Convert dataset to Parquet

.gitignore

@@ -1 +0,0 @@
-metric_files

README.md

@@ -12,6 +12,96 @@ task_categories:
 task_ids:
 - named-entity-recognition
 pretty_name: TweetNER7
+dataset_info:
+  config_name: tweetner7
+  features:
+  - name: tokens
+    sequence: string
+  - name: tags
+    sequence:
+      class_label:
+        names:
+          '0': B-corporation
+          '1': B-creative_work
+          '2': B-event
+          '3': B-group
+          '4': B-location
+          '5': B-person
+          '6': B-product
+          '7': I-corporation
+          '8': I-creative_work
+          '9': I-event
+          '10': I-group
+          '11': I-location
+          '12': I-person
+          '13': I-product
+          '14': O
+  - name: id
+    dtype: string
+  - name: date
+    dtype: string
+  splits:
+  - name: test_2020
+    num_bytes: 321795
+    num_examples: 576
+  - name: test_2021
+    num_bytes: 1623780
+    num_examples: 2807
+  - name: validation_2020
+    num_bytes: 326081
+    num_examples: 576
+  - name: validation_2021
+    num_bytes: 178182
+    num_examples: 310
+  - name: train_2020
+    num_bytes: 2626368
+    num_examples: 4616
+  - name: train_2021
+    num_bytes: 1435751
+    num_examples: 2495
+  - name: train_all
+    num_bytes: 4062119
+    num_examples: 7111
+  - name: validation_random
+    num_bytes: 331436
+    num_examples: 576
+  - name: train_random
+    num_bytes: 2662006
+    num_examples: 4616
+  - name: extra_2020
+    num_bytes: 47946026
+    num_examples: 87880
+  - name: extra_2021
+    num_bytes: 52161850
+    num_examples: 93594
+  download_size: 26085172
+  dataset_size: 113675394
+configs:
+- config_name: tweetner7
+  data_files:
+  - split: test_2020
+    path: tweetner7/test_2020-*
+  - split: test_2021
+    path: tweetner7/test_2021-*
+  - split: validation_2020
+    path: tweetner7/validation_2020-*
+  - split: validation_2021
+    path: tweetner7/validation_2021-*
+  - split: train_2020
+    path: tweetner7/train_2020-*
+  - split: train_2021
+    path: tweetner7/train_2021-*
+  - split: train_all
+    path: tweetner7/train_all-*
+  - split: validation_random
+    path: tweetner7/validation_random-*
+  - split: train_random
+    path: tweetner7/train_random-*
+  - split: extra_2020
+    path: tweetner7/extra_2020-*
+  - split: extra_2021
+    path: tweetner7/extra_2021-*
+  default: true
 ---
 
 # Dataset Card for "tner/tweetner7"

dataset/label.json

@@ -1 +0,0 @@
-{"B-corporation": 0, "B-creative_work": 1, "B-event": 2, "B-group": 3, "B-location": 4, "B-person": 5, "B-product": 6, "I-corporation": 7, "I-creative_work": 8, "I-event": 9, "I-group": 10, "I-location": 11, "I-person": 12, "I-product": 13, "O": 14}

