Duplicate from TAAC2026/data_sample_1000

Co-authored-by: Yuliang <cLinuss@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,60 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.avro filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,107 @@
+---
+license: cc-by-nc-4.0
+tags:
+  - TAAC2026
+  - recommendation
+---
+
+# TAAC2026 Demo Dataset (1000 Samples) 
+
+
+> [!WARNING] ⚠️**Update[2026.04.10]:**
+> This demo dataset has been updated to newest version with the following changes:
+> - The parquet file is now a **flat column layout**, with all features as top-level columns.
+> - Add a sequence feature, rename feature names and update some features.
+> Participants should refer to the updated `demo_1000.parquet` and this `README.md` for the latest schema and data details.
+
+
+A sample dataset containing 1000 user-item interaction records for the [TAAC2026 competition](https://algo.qq.com/). This dataset uses a **flat column layout** — all features are stored as individual top-level columns instead of nested structs/arrays.
+
+## Dataset Overview
+
+| Property | Value |
+|---|---|
+| **File** | `demo_1000.parquet` |
+| **Rows** | 1,000 |
+| **Columns** | 120 |
+| **File Size** | ~39 MB |
+
+## Columns
+
+The 120 columns fall into **6 categories**:
+
+| Category | Count | Data Type | Description |
+|---|---|---|---|
+| **ID & Label** | 5 | `int64` / `int32` | Core identifiers, label, and timestamp |
+| **User Int Features** | 46 | `int64` / `list<int64>` | Integer-valued user features (scalar or array) |
+| **User Dense Features** | 10 | `list<float>` | Float-array user features |
+| **Item Int Features** | 14 | `int64` / `list<int64>` | Integer-valued item features (scalar or array) |
+| **Domain Sequence Features** | 45 | `list<int64>` | Behavioral sequence features from 4 domains |
+
+---
+
+## Detailed Column Schema
+
+### ID & Label Columns (5 columns)
+
+All these 5 columns have no `null` value.
+
+| Column | Data Type | 
+|---|---|
+| `user_id` | `int64` |
+| `item_id` | `int64` |
+| `label_type` | `int32` | 
+| `label_time` | `int64` | 
+| `timestamp` | `int64` |
+
+> [!NOTE] **Note:**
+> When `user_int_feats_{fid}` and `user_dense_feats_{fid}` share the same `{fid}`, they are aligned and jointly describe the same entity or signal.
+
+### User Int Features (46 columns)
+
+- `user_int_feats_{1,3,4,48-59,82,86,92-109}`: Scalar `int64`, total 35 columns.
+- `user_int_feats_{15, 60, 62-66, 80, 89-91}`: Array `list<int64>`, total 11 columns.
+
+
+### User Dense Features (10 columns)
+
+- `user_dense_feats_{61-66, 87, 89-91}`: Array `list<float>`, total 10 columns.
+
+
+### Item Int Features (14 columns)
+
+- `item_int_feats_{5-10, 12-13, 16, 81, 83-85}`: Scalar `int64`, total 13 columns.
+- `item_int_feats_{11}`: Array `list<int64>`, total 1 column.
+
+
+### Domain Sequence Features (45 columns)
+
+`list<int64>` sequences from 4 behavioral domains:
+
+- `domain_a_seq_{38-46}`: 9 columns
+- `domain_b_seq_{67-79, 88}`: 14 columns
+- `domain_c_seq_{27-37, 47}`: 12 columns
+- `domain_d_seq_{17-26}`: 10 columns
+
+---
+
+## Usage
+
+```python
+import pyarrow.parquet as pq
+import pandas as pd
+
+# Read the parquet file
+df = pd.read_parquet("demo_1000.parquet")
+
+print(df.shape)       # (1000, 120)
+print(df.columns)     # ['user_id', 'item_id', 'label_type', ...]
+```
+
+With Hugging Face `datasets`:
+```python
+from datasets import load_dataset
+
+ds = load_dataset("TAAC2026/data_sample_1000")
+print(ds)
+```

demo_1000.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ceaa386ec322436231f2615e5ee89e791d79c727a788c0fb439b0ecb6b68848
+size 40268995