Update the link to TAAC2026
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README.md
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# TAAC2026 Demo Dataset (1000 Samples)
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A sample dataset containing 1000 user-item interaction records for the TAAC2026 competition
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## Dataset Description
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| Column | Type | Description |
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| `item_id` | `int64` | Target item identifier. |
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| `item_feature` | `array[struct]` | Array of target item feature dicts. Each element has `feature_id`, `feature_value_type`, and value fields (`float_value`, `int_array`, `int_value`). |
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| `label` | `array[struct]` | Array of label dicts. Each element contains `action_time` and `action_type`. |
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| `seq_feature` | `struct` | Sequence features dict with keys: `action_seq`, `content_seq`, `item_seq`. Each sub-key contains arrays of feature structs. |
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| `timestamp` | `int64` | Event timestamp. |
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# TAAC2026 Demo Dataset (1000 Samples)
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A sample dataset containing 1000 user-item interaction records for the [TAAC2026 competition](https://algo.qq.com).
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## Dataset Description
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| Column | Type | Description |
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|---|---|---|
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| `item_id` | `int64` | **Target item** identifier. |
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| `item_feature` | `array[struct]` | Array of **target item** feature dicts. Each element has `feature_id`, `feature_value_type`, and value fields (`float_value`, `int_array`, `int_value`). |
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| `label` | `array[struct]` | Array of label dicts. Each element contains `action_time` and `action_type`. |
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| `seq_feature` | `struct` | Sequence features dict with keys: `action_seq`, `content_seq`, `item_seq`. Each sub-key contains arrays of feature structs. |
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| `timestamp` | `int64` | Event timestamp. |
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