# Sentiments Dataset (381 Classes)

## Dataset Description
This dataset contains a collection of labeled sentences categorized into 381 different sentiment classes. The dataset provides a wide range of sentiment labels to facilitate fine-grained sentiment analysis tasks. Each sentence is associated with a sentiment class name.

## Dataset Information
- Number of classes: 381
- Features: `text` (string), `sentiment` (string)
- Number of examples: 1,061

## Class Names
The dataset includes the following sentiment class names as examples:
- Positive
- Negative
- Neutral
- Joyful
- Disappointed
- Worried
- Surprised
- Grateful
- Indifferent
- Sad
- Angry
- Relieved
- Sentiment
- Excited
- Hopeful
- Anxious
- Satisfied
- Happy
- Nostalgic
- Inspired
- Impressed
- Amazed
- Touched
- Proud
- Intrigued
- Relaxed
- Content
- Comforted
- Motivated
- Frustrated
- Delighted
- Moved
- Curious
- Fascinated
- Engrossed
- Addicted
- Eager
- Provoked
- Energized
- Controversial
- Significant
- Revolutionary
- Optimistic
- Impactful
- Compelling
- Enchanted
- Peaceful
- Disillusioned
- Thrilled
- Consumed
- Engaged
- Trendy
- Informative
- Appreciative
- Enthralled
- Enthusiastic
- Influenced
- Validated
- Reflective
- Emotional
- Concerned
- Promising
- Empowered
- Memorable
- Transformative
- Inclusive
- Groundbreaking
- Evocative
- Respectful
- Outraged
- Unity
- Enlightening
- Artistic
- Cultural
- Diverse
- Vibrant
- Prideful
- Captivated
- Revealing
- Inspiring
- Admiring
- Empowering
- Connecting
- Challenging
- Symbolic
- Immersed
- Evolving
- Insightful
- Reformative
- Celebratory
- Validating
- Diversity
- Eclectic
- Comprehensive
- Uniting
- Influential
- Honoring
- Transporting
- Resonating
- Chronicle
- Preserving
- Replicated
- Impressive
- Fascinating
- Tributary
- Momentum
- Awe-inspiring
- Unearthing
- Exploratory
- Immersive
- Transportive
- Personal
- Resilient
- Mesmerized
- Legendary
- Awareness
- Evidence-based
- Contemporary
- Connected
- Valuable
- Referencing
- Camaraderie
- Inspirational
- Evoke
- Emotive
- Chronicling
- Educational
- Serene
- Colorful
- Melodious
- Dramatic
- Enlivened
- Wonderstruck
- Enchanting
- Grandiose
- Abundant
- Harmonious
- Captivating
- Mesmerizing
- Dedicated
- Powerful
- Mystical
- Picturesque
- Opulent
- Revitalizing
- Fragrant
- Spellbinding
- Lush
- Breathtaking
- Passionate
- Melodic
- Wonderland
- Invigorating
- Dappled
- Flourishing
- Ethereal
- Elaborate
- Kaleidoscope
- Harmonizing
- Tragic
- Transforming
- Marveling
- Enveloped
- Reverberating
- Sanctuary
- Graceful
- Spectacular
- Golden
- Melancholic
- Transcendent
- Delicate
- Awakening
- Intertwined
- Indelible
- Verdant
- Heartrending
- Fiery
- Inviting
- Majestic
- Lullaby-like
- Kissed
- Behold
- Soulful
- Splendid
- Whispering
- Masterpiece
- Moving
- Crystalline
- Tapestry
- Haunting
- Renewal
- Wisdom-filled
- Stunning
- Sun-kissed
- Symphony
- Awestruck
- Dancing
- Heart-wrenching
- Magical
- Gentle
- Emotion-evoking
- Embracing
- Floating
- Tranquil
- Celestial
- Breathless
- Symphonic
- Stillness
- Delightful
- Flawless
- Commanding
- Embraced
- Heartfelt
- Precise
- Adorned
- Beautiful
- Scattering
- Timeless
- Radiant
- Regal
- Sparkling
- Resilience
- Recognized
- Echoing
- Rebirth
- Cradled
- Tirelessly
- Glowing
- Icy
- Brilliant
- Anticipation
- Awakened
- Blossoming
- Enthralling
- Excitement
- Vivid
- Spellbound
- Mellifluous
- Intricate
- Silent
- Contrasting
- Poignant
- Perfumed
- Pure
- Magnificent
- Exquisite
- Anguished
- Harmonic
- Kaleidoscopic
- Gripping
- Soothing
- Intense
- Poetic
- Fragile
- Unwavering
- Intriguing
- Fairy-tale
- Ephemeral
- Joyous
- Resplendent
- Elegant
- Coaxing
- Illuminating
- Thunderous
- Cool
- Exciting
- Teeming
- Blissful
- Enduring
- Raw
- Adventurous
- Mysterious
- Enrapturing
- Marvelous
- Swirling
- Resonant
- Careful
- Whimsical
- Intertwining
- - and more
##  Usage example 
```python
from datasets import load_dataset
#Load the dataset
dataset = load_dataset("Falah/sentiments-dataset-381-classes")
#Convert the dataset to a pandas DataFrame
df = pd.DataFrame(dataset['train'])
#Get the unique class names from the "sentiment" column
class_names = df['sentiment'].unique()
#Print the unique class names
for name in class_names:
    print(f"Class Name: {name}")

