Datasets:

Helsinki-NLP
/

xed_en_fi

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The dataset is carefully evaluated using language-specific BERT models and SVMs to\nshow that XED performs on par with other similar datasets and is therefore a useful tool for\nsentiment analysis and emotion detection.\n", "citation": "@inproceedings{ohman2020xed,\n title={XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection},\n author={{\"O}hman, Emily and P{\"a}mies, Marc and Kajava, Kaisla and Tiedemann, J{\"o}rg},\n booktitle={The 28th International Conference on Computational Linguistics (COLING 2020)},\n year={2020}\n}\n", "homepage": "", "license": "License: Creative Commons Attribution 4.0 International License (CC-BY)", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "labels": {"feature": {"num_classes": 9, "names": ["neutral", "anger", "anticipation", "disgust", "fear", "joy", "sadness", "surprise", "trust"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "xed_en_fi", "config_name": "en_annotated", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1018485, "num_examples": 17528, "dataset_name": "xed_en_fi"}}, "download_checksums": {"https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/en-annotated.tsv": {"num_bytes": 783663, "checksum": "26ac0254fbdb8b09cf2b00d44041d9084ece31bd200ae7c0e0662fbd8b037d98"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/fi-annotated.tsv": {"num_bytes": 560675, "checksum": "0b5ba26b2636c3a773b77a12b1b6a86a0b6ad49c6a50572ac43868d443992392"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/neu_en.txt": {"num_bytes": 314079, "checksum": "6e8b38af83b80fb64ec1139007973b1f09ec16d48549e82de22423cdba259f08"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/neu_fi.txt": {"num_bytes": 762818, "checksum": "05634a802d7ceb34b17a78c04bf240714b8b814524892cef85ffe67223e4c777"}}, "download_size": 2421235, "post_processing_size": null, "dataset_size": 1018485, "size_in_bytes": 3439720}, "en_neutral": {"description": "A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchik\u2019s\ncore emotions are used to annotate the dataset with the addition of neutral to create a multilabel multiclass\ndataset. The dataset is carefully evaluated using language-specific BERT models and SVMs to\nshow that XED performs on par with other similar datasets and is therefore a useful tool for\nsentiment analysis and emotion detection.\n", "citation": "@inproceedings{ohman2020xed,\n title={XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection},\n author={{\"O}hman, Emily and P{\"a}mies, Marc and Kajava, Kaisla and Tiedemann, J{\"o}rg},\n booktitle={The 28th International Conference on Computational Linguistics (COLING 2020)},\n year={2020}\n}\n", "homepage": "", "license": "License: Creative Commons Attribution 4.0 International License (CC-BY)", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "labels": {"num_classes": 9, "names": ["neutral", "anger", "anticipation", "disgust", "fear", "joy", "sadness", "surprise", "trust"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "xed_en_fi", "config_name": "en_neutral", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 401129, "num_examples": 9675, "dataset_name": "xed_en_fi"}}, "download_checksums": {"https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/en-annotated.tsv": {"num_bytes": 783663, "checksum": "26ac0254fbdb8b09cf2b00d44041d9084ece31bd200ae7c0e0662fbd8b037d98"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/fi-annotated.tsv": {"num_bytes": 560675, "checksum": "0b5ba26b2636c3a773b77a12b1b6a86a0b6ad49c6a50572ac43868d443992392"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/neu_en.txt": {"num_bytes": 314079, "checksum": "6e8b38af83b80fb64ec1139007973b1f09ec16d48549e82de22423cdba259f08"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/neu_fi.txt": {"num_bytes": 762818, "checksum": "05634a802d7ceb34b17a78c04bf240714b8b814524892cef85ffe67223e4c777"}}, "download_size": 2421235, "post_processing_size": null, "dataset_size": 401129, "size_in_bytes": 2822364}, "fi_annotated": {"description": "A multilingual fine-grained emotion dataset. The dataset consists of human annotated Finnish (25k) and English sentences (30k). Plutchik\u2019s\ncore emotions are used to annotate the dataset with the addition of neutral to create a multilabel multiclass\ndataset. The dataset is carefully evaluated using language-specific BERT models and SVMs to\nshow that XED performs on par with other similar datasets and is therefore a useful tool for\nsentiment analysis and emotion detection.