Datasets:

Antontrokez
/

new_hatespeech_america

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
comment: string
type: string
text: null
label: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 502
to
{'text': Value('string'), 'label': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2388, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2271, in cast_table_to_features
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              comment: string
              type: string
              text: null
              label: null
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 502
              to
              {'text': Value('string'), 'label': Value('string')}
              because column names don't match

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.

Dataset Card for New Hatespeech America

This dataset contains English social media text data designed for text classification and hate speech detection tasks in Natural Language Processing (NLP).

Dataset Details

Dataset Description

The New Hatespeech America dataset is curated for researching and detecting hate speech in text. It consists of annotated sentences/posts aimed at training machine learning models to identify toxic, offensive, or hate-speech content.

Curated by: Antontrokez
Language(s) (NLP): English (en)
License: MIT
Primary Task: Text Classification / Hate Speech Detection

Dataset Sources

Repository: Antontrokez/new_hatespeech_america

Uses

Direct Use

This dataset can be directly used for:

Training and benchmarking text classification algorithms.
Fine-tuning Transformer models (e.g., BERT, RoBERTa) for hate speech detection.
Academic research on content moderation and social media toxicity analysis.

Out-of-Scope Use

Not recommended for deployment in automatic moderation systems without context verification and human oversight.
Not intended to promote or spread hate speech.

Data Sources & Collection

The data was collected from various social media platforms, including Instagram, Threads, Mastodon, Bluesky, Twitter/X, Reddit, 9GAG, and others, covering the period from March 2024 to January 2026. The dataset has been modified and preprocessed specifically for research purposes.

How to Use

Using Hugging Face datasets

from datasets import load_dataset

dataset = load_dataset("Antontrokez/new_hatespeech_america")
print(dataset["train"][0])

Downloads last month: 50

Total file size:

1.24 MB