albertvillanova HF staff commited on
Commit
a1f70da
1 Parent(s): 2ec4bf3

Convert dataset to Parquet

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Convert dataset to Parquet.

README.md CHANGED
@@ -39,16 +39,25 @@ dataset_info:
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  '1': ENTAILMENT
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  splits:
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  - name: train
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- num_bytes: 864816
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  num_examples: 6500
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  - name: test
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- num_bytes: 339580
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  num_examples: 2448
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  - name: validation
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- num_bytes: 66895
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  num_examples: 500
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- download_size: 2113646
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- dataset_size: 1271291
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for ASSIN 2
 
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  '1': ENTAILMENT
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  splits:
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  - name: train
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+ num_bytes: 863995
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  num_examples: 6500
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  - name: test
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+ num_bytes: 339266
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  num_examples: 2448
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  - name: validation
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+ num_bytes: 66824
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  num_examples: 500
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+ download_size: 566733
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+ dataset_size: 1270085
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: test
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+ path: data/test-*
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+ - split: validation
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+ path: data/validation-*
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  ---
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  # Dataset Card for ASSIN 2
data/test-00000-of-00001.parquet ADDED
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+ size 157085
data/train-00000-of-00001.parquet ADDED
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+ size 375594
data/validation-00000-of-00001.parquet ADDED
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+ size 34054
dataset_infos.json CHANGED
@@ -1 +1,65 @@
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- {"default": {"description": "\nThe ASSIN 2 corpus is composed of rather simple sentences. Following the procedures of SemEval 2014 Task 1.\nThe training and validation data are composed, respectively, of 6,500 and 500 sentence pairs in Brazilian Portuguese,\nannotated for entailment and semantic similarity. Semantic similarity values range from 1 to 5, and text entailment\nclasses are either entailment or none. The test data are composed of approximately 3,000 sentence pairs with the same\nannotation. All data were manually annotated.\n", "citation": "\n@inproceedings{real2020assin,\n title={The assin 2 shared task: a quick overview},\n author={Real, Livy and Fonseca, Erick and Oliveira, Hugo Goncalo},\n booktitle={International Conference on Computational Processing of the Portuguese Language},\n pages={406--412},\n year={2020},\n organization={Springer}\n}\n", "homepage": "https://sites.google.com/view/assin2", "license": "", "features": {"sentence_pair_id": {"dtype": "int64", "id": null, "_type": "Value"}, "premise": {"dtype": "string", "id": null, "_type": "Value"}, "hypothesis": {"dtype": "string", "id": null, "_type": "Value"}, "relatedness_score": {"dtype": "float32", "id": null, "_type": "Value"}, "entailment_judgment": {"num_classes": 2, "names": ["NONE", "ENTAILMENT"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "assin2", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 864816, "num_examples": 6500, "dataset_name": "assin2"}, "test": {"name": "test", "num_bytes": 339580, "num_examples": 2448, "dataset_name": "assin2"}, "validation": {"name": "validation", "num_bytes": 66895, "num_examples": 500, "dataset_name": "assin2"}}, "download_checksums": {"https://github.com/ruanchaves/assin/raw/master/sources/assin2-train-only.xml": {"num_bytes": 1505084, "checksum": "0909e113e30f53a64ee7ef28b3287e78790ca06e45011caf07d38777877e367f"}, "https://github.com/ruanchaves/assin/raw/master/sources/assin2-dev.xml": {"num_bytes": 115698, "checksum": "b6639e7fb562325fe847b249d96f14d7d4fab0d5fe5aa542c19089d0d0c9081c"}, "https://github.com/ruanchaves/assin/raw/master/sources/assin2-test.xml": {"num_bytes": 492864, "checksum": "246fbaa0a5f8120b00baee4c9d64bf6f0c6669fbdbcb9fab5563114699f3890c"}}, "download_size": 2113646, "post_processing_size": null, "dataset_size": 1271291, "size_in_bytes": 3384937}}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "default": {
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+ "description": "\nThe ASSIN 2 corpus is composed of rather simple sentences. Following the procedures of SemEval 2014 Task 1.\nThe training and validation data are composed, respectively, of 6,500 and 500 sentence pairs in Brazilian Portuguese,\nannotated for entailment and semantic similarity. Semantic similarity values range from 1 to 5, and text entailment\nclasses are either entailment or none. The test data are composed of approximately 3,000 sentence pairs with the same\nannotation. All data were manually annotated.\n",
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+ "citation": "\n@inproceedings{real2020assin,\n title={The assin 2 shared task: a quick overview},\n author={Real, Livy and Fonseca, Erick and Oliveira, Hugo Goncalo},\n booktitle={International Conference on Computational Processing of the Portuguese Language},\n pages={406--412},\n year={2020},\n organization={Springer}\n}\n",
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+ "homepage": "https://sites.google.com/view/assin2",
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+ "license": "",
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+ "NONE",
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+ "ENTAILMENT"
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+ "_type": "ClassLabel"
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+ }
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+ },
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+ "builder_name": "parquet",
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+ "dataset_name": "assin2",
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+ "num_bytes": 66824,
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+ "num_examples": 500,
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+ "dataset_name": null
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+ }
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+ },
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+ "download_size": 566733,
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+ "dataset_size": 1270085,
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+ "size_in_bytes": 1836818
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+ }
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+ }