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item_id
stringlengths
9
9
annotator
stringclasses
4 values
batch
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stigma_present
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2 values
stigma_confidence
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⌀
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null
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null
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null
null
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5
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null
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null
null
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null
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null
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7
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null
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9
null
null
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3
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null
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null
null
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6
null
null
null
null
null
null
null
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7
null
null
null
null
null
null
null
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4
null
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null
null
null
null
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null
null
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null
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null
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null
null
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null
null
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8
null
null
null
null
null
null
null
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5
null
null
null
null
null
null
null
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9
null
null
null
null
null
null
null
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9
null
null
null
null
null
null
null
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4
null
null
null
null
null
null
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null
null
null
null
null
null
null
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3
null
null
null
null
null
null
null
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9
null
null
null
null
null
null
null
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null
null
null
null
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null
null
null
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null
null
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null
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null
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null
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null
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6
null
null
null
null
null
null
null
stig_0012
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no
7
null
null
null
null
null
null
null
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yes
null
perceived/experienced
self
null
null
null
null
null
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null
null
null
null
null
null
null
null
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null
null
null
null
null
null
null
null
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null
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null
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null
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null
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null
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null
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null
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null
null
null
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null
null
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null
null
null
null
null
null
null
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5
null
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null
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null
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6
null
null
null
null
null
null
null
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10
null
null
null
null
null
null
null
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yes
6
perceived/experienced
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null
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null
null
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8
null
null
null
null
null
null
null
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5
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null
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null
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8
null
null
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null
null
null
null
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4
null
null
null
null
null
null
null
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6
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null
null
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null
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4
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null
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null
null
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no
5
null
null
null
null
null
null
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no
2
null
null
null
null
null
null
null
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no
9
null
null
null
null
null
null
null
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null
null
null
null
null
null
null
null
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6
null
null
null
null
null
null
null
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8
null
null
null
null
null
null
null
stig_0027
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8
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null
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null
null
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9
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null
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null
null
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5
expressed/enacted
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cognitive
null
trivialisation or minimisation
null
null
stig_0028
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no
null
null
null
null
null
null
null
null
stig_0028
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no
null
null
null
null
null
null
null
null
stig_0028
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no
null
null
null
null
null
null
null
null
stig_0029
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10
expressed/enacted; perceived/experienced
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cognitive
null
trivialisation or minimisation
null
null
stig_0029
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7
expressed/enacted
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cognitive
null
incompetence; uncontrollable
null
null
stig_0029
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batch3
no
6
null
null
null
null
null
null
null
stig_0030
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no
10
null
null
null
null
null
null
null
stig_0030
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batch3
yes
3
perceived/experienced
public
behavioural; cognitive
null
contamination; moral or character flaw
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null
stig_0030
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no
6
null
null
null
null
null
null
null
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null
null
null
null
null
null
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5
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null
pity/condescension; uncontrollable
null
null
stig_0040
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no
8
null
null
null
null
null
null
null
stig_0041
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no
5
null
null
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null
null
null
stig_0041
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no
8
null
null
null
null
null
null
null
stig_0042
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no
10
null
null
null
null
null
null
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stig_0042
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no
5
null
null
null
null
null
null
null
stig_0042
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7
null
null
null
null
null
null
null
End of preview. Expand in Data Studio

Mental Health Stigma Evaluation Benchmark

A theory-grounded benchmark for the automatic evaluation of mental health stigma in online communication. It pairs naturally occurring news and social media text with a fine-grained stigma taxonomy: a binary stigma-detection task and 28 categories covering the mode of stigma, its domain, and the components of particular forms of stigma. The 470 annotated excerpts mention six mental health conditions.

Full documentation, annotation guidelines, code and evaluation results: https://github.com/jemimakang/mh_stigma

Paper: Automatic Evaluation of Mental Health Stigma in Online Communication, Baes et al. (2026). [LINK]

Configs

  • gold — 470 rows, one per excerpt, with the adjudicated labels. News excerpt text is included; Reddit text is not.
  • annotators — 1,201 rows, one per annotation, with each annotator's labels before adjudication.

Both are keyed by item_id (stig_0001–stig_0470). Original Reddit and news identifiers are not released.

from datasets import load_dataset

gold = load_dataset("[ORG]/stigma-benchmark", "gold")

Requesting the Reddit text

Reddit excerpts are released to approved researchers only, to protect the people who wrote them and to respect platform terms. To apply, complete: https://forms.cloud.microsoft/r/KJbaMPAW03. The dataset authors review each application, usually within five working days. Approved applicants receive a file that joins to both configs on item_id.

Annotation categories

The taxonomy, its label values, and how each round was annotated and adjudicated are documented in the [repository]([GITHUB LINK]).

Citation

@misc{baes2026automaticevaluationmentalhealth,
      title={Automatic Evaluation of Mental Health Stigma in Online Communication}, 
      author={Naomi Baes and Jemima Kang and Nick Haslam and Chris Groot and Alsa Wu and Luc Raszewski and Yulia Otmakhova},
      year={2026},
      eprint={2610.02775},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2610.02775}, 
}
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Paper for jemimakang/mh_stigma