```
## Application

The Sentiments Dataset (381 Classes) can be applied in various NLP applications, such as sentiment analysis and text classification.

## Citation
If you use this dataset in your research or publication, please cite it as follows:

For more information or inquiries about the dataset, please contact the dataset author(s) mentioned in the citation.

```
@dataset{sentiments_dataset_381_classes),
  author = {Falah.G.Salieh},
  title = {Sentiments Dataset (381 Classes)},
  year = {2023},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/Falah/sentiments-dataset-381-classes},
}
```
task_categories:text-classification size_categories:1K<n<10K language:en license:apache-2.0 region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["1K<n<10K"], "task_categories": ["text-classification"], "pretty_name": "sentiments-dataset-381-classes", "dataset_info": {"features": [{"name": "text", "dtype": "string"}, {"name": "sentiment", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 104602, "num_examples": 1061}], "download_size": 48213, "dataset_size": 104602}}
TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #region-us 

# Sentiments Dataset (381 Classes)

## Dataset Description
This dataset contains a collection of labeled sentences categorized into 381 different sentiment classes. The dataset provides a wide range of sentiment labels to facilitate fine-grained sentiment analysis tasks. Each sentence is associated with a sentiment class name.

## Dataset Information
- Number of classes: 381
- Features: 'text' (string), 'sentiment' (string)
- Number of examples: 1,061

