Update to modern HuggingFace dataset card format

- Change from dataset_info to configs format in README template
- Use data_files with parquet paths instead of features schema
- Add uv index configuration to pyproject.toml for PyPI and TestPyPI
- Set en_ewt as default config
- Simplify README structure (removed redundant feature definitions)
- Add TODO note about helper functions post v2.0

This aligns with HuggingFace's current dataset card standards
and the new parquet-based distribution model.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

pyproject.toml

@@ -53,3 +53,13 @@ quote-style = "double"
 indent-style = "space"
 skip-magic-trailing-comma = false
 line-ending = "auto"
+
+[[tool.uv.index]]
+name = "PyPI"
+url = "https://pypi.org/simple/"
+default = true
+
+[[tool.uv.index]]
+name = "TestPyPI"
+url = "https://test.pypi.org/simple/"
+explicit = true

tools/templates/README.tmpl

@@ -46,74 +46,24 @@ tags:
 - dependency-parsing
 - part-of-speech-tagging
 
-dataset_info:
+configs:
 {%- for name,metadata in data.items()|sort(attribute='1.dirname') %}
 - config_name: {{ name }}
-  features:
-  - name: idx
-    dtype: string
-  - name: text
-    dtype: string
-  - name: tokens
-    sequence: string
-  - name: lemmas
-    sequence: string
-  - name: upos
-    sequence:
-      class_label:
-        names:
-          '0': NOUN
-          '1': PUNCT
-          '2': ADP
-          '3': NUM
-          '4': SYM
-          '5': SCONJ
-          '6': ADJ
-          '7': PART
-          '8': DET
-          '9': CCONJ
-          '10': PROPN
-          '11': PRON
-          '12': X
-          '13': _
-          '14': ADV
-          '15': INTJ
-          '16': VERB
-          '17': AUX
-  - name: xpos
-    sequence: string
-  - name: feats
-    sequence: string
-  - name: head
-    sequence: string
-  - name: deprel
-    sequence: string
-  - name: deps
-    sequence: string
-  - name: misc
-    sequence: string
-  splits:
+  data_files:
   {%- set ns = namespace(dataset_size=0) -%}
   {%- for fileset_split_name,fileset_split_data in metadata.splits.items() %}
-  - name: {{ fileset_split_name }}
-    num_bytes: {{ fileset_split_data.num_bytes }}{%- set ns.dataset_size = ns.dataset_size + fileset_split_data.num_bytes %}
-    num_examples: {{ fileset_split_data.num_sentences }}
+  - split: {{ fileset_split_name }}
+    path: parquet/{{ name }}/{{ fileset_split_name }}.parquet
   {%- endfor %}
-  dataset_size: {{ ns.dataset_size }}
-{%- endfor %}
-
-config_names:
-{%- for name,metadata in data.items()|sort(attribute='1.dirname') %}
-- {{ name }}
+  {%- if name == 'en_ewt' %}
+  default: true
+  {%- endif %}
 {%- endfor %}
 ---
 
-# Dataset Card for Universal Dependencies Treebank
-
-## What's New in v2.0
+## Dataset Card (v2.0) for Universal Dependencies Treebank
 
 **Version 2.0.0** introduces significant improvements and breaking changes:
-
 - **Parquet Format:** faster loading with HuggingFace datasets >=4.0.0
 - **MWT Support:** New `mwt` field provides structured multi-word token information
 - **Enhanced Security:** No more `trust_remote_code=True` required
@@ -201,6 +151,9 @@ print(f"Sentence ID: {sentence['sent_id']}")
 print(f"Text: {sentence['text']}")
 print(f"Tokens: {sentence['tokens']}")
 
+## TODO: Make helper functions available  
+## post v2.0 universal_dependencies.py is not part of the Dataset any longer!
+##
 # Parse optional fields using helper functions
 from universal_dependencies import parse_feats, parse_misc
 
