feat(dataset): upload dataset files of some shortlisted categories for 15_min_15_core

README.md

@@ -4,12 +4,29 @@ configs:
   data_files:
   - path: data/15_min_0_core/train-*.parquet
     split: train
+- config_name: 15_min_15_core_shortlisted_direct
+  data_files:
+  - path: data/15_min_15_core_shortlisted/direct/shortlisted.train.parquet
+    split: train
+  - path: data/15_min_15_core_shortlisted/direct/shortlisted.valid.parquet
+    split: validation
+  - path: data/15_min_15_core_shortlisted/direct/shortlisted.test.parquet
+    split: test
+- config_name: 15_min_15_core_shortlisted_seq
+  data_files:
+  - path: data/15_min_15_core_shortlisted/seq/shortlisted.train.parquet
+    split: train
+  - path: data/15_min_15_core_shortlisted/seq/shortlisted.valid.parquet
+    split: validation
+  - path: data/15_min_15_core_shortlisted/seq/shortlisted.test.parquet
+    split: test
 language:
 - en
 license: apache-2.0
 task_categories:
 - text-classification
-- other
+- feature-extraction
+- sentence-similarity
 ---
 
 # Amazon Reviews 2023 Filtered

data/15_min_15_core_shortlisted/direct/shortlisted.test.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff02cba7b9cde00a5fc14ea29d5f14eca81c2f3e01499ac805422cb266416208
+size 22822044

data/15_min_15_core_shortlisted/direct/shortlisted.train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4941580e07c3df40ae5ec8e1a7f6e8db2a663c15d36817611eea6ba27a4a7ef0
+size 406696587

data/15_min_15_core_shortlisted/direct/shortlisted.valid.parquet

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+oid sha256:9afeb6fdef3de6643a03e917c90d06588b0064a8ae81e14d0d9c124019a70c66
+size 25020511

data/15_min_15_core_shortlisted/info.md

@@ -0,0 +1,33 @@
+# 15-Core Filtered Dataset
+
+## Overview
+
+This dataset is derived from the Amazon Reviews 2023 Dataset and has been processed through multiple filtering stages to ensure data quality and relevance:
+
+1. **Quality Filter**: Removed reviews shorter than 15 characters
+2. **15-Core Algorithm**: Retained only products with ≥15 reviews and users with ≥15 reviews
+3. **Category Selection**: Filtered to a curated shortlist of high-quality categories
+4. **Train/Validation/Test Split**: Divided into standard machine learning partitions
+
+## Dataset Variants
+
+- **Standard**: Original filtered data
+- **Enhanced**: Enriched version with user review history
+
+## Categories
+
+- All_Beauty
+- Appliances
+- Arts_Crafts_and_Sewing
+- Baby_Products
+- CDs_and_Vinyl
+- Digital_Music
+- Gift_Cards
+- Grocery_and_Gourmet_Food
+- Handmade_Products
+- Health_and_Personal_Care
+- Industrial_and_Scientific
+- Magazine_Subscriptions
+- Musical_Instruments
+- Software
+- Video_Games

data/15_min_15_core_shortlisted/seq/shortlisted.test.parquet

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+size 26318688

data/15_min_15_core_shortlisted/seq/shortlisted.train.parquet

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+oid sha256:33647fc720dc24aa8204b6e0fc6b3ecd5b6018c463ee74fd9c2e0634dacf4c9c
+size 423655465

data/15_min_15_core_shortlisted/seq/shortlisted.valid.parquet

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