Update README.md

README.md

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-## Training data
-* **Source:** custom, manually annotated CBDC sentences
-* **Size:** 2,405 sentences
-
-**Class distribution:**
-* `neutral`: 1,068 (44.41%)
-* `positive`: 1,026 (42.66%)
-* `negative`: 311 (12.93%)
-
-**Splits** (row-wise, stratified by label):
-* **train:** 1,924
-* **validation:** 240
-* **test:** 241
+
+**Training data:** The dataset consists of **2,405** custom, *manually annotated* sentences related to Central Bank Digital Currencies (CBDCs). The class distribution is **neutral**: *1,068* (44.41%), **positive**: *1,026* (42.66%), and **negative**: *311* (12.93%). The data is split **row-wise**, stratified by label, into **train**: *1,924*, **validation**: *240*, and **test**: *241* examples.
 
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