Datasets:

AbdullahImran
/

Mental-Health-Classification-Dataset

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 3 new columns ({'is_confusing_keyword_type', 'sub_topic', 'category'}) and 4 missing columns ({'is_edge_case', 'style', 'condition', 'related'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AbdullahImran/Mental-Health-Classification-Dataset/data/non_mental_health.csv (at revision ae431932f35a4ad4a68beb8470360b8798f82d98), ['hf://datasets/AbdullahImran/Mental-Health-Classification-Dataset@ae431932f35a4ad4a68beb8470360b8798f82d98/data/mental_health.csv', 'hf://datasets/AbdullahImran/Mental-Health-Classification-Dataset@ae431932f35a4ad4a68beb8470360b8798f82d98/data/non_mental_health.csv']

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 "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              category: string
              sub_topic: string
              title: string
              content: string
              is_mental_health: bool
              is_confusing_keyword_type: bool
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1010
              to
              {'condition': Value('string'), 'style': Value('string'), 'title': Value('string'), 'content': Value('string'), 'is_mental_health': Value('bool'), 'is_edge_case': Value('bool'), 'related': Value('float64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 3 new columns ({'is_confusing_keyword_type', 'sub_topic', 'category'}) and 4 missing columns ({'is_edge_case', 'style', 'condition', 'related'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AbdullahImran/Mental-Health-Classification-Dataset/data/non_mental_health.csv (at revision ae431932f35a4ad4a68beb8470360b8798f82d98), ['hf://datasets/AbdullahImran/Mental-Health-Classification-Dataset@ae431932f35a4ad4a68beb8470360b8798f82d98/data/mental_health.csv', 'hf://datasets/AbdullahImran/Mental-Health-Classification-Dataset@ae431932f35a4ad4a68beb8470360b8798f82d98/data/non_mental_health.csv']
              
              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.

