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README.md

@@ -1,88 +1,74 @@
 ---
 license: mit
 task_categories:
-- text-classification
+  - text-classification
 language:
-- en
+  - en
 tags:
-- finance
-- sentiment-analysis
-- stock-market
-- twitter
-- trading
-- finbert
+  - finance
+  - sentiment-analysis
+  - stock-market
+  - twitter
+  - trading
+  - finbert
 size_categories:
-- 10K<n<100K
+  - 10K<n<100K
 dataset_info:
   features:
-  - name: timestamp
-    dtype: string
-  - name: ticker
-    dtype: string
-  - name: tweet_url
-    dtype: string
-  - name: label_1d_3class
-    dtype:
-      class_label:
-        names:
-          '0': BUY
-          '1': HOLD
-          '2': SELL
-  - name: author
-    dtype: string
-  - name: category
-    dtype: string
-  - name: session
-    dtype: string
-  - name: market_regime
-    dtype: string
-  - name: sector
-    dtype: string
-  - name: market_cap_bucket
-    dtype: string
-  - name: volatility_7d
-    dtype: float32
-  - name: relative_volume
-    dtype: float32
-  - name: rsi_14
-    dtype: float32
-  - name: distance_from_ma_20
-    dtype: float32
-  - name: return_5d
-    dtype: float32
-  - name: return_20d
-    dtype: float32
-  - name: above_ma_20
-    dtype: float32
-  - name: slope_ma_20
-    dtype: float32
-  - name: gap_open
-    dtype: float32
-  - name: intraday_range
-    dtype: float32
-  - name: text
-    dtype: string
+    - name: timestamp
+      dtype: string
+    - name: ticker
+      dtype: string
+    - name: tweet_url
+      dtype: string
+    - name: label_1d_3class
+      dtype:
+        class_label:
+          names:
+            '0': BUY
+            '1': HOLD
+            '2': SELL
+    - name: author
+      dtype: string
+    - name: category
+      dtype: string
+    - name: session
+      dtype: string
+    - name: market_regime
+      dtype: string
+    - name: sector
+      dtype: string
+    - name: market_cap_bucket
+      dtype: string
+    - name: volatility_7d
+      dtype: float32
+    - name: relative_volume
+      dtype: float32
+    - name: rsi_14
+      dtype: float32
+    - name: distance_from_ma_20
+      dtype: float32
+    - name: return_5d
+      dtype: float32
+    - name: return_20d
+      dtype: float32
+    - name: above_ma_20
+      dtype: float32
+    - name: slope_ma_20
+      dtype: float32
+    - name: gap_open
+      dtype: float32
+    - name: intraday_range
+      dtype: float32
+    - name: text
+      dtype: string
   splits:
-  - name: train
-    num_bytes: 16461460
-    num_examples: 30427
-  - name: validation
-    num_bytes: 3465436
-    num_examples: 6520
-  - name: test
-    num_bytes: 3741163
-    num_examples: 6521
-  download_size: 7080883
-  dataset_size: 23668059
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+    - name: train
+      num_examples: 30428
+    - name: validation
+      num_examples: 6520
+    - name: test
+      num_examples: 6520
 ---
 
 # FinTweet Sentiment Dataset 2025
@@ -100,7 +86,7 @@ This dataset combines social media signals from financial Twitter accounts with
 | **Time Period** | 2024-2025 |
 | **Total Samples** | 43,468 |
 | **Target Variable** | 3-class: BUY, HOLD, SELL |
-| **Split Strategy** | Temporal 80/10/10 |
+| **Split Strategy** | Temporal 70/15/15 |
 
 ### Class Distribution
 
@@ -162,9 +148,9 @@ This dataset combines social media signals from financial Twitter accounts with
 
 | Split | Samples | Time Period |
 |-------|---------|-------------|
-| train | 34,774 | Earliest 80% |
-| validation | 4,346 | Middle 10% |
-| test | 4,348 | Latest 10% |
+| train | 30,428 | Earliest 70% |
+| validation | 6,520 | Middle 15% |
+| test | 6,520 | Latest 15% |
 
 Splits are **temporal** (chronologically ordered) to prevent data leakage and simulate real-world deployment.