## Class Names
The dataset includes the following sentiment class names as examples:
- Positive
- Negative
- Neutral
- Joyful
- Disappointed
- Worried
- Surprised
- Grateful
- Indifferent
- Sad
- Angry
- Relieved
- Sentiment
- Excited
- Hopeful
- Anxious
- Satisfied
- Happy
- Nostalgic
- Inspired
- Impressed
- Amazed
- Touched
- Proud
- Intrigued
- Relaxed
- Content
- Comforted
- Motivated
- Frustrated
- Delighted
- Moved
- Curious
- Fascinated
- Engrossed
- Addicted
- Eager
- Provoked
- Energized
- Controversial
- Significant
- Revolutionary
- Optimistic
- Impactful
- Compelling
- Enchanted
- Peaceful
- Disillusioned
- Thrilled
- Consumed
- Engaged
- Trendy
- Informative
- Appreciative
- Enthralled
- Enthusiastic
- Influenced
- Validated
- Reflective
- Emotional
- Concerned
- Promising
- Empowered
- Memorable
- Transformative
- Inclusive
- Groundbreaking
- Evocative
- Respectful
- Outraged
- Unity
- Enlightening
- Artistic
- Cultural
- Diverse
- Vibrant
- Prideful
- Captivated
- Revealing
- Inspiring
- Admiring
- Empowering
- Connecting
- Challenging
- Symbolic
- Immersed
- Evolving
- Insightful
- Reformative
- Celebratory
- Validating
- Diversity
- Eclectic
- Comprehensive
- Uniting
- Influential
- Honoring
- Transporting
- Resonating
- Chronicle
- Preserving
- Replicated
- Impressive
- Fascinating
- Tributary
- Momentum
- Awe-inspiring
- Unearthing
- Exploratory
- Immersive
- Transportive
- Personal
- Resilient
- Mesmerized
- Legendary
- Awareness
- Evidence-based
- Contemporary
- Connected
- Valuable
- Referencing
- Camaraderie
- Inspirational
- Evoke
- Emotive
- Chronicling
- Educational
- Serene
- Colorful
- Melodious
- Dramatic
- Enlivened
- Wonderstruck
- Enchanting
- Grandiose
- Abundant
- Harmonious
- Captivating
- Mesmerizing
- Dedicated
- Powerful
- Mystical
- Picturesque
- Opulent
- Revitalizing
- Fragrant
- Spellbinding
- Lush
- Breathtaking
- Passionate
- Melodic
- Wonderland
- Invigorating
- Dappled
- Flourishing
- Ethereal
- Elaborate
- Kaleidoscope
- Harmonizing
- Tragic
- Transforming
- Marveling
- Enveloped
- Reverberating
- Sanctuary
- Graceful
- Spectacular
- Golden
- Melancholic
- Transcendent
- Delicate
- Awakening
- Intertwined
- Indelible
- Verdant
- Heartrending
- Fiery
- Inviting
- Majestic
- Lullaby-like
- Kissed
- Behold
- Soulful
- Splendid
- Whispering
- Masterpiece
- Moving
- Crystalline
- Tapestry
- Haunting
- Renewal
- Wisdom-filled
- Stunning
- Sun-kissed
- Symphony
- Awestruck
- Dancing
- Heart-wrenching
- Magical
- Gentle
- Emotion-evoking
- Embracing
- Floating
- Tranquil
- Celestial
- Breathless
- Symphonic
- Stillness
- Delightful
- Flawless
- Commanding
- Embraced
- Heartfelt
- Precise
- Adorned
- Beautiful
- Scattering
- Timeless
- Radiant
- Regal
- Sparkling
- Resilience
- Recognized
- Echoing
- Rebirth
- Cradled
- Tirelessly
- Glowing
- Icy
- Brilliant
- Anticipation
- Awakened
- Blossoming
- Enthralling
- Excitement
- Vivid
- Spellbound
- Mellifluous
- Intricate
- Silent
- Contrasting
- Poignant
- Perfumed
- Pure
- Magnificent
- Exquisite
- Anguished
- Harmonic
- Kaleidoscopic
- Gripping
- Soothing
- Intense
- Poetic
- Fragile
- Unwavering
- Intriguing
- Fairy-tale
- Ephemeral
- Joyous
- Resplendent
- Elegant
- Coaxing
- Illuminating
- Thunderous
- Cool
- Exciting
- Teeming
- Blissful
- Enduring
- Raw
- Adventurous
- Mysterious
- Enrapturing
- Marvelous
- Swirling
- Resonant
- Careful
- Whimsical
- Intertwining
- - and more
##  Usage example 

## Application

The Sentiments Dataset (381 Classes) can be applied in various NLP applications, such as sentiment analysis and text classification.

If you use this dataset in your research or publication, please cite it as follows:

For more information or inquiries about the dataset, please contact the dataset author(s) mentioned in the citation.