get_model_list.py

@@ -1,89 +0,0 @@
-import json
-import os
-import requests
-
-import pandas as pd
-
-dataset_link = "[`tweetner7`](https://huggingface.co/datasets/tner/tweetner7)"
-metric_dir = 'metric_files'
-os.makedirs(metric_dir, exist_ok=True)
-
-
-def lm_link(_model): return f"[`{_model}`](https://huggingface.co/{_model})"
-
-
-def model_link(_model, _type): return f"[`tner/{_model}-tweetner7-{_type}`](https://huggingface.co/tner/{_model}-tweetner7-{_type})"
-
-
-def download(_model, _type):
-    url = f"https://huggingface.co/tner/{_model}-tweetner7-{_type}/raw/main/eval"
-    filename = f"{metric_dir}/{_model}-{_type}.json"
-    print(url, filename)
-    try:
-        with open(filename) as f:
-            return json.load(f)
-    except Exception:
-        tmp = {}
-    for metric in ["metric.test_2021", "metric.test_2020", "metric_span.test_2021", "metric_span.test_2020"]:
-        year = metric[-4:]
-        if metric not in tmp:
-            _metric = json.loads(requests.get(f"{url}/{metric}.json").content)
-            if '_span' in metric:
-                tmp[f"Entity-Span F1 ({year})"] = round(100 * _metric["micro/f1"], 2)
-            else:
-                tmp[f"Micro F1 ({year})"] = round(100 * _metric["micro/f1"], 2)
-                tmp[f"Macro F1 ({year})"] = round(100 * _metric["macro/f1"], 2)
-                tmp.update({f"F1 ({year})/{k}": round(100 * v['f1'], 2) for k, v in _metric["per_entity_metric"].items()})
-    with open(filename, "w") as f:
-        json.dump(tmp, f)
-    return tmp
-
-
-lms = [
-    "roberta-large",
-    "roberta-base",
-    "cardiffnlp/twitter-roberta-base-2019-90m",
-    "cardiffnlp/twitter-roberta-base-dec2020",
-    "cardiffnlp/twitter-roberta-base-dec2021"
-    "vinai/bertweet-large",
-    "vinai/bertweet-base",
-    "bert-large",
-    "bert-base"
-]
-
-types = [
-    ["all", "continuous", "2021", "2020"],
-    ["random"],
-    [
-        "selflabel2020",
-        "selflabel2021",
-        "2020-selflabel2020-all",
-        "2020-selflabel2021-all",
-        "selflabel2020-continuous",
-        "selflabel2021-continuous"
-    ]
-]
-
-
-for tt in types:
-    metrics = []
-    for t in tt:
-        for lm in lms:
-
-            if 'selflabel' in t and lm != "roberta-large":
-                continue
-            _lm_link = lm_link(lm)
-            lm = os.path.basename(lm)
-            _model_link = model_link(lm, t)
-            __metric = {
-                "Model (link)": model_link(lm, t),
-                "Data": dataset_link,
-                "Language Model": _lm_link
-            }
-            __metric.update(download(lm, t))
-            metrics.append(__metric)
-
-    df = pd.DataFrame(metrics)
-    print(tt)
-    print(df.to_markdown(index=False))
-    print()

