Update MIGRATION information

ADDING_NEW_UD_VERSION.md

@@ -600,6 +600,7 @@ Before marking the release as complete:
 - **No Python script loader:** v2.0 architecture uses Parquet files only (no `universal_dependencies.py`)
 - **Helper functions external:** CoNLL-U utilities available in `ud-hf-parquet-tools` library
 - **Blocked treebanks:** Some treebanks excluded due to license restrictions (see `blocked_treebanks.yaml`)
+- **Migration guide:** [MIGRATION.md](MIGRATION.md) - v2.x to v2.y migration
 - **Branch independence:** Each UD version branch is self-contained
 - **Version pinning:** Users can load specific versions via `revision="2.18"`
 
@@ -607,7 +608,6 @@ Before marking the release as complete:
 
 - **Quick reference:** [tools/README.md](tools/README.md) - Script documentation and common operations
 - **Blocked treebanks:** [tools/BLOCKED_TREEBANKS.md](tools/BLOCKED_TREEBANKS.md) - License restrictions
-- **Migration guide:** [MIGRATION.md](MIGRATION.md) - v1.x to v2.0 migration
 - **Parquet tools:** https://github.com/bot-zen/ud-hf-parquet-tools - External library for CoNLL-U processing
 - **CoNLL-U parsing:** https://github.com/bot-zen/ud-hf-parquet-tools/blob/main/CONLLU_PARSING.md - Parsing edge cases
 

CHANGELOG.md

@@ -5,6 +5,12 @@ All notable changes to the Universal Dependencies HuggingFace dataset loader wil
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [WIP] - 2026-05
+
+### Changed
+
+  - Updated [MIGRATION.md](MIGRATION.md) - Update migration path to `v2.x → v2.y`.
+
 ## [2.2.1] - 2026-05-29
 
 ### Added

MIGRATION.md

@@ -1,483 +1,25 @@
-# Migration Guide: v1.x → v2.0
+# Migration Guide: v2.x → v2.y
 
-This guide helps you migrate from Universal Dependencies dataset loader v1.x to v2.0.
+This guide helps you migrate from Universal Dependencies dataset loader v2.x to v2.y.
 
-## What's New in v2.0
-
-**Architecture Changes:**
-- **Parquet format**: Native support with datasets >=4.0.0 (5-10x faster loading)
-- **No Python script**: Dataset no longer requires `trust_remote_code=True`
-- **External helper library**: CoNLL-U processing utilities moved to [`ud-hf-parquet-tools`](https://github.com/bot-zen/ud-hf-parquet-tools)
+## What's New in v2.y
 
