2 | 2 | 2 | 1 | 2 |
1,254,670,071,873,638,400 | 0 | 0 | 2 | 1 | 2 | 1 | 2 | 2 |
1,323,948,358,336,192,500 | 0 | 0 | 2 | 1 | 2 | 2 | 2 | 2 |
1,305,945,472,796,889,000 | 0 | 0 | 1 | 2 | 2 | 2 | 2 | 2 |
1,233,309,872,831,291,400 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,233,171,120,297,271,300 | 0 | 0 | 2 | 2 | 0 | 2 | 1 | 2 |
1,328,441,350,992,367,600 | 0 | 0 | 2 | 2 | 2 | 0 | 2 | 2 |
1,233,688,952,558,825,500 | 0 | 0 | 2 | 2 | 2 | 0 | 0 | 2 |
1,333,891,203,516,014,600 | 0 | 0 | 2 | 1 | 0 | 2 | 2 | 2 |
1,290,762,732,678,066,200 | 0 | 0 | 2 | 2 | 2 | 1 | 2 | 2 |
1,317,405,602,549,813,200 | 0 | 0 | 2 | 2 | 2 | 2 | 1 | 2 |
1,323,493,632,213,684,200 | 0 | 0 | 2 | 2 | 1 | 2 | 1 | 2 |
1,341,655,595,984,810,000 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,355,642,779,347,677,200 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,315,630,293,462,679,600 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,270,726,083,197,808,600 | 0 | 0 | 2 | 1 | 2 | 2 | 2 | 2 |
1,366,081,200,926,957,600 | 0 | 0 | 1 | 0 | 2 | 2 | 2 | 2 |
1,260,530,584,469,848,000 | 0 | 0 | 1 | 2 | 1 | 2 | 2 | 2 |
1,342,153,625,955,668,000 | 0 | 0 | 2 | 2 | 2 | 2 | 2 | 2 |
1,310,253,261,203,689,500 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 2 |
1,262,155,143,908,376,600 | 0 | 0 | 2 | 2 | 1 | 1 | 2 | 2 |
1,329,533,363,435,278,300 | 0 | 0 | 2 | 2 | 2 | 1 | 0 | 2 |
This repository contains the utilized dataset in the LREC 2022 paper "Large-Scale Hate Speech Detection with Cross-Domain Transfer". This study mainly focuses hate speech detection in Turkish and English. In addition, domain transfer success between hate domains is also examined.
There are two dataset versions.
Dataset v1: The original dataset that includes 100,000 tweets per English and Turkish, published in LREC 2022. The annotations with more than 60% agreement are included.
Dataset v2: A more reliable dataset version that includes 68,597 tweets for English and 60,310 for Turkish. The annotations with more than 80% agreement are included.
NOTE: We publish all dataset contents in the Github repo. We also publish ~20k image files associated with the tweets. https://github.com/metunlp/hate-speech
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