tweetner7.py

@@ -1,85 +0,0 @@
-""" NER dataset compiled by T-NER library https://github.com/asahi417/tner/tree/master/tner """
-import json
-from itertools import chain
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-_DESCRIPTION = """[TweetNER7](TBA)"""
-_NAME = "tweetner7"
-_VERSION = "1.0.4"
-_CITATION = """
-TBA
-"""
-
-_HOME_PAGE = "https://github.com/asahi417/tner"
-_URL = f'https://huggingface.co/datasets/tner/{_NAME}/raw/main/dataset'
-_URLS = {
-#    str(datasets.Split.TEST): [f'{_URL}/2021.test.json'],
-#    str(datasets.Split.VALIDATION): [f'{_URL}/2020.dev.json'],
-#    str(datasets.Split.TRAIN): [f'{_URL}/2020.train.json'],
-    f'{str(datasets.Split.TEST)}_2020': [f'{_URL}/2020.test.json'],
-    f'{str(datasets.Split.TEST)}_2021': [f'{_URL}/2021.test.json'],
-#    f'{str(datasets.Split.TEST)}_all': [f'{_URL}/2020.test.json', f'{_URL}/2021.test.json'],
-    f'{str(datasets.Split.VALIDATION)}_2020': [f'{_URL}/2020.dev.json'],
-    f'{str(datasets.Split.VALIDATION)}_2021': [f'{_URL}/2021.dev.json'],
-#    f'{str(datasets.Split.VALIDATION)}_all': [f'{_URL}/2020.dev.json', f'{_URL}/2021.dev.json'],
-    f'{str(datasets.Split.TRAIN)}_2020': [f'{_URL}/2020.train.json'],
-    f'{str(datasets.Split.TRAIN)}_2021': [f'{_URL}/2021.train.json'],
-    f'{str(datasets.Split.TRAIN)}_all': [f'{_URL}/2020.train.json', f'{_URL}/2021.train.json'],
-    f'{str(datasets.Split.VALIDATION)}_random': [f'{_URL}/random.dev.json'],
-    f'{str(datasets.Split.TRAIN)}_random': [f'{_URL}/random.train.json'],
-    f'extra_2020': [f'{_URL}/extra/2020.extra{i:02d}.json' for i in range(9)],
-    f'extra_2021': [f'{_URL}/extra/2021.extra{i:02d}.json' for i in range(10)]
-}
-
-
-class TweetNER7Config(datasets.BuilderConfig):
-    """BuilderConfig"""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(TweetNER7Config, self).__init__(**kwargs)
-
-
-class TweetNER7(datasets.GeneratorBasedBuilder):
-    """Dataset."""
-
-    BUILDER_CONFIGS = [
-        TweetNER7Config(name=_NAME, version=datasets.Version(_VERSION), description=_DESCRIPTION),
-    ]
-
-    def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract(_URLS)
-        return [datasets.SplitGenerator(name=i, gen_kwargs={"filepaths": downloaded_file[i]}) for i in _URLS.keys()]
-
-    def _generate_examples(self, filepaths):
-        _key = 0
-        for filepath in filepaths:
-            logger.info(f"generating examples from = {filepath}")
-            with open(filepath, encoding="utf-8") as f:
-                _list = [i for i in f.read().split('\n') if len(i) > 0]
-                for i in _list:
-                    data = json.loads(i)
-                    yield _key, data
-                    _key += 1
-
-    def _info(self):
-        names = ['B-corporation', 'B-creative_work', 'B-event', 'B-group', 'B-location', 'B-person', 'B-product', 'I-corporation', 'I-creative_work', 'I-event', 'I-group', 'I-location', 'I-person', 'I-product', 'O']
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "tokens": datasets.Sequence(datasets.Value("string")),
-                    "tags": datasets.Sequence(datasets.features.ClassLabel(names=names)),
-                    "id": datasets.Value("string"),
-                    "date": datasets.Value("string")
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOME_PAGE,
-            citation=_CITATION,
-        )

tweetner7/extra_2020-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:74b896201ddadefc288235999ab698b4c4843b6c33a7cecc8db815319a5ae5ba
+size 10586484

tweetner7/extra_2021-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36c58058654dc011ef9ecefb38eeb1b8ce8778b7fd592ad9ebfc65da6c4c1c2a
+size 11715210

tweetner7/test_2020-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e82137f2f7cb7bd865acc45ca3b6252632ce96cae639c0556b58004b8394f6b
+size 94531

tweetner7/test_2021-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:52a294ff9c254154593d6d87d92dfbdec7a43749a9308e1beb84a086b1dd9f3a
+size 446138

tweetner7/train_2020-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3444a6df0c71de488c5d587a79bc37440af7229874627962fcb8569c6541d257
+size 720978

tweetner7/train_2021-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14354a7ee09e1bc9b8d12b45e3560782a1aa99e5d2843f2a9ede3c109c45fd97
+size 398654

tweetner7/train_all-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9442204d03379afe3d687e825fce65dcedbf72d3bbfaf0249c3d20a5d47ffa14
+size 1119928

tweetner7/train_random-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c93aa44a52b959d10903bfe8652cfd28c79505022c913b1d622fafb8ab94c48
+size 751018

tweetner7/validation_2020-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e0ae0978dc167e81e15e29996cb451687bce19fe979c96e7bcb7107dac3b47e6
+size 96596

tweetner7/validation_2021-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0eb1f48078faa07cc6a78772d07b83cea03464c82381d23016a798bf74d0aa84
+size 56363

tweetner7/validation_random-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e07d8ce2cb62e5705aeebd4586efa8537f6152c50aa94decaac79e2ab0b68d0
+size 99272