@@ -270,15 +223,15 @@ print(dataset)
 # Output:
 # DatasetDict({
 #     train: Dataset({
-#         features: ['idx', 'text', 'tokens', 'lemmas', 'upos', 'xpos', 'feats', 'head', 'deprel', 'deps', 'misc', 'mwt'],
-#         num_rows: 12543
+#         features: ['sent_id', 'text', 'comments', 'tokens', 'lemmas', 'upos', 'xpos', 'feats', 'head', 'deprel', 'deps', 'misc', 'mwt', 'empty_nodes'],
+#         num_rows: 12544
 #     })
-#     validation: Dataset({
-#         features: ['idx', 'text', 'tokens', 'lemmas', 'upos', 'xpos', 'feats', 'head', 'deprel', 'deps', 'misc', 'mwt'],
+#     dev: Dataset({
+#         features: ['sent_id', 'text', 'comments', 'tokens', 'lemmas', 'upos', 'xpos', 'feats', 'head', 'deprel', 'deps', 'misc', 'mwt', 'empty_nodes'],
 #         num_rows: 2001
 #     })
 #     test: Dataset({
-#         features: ['idx', 'text', 'tokens', 'lemmas', 'upos', 'xpos', 'feats', 'head', 'deprel', 'deps', 'misc', 'mwt'],
+#         features: ['sent_id', 'text', 'comments', 'tokens', 'lemmas', 'upos', 'xpos', 'feats', 'head', 'deprel', 'deps', 'misc', 'mwt', 'empty_nodes'],
 #         num_rows: 2077
 #     })
 # })
@@ -288,7 +241,7 @@ print(dataset)
 
 Each example in the dataset contains the following fields:
 
-- **idx** (string): Sentence ID from the CoNLL-U file metadata
+- **sent_id** (string): Sentence ID from the CoNLL-U file metadata
 - **text** (string): Full sentence text (surface form)
 - **tokens** (list of strings): Syntactic word forms (MWT surface forms excluded)
 - **lemmas** (list of strings): Lemmas for each syntactic word
@@ -303,6 +256,8 @@ Each example in the dataset contains the following fields:
   - **id** (string): Token range (e.g., "1-2")
   - **form** (string): Surface form (e.g., "don't")
   - **misc** (string): MWT-specific metadata
+- **empty_nodes** (list of dicts): Empty Node Token information (NEW in v2.0)
+- **comments** (list of strings): All comments including duplicates, empty values, and original ordering (NEW in v2.0)
 
 **Example:**
 
@@ -314,18 +269,25 @@ print(dataset[0])
 