condition string	style string	title string	content string	is_mental_health bool	is_edge_case bool	related null
eating disorder (anorexia nervosa)	doctor	Anorexia Nervosa: Understanding First-Line Treatment	Anorexia Nervosa (AN) is a serious, potentially life-threatening eating disorder characterized by significantly low body weight, an intense fear of gaining weight, and a distorted perception of body weight or shape. While the prevalence varies, it's estimated that around 0.9% to 4% of women and 0.3% of men will experie...	true	false	null
body dysmorphic disorder	doctor	Body Dysmorphic Disorder: Finding Freedom from Obsessive Concerns	Body Dysmorphic Disorder (BDD) affects approximately 1-2% of the population, causing significant distress and impairment. Many suffer in silence, believing their concerns are simply vanity. This article explores first-line treatments, offering hope for recovery. BDD is characterized by excessive preoccupation with per...	true	false	null
bipolar II disorder	doctor	Bipolar II Disorder: Understanding Effective First-Line Treatments	Bipolar II disorder affects millions, characterized by depressive episodes and hypomanic periods. It's often misdiagnosed, highlighting the need for accurate identification and effective treatment. This article will focus on widely accepted and effective first-line treatments. Bipolar II disorder is defined by recurre...	true	false	null
obsessive-compulsive disorder (contamination type)	doctor	Contamination OCD: Understanding Treatment	Obsessive-compulsive disorder (OCD) affects approximately 1-2% of the population. Contamination OCD, a common subtype, centers around fears of germs, dirt, or illness, leading to significant distress. We'll explore effective first-line treatments. Contamination OCD is characterized by intrusive, unwanted thoughts (obs...	true	false	null
eating disorder (anorexia nervosa)	patient	Chasing Empty: A Reflection	I'm Sarah, and for years, my life revolved around a number on a scale. It started subtly, a desire to be "healthier" in my early teens. Skipping dessert here, opting for a salad there. The moment it became undeniable was during a family vacation. I remember meticulously cutting my food into tiny pieces, pushing it aro...	true	false	null
atypical depression	patient	The Brightest Dark	My Background & Early Signs: I’m Sarah, and I always considered myself a generally optimistic person. But around my late twenties, I noticed a creeping fatigue. Not just tired, but heavy. And I started oversleeping, which was so unlike me. The Onset and Emotional Impact: It wasn't a sudden crash, but a slow fade. I ...	true	false	null
generalized anxiety disorder	doctor	GAD & Masked Symptoms: When Anxiety Hides	Generalized Anxiety Disorder (GAD) affects millions, but its presentation can be surprisingly varied. Sometimes, the anxiety isn't obvious, masked by physical symptoms or other conditions, leading to delayed diagnosis and treatment. GAD is characterized by persistent and excessive worry about various events or activit...	true	true	null
generalized anxiety disorder	patient	Anxiety's Late Bloom: Rewriting My Story	My Background & Early Signs: I was always the "chill" one. A rock for everyone else. Nearing 50, life was good - kids grown, stable job. Then, out of nowhere, it felt like the floor dropped out. The Onset and Emotional Impact: It started with a persistent unease. A low hum of worry that wouldn't quit. Dismissed it as ...	true	true	null
chronic stress	patient	The Unseen Weight	My Background & Early Signs: I'm Sarah, a 30-something software engineer. It started subtly, maybe five years ago. More frequent headaches, a little more irritable. I chalked it up to a demanding job. The Onset and Emotional Impact: The turning point was a massive project deadline. Sleepless nights became the norm, fu...	true	false	null
eating disorder (anorexia nervosa)	patient	The Scale Lied, But My Heart Didn't	My Background & Early Signs: I'm Sarah, and it started subtly. Comments about my body from family, the pressure to be 'perfect,' and a need for control spiraled. I began restricting calories, telling myself it was just a healthy diet. The Onset and Emotional Impact: The moment it became undeniable was when my period s...	true	false	null
acute stress disorder	doctor	Acute Stress Disorder: Masked Symptoms in the Elderly	Acute Stress Disorder (ASD) affects many after trauma. While estimates vary, studies suggest up to 19% of adults develop ASD after experiencing a traumatic event. This article focuses on the often-overlooked presentation of ASD in older adults, where symptoms can be masked or misattributed to other age-related conditio...	true	true	null
single event trauma (PTSD)	patient	Shattered, But Healing	I'm Sarah, and until three years ago, I lived a pretty ordinary life. Then, a car accident changed everything. The nightmares started subtly – unsettling dreams I'd brush off. But soon, they were vivid replays of screeching tires and shattering glass. The accident itself was quick, but the aftermath lingered. I couldn...	true	false	null
complex trauma (C-PTSD)	doctor	Complex Trauma (C-PTSD): Understanding First-Line Treatments	Complex trauma, or C-PTSD, affects millions, arising from prolonged or repeated traumatic experiences. Unlike single-incident PTSD, C-PTSD shapes core aspects of self and relationships. Let's explore effective first-line treatment strategies. C-PTSD arises from chronic trauma, often in childhood, involving captivity-l...	true	false	null
bipolar II disorder	doctor	Bipolar II: Unmasking Co-occurring Personality Disorders	Bipolar II disorder, characterized by depressive episodes and hypomanic periods, affects approximately 2.5% of adults. Often, its symptoms are misattributed or overshadowed, particularly when co-occurring with personality disorders, leading to delayed or inaccurate diagnoses. Clinical Overview & Diagnostic Nuances: Bi...	true	true	null
