Convert dataset to Parquet

Convert dataset to Parquet.

This dataset uses `tasks`, which are deprecated and will raise an error after the next release of `datasets`. See: https://github.com/huggingface/datasets/pull/6999

README.md

@@ -5,8 +5,6 @@ language_creators:
 - crowdsourced
 language:
 - fr
-language_bcp47:
-- fr-FR
 license:
 - mit
 multilinguality:
@@ -20,9 +18,11 @@ task_categories:
 task_ids:
 - extractive-qa
 - open-domain-qa
-paperswithcode_id: null
 pretty_name: Piaf
+language_bcp47:
+- fr-FR
 dataset_info:
+  config_name: plain_text
   features:
   - name: id
     dtype: string
@@ -38,13 +38,18 @@ dataset_info:
       dtype: string
     - name: answer_start
       dtype: int32
-  config_name: plain_text
   splits:
   - name: train
-    num_bytes: 3332905
+    num_bytes: 3332877
     num_examples: 3835
-  download_size: 1370384
-  dataset_size: 3332905
+  download_size: 650352
+  dataset_size: 3332877
+configs:
+- config_name: plain_text
+  data_files:
+  - split: train
+    path: plain_text/train-*
+  default: true
 ---
 
 # Dataset Card for Piaf

dataset_infos.json

@@ -1 +1,65 @@
-{"plain_text": {"description": "Piaf is a reading comprehension dataset. This version, published in February 2020, contains 3835 questions on French Wikipedia.\n", "citation": "@InProceedings{keraron-EtAl:2020:LREC,\n  author    = {Keraron, Rachel  and  Lancrenon, Guillaume  and  Bras, Mathilde  and  Allary, Fr\u00e9d\u00e9ric  and  Moyse, Gilles  and  Scialom, Thomas  and  Soriano-Morales, Edmundo-Pavel  and  Staiano, Jacopo},\n  title     = {Project PIAF: Building a Native French Question-Answering Dataset},\n  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},\n  month          = {May},\n  year           = {2020},\n  address        = {Marseille, France},\n  publisher      = {European Language Resources Association},\n  pages     = {5483--5492},\n  abstract  = {Motivated by the lack of data for non-English languages, in particular for the evaluation of downstream tasks such as Question Answering, we present a participatory effort to collect a native French Question Answering Dataset. Furthermore, we describe and publicly release the annotation tool developed for our collection effort, along with the data obtained and preliminary baselines.},\n  url       = {https://www.aclweb.org/anthology/2020.lrec-1.673}\n}\n", "homepage": "https://piaf.etalab.studio", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "context": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answers": {"feature": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "answer_start": {"dtype": "int32", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "question-answering-extractive", "question_column": "question", "context_column": "context", "answers_column": "answers"}], "builder_name": "piaf", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3332905, "num_examples": 3835, "dataset_name": "piaf"}}, "download_checksums": {"https://github.com/etalab-ia/piaf-code/raw/master/piaf-v1.0.json": {"num_bytes": 1370384, "checksum": "008229ccefa0195d7e809d777d33149cab03433059c9477bdbadb4838a277cd2"}}, "download_size": 1370384, "post_processing_size": null, "dataset_size": 3332905, "size_in_bytes": 4703289}}
+{
+    "plain_text": {
+        "description": "Piaf is a reading comprehension dataset. This version, published in February 2020, contains 3835 questions on French Wikipedia.\n",
+        "citation": "@InProceedings{keraron-EtAl:2020:LREC,\n  author    = {Keraron, Rachel  and  Lancrenon, Guillaume  and  Bras, Mathilde  and  Allary, Fr\u00e9d\u00e9ric  and  Moyse, Gilles  and  Scialom, Thomas  and  Soriano-Morales, Edmundo-Pavel  and  Staiano, Jacopo},\n  title     = {Project PIAF: Building a Native French Question-Answering Dataset},\n  booktitle      = {Proceedings of The 12th Language Resources and Evaluation Conference},\n  month          = {May},\n  year           = {2020},\n  address        = {Marseille, France},\n  publisher      = {European Language Resources Association},\n  pages     = {5483--5492},\n  abstract  = {Motivated by the lack of data for non-English languages, in particular for the evaluation of downstream tasks such as Question Answering, we present a participatory effort to collect a native French Question Answering Dataset. Furthermore, we describe and publicly release the annotation tool developed for our collection effort, along with the data obtained and preliminary baselines.},\n  url       = {https://www.aclweb.org/anthology/2020.lrec-1.673}\n}\n",
+        "homepage": "https://piaf.etalab.studio",
+        "license": "",
+        "features": {
+            "id": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "title": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "context": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "question": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "answers": {
+                "feature": {
+                    "text": {
+                        "dtype": "string",
+                        "_type": "Value"
+                    },
+                    "answer_start": {
+                        "dtype": "int32",
+                        "_type": "Value"
+                    }
+                },
+                "_type": "Sequence"
+            }
+        },
+        "task_templates": [
+            {
+                "task": "question-answering-extractive"
+            }
+        ],
+        "builder_name": "piaf",
+        "dataset_name": "piaf",
+        "config_name": "plain_text",
+        "version": {
+            "version_str": "1.0.0",
+            "description": "",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 3332877,
+                "num_examples": 3835,
+                "dataset_name": null
+            }
+        },
+        "download_size": 650352,
+        "dataset_size": 3332877,
+        "size_in_bytes": 3983229
+    }
+}

plain_text/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:868b00642fd947182dd406becee1f7981c4ab69c2dc78ee5f0e6e7a42d98ebad
+size 650352