 # Output:
 {
-    'idx': 'weblog-blogspot.com_nominations_20041117172713_ENG_20041117_172713-0001',
-    'text': 'From the AP comes this story:',
-    'tokens': ['From', 'the', 'AP', 'comes', 'this', 'story', ':'],
-    'lemmas': ['from', 'the', 'AP', 'come', 'this', 'story', ':'],
-    'upos': ['ADP', 'DET', 'PROPN', 'VERB', 'DET', 'NOUN', 'PUNCT'],
-    'xpos': ['IN', 'DT', 'NNP', 'VBZ', 'DT', 'NN', ':'],
-    'feats': ['_', 'Definite=Def|PronType=Art', 'Number=Sing', 'Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin', 'Number=Sing|PronType=Dem', 'Number=Sing', '_'],
-    'head': ['4', '3', '4', '0', '6', '4', '4'],
-    'deprel': ['case', 'det', 'obl', 'root', 'det', 'nsubj', 'punct'],
-    'deps': ['_', '_', '_', '_', '_', '_', '_'],
-    'misc': ['_', '_', '_', '_', '_', '_', 'SpaceAfter=No'],
-    'mwt': []  # No MWTs in this sentence
+    'sent_id': 'weblog-juancole.com_juancole_20051126063000_ENG_20051126_063000-0001',
+    'text': 'Al-Zaman : American forces killed Shaikh Abdullah al-Ani, the preacher at the mosque in the town of Qaim, near the Syrian border.',
+    'comments': [
+        'newdoc id = weblog-juancole.com_juancole_20051126063000_ENG_20051126_063000',
+        '__SENT_ID__',
+        'newpar id = weblog-juancole.com_juancole_20051126063000_ENG_20051126_063000-p0001',
+        '__TEXT__'
+    ],
+    'tokens': ['Al', '-', 'Zaman', ':', 'American', 'forces', 'killed', 'Shaikh', 'Abdullah', 'al', '-', 'Ani', ',', 'the', 'preacher', 'at', 'the', 'mosque', 'in', 'the', 'town', 'of', 'Qaim', ',', 'near', 'the', 'Syrian', 'border', '.'],
+    'lemmas': ['Al', '-', 'Zaman', ':', 'American', 'force', 'kill', 'Shaikh', 'Abdullah', 'al', '-', 'Ani', ',', 'the', 'preacher', 'at', 'the', 'mosque', 'in', 'the', 'town', 'of', 'Qaim', ',', 'near', 'the', 'Syrian', 'border', '.'],
+    'upos': [10, 1, 10, 1, 6, 0, 16, 10, 10, 10, 1, 10, 1, 8, 0, 2, 8, 0, 2, 8, 0, 2, 10, 1, 2, 8, 6, 0, 1],
+    'xpos': ['NNP', 'HYPH', 'NNP', ':', 'JJ', 'NNS', 'VBD', 'NNP', 'NNP', 'NNP', 'HYPH', 'NNP', ',', 'DT', 'NN', 'IN', 'DT', 'NN', 'IN', 'DT', 'NN', 'IN', 'NNP', ',', 'IN', 'DT', 'JJ', 'NN', '.'],
+    'feats': ['Number=Sing', None, 'Number=Sing', None, 'Degree=Pos', 'Number=Plur', 'Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin', 'Number=Sing', 'Number=Sing', 'Number=Sing', None, 'Number=Sing', None, 'Definite=Def|PronType=Art', 'Number=Sing', None, 'Definite=Def|PronType=Art', 'Number=Sing', None, 'Definite=Def|PronType=Art', 'Number=Sing', None, 'Number=Sing', None, None, 'Definite=Def|PronType=Art', 'Degree=Pos', 'Number=Sing', None], 
+    'head': ['0', '3', '1', '7', '6', '7', '1', '7', '8', '8', '12', '8', '15', '15', '8', '18', '18', '15', '21', '21', '18', '23', '21', '28', '28', '28', '28', '21', '1'],
+    'deprel': ['root', 'punct', 'flat', 'punct', 'amod', 'nsubj', 'parataxis', 'obj', 'flat', 'flat', 'punct', 'flat', 'punct', 'det', 'appos', 'case', 'det', 'nmod', 'case', 'det', 'nmod', 'case', 'nmod', 'punct', 'case', 'det', 'amod', 'nmod', 'punct'], 
+    'deps': ['0:root', '3:punct', '1:flat', '7:punct', '6:amod', '7:nsubj', '1:parataxis', '7:obj', '8:flat', '8:flat', '12:punct', '8:flat', '15:punct', '15:det', '8:appos', '18:case', '18:det', '15:nmod:at', '21:case', '21:det', '18:nmod:in', '23:case', '21:nmod:of', '28:punct', '28:case', '28:det', '28:amod', '21:nmod:near', '1:punct'], 
+    'misc': ['SpaceAfter=No', 'SpaceAfter=No', None, None, None, None, None, None, None, 'SpaceAfter=No', 'SpaceAfter=No', 'SpaceAfter=No', None, None, None, None, None, None, None, None, None, None, 'SpaceAfter=No', None, None, None, None, 'SpaceAfter=No', None], 
+    'mwt': [],
+    'empty_nodes': []
 }
 ```
 
@@ -338,13 +300,25 @@ example = [ex for ex in dataset if ex['mwt']][0]
 print(example['mwt'])
 
 # Output:
-[{'id': '2-3', 'form': 'des', 'misc': ''}]
-# This means tokens[1:3] = ['de', 'les'] are combined as MWT surface form "des"
+[{'id': '8-9', 'form': 'des', 'feats': None, 'misc': None}]
+# This means example['tokens'][7:9] = ['de', 'les'] are combined as MWT surface form "des"
 ```
 
 ### Data Splits
 
-[More Information Needed]
+The file `metadata.json` stores additional information about the data, for example, available splits:
+
+```python
+from huggingface_hub import hf_hub_download
+import json
+
+md = hf_hub_download(repo_id="commul/universal_dependencies", filename="metadata.json", repo_type="dataset")
+
+with open(md, "r", encoding="utf-8") as f:
+    metadata = json.load(f)
+
+[metadata[key]['splits'].keys() for key in metadata]
+```
 
 ## Dataset Creation