episodic acute stress	patient	Chasing Calm: My Stressful Symphony	My Background & Early Signs: I'm Sarah, a teacher. The pressure of deadlines, demanding parents, and endless grading slowly chipped away at me. I started having frequent headaches and felt constantly on edge, easily irritated. The Onset and Emotional Impact: It hit me during the winter holidays. I had planned a relaxi...	true	false	null
social anxiety disorder	doctor	Social Anxiety: When the Body Cries Out	Social anxiety disorder (SAD) affects millions, causing significant distress in social situations. While often recognized through fear of judgment, SAD can manifest in surprising ways. This article explores how, in some cases, the anxiety primarily expresses itself through physical symptoms, masking the underlying soci...	true	true	null
borderline personality disorder (emotional dysregulation focus)	doctor	BPD & Masked Depression: When Emotional Pain Hides	Borderline Personality Disorder (BPD) affects 1-3% of adults, characterized by intense emotions & unstable relationships. But what happens when BPD's hallmarks are overshadowed by another pervasive condition: depression? BPD features emotional dysregulation, impulsivity, & fear of abandonment. Diagnostic criteria incl...	true	true	null
panic disorder with agoraphobia	patient	The World Shrank, Then Grew Again	My Background & Early Signs: I'm Sarah, and for years, I considered myself a pretty typical 20-something. Looking back, though, the anxiety was always there, a low hum in the background. Little things started it - avoiding crowded malls, always needing an "out" at social gatherings. The Onset and Emotional Impact: It ...	true	false	null
postpartum depression	doctor	Postpartum Depression: Finding Your Way Back	Postpartum depression (PPD) affects up to 1 in 7 new mothers, impacting their well-being and their ability to care for their child. This isn't just "baby blues"; it's a serious condition requiring understanding and support. We'll focus on first-line treatments for this common struggle. The standard diagnostic process ...	true	false	null
atypical depression	doctor	Atypical Depression: Finding Relief from Mood Reactivity	Atypical depression, while less recognized than its "typical" counterpart, affects millions. It's marked by a unique symptom profile that demands a tailored approach to diagnosis and treatment. Unlike classic depression, it includes a capacity for mood to brighten in response to positive events, a crucial distinction f...	true	false	null
bipolar II disorder	doctor	Bipolar II: Understanding the Diagnostic Journey	Bipolar II disorder affects millions, characterized by depressive episodes and hypomania. Often, hypomania is subtle, making diagnosis challenging. Let’s explore the standard path clinicians take to identify this condition. Bipolar II is defined by experiencing at least one major depressive episode lasting two weeks o...	true	false	null
body dysmorphic disorder	doctor	Body Dysmorphic Disorder: The Mask of Physical Illness	Body dysmorphic disorder (BDD) affects approximately 1-2% of the population, causing significant distress and impairment. While often characterized by preoccupation with perceived flaws in appearance, a challenging facet emerges when BDD symptoms are masked, mimicking genuine physical ailments and delaying accurate dia...	true	true	null
complex trauma (C-PTSD)	doctor	Complex Trauma: Understanding Standard Treatment Approaches	Complex trauma, or C-PTSD, affects millions, often stemming from prolonged or repeated trauma. While PTSD typically arises from a single event, C-PTSD develops from ongoing abuse or neglect, especially during childhood. This article focuses on the most widely accepted and effective first-line treatments for C-PTSD, det...	true	false	null
atypical depression	doctor	Atypical Depression: Masked Symptoms in Older Adults	Atypical depression affects millions, yet its presentation can be deceptive, especially in older adults. Unlike classic depression, it often involves increased appetite, excessive sleep, and a sensitivity to rejection. But what happens when these symptoms are subtly masked by age-related physical changes, or misattribu...	true	true	null
borderline personality disorder (emotional dysregulation focus)	doctor	BPD: When Emotional Storms Mimic Physical Illness	Borderline Personality Disorder (BPD) affects approximately 1.6% of adults. While often recognized by intense emotional swings, a less discussed facet is how emotional dysregulation can manifest as seemingly unrelated, chronic physical complaints, delaying accurate diagnosis and appropriate care. Clinical Overview & D...	true	true	null
atypical depression	patient	Brighter Shadows	I'm Sarah, and for a long time, I just thought I was overly sensitive. Looking back, the signs were there in my late teens: needing tons of sleep, craving carbs constantly, and feeling intensely sad or hopeless whenever someone criticized me, even constructively. The real downturn hit during my junior year of college....	true	false	null
generalized anxiety disorder	doctor	Worry Less, Live More: First-Line Treatment for Generalized Anxiety	Generalized Anxiety Disorder (GAD) affects millions, causing persistent worry that disrupts daily life. But effective treatments exist. Let’s explore the standard path to relief. GAD is characterized by excessive anxiety and worry about various events or activities, occurring more days than not for at least six months...	true	false	null
