| --- |
| dataset_info: |
| features: |
| - name: sent_id |
| dtype: string |
| - name: tokens |
| list: string |
| - name: head |
| list: string |
| - name: deprel |
| list: |
| class_label: |
| names: |
| '0': acl |
| '1': acl:relcl |
| '2': advcl |
| '3': advcl:cleft |
| '4': advmod |
| '5': amod |
| '6': appos |
| '7': aux |
| '8': aux:caus |
| '9': aux:pass |
| '10': aux:tense |
| '11': case |
| '12': cc |
| '13': ccomp |
| '14': compound |
| '15': conj |
| '16': cop |
| '17': csubj |
| '18': csubj:pass |
| '19': dep |
| '20': dep:comp |
| '21': det |
| '22': discourse |
| '23': dislocated |
| '24': expl:comp |
| '25': expl:pass |
| '26': expl:subj |
| '27': fixed |
| '28': flat:foreign |
| '29': flat:name |
| '30': iobj |
| '31': mark |
| '32': nmod |
| '33': nsubj |
| '34': nsubj:caus |
| '35': nsubj:outer |
| '36': nsubj:pass |
| '37': nummod |
| '38': obj |
| '39': obj:lvc |
| '40': obl |
| '41': obl:agent |
| '42': obl:arg |
| '43': obl:mod |
| '44': orphan |
| '45': parataxis |
| '46': parataxis:insert |
| '47': punct |
| '48': reparandum |
| '49': root |
| '50': vocative |
| '51': xcomp |
| splits: |
| - name: train |
| num_bytes: 9916993 |
| num_examples: 17925 |
| - name: dev |
| num_bytes: 1361562 |
| num_examples: 2950 |
| - name: test_fr_gsd |
| num_bytes: 231864 |
| num_examples: 415 |
| - name: test_fr_rhapsodie |
| num_bytes: 261360 |
| num_examples: 812 |
| - name: test_fr_sequoia |
| num_bytes: 239070 |
| num_examples: 456 |
| download_size: 2551975 |
| dataset_size: 12010849 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: dev |
| path: data/dev-* |
| - split: test_fr_gsd |
| path: data/test_fr_gsd-* |
| - split: test_fr_rhapsodie |
| path: data/test_fr_rhapsodie-* |
| - split: test_fr_sequoia |
| path: data/test_fr_sequoia-* |
| --- |
| |
| # Dataset Information |
|
|
| This dataset is designed for the **Dependency parsing task** and is used to train the Airudit multitask model. |
|
|
| ## Dataset Description |
|
|
| The dataset combines **Universal Dependencies v2.17** French corpora available at |
| [commul/universal_dependencies](https://huggingface.co/datasets/commul/universal_dependencies). |
|
|
| Included corpora: |
|
|
| - commul/universal_dependencies/fr_gsd |
| - commul/universal_dependencies/fr_sequoia |
| - commul/universal_dependencies/fr_rhapsodie |
|
|
| Nb. Other corpora, as 'fr_parisstories', 'fr_partut', 'fr_poitevindivital', 'fr_pud' are excluded because of too large difference in labels sets. |
|
|
| ## Dataset Structure |
|
|
| The dataset contains the following splits: |
|
|
| ``` |
| DatasetDict({ |
| train: Dataset({ |
| features: ['sent_id', 'tokens', 'head', 'deprel'], |
| num_rows: 17925 |
| }) |
| dev: Dataset({ |
| features: ['sent_id', 'tokens', 'head', 'deprel'], |
| num_rows: 2950 |
| }) |
| test_fr_gsd: Dataset({ |
| features: ['sent_id', 'tokens', 'head', 'deprel'], |
| num_rows: 415 |
| }) |
| test_fr_rhapsodie: Dataset({ |
| features: ['sent_id', 'tokens', 'head', 'deprel'], |
| num_rows: 812 |
| }) |
| test_fr_sequoia: Dataset({ |
| features: ['sent_id', 'tokens', 'head', 'deprel'], |
| num_rows: 456 |
| }) |
| }) |
| ``` |
|
|
| ## Labels |
