Update README.md

README.md

@@ -14,14 +14,14 @@ tags:
 - innerinetwork
 pretty_name: 'Hashtag Consciousness '
 size_categories:
-- 10K<n<100K
+- n<1K
 ---
-# InnerI/consciousness-hashtag-100k
-Dataset Card for consciousness-hashtag-100k
+# InnerI/consciousness-hashtag
+Dataset Card for consciousness-hashtag
 
 ## Dataset Summary
-The consciousness-hashtag-100k dataset, curated by InnerI (in collaboration with macrocosmos.ai), is a dynamic collection of 100,000 English-language tweets sourced from X (formerly Twitter) that contain the word "consciousness" or the hashtag #consciousness. This dataset encapsulates a global dialogue on awareness, weaving together philosophical inquiries, scientific explorations, spiritual awakenings, and speculative discussions on topics like AI sentience, panpsychism, and the nature of the self. From casual reflections ("That moment of pure consciousness at sunrise #consciousness") to deep dives ("Microtubules as the seat of consciousness? Let's debate. #neuroscience"), these tweets form a living archive of human curiosity about what it means to be.
-Ideal for NLP researchers, philosophers, cognitive scientists, and AI ethicists, this dataset powers tasks like sentiment analysis on existential themes, topic modeling of spiritual trends, and training models to understand consciousness discourse. Whether you're mapping societal shifts in awareness or fine-tuning LLMs for introspective text generation, #consciousness-hashtag-100k is your gateway to the collective mind.
+The consciousness-hashtag dataset, curated by InnerI (in collaboration with macrocosmos.ai), is a dynamic collection of 988 English-language tweets sourced from X (formerly Twitter) that contain the word "consciousness" or the hashtag #consciousness. This dataset encapsulates a global dialogue on awareness, weaving together philosophical inquiries, scientific explorations, spiritual awakenings, and speculative discussions on topics like AI sentience, panpsychism, and the nature of the self. From casual reflections ("That moment of pure consciousness at sunrise #consciousness") to deep dives ("Microtubules as the seat of consciousness? Let's debate. #neuroscience"), these tweets form a living archive of human curiosity about what it means to be.
+Ideal for NLP researchers, philosophers, cognitive scientists, and AI ethicists, this dataset powers tasks like sentiment analysis on existential themes, topic modeling of spiritual trends, and training models to understand consciousness discourse. Whether you're mapping societal shifts in awareness or fine-tuning LLMs for introspective text generation, #consciousness-hashtag is your gateway to the collective mind.
 
 ## Supported Tasks
 
@@ -73,7 +73,7 @@ To split in code:
 from datasets import load_dataset
 import random
 
-dataset = load_dataset("InnerI/consciousness-hashtag-100k")
+dataset = load_dataset("InnerI/consciousness-hashtag")
 # Random split example
 dataset = dataset["train"].train_test_split(test_size=0.2, seed=42)
 ```
@@ -86,7 +86,7 @@ Curated to mirror the evolving public fascination with consciousness—fueled by
 - Platform: X (formerly Twitter).
 - Collection Method: Scraped via X API using keyword/hashtag filters ("consciousness" OR "#consciousness"), deduplicated, and limited to English-language tweets. No manual curation; automated filtering for relevance.
 - Time Period: Spans up to October 2025, with timestamps in datetime for precise tracking.
-- Size: Exactly 100,000 tweets, post-preprocessing (e.g., removal of spam/low-engagement posts).
+- Size: 988 tweets, post-preprocessing (e.g., removal of spam/low-engagement posts).
 - Preprocessing: Basic cleaning (e.g., URL normalization, hashtag extraction); no advanced annotation.
 
 ## Annotations
@@ -106,7 +106,7 @@ This dataset democratizes access to consciousness discourse, supporting research
 
 - Null Fields: ~20% of metadata (e.g., user_id, language) may be null due to API restrictions or privacy deletions—handle with imputation or filtering.
 - Noise: Includes tangential tweets (e.g., "consciousness in marketing"); apply relevance scoring for precision.
-- Size Constraints: 100K is substantial but not exhaustive; for larger scales, combine with similar datasets.
+- Size Constraints: Substantial but not exhaustive; for larger scales, combine with similar datasets.
 - Privacy/Ethics: Usernames/IDs are anonymized where possible; avoid re-identification in publications.
 
 Additional Information
@@ -121,10 +121,10 @@ Please cite this dataset as:
 ```
 @dataset{InnerI_2025,
   author = {InnerI and macrocosmos.ai},
-  title = {consciousness-hashtag-100k: A 100K Tweet Dataset on Consciousness Discourse},
+  title = {consciousness-hashtag: A 100K Tweet Dataset on Consciousness Discourse},
   year = {2025},
   publisher = {Hugging Face},
-  url = {https://huggingface.co/datasets/InnerI/consciousness-hashtag-100k}
+  url = {https://huggingface.co/datasets/InnerI/consciousness-hashtag}
 }
 ```
 ## Contributions
@@ -137,7 +137,7 @@ from datasets import load_dataset
 import pandas as pd
 
 # Load the dataset
-dataset = load_dataset("InnerI/consciousness-hashtag-100k")
+dataset = load_dataset("InnerI/consciousness-hashtag")
 
 # Quick peek
 print(dataset["train"][0])  # First tweet
@@ -151,4 +151,4 @@ print(df["datetime"].describe())  # Temporal overview
 recent = df[df["datetime"] > "2025-01-01"]
 print(recent["text"].str.contains("#consciousness").sum())  # Count with hashtag
 ```
-Dive deeper: What thread of consciousness calls to you? Share your analyses with #consciousness-hashtag-100k 🚀
+Dive deeper: What thread of consciousness calls to you? Share your analyses with #consciousness-hashtag 🚀