update script

dataset_infos.json

@@ -0,0 +1 @@
+{"mmchat": {"description": "MMChat is a large-scale dialogue dataset that contains image-grounded dialogues in Chinese.\nEach dialogue in MMChat is associated with one or more images (maximum 9 images per dialogue).\nWe design various strategies to ensure the quality of the dialogues in MMChat.\n", "citation": "@inproceedings{zheng2022MMChat,\nauthor    = {Zheng, Yinhe and Chen, Guanyi and Liu, Xin and Sun, Jian},\ntitle     = {MMChat: Multi-Modal Chat Dataset on Social Media},\nbooktitle = {Proceedings of The 13th Language Resources and Evaluation Conference},\nyear      = {2022},\npublisher = {European Language Resources Association},\n}\n\n@inproceedings{wang2020chinese,\n  title     = {A Large-Scale Chinese Short-Text Conversation Dataset},\n  author    = {Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie},\n  booktitle = {NLPCC},\n  year      = {2020},\n  url       = {https://arxiv.org/abs/2008.03946}\n}\n", "homepage": "https://github.com/silverriver/MMChat", "license": "MIT", "features": {"dialog": [{"dtype": "string", "id": null, "_type": "Value"}], "weibo_content": {"dtype": "string", "id": null, "_type": "Value"}, "imgs": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "mmchat", "config_name": "mmchat", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 35036683, "num_examples": 115842, "dataset_name": "mmchat"}, "test": {"name": "test", "num_bytes": 1242236, "num_examples": 4000, "dataset_name": "mmchat"}, "validation": {"name": "validation", "num_bytes": 305657, "num_examples": 1000, "dataset_name": "mmchat"}}, "download_checksums": {"https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/dialog_train.jsonl.gz": {"num_bytes": 4001249, "checksum": "7dd8948dbbd7d3865a69df7c737b3f2c530d57258ca378ab74aca1f4587d7fb5"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/img_url_train.jsonl.gz": {"num_bytes": 5301433, "checksum": "9337c9e96497f0f8d6c01ee30afd7c1feaafd2f669661fe48052f41e3baf7aeb"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/weibo_train.jsonl.gz": {"num_bytes": 3441, "checksum": "cbcc11ccea2d9dd75047c7fe80ecc3eceaddf555eb2136c5cae78725cb44ed54"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/dialog_dev.jsonl.gz": {"num_bytes": 35976, "checksum": "bf241f920b088b8e1d1bfd3c62d41cca9e76d60f9d35dc0da71d4ca4ee2855b4"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/img_url_dev.jsonl.gz": {"num_bytes": 46607, "checksum": "7322d42af425820fc4cdb570a9400bc2623f726d304131ab2494fc11779309eb"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/weibo_dev.jsonl.gz": {"num_bytes": 101, "checksum": 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strategies to ensure the quality of the dialogues in MMChat.\n", "citation": "@inproceedings{zheng2022MMChat,\nauthor    = {Zheng, Yinhe and Chen, Guanyi and Liu, Xin and Sun, Jian},\ntitle     = {MMChat: Multi-Modal Chat Dataset on Social Media},\nbooktitle = {Proceedings of The 13th Language Resources and Evaluation Conference},\nyear      = {2022},\npublisher = {European Language Resources Association},\n}\n\n@inproceedings{wang2020chinese,\n  title     = {A Large-Scale Chinese Short-Text Conversation Dataset},\n  author    = {Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie},\n  booktitle = {NLPCC},\n  year      = {2020},\n  url       = {https://arxiv.org/abs/2008.03946}\n}\n", "homepage": "https://github.com/silverriver/MMChat", "license": "MIT", "features": {"dialog": [{"dtype": "string", "id": null, "_type": "Value"}], "weibo_content": {"dtype": "string", "id": null, "_type": "Value"}, "imgs": [{"dtype": "string", "id": null, "_type": "Value"}], "labels": {"image_qualified": {"dtype": "bool", "id": null, "_type": "Value"}, "dialog_qualified": {"dtype": "bool", "id": null, "_type": "Value"}, "dialog_image_related": {"dtype": "bool", "id": null, "_type": "Value"}}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "mmchat", "config_name": "mmchat_hf", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 47268457, "num_examples": 100011, "dataset_name": "mmchat"}}, "download_checksums": {"https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_hf/dialog.jsonl.gz": {"num_bytes": 6826130, "checksum": "15fcf7756ec5ca39398a4ab9d68d14c403b1f4273781130f90dacb55a862c58a"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_hf/weibo_img_expanded_url.jsonl.gz": {"num_bytes": 7781846, "checksum": "58fccfe34603c92dcb435dde7f7f77f7468dba2df369a412a927d65041f18724"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_hf/weibo.jsonl.gz": {"num_bytes": 7084046, "checksum": "4031029e1abbdca3fa71755796a52f8f6788ae77390f2b7107822b8eb792bcb0"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_hf/human_annotation.jsonl.gz": {"num_bytes": 358333, "checksum": "6d34e113027e86f44af220c2c9ce09f909aaff045cd94fd5886b79a972b6e0b4"}}, "download_size": 22050355, "post_processing_size": null, "dataset_size": 47268457, "size_in_bytes": 69318812}, "mmchat_raw": {"description": "MMChat is a large-scale dialogue dataset that contains image-grounded dialogues in Chinese.\nEach dialogue in MMChat is associated with one or more images (maximum 9 images per dialogue).\nWe design various strategies to ensure the quality of the dialogues in MMChat.\n", "citation": "@inproceedings{zheng2022MMChat,\nauthor    = {Zheng, Yinhe and Chen, Guanyi and Liu, Xin and Sun, Jian},\ntitle     = {MMChat: Multi-Modal Chat Dataset on Social Media},\nbooktitle = {Proceedings of The 13th Language Resources and Evaluation Conference},\nyear      = {2022},\npublisher = {European Language Resources Association},\n}\n\n@inproceedings{wang2020chinese,\n  title     = {A Large-Scale Chinese Short-Text Conversation Dataset},\n  author    = {Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie},\n  booktitle = {NLPCC},\n  year      = {2020},\n  url       = {https://arxiv.org/abs/2008.03946}\n}\n", "homepage": "https://github.com/silverriver/MMChat", "license": "MIT", "features": {"dialog": [{"dtype": "string", "id": null, "_type": "Value"}], "weibo_content": {"dtype": "string", "id": null, "_type": "Value"}, "imgs": [{"dtype": "string", "id": null, "_type": "Value"}]}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "mmchat", "config_name": "mmchat_raw", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2012399665, "num_examples": 4256871, "dataset_name": "mmchat"}}, "download_checksums": {"https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/dialog_raw.jsonl.gz": {"num_bytes": 389104370, "checksum": "8d36cd302c42eee9a9d39032ff0e1d05975bd5aa2030eecd595e2e2964f6cadf"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/weibo_img_expanded_url_raw.jsonl.gz": {"num_bytes": 268962111, "checksum": "d0deae3fe9b2bced80ba424fa9110a4e52b583f5823723832ac628e943e0a228"}, "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_raw/weibo_raw.jsonl.gz": {"num_bytes": 329066732, "checksum": "d2616195f89040a0cb81d16261293f9ff002d2eb7981eebde2f631069f202521"}}, "download_size": 987133213, "post_processing_size": null, "dataset_size": 2012399665, "size_in_bytes": 2999532878}, "mmchat_lccc_filtered": {"description": "MMChat is a large-scale dialogue dataset that contains image-grounded dialogues in Chinese.\nEach dialogue in MMChat is associated with one or more images (maximum 9 images per dialogue).\nWe design various strategies to ensure the quality of the dialogues in MMChat.\n", "citation": "@inproceedings{zheng2022MMChat,\nauthor    = {Zheng, Yinhe and Chen, Guanyi and Liu, Xin and Sun, Jian},\ntitle     = {MMChat: Multi-Modal Chat Dataset on Social Media},\nbooktitle = {Proceedings of The 13th Language Resources and Evaluation Conference},\nyear      = {2022},\npublisher = {European Language Resources Association},\n}\n\n@inproceedings{wang2020chinese,\n  title     = {A Large-Scale Chinese Short-Text Conversation Dataset},\n  author    = {Wang, Yida and Ke, Pei and Zheng, Yinhe and Huang, Kaili and Jiang, Yong and Zhu, Xiaoyan and Huang, Minlie},\n  booktitle = {NLPCC},\n  year      = {2020},\n  url       = {https://arxiv.org/abs/2008.03946}\n}\n", "homepage": "https://github.com/silverriver/MMChat", "license": "MIT", 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mmchat.py

