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+*.zst filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+language:
+  - en
+license: apache-2.0
+tags:
+  - text
+pretty_name: Amazon ESCI Hard Negatives
+size_categories:
+  - "100K<n<1M"
+source_datasets:
+  - Amazon ESCI
+task_categories:
+  - sentence-similarity
+dataset_info:
+  config_name: default
+  splits:
+    - name: train
+      num_bytes: 1
+      num_examples: 1
+    - name: test
+      num_bytes: 1
+      num_examples: 1      
+train-eval-index:
+  - config: default
+    task: sentence-similarity
+    splits:
+      train_split: train
+      eval_split: test
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: "data/train/*"
+  - split: test
+    path: "data/test/*"
+---
+
+# Amazon ESCI hard-negatives dataset
+
+A dataset in a [nixietune](https://github.com/nixiesearch/nixietune) compatible format:
+
+```json
+{
+  "query": "black cotton fabric by the yard",
+  "pos": [
+    {
+      "doc": "Black 100% Cotton Material Prepackaged by The Yard",
+      "bm25": 0.0,
+      "cosE5": 0.9253104
+    },
+    {
+      "doc": "Zen Creative Designs Cotton Fabric, Solid Black, 60\" Wide by 1 Yard/Easy to Sew/Great for Lining/Mask Making/Apparel/Quilting Projects and Hobbies (1 Yard)",
+      "bm25": 7.026509,
+      "cosE5": 0.9030106
+    }
+  ],
+  "neg": [
+    {
+      "doc": "PLAZALA 7PCS Cotton Craft Fabric Bundle Squares Patchwork DIY Sewing Scrapbooking Quilting 9.8\"x9.8\" (Black)",
+      "bm25": 0.0,
+      "cosE5": 0.87003165
+    },
+    {
+      "doc": "Connecting Threads Print Collection Precut Cotton Quilting Fabric Bundle Fat Quarters (Monochrome)",
+      "bm25": 0.0,
+      "cosE5": 0.86396176
+    },
+    {
+      "doc": "Dekoth -Cotton Fabric 100% Cotton Poplin Printed Woven Bundles Voile for DIY Crafting Patchwork Sewing, Full Width 1 Piece cuttable 39 x 56 inches (100x142cm) (Black with Grey Floral)",
+      "bm25": 0.0,
+      "cosE5": 0.8673507
+    }
+  ]
+```
+
+This is the expanded version of the [Amazon ESCI small-en](todo) dataset with the following additions:
+* for all queries, extra 32 negatives were genererated
+* negative generation was done with a [RRF](todo)-based hybrid search, mixing the BM25 score with cosine-similarity based on [intfloat/e5-base-v2] emnbedding model.
+* can be loaded with [HF datasets](todo) directly.
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+data = load_dataset('nixiesearch/amazon-esci-hardnegatives', split="train")
+```
+
+## License
+
+Apache 2.0

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