Datasets:
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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
- Downloads last month
- 50