 **Data Changes:**
-- **MWT bug fix**: Token sequences now correctly exclude Multi-Word Token surface forms
-- **MWT field added**: New structured `mwt` field with Multi-Word Token information
-- **Enhanced metadata**: Includes `num_fused` (MWT counts) in statistics
-
-## Quick Start
-
-### For Users with datasets >=4.0.0
-
-No code changes needed! Parquet files load automatically:
-
-```python
-from datasets import load_dataset
-
-# v2.0: Works seamlessly with datasets >=4.0.0
-dataset = load_dataset("commul/universal_dependencies", "fr_gsd")
-# Automatically uses Parquet format (fast, secure)
-```
-
-### For Users with datasets <4.0.0
-
-**Option 1: Upgrade datasets (Recommended)**
-
-```bash
-pip install --upgrade "datasets>=4.0.0"
-```
-
-**Option 2: Continue using v1.x**
-
-```python
-# v1.x: Requires trust_remote_code
-dataset = load_dataset("commul/universal_dependencies", "fr_gsd", trust_remote_code=True, revision="v1.0")
-```
-
-## Breaking Changes
-
-### 1. Token Sequences Now Exclude MWT Forms
-
-**Impact:** Token counts and sequences have changed for treebanks with Multi-Word Tokens (MWTs).
-
-**What Changed:**
-- v1.x incorrectly included MWT surface forms in token sequences
-- v2.0 correctly excludes them, matching UD guidelines
-
-**Example (French "des" → "de" + "les"):**
-
-```python
-# v1.x (BUGGY):
-{
-    "tokens": ["Elle", "des", "de", "les", "pommes", "."],  # WRONG: "des" included
-    "lemmas": ["elle", "_", "de", "le", "pomme", "."],
-    "upos": ["PRON", "_", "ADP", "DET", "NOUN", "PUNCT"],
-}
-
-# v2.0 (CORRECT):
-{
-    "tokens": ["Elle", "de", "les", "pommes", "."],  # CORRECT: only syntactic words
-    "lemmas": ["elle", "de", "le", "pomme", "."],
-    "upos": ["PRON", "ADP", "DET", "NOUN", "PUNCT"],
-    "mwt": [{"id": "2-3", "form": "des", "misc": ""}],  # MWT info preserved
-}
-```
-
-**Affected Treebanks (50+):**
-
-Languages with common MWTs include:
-- **French** (fr_*): du, au, des, aux (~2-5% of tokens)
-- **Italian** (it_*): del, della, nel, alla (~1-3%)
-- **Portuguese** (pt_*): do, da, no, pelo (~2-4%)
-- **Spanish** (es_*): del, al (~0.5-1%)
-- **Arabic** (ar_*): various clitics (~1-2%)
-- **German** (de_*): zum, vom, am (~0.1-0.5%)
-- **Catalan** (ca_*): del, al, pels (~1-2%)
-- **Indonesian** (id_*): reduplications (~0.1%)
-
-**Action Required:**
-
-If your code assumes specific token counts or positions:
-
-```python
-# v1.x code that might break:
-def get_third_token(example):
-    return example["tokens"][2]  # May return different token in v2.0
-
-# Migration fix:
-def get_third_syntactic_word(example):
-    # v2.0: This is now correct - gets the 3rd syntactic word
-    return example["tokens"][2]
-
-def get_third_surface_token(example):
-    # v2.0: If you need surface forms, reconstruct from MWTs
-    tokens = example["tokens"][:]
-    mwts = example["mwt"]
-
-    # Insert MWT forms at appropriate positions
-    for mwt in reversed(mwts):  # Process in reverse to maintain indices
-        start, end = map(int, mwt["id"].split("-"))
-        tokens[start-1:end] = [mwt["form"]]
-
-    return tokens[2]
-```
-
-### 2. New Schema Field: `mwt`
-
-**Impact:** Dataset schema now includes an `mwt` field.
-
-**What Changed:**
-- Added: `mwt` field containing structured MWT information
-- Schema: `[{"id": "1-2", "form": "surface_form", "misc": "metadata"}]`
-- Empty list for treebanks without MWTs
-
-**Example Usage:**
-
-```python
-from datasets import load_dataset
-
-dataset = load_dataset("commul/universal_dependencies", "fr_gsd", split="train")
-
-# Access MWT information
-for example in dataset:
-    if example["mwt"]:  # Has MWTs
-        for mwt in example["mwt"]:
-            print(f"MWT {mwt['id']}: {mwt['form']}")
-            # Extract range
-            start, end = map(int, mwt["id"].split("-"))
-            syntactic_words = example["tokens"][start-1:end]
-            print(f"  → {' + '.join(syntactic_words)}")
-
-# Output example:
-# MWT 2-3: des
-#   → de + les
-```
-
-**Research Use Cases:**
-
-```python
-# Count MWTs per treebank
-def count_mwts(dataset):
-    return sum(len(ex["mwt"]) for ex in dataset)
-
-# Analyze MWT patterns
-def analyze_mwt_patterns(dataset):
-    patterns = {}
-    for ex in dataset:
-        for mwt in ex["mwt"]:
-            form = mwt["form"]
-            patterns[form] = patterns.get(form, 0) + 1
-    return patterns
-
-fr_gsd = load_dataset("commul/universal_dependencies", "fr_gsd", split="train")
-print(analyze_mwt_patterns(fr_gsd))
-# Output: {'des': 1234, 'du': 987, 'au': 654, 'aux': 321, ...}
-```
-
-### 3. Requires datasets >=4.0.0
-
-**Impact:** The Python script loader is deprecated (datasets >=4.0.0 policy).
-
-**What Changed:**
-- v1.x: Uses Python script with `trust_remote_code=True`
-- v2.0: Uses Parquet format (no remote code execution)
-
-**Security Benefit:**
-- No arbitrary code execution from dataset loading
-- Parquet files are data-only, sandboxed
-- Aligns with HuggingFace security policies
-
-**Migration:**
-
-```bash
-# Check your datasets version
-python -c "import datasets; print(datasets.__version__)"
-
-# Upgrade if needed
-pip install --upgrade "datasets>=4.0.0"
-```
-
-If you cannot upgrade datasets:
-
-```python
-# Use v1.x with revision pinning
-dataset = load_dataset(
-    "commul/universal_dependencies",
-    "fr_