Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+languages:
+- ase
+- en
+licenses:
+- mit
+multilinguality:
+- translation
+size_categories:
+- n<1K
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- machine-translation
+---
+
+# Dataset Card for NCSLGR
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+
+## Dataset Description
+
+- **Homepage:** https://www.bu.edu/asllrp/ncslgr.html
+- **Repository:**
+- **Paper:** 
+- **Leaderboard:**
+- **Point of Contact:** 
+
+### Dataset Summary
+
+A small corpus of American Sign Language (ASL) video data from native signers, annotated with non-manual features.
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+- American Sign Language
+- English
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+- eaf: path to an ELAN annotation file
+- videos: sequence of strings to video paths
+- sentences: sequence of parallel sentences 
+    - gloss: American Sign Language gloss annotations
+    - text: English text
+
+### Data Splits
+
+None
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+```bibtex
+@misc{dataset:databases2007volumes,
+    title={Volumes 2--7},
+    author={Databases, NCSLGR},
+    year={2007},
+    publisher={American Sign Language Linguistic Research Project (Distributed on CD-ROM~…}
+}
+```

dataset_infos.json

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+{
+  "entire_dataset": {
+    "description": "\nA small corpus of American Sign Language (ASL) video data from native signers, annotated with non-manual features.\n",
+    "citation": "@misc{dataset:databases2007volumes,\n    title={Volumes 2--7},\n    author={Databases, NCSLGR},\n    year={2007},\n    publisher={American Sign Language Linguistic Research Project (Distributed on CD-ROM~\u2026}\n}\n",
+    "homepage": "https://www.bu.edu/asllrp/ncslgr.html",
+    "license": "",
+    "features": {
+      "eaf": {
+        "dtype": "string",
+        "id": null,
+        "_type": "Value"
+      },
+      "sentences": {
+        "feature": {
+          "gloss": {
+            "dtype": "string",
+            "id": null,
+            "_type": "Value"
+          },
+          "text": {
+            "dtype": "string",
+            "id": null,
+            "_type": "Value"
+          }
+        },
+        "length": -1,
+        "id": null,
+        "_type": "Sequence"
+      },
+      "videos": {
+        "feature": {
+          "dtype": "string",
+          "id": null,
+          "_type": "Value"
+        },
+        "length": -1,
+        "id": null,
+        "_type": "Sequence"
+      }
+    },
+    "post_processed": null,
+    "supervised_keys": null,
+    "builder_name": "ncslgr",
+    "config_name": "entire_dataset",
+    "version": {
+      "version_str": "0.7.0",
+      "description": null,
+      "major": 0,
+      "minor": 7,
+      "patch": 0
+    },
+    "splits": {
+      "train": {
+        "name": "train",
+        "num_bytes": 783504,
+        "num_examples": 870,
+        "dataset_name": "ncslgr"
+      }
+    },
+    "download_checksums": {
+      "http://asl.cs.depaul.edu/corpus/elanBUcorpus.zip": {
+        "num_bytes": 5335358,
+        "checksum": "7e2a49cfec0d2d39a933df1c20e1f1f79f30bca70974b1f65ef05a0df99f2949"
+      },
+      "http://asl.cs.depaul.edu/corpus/video.zip": {
+        "num_bytes": 4108493785,
+        "checksum": "9a71da5ef7a978b42be236794af43a4ba6f5f8119ce28cdf9d9746d9e4481a15"
+      }
+    },
+    "download_size": 4113829143,
+    "post_processing_size": null,
+    "dataset_size": 783504,
+    "size_in_bytes": 4114612647
+  },
+  "annotations": {
+    "description": "\nA small corpus of American Sign Language (ASL) video data from native signers, annotated with non-manual features.\n",
+    "citation": "@misc{dataset:databases2007volumes,\n    title={Volumes 2--7},\n    author={Databases, NCSLGR},\n    year={2007},\n    publisher={American Sign Language Linguistic Research Project (Distributed on CD-ROM~\u2026}\n}\n",
+    "homepage": "https://www.bu.edu/asllrp/ncslgr.html",
+    "license": "",
+    "features": {
+      "eaf": {
+        "dtype": "string",
+        "id": null,
+        "_type": "Value"
+      },
+      "sentences": {
+        "feature": {
+          "gloss": {
+            "dtype": "string",
+            "id": null,
+            "_type": "Value"
+          },
+          "text": {
+            "dtype": "string",
+            "id": null,
+            "_type": "Value"
+          }
+        },
+        "length": -1,
+        "id": null,
+        "_type": "Sequence"
+      },
+      "videos": {
+        "feature": {
+          "dtype": "string",
+          "id": null,
+          "_type": "Value"
+        },
+        "length": -1,
+        "id": null,
+        "_type": "Sequence"
+      }
+    },
+    "post_processed": null,
+    "supervised_keys": null,
+    "builder_name": "ncslgr",
+    "config_name": "annotations",
+    "version": {
+      "version_str": "0.7.0",
+      "description": null,
+      "major": 0,
+      "minor": 7,
+      "patch": 0
+    },
+    "splits": {
+      "train": {
+        "name": "train",
+        "num_bytes": 371725,
+        "num_examples": 870,
+        "dataset_name": "ncslgr"
+      }
+    },
+    "download_checksums": {
+      "http://asl.cs.depaul.edu/corpus/elanBUcorpus.zip": {
+        "num_bytes": 5335358,
+        "checksum": "7e2a49cfec0d2d39a933df1c20e1f1f79f30bca70974b1f65ef05a0df99f2949"
+      }
+    },
+    "download_size": 5335358,
+    "post_processing_size": null,
+    "dataset_size": 371725,
+    "size_in_bytes": 5707083
+  }
+}