| Labels are encoded in the dataset and can be retrieved as following : |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset('airudit/UD_v2_17_DEP') |
| ds["train"].features["deprel"].feature.names |
| # ['acl', 'acl:relcl', 'advcl', 'advcl:cleft', 'advmod', 'amod', 'appos', 'aux', 'aux:caus', 'aux:pass', 'aux:tense', 'case', 'cc', 'ccomp', 'compound', 'conj', 'cop', 'csubj', 'csubj:pass', 'dep', 'dep:comp', 'det', 'discourse', 'dislocated', 'expl:comp', 'expl:pass', 'expl:subj', 'fixed', 'flat:foreign', 'flat:name', 'iobj', 'mark', 'nmod', 'nsubj', 'nsubj:caus', 'nsubj:outer', 'nsubj:pass', 'nummod', 'obj', 'obj:lvc', 'obl', 'obl:agent', 'obl:arg', 'obl:mod', 'orphan', 'parataxis', 'parataxis:insert', 'punct', 'reparandum', 'root', 'vocative', 'xcomp'] |
| ``` |
|
|
| ## 🔍 Quick usage example: |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset('airudit/UD_v2_17_DEP') |
| ds["train"][0] |
| # {'sent_id': [...], 'tokens': [...], 'head': [...], 'deprel': [...]} |
| ``` |
|
|
| ## 📦 Dataset Pre-Processing : |
|
|
| ### Dependency Relation Filtering : |
| Sentences containing the following dependency relations are removed: |
| - [flat](https://universaldependencies.org/treebanks/fr_gsd/fr_gsd-dep-flat.html) This relation does not appear in **Sequoia** treebank beacause the annotation always uses a subtype (e.g. `flat:name`). |
| When `flat` is not subtyped it is difficult to automatically map it to a consistent subype. |
| - [parataxis:parenth](https://universaldependencies.org/fr/dep/parataxis-parenth.html) is used to annotate parenthetical clauses. |
| Only present in **Rhapsodie** treebank. |
| The number of occurrences is small (39 occ), and parentical are currently not cosidered essential for target multitask model. |
|
|
| In total, removed **14** sentences for **GSD** treebank and **78** sentences for **Rhapsodie** treebank. |
|
|
| ### Dependency Relation Normalization : |
|
|
| To harmonize the annotation schemes across treebanks, the following mapping is applied: |
| ``` |
| { |
| "goeswith": "compound", |
| "expl:pv": "expl:pass", |
| "obj:agent": "obj", |
| "iobj:agent": "iobj", |
| "nmod:appos": "nmod" |
| } |
| ``` |
|
|
| Occurrences affected by this normalization: |
| ``` |
| fr_gsd |
| {'expl:pv': 1016, 'obj:agent': 111, 'goeswith': 38, 'iobj:agent': 24} |
| fr_rhapsodie |
| {'nmod:appos': 115} |
| fr_sequoia |
| {'expl:pv': 242, 'obj:agent': 12, 'goeswith': 2, 'iobj:agent': 1} |
| ``` |
|
|
| ### Additional Label |
|
|
| The relation [reparandum](https://universaldependencies.org/treebanks/fr_rhapsodie/fr_rhapsodie-dep-reparandum.html) is added to the final vocabulary. |
| - The label appears only in **Rhapsodie** treebank (1205 occ). |
| - It is used to annotate speech disfluencies and self-corrections. |
| - This information can be useful for ASR post-processing tasks. |
|
|
| ### Structure |
| - Train and dev splits from all corpora are merged into unified train and dev splits. |
| - Test splits are preserved and renamed according to their source corpus. |
| - Only the relevant columns are kept: ["sent_id", "tokens", "head", "deprel"]. |
| - The dataset was generated using the following script: multitask-nlp/src/multitask_nlp/datasets/dependency_dataset_preparation.py |
|
|