\n", "citation": "@inproceedings{ohman2020xed,\n title={XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection},\n author={{\"O}hman, Emily and P{\"a}mies, Marc and Kajava, Kaisla and Tiedemann, J{\"o}rg},\n booktitle={The 28th International Conference on Computational Linguistics (COLING 2020)},\n year={2020}\n}\n", "homepage": "", "license": "License: Creative Commons Attribution 4.0 International License (CC-BY)", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "labels": {"feature": {"num_classes": 9, "names": ["neutral", "anger", "anticipation", "disgust", "fear", "joy", "sadness", "surprise", "trust"], "names_file": null, "id": null, "_type": "ClassLabel"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "xed_en_fi", "config_name": "fi_annotated", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 756224, "num_examples": 14449, "dataset_name": "xed_en_fi"}}, "download_checksums": {"https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/en-annotated.tsv": {"num_bytes": 783663, "checksum": "26ac0254fbdb8b09cf2b00d44041d9084ece31bd200ae7c0e0662fbd8b037d98"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/fi-annotated.tsv": {"num_bytes": 560675, "checksum": "0b5ba26b2636c3a773b77a12b1b6a86a0b6ad49c6a50572ac43868d443992392"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/neu_en.txt": {"num_bytes": 314079, "checksum": "6e8b38af83b80fb64ec1139007973b1f09ec16d48549e82de22423cdba259f08"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/neu_fi.txt": {"num_bytes": 762818, "checksum": "05634a802d7ceb34b17a78c04bf240714b8b814524892cef85ffe67223e4c777"}}, "download_size": 2421235, "post_processing_size": null, "dataset_size": 756224, "size_in_bytes": 3177459}, "fi_neutral": {"description": "A multilingual fine-grained emotion dataset. 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The dataset is carefully evaluated using language-specific BERT models and SVMs to\nshow that XED performs on par with other similar datasets and is therefore a useful tool for\nsentiment analysis and emotion detection.\n", "citation": "@inproceedings{ohman2020xed,\n title={XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection},\n author={{\"O}hman, Emily and P{\"a}mies, Marc and Kajava, Kaisla and Tiedemann, J{\"o}rg},\n booktitle={The 28th International Conference on Computational Linguistics (COLING 2020)},\n year={2020}\n}\n", "homepage": "", "license": "License: Creative Commons Attribution 4.0 International License (CC-BY)", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "labels": {"num_classes": 9, "names": ["neutral", "anger", "anticipation", "disgust", "fear", "joy", "sadness", "surprise", "trust"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "builder_name": "xed_en_fi", "config_name": "fi_neutral", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 427499, "num_examples": 10794, "dataset_name": "xed_en_fi"}}, "download_checksums": {"https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/en-annotated.tsv": {"num_bytes": 783663, "checksum": "26ac0254fbdb8b09cf2b00d44041d9084ece31bd200ae7c0e0662fbd8b037d98"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/fi-annotated.tsv": {"num_bytes": 560675, "checksum": "0b5ba26b2636c3a773b77a12b1b6a86a0b6ad49c6a50572ac43868d443992392"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/neu_en.txt": {"num_bytes": 314079, "checksum": "6e8b38af83b80fb64ec1139007973b1f09ec16d48549e82de22423cdba259f08"}, "https://raw.githubusercontent.com/Helsinki-NLP/XED/master/AnnotatedData/neu_fi.txt": {"num_bytes": 762818, "checksum": "05634a802d7ceb34b17a78c04bf240714b8b814524892cef85ffe67223e4c777"}}, "download_size": 2421235, "post_processing_size": null, "dataset_size": 427499, "size_in_bytes": 2848734}}