dummy/annotations/0.7.0/dummy_data.zip

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+size 29039

dummy/entire_dataset/0.7.0/dummy_data.zip

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+size 29039

ncslgr.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""NCSLGR: a small American Sign Language corpus annotated with non-manual features"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+import re
+from dataclasses import dataclass
+
+from tqdm import tqdm
+
+import datasets
+
+
+_DESCRIPTION = """
+A small corpus of American Sign Language (ASL) video data from native signers, annotated with non-manual features.
+"""
+
+_CITATION = """\
+@misc{dataset:databases2007volumes,
+    title={Volumes 2--7},
+    author={Databases, NCSLGR},
+    year={2007},
+    publisher={American Sign Language Linguistic Research Project (Distributed on CD-ROM~…}
+}
+"""
+
+_URL_ANNOTATIONS = "http://asl.cs.depaul.edu/corpus/elanBUcorpus.zip"
+_URL_VIDEOS = "http://asl.cs.depaul.edu/corpus/video.zip"
+
+_HOMEPAGE = "https://www.bu.edu/asllrp/ncslgr.html"
+
+
+@dataclass
+class NCSLGRConfig(datasets.BuilderConfig):
+    """BuilderConfig for NCSLGR."""
+
+    videos: bool = True
+
+
+class NCSLGR(datasets.GeneratorBasedBuilder):
+    """NCSLGR: a small American Sign Language corpus annotated with non-manual features"""
+
+    VERSION = datasets.Version("0.7.0")
+
+    BUILDER_CONFIG_CLASS = NCSLGRConfig
+
+    BUILDER_CONFIGS = [
+        NCSLGRConfig(
+            name="entire_dataset",
+            version=datasets.Version("0.7.0"),
+            description="Entire dataset containing both videos and annotations.",
+            videos=True,
+        ),
+        NCSLGRConfig(
+            name="annotations",
+            version=datasets.Version("0.7.0"),
+            description="Dataset including only annotations, without videos",
+            videos=False,
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            # This defines the different columns of the dataset and their types
+            features=datasets.Features(
+                {
+                    "eaf": datasets.Value("string"),  # EAF path
+                    "sentences": datasets.features.Sequence(
+                        {
+                            "gloss": datasets.Value("string"),  # ASL Gloss
+                            "text": datasets.Value("string"),  # English Text
+                        }
+                    ),
+                    "videos": datasets.features.Sequence(datasets.Value("string")),  # Videos paths
+                }
+            ),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+
+        eaf_path = os.path.join(dl_manager.download_and_extract(_URL_ANNOTATIONS), "elanBUcorpus")
+        videos_path = dl_manager.download_and_extract(_URL_VIDEOS) if self.config.videos else None
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"eaf_path": eaf_path, "videos_path": videos_path},
+            )
+        ]
+
+    def _extract_sentences(self, elan_xml: str):
+        def get_tier_values(name: str):
+            tiers = re.findall('TIER_ID="' + name + '">([\\s\\S]*?)</TIER>', elan_xml)
+            if len(tiers) == 0:
+                return []
+            tier = tiers[0]
+            return [
+                (int(s[2:]), int(e[2:]), t)
+                for s, e, t in re.findall(
+                    'TIME_SLOT_REF1="(.*)" TIME_SLOT_REF2="(.*)">\n.*<ANNOTATION_VALUE>(.*?)</ANNOTATION_VALUE>', tier
+                )
+            ]
+
+        gloss = get_tier_values("main gloss")
+        texts = get_tier_values("English translation")
+
+        for s, e, text in texts:
+            relevant_gloss = [t for (s2, e2, t) in gloss if s2 >= s and e2 <= e]
+            yield {"gloss": " ".join(relevant_gloss), "text": text}
+
+    def _generate_examples(self, eaf_path: str, videos_path: str):
+        """ Yields examples. """
+
+        for i, eaf_file in enumerate(tqdm(os.listdir(eaf_path))):
+            eaf_file_path = os.path.join(eaf_path, eaf_file)
+            videos = []
+            with open(eaf_file_path, "r", encoding="utf-8") as f:
+                content = f.read()
+
+            if self.config.videos:
+                videos_relative = re.findall('RELATIVE_MEDIA_URL="(.*)"', content)
+                videos = [os.path.join(videos_path, v[3:]) for v in videos_relative]
+
+            sentences = list(self._extract_sentences(content))
+
+            yield i, {"eaf": eaf_file_path, "videos": videos, "sentences": sentences}