# Sentiments Dataset (381 Classes) ## Dataset Description
This dataset contains a collection of labeled sentences categorized into 381 different sentiment classes. The dataset provides a wide range of sentiment labels to facilitate fine-grained sentiment analysis tasks. Each sentence is associated with a sentiment class name. ## Dataset Information
- Number of classes: 381
- Features: 'text' (string), 'sentiment' (string)
- Number of examples: 1,061 ## Class Names
The dataset includes the following sentiment class names as examples:
- Positive
- Negative
- Neutral
- Joyful
- Disappointed
- Worried
- Surprised
- Grateful
- Indifferent
- Sad
- Angry
- Relieved
- Sentiment
- Excited
- Hopeful
- Anxious
- Satisfied
- Happy
- Nostalgic
- Inspired
- Impressed
- Amazed
- Touched
- Proud
- Intrigued
- Relaxed
- Content
- Comforted
- Motivated
- Frustrated
- Delighted
- Moved
- Curious
- Fascinated
- Engrossed
- Addicted
- Eager
- Provoked
- Energized
- Controversial
- Significant
- Revolutionary
- Optimistic
- Impactful
- Compelling
- Enchanted
- Peaceful
- Disillusioned
- Thrilled
- Consumed
- Engaged
- Trendy
- Informative
- Appreciative
- Enthralled
- Enthusiastic
- Influenced
- Validated
- Reflective
- Emotional
- Concerned
- Promising
- Empowered
- Memorable
- Transformative
- Inclusive
- Groundbreaking
- Evocative
- Respectful
- Outraged
- Unity
- Enlightening
- Artistic
- Cultural
- Diverse
- Vibrant
- Prideful
- Captivated
- Revealing
- Inspiring
- Admiring
- Empowering
- Connecting
- Challenging
- Symbolic
- Immersed
- Evolving
- Insightful
- Reformative
- Celebratory
- Validating
- Diversity
- Eclectic
- Comprehensive
- Uniting
- Influential
- Honoring
- Transporting
- Resonating
- Chronicle
- Preserving
- Replicated
- Impressive
- Fascinating
- Tributary
- Momentum
- Awe-inspiring
- Unearthing
- Exploratory
- Immersive
- Transportive
- Personal
- Resilient
- Mesmerized
- Legendary
- Awareness
- Evidence-based
- Contemporary
- Connected
- Valuable
- Referencing
- Camaraderie
- Inspirational
- Evoke
- Emotive
- Chronicling
- Educational
- Serene
- Colorful
- Melodious
- Dramatic
- Enlivened
- Wonderstruck
- Enchanting
- Grandiose
- Abundant
- Harmonious
- Captivating
- Mesmerizing
- Dedicated
- Powerful
- Mystical
- Picturesque
- Opulent
- Revitalizing
- Fragrant
- Spellbinding
- Lush
- Breathtaking
- Passionate
- Melodic
- Wonderland
- Invigorating
- Dappled
- Flourishing
- Ethereal
- Elaborate
- Kaleidoscope
- Harmonizing
- Tragic
- Transforming
- Marveling
- Enveloped
- Reverberating
- Sanctuary
- Graceful
- Spectacular
- Golden
- Melancholic
- Transcendent
- Delicate
- Awakening
- Intertwined
- Indelible
- Verdant
- Heartrending
- Fiery
- Inviting
- Majestic
- Lullaby-like
- Kissed
- Behold
- Soulful
- Splendid
- Whispering
- Masterpiece
- Moving
- Crystalline
- Tapestry
- Haunting
- Renewal
- Wisdom-filled
- Stunning
- Sun-kissed
- Symphony
- Awestruck
- Dancing
- Heart-wrenching
- Magical
- Gentle
- Emotion-evoking
- Embracing
- Floating
- Tranquil
- Celestial
- Breathless
- Symphonic
- Stillness
- Delightful
- Flawless
- Commanding
- Embraced
- Heartfelt
- Precise
- Adorned
- Beautiful
- Scattering
- Timeless
- Radiant
- Regal
- Sparkling
- Resilience
- Recognized
- Echoing
- Rebirth
- Cradled
- Tirelessly
- Glowing
- Icy
- Brilliant
- Anticipation
- Awakened
- Blossoming
- Enthralling
- Excitement
- Vivid
- Spellbound
- Mellifluous
- Intricate
- Silent
- Contrasting
- Poignant
- Perfumed
- Pure
- Magnificent
- Exquisite
- Anguished
- Harmonic
- Kaleidoscopic
- Gripping
- Soothing
- Intense
- Poetic
- Fragile
- Unwavering
- Intriguing
- Fairy-tale
- Ephemeral
- Joyous
- Resplendent
- Elegant
- Coaxing
- Illuminating
- Thunderous
- Cool
- Exciting
- Teeming
- Blissful
- Enduring
- Raw
- Adventurous
- Mysterious
- Enrapturing
- Marvelous
- Swirling
- Resonant
- Careful
- Whimsical
- Intertwining
- - and more ##  Usage example ## Application

The Sentiments Dataset (381 Classes) can be applied in various NLP applications, such as sentiment analysis and text classification.

If you use this dataset in your research or publication, please cite it as follows:

