added json and updated README.md

.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
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+*.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -121,3 +121,71 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+# Amazon Combined Dataset
+
+## Data Fields
+
+| Field | Type |  Explanation |
+| ----- | ---- | ----------- |
+| main_category | str | Main category (i.e., domain) of the product. |
+| title | str | Name of the product. |
+| average_rating | float | Rating of the product shown on the product page. |
+| rating_number | int | Number of ratings in the product. |
+| features | list | Bullet-point format features of the product. |
+| description | list | Description of the product. |
+| price  | float | Price in US dollars (at time of crawling). |
+| images | list |  Images of the product. Each image has different sizes (thumb, large, hi_res). The “variant” field shows the position of image. |
+| videos | list | Videos of the product including title and url. |
+| store | str | Store name of the product. |
+| categories | list | Hierarchical categories of the product. |
+| details | dict | Product details, including materials, brand, sizes, etc. |
+| asin | str | ID of the product. |
+| parent_asin | str | Parent ID of the product (should be same as ASIN) |
+| bought_together | list | Recommended bundles from the websites. |
+| reviews | list[Review] | List of User Reviews, see below. |
+| qa_pairs | list[str, list[Answers]] | List with question text and list of Answers, see below. |
+
+### For User Reviews
+
+| Field | Type |  Explanation |
+| ----- | ---- | ----------- |
+| rating | float | Rating of the product (from 1.0 to 5.0). |
+| title  | str | Title of the user review. |
+| text   | str | Text body of the user review. |
+| images | list | Images that users post after they have received the product. Each image has different sizes (small, medium, large), represented by the small_image_url, medium_image_url, and large_image_url respectively. |
+| asin  | str | ID of the product. |
+| parent_asin | str | Parent ID of the product. Note: Products with different colors, styles, sizes usually belong to the same parent ID. The “asin” in previous Amazon datasets is actually parent ID. <b>Please use parent ID to find product meta.</b> |
+| user_id | str | ID of the reviewer |
+| timestamp | int | Time of the review (unix time) |
+| verified_purchase | bool | User purchase verification |
+| helpful_vote | int | Helpful votes of the review |
+
+### For Answers
+
+| Field | Type |  Explanation |
+| ----- | ---- | ----------- |
+| answer | str | manually written natural-sounding answer if label >= 1 |
+| candidate | str | Text used to justify answer |
+| label | int | 2 means fully answering, 1 means helpful but not fully answering, 0 means irrelevant |
+
+## Datasets Used
+
+[Amazon Reviews 2023](https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023)
+```
+@article{hou2024bridging,
+  title={Bridging Language and Items for Retrieval and Recommendation},
+  author={Hou, Yupeng and Li, Jiacheng and He, Zhankui and Yan, An and Chen, Xiusi and McAuley, Julian},
+  journal={arXiv preprint arXiv:2403.03952},
+  year={2024}
+}
+```
+[ePQA](https://github.com/amazon-science/contextual-product-qa)
+```
+@article{shen2023xpqa,
+  title={xPQA: Cross-Lingual Product Question Answering across 12 Languages},
+  author={Shen, Xiaoyu and Asai, Akari and Byrne, Bill and de Gispert, Adri{\`a}},
+  journal={arXiv preprint arXiv:2305.09249},
+  year={2023}
+}
+```

combined.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d8b9279a83d0239878cadbfd5963575094a28837b25beae2c8d49b6f9d0af544
+size 39322791