obsessive-compulsive disorder (symmetry type)	patient	Off-Kilter: Symmetry's Shadow in Later Life	I'm Arthur, 72. My life felt complete, grandkids, retirement. Then, symmetry took hold. Not in my youth, but now. It started subtly. Straightening picture frames, then rearranging books by height. Annoying, sure, but manageable. I brushed it off as a quirk of aging, a need for order in a world feeling increasingly cha...	true	true	null
generalized anxiety disorder	doctor	Generalized Anxiety: Effective First-Line Treatments	Generalized Anxiety Disorder (GAD) affects millions, causing persistent worry that disrupts daily life. This article dives into the most effective first-line treatments for GAD. GAD is characterized by excessive anxiety and worry about various events or activities, occurring more days than not for at least six months....	true	false	null
panic disorder with agoraphobia	doctor	Panic, Agoraphobia, and the Mask of Physical Illness	Panic disorder with agoraphobia can feel like a life sentence, trapping individuals in cycles of fear and avoidance. While many associate it with overwhelming anxiety in public spaces, it can sometimes masquerade as something entirely different: a purely physical ailment. This article explores this challenging presenta...	true	true	null
atypical depression	doctor	Atypical Depression: Unmasking Mimicry	Atypical depression, affecting millions, often flies under the radar. While characterized by mood reactivity, increased appetite, hypersomnia, leaden paralysis, and rejection sensitivity, its chameleon-like ability to mimic physical ailments presents a unique diagnostic hurdle. Atypical depression, unlike melancholic ...	true	true	null
episodic acute stress	doctor	Episodic Acute Stress: Breaking the Cycle	Episodic acute stress is more than just a bad day; it's a pattern of frequent stress episodes. Feeling overwhelmed is common, but chronic overwhelm disrupts life. Clinical Overview & Diagnostic Nuances: Episodic acute stress involves frequent episodes of acute stress, differing from generalized anxiety or chronic str...	true	false	null
social anxiety disorder	doctor	Social Anxiety: When Symptoms Hide in Plain Sight	Social Anxiety Disorder (SAD) affects millions, yet its diverse presentations can lead to missed diagnoses. While fear of public speaking is well-known, SAD can manifest in unexpected ways, masking itself as physical ailments, impacting diagnosis and care. Clinical Overview & Diagnostic Nuances: SAD, characterized by ...	true	true	null
chronic stress	patient	The Weight of Shoulds: Chronic Stress in My 60s	My Background & Early Signs: I was always a "doer," career-focused, family-oriented. Retirement was supposed to be relaxing! But about five years ago, insomnia crept in. I brushed it off - menopause, right? Then came the persistent headaches and digestive issues. The Onset and Emotional Impact: The dam truly broke aft...	true	true	null
developmental trauma	patient	The Unseen Scars: Trauma's Late Bloom	My Background & Early Signs: I grew up in a home where feelings were…discouraged. Stoicism was prized. I never connected my anxiety and perfectionism to anything deeper until much later in life. I excelled academically, a 'good kid' masking a silent storm. The Onset and Emotional Impact: It wasn't until my late 50s, a...	true	true	null
bipolar II disorder	patient	Chasing Shadows, Finding Light	My Background & Early Signs: I'm Maria, a 62-year-old retired librarian. Looking back, the "signs" were always there: periods of intense creativity followed by crushing fatigue. But everyone just called me "quirky" or "sensitive." It wasn't until after my husband's death that things truly spiraled. The Onset and Emoti...	true	true	null
obsessive-compulsive disorder (checking type)	doctor	OCD: Checking and Taking Back Control	Obsessive-compulsive disorder (OCD) affects millions, trapping them in cycles of intrusive thoughts and repetitive behaviors. We'll focus on checking-type OCD, one of the most common presentations, and how we help patients regain control. OCD is characterized by obsessions – persistent, intrusive thoughts, urges, or i...	true	false	null
obsessive-compulsive disorder (contamination type)	patient	The Invisible Prison of Grief and Germs	I'm Sarah, and my OCD latched onto me not in adolescence, but after my husband, Mark, died suddenly five years ago. Grief became fertile ground for contamination fears. The funeral was a blur, a sea of hands offering condolences, touching me, my clothes. That's when the insidious thoughts began: *What if they're sick?...	true	true	null
single event trauma (PTSD)	patient	Echoes in the Silence: Late Trauma's Unexpected Grip	My Background & Early Signs: I was 68, happily retired, enjoying my grandkids. Life was peaceful, predictable. Then, out of nowhere, crippling anxiety, nightmares…things I hadn’t felt since I was a young woman. The Onset and Emotional Impact: It started subtly. A news report about a car accident. Then, flashbacks. Viv...	true	true	null
obsessive-compulsive disorder (contamination type)	patient	The Invisible Germ Prison	My Background & Early Signs: I'm Sarah, and my OCD started subtly. A little extra handwashing, worrying about germs, especially after using public restrooms. It seemed normal, even hygienic, at first. The Onset and Emotional Impact: Then, it escalated. It wasn't just public restrooms anymore. Everything felt potential...	true	false	null
chronic stress	patient	The Tightening Knot	My Background & Early Signs: I'm Sarah, a 30-something teacher. It started subtly. A persistent tightness in my shoulders, trouble sleeping, and a general feeling of being overwhelmed, especially during particularly demanding school terms. The Onset and Emotional Impact: It wasn't one dramatic event, but a slow creep....	true	false	null