For more information or inquiries about the dataset, please contact the dataset author(s) mentioned in the citation.
TAGS
#task_categories-text-classification #size_categories-1K<n<10K #language-English #license-apache-2.0 #region-us 
 # Sentiments Dataset (381 Classes) ## Dataset Description
This dataset contains a collection of labeled sentences categorized into 381 different sentiment classes. The dataset provides a wide range of sentiment labels to facilitate fine-grained sentiment analysis tasks. Each sentence is associated with a sentiment class name. ## Dataset Information
- Number of classes: 381
- Features: 'text' (string), 'sentiment' (string)
- Number of examples: 1,061 ## Class Names
The dataset includes the following sentiment class names as examples:
- Positive
- Negative
- Neutral
- Joyful
- Disappointed
- Worried
- Surprised
- Grateful
- Indifferent
- Sad
- Angry
- Relieved
- Sentiment
- Excited
- Hopeful
- Anxious
- Satisfied
- Happy
- Nostalgic
- Inspired
- Impressed
- Amazed
- Touched
- Proud
- Intrigued
- Relaxed
- Content
- Comforted
- Motivated
- Frustrated
- Delighted
- Moved
- Curious
- Fascinated
- Engrossed
- Addicted
- Eager
- Provoked
- Energized
- Controversial
- Significant
- Revolutionary
- Optimistic
- Impactful
- Compelling
- Enchanted
- Peaceful
- Disillusioned
- Thrilled
- Consumed
- Engaged
- Trendy
- Informative
- Appreciative
- Enthralled
- Enthusiastic
- Influenced
- Validated
- Reflective
- Emotional
- Concerned
- Promising
- Empowered
- Memorable
- Transformative
- Inclusive
- Groundbreaking
- Evocative
- Respectful
- Outraged
- Unity
- Enlightening
- Artistic
- Cultural
- Diverse
- Vibrant
- Prideful
- Captivated
- Revealing
- Inspiring
- Admiring
- Empowering
- Connecting
- Challenging
- Symbolic
- Immersed
- Evolving
- Insightful
- Reformative
- Celebratory
- Validating
- Diversity
- Eclectic
- Comprehensive
- Uniting
- Influential
- Honoring
- Transporting
- Resonating
- Chronicle
- Preserving
- Replicated
- Impressive
- Fascinating
- Tributary
- Momentum
- Awe-inspiring
- Unearthing
- Exploratory
- Immersive
- Transportive
- Personal
- Resilient
- Mesmerized
- Legendary
- Awareness
- Evidence-based
- Contemporary
- Connected
- Valuable
- Referencing
- Camaraderie
- Inspirational
- Evoke
- Emotive
- Chronicling
- Educational
- Serene
- Colorful
- Melodious
- Dramatic
- Enlivened
- Wonderstruck
- Enchanting
- Grandiose
- Abundant
- Harmonious
- Captivating
- Mesmerizing
- Dedicated
- Powerful
- Mystical
- Picturesque
- Opulent
- Revitalizing
- Fragrant
- Spellbinding
- Lush
- Breathtaking
- Passionate
- Melodic
- Wonderland
- Invigorating
- Dappled
- Flourishing
- Ethereal
- Elaborate
- Kaleidoscope
- Harmonizing
- Tragic
- Transforming
- Marveling
- Enveloped
- Reverberating
- Sanctuary
- Graceful
- Spectacular
- Golden
- Melancholic
- Transcendent
- Delicate
- Awakening
- Intertwined
- Indelible
- Verdant
- Heartrending
- Fiery
- Inviting
- Majestic
- Lullaby-like
- Kissed
- Behold
- Soulful
- Splendid
- Whispering
- Masterpiece
- Moving
- Crystalline
- Tapestry
- Haunting
- Renewal
- Wisdom-filled
- Stunning
- Sun-kissed
- Symphony
- Awestruck
- Dancing
- Heart-wrenching
- Magical
- Gentle
- Emotion-evoking
- Embracing
- Floating
- Tranquil
- Celestial
- Breathless
- Symphonic
- Stillness
- Delightful
- Flawless
- Commanding
- Embraced
- Heartfelt
- Precise
- Adorned
- Beautiful
- Scattering
- Timeless
- Radiant
- Regal
- Sparkling
- Resilience
- Recognized
- Echoing
- Rebirth
- Cradled
- Tirelessly
- Glowing
- Icy
- Brilliant
- Anticipation
- Awakened
- Blossoming
- Enthralling
- Excitement
- Vivid
- Spellbound
- Mellifluous
- Intricate
- Silent
- Contrasting
- Poignant
- Perfumed
- Pure
- Magnificent
- Exquisite
- Anguished
- Harmonic
- Kaleidoscopic
- Gripping
- Soothing
- Intense
- Poetic
- Fragile
- Unwavering
- Intriguing
- Fairy-tale
- Ephemeral
- Joyous
- Resplendent
- Elegant
- Coaxing
- Illuminating
- Thunderous
- Cool
- Exciting
- Teeming
- Blissful
- Enduring
- Raw
- Adventurous
- Mysterious
- Enrapturing
- Marvelous
- Swirling
- Resonant
- Careful
- Whimsical
- Intertwining
- - and more ##  Usage example ## Application

The Sentiments Dataset (381 Classes) can be applied in various NLP applications, such as sentiment analysis and text classification.

If you use this dataset in your research or publication, please cite it as follows:

For more information or inquiries about the dataset, please contact the dataset author(s) mentioned in the citation.