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dataset_infos.json

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-{"kasnerz--charttotext-s": {"description": "Chart-to-Text: A Large-Scale Benchmark for Chart Summarization\n", "citation": "@inproceedings{kantharaj2022chart,\n  title={Chart-to-Text: A Large-Scale Benchmark for Chart Summarization},\n  author={Kantharaj, Shankar and Leong, Rixie Tiffany and Lin, Xiang and Masry, Ahmed and Thakkar, Megh and Hoque, Enamul and Joty, Shafiq},\n  booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},\n  pages={4005--4023},\n  year={2022}\n}\n", "homepage": "https://github.com/vis-nlp/Chart-to-text/tree/main/statista_dataset/dataset", "license": "", "features": {"title": {"dtype": "string", "id": null, "_type": "Value"}, "ref": {"dtype": "string", "id": null, "_type": "Value"}, "content": {"dtype": "large_string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "charttotext-s", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 20426046, "num_examples": 24368, "dataset_name": "charttotext-s"}, "validation": {"name": "validation", "num_bytes": 4307124, "num_examples": 5221, "dataset_name": "charttotext-s"}, "test": {"name": "test", "num_bytes": 4470700, "num_examples": 5222, "dataset_name": "charttotext-s"}}, "download_checksums": null, "download_size": 14936818, "post_processing_size": null, "dataset_size": 29203870, "size_in_bytes": 44140688}}
+{"default": {
+    "description": "Chart-to-Text is a large-scale benchmark with two datasets and a total of 44,096 charts covering a wide range of topics and chart types.\nThis dataset CONTAINS ONLY the Statista subset from the benchmark. \nStatista (statista.com) is an online platform that regularly publishes charts on a wide range of topics including economics, market and opinion research.\n\nStatistics:\nTotal charts: 27868\n\n=== Chart Type Information ===\nNumber of charts of each chart type\ncolumn: 16319\nbar: 8272\nline: 2646\npie: 408\ntable: 223\n\n=== Token Information ===\nAverage token count per summary: 53.65027989091431\nTotal tokens: 1495126\nTotal types (unique tokens): 39598\n=== Sentence Information ===\nAverage sentence count per summary: 2.5596741782689825\n",
+    "citation": "@inproceedings{kantharaj2022chart,\n  title={Chart-to-Text: A Large-Scale Benchmark for Chart Summarization},\n  author={Kantharaj, Shankar and Leong, Rixie Tiffany and Lin, Xiang and Masry, Ahmed and Thakkar, Megh and Hoque, Enamul and Joty, Shafiq},\n  booktitle={Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},\n  pages={4005--4023},\n  year={2022}\n}\n",
+    "homepage": "https://github.com/vis-nlp/Chart-to-text/tree/main/statista_dataset/dataset",
+    "license": "GNU General Public License v3.0",
+    "features": {
+        "title": {
+            "dtype": "string",
+            "_type": "Value"
+        },
+        "ref": {
+            "dtype": "string",
+            "_type": "Value"
+        },
+        "content": {
+            "dtype": "large_string",
+            "_type": "Value"
+        }
+    },
+    "builder_name": "charttotext-s",
+    "config_name": "default",
+    "version": {
+        "version_str": "1.0.0",
+        "major": 1,
+        "minor": 0,
+        "patch": 0
+    },
+    "splits": {
+        "train": {
+            "name": "train",
+            "num_bytes": 20426046,
+            "num_examples": 24368,
+            "dataset_name": null
+        },
+        "validation": {
+            "name": "validation",
+            "num_bytes": 4307124,
+            "num_examples": 5221,
+            "dataset_name": null
+        },
+        "test": {
+            "name": "test",
+            "num_bytes": 4470700,
+            "num_examples": 5222,
+            "dataset_name": null
+        }
+    },
+    "download_size": 15181709,
+    "dataset_size": 29203870,
+    "size_in_bytes": 44385579
+}}