End of preview.

Mental Health Classification Dataset

A curated English text dataset for binary mental-health text classification.

The dataset contains two classes:

MH — mental-health-related content
Non-MH — non-mental-health-related content

The dataset was prepared as part of a broader NLP project involving data cleaning, deduplication, edge-case handling, SBERT fine-tuning, and downstream binary classification.

Dataset Summary

Split / Class	Examples
Mental Health (`MH`)	24,493
Non-Mental Health (`Non-MH`)	6,009
Total	30,502

The dataset is provided as two CSV files:

data/
├── mental_health.csv
└── non_mental_health.csv

Data Fields

Mental Health Dataset

The mental_health.csv file contains:

Column	Description
`condition`	Mental-health-related condition or topic
`style`	Content style or generation/category descriptor
`title`	Title associated with the text
`content`	Main text content
`is_mental_health`	Binary mental-health label
`is_edge_case`	Indicates whether the example was identified as an edge case
`related`	Related metadata where available

For the mental-health dataset, is_mental_health = True represents mental-health-related content.

Non-Mental Health Dataset

The non_mental_health.csv file contains:

Column	Description
`category`	General content category
`sub_topic`	More specific topic within the category
`title`	Title associated with the text
`content`	Main text content
`is_mental_health`	Binary mental-health label
`is_confusing_keyword_type`	Indicates whether the example contains potentially confusing terminology

For the non-mental-health dataset, is_mental_health = False represents non-mental-health content.

Data Preparation

The final dataset used for this repository was produced through a preprocessing pipeline that included:

Data cleaning
Duplicate removal
Dataset consolidation
Label verification
Edge-case identification
Separation of mental-health and non-mental-health examples

The repository contains the final curated CSV files rather than intermediate dataset-generation versions.

Example

A mental-health example may contain text discussing a mental-health condition, symptoms, treatment, or related experiences.

A non-mental-health example may discuss topics such as technology, consumer products, entertainment, science, or other general subjects without representing mental-health content.

Intended Use

This dataset is intended for:

Natural language processing research
Binary text classification
Mental-health-related NLP experimentation
Sentence embedding research
Training and evaluating machine-learning classifiers
Educational and research projects

It can be used to investigate whether a piece of text contains mental-health-related content.

Relationship to the Model

This dataset was used as part of the broader project associated with the Fine-Tuned SBERT MiniLM for Mental Health Classification model.

The classification pipeline uses a fine-tuned SBERT encoder to generate sentence embeddings, followed by a Logistic Regression classifier for binary classification.

Text
  |
  v
Fine-Tuned SBERT
  |
  v
384-Dimensional Embedding
  |
  v
Logistic Regression
  |
  v
MH / Non-MH

Limitations

The dataset should not be interpreted as a clinical or diagnostic resource.

Mental-health language is complex and highly contextual. A text classifier trained on this dataset may produce incorrect classifications, particularly for:

Ambiguous statements
Indirect references to mental health
Sarcasm or figurative language
Unfamiliar writing styles
Topics outside the dataset distribution
Culturally or linguistically different expressions

Dataset labels represent the classification scheme used during dataset preparation and should not be interpreted as clinical judgments.

Responsible Use

This dataset should be used responsibly.

A prediction that text is classified as MH does not indicate that the author of the text has a mental-health condition. Similarly, a Non-MH prediction does not establish the absence of mental-health concerns.

The dataset and models derived from it should not be used as a substitute for professional medical or psychological assessment.

Citation

If you use this dataset in a project or publication, please cite this Hugging Face repository and the associated project.

License

No explicit open-source license is specified for this dataset at this time. Users should review the provenance and intended usage of the underlying data before redistributing or using it commercially.

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