@@ -18,6 +18,7 @@ We design various strategies to ensure the quality of the dialogues in MMChat.
 """
 
 import json
+
 import datasets
 
 
@@ -50,22 +51,22 @@ _HOMEPAGE = "https://github.com/silverriver/MMChat"
 _LICENSE = "MIT"
 
 _URLS = {
-    "mmchat": { 
-        "train": [ 
+    "mmchat": {
+        "train": [
             "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/dialog_train.jsonl.gz",
             "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/img_url_train.jsonl.gz",
             "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/weibo_train.jsonl.gz",
         ],
-        "dev": [ 
+        "dev": [
             "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/dialog_dev.jsonl.gz",
             "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/img_url_dev.jsonl.gz",
             "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/weibo_dev.jsonl.gz",
         ],
-        "test": [ 
+        "test": [
             "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/dialog_test.jsonl.gz",
             "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/img_url_test.jsonl.gz",
             "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat/weibo_test.jsonl.gz",
-        ]
+        ],
     },
     "mmchat_hf": [
         "https://huggingface.co/datasets/silver/mmchat/resolve/main/mmchat_hf/dialog.jsonl.gz",
@@ -190,7 +191,8 @@ class MMChat(datasets.GeneratorBasedBuilder):
             label_f = open(label_file, encoding="utf-8")
 
         with open(dialog_file, encoding="utf-8") as dialog_f, open(weibo_file, encoding="utf-8") as weibo_f, open(
-            img_file, encoding="utf-8") as img_f:
+            img_file, encoding="utf-8"
+        ) as img_f:
             while True:
                 try:
                     dialog_line = dialog_f.readline().strip()
@@ -213,9 +215,7 @@ class MMChat(datasets.GeneratorBasedBuilder):
                             "labels": {
                                 "image_qualified": True if label["image_quality"] == "1" else False,
                                 "dialog_qualified": True if label["dialog_quality"] == "1" else False,
-                                "dialog_image_related": True
-                                if label["dialog_image_relativeness"] == "1"
-                                else False,
+                                "dialog_image_related": True if label["dialog_image_relativeness"] == "1" else False,
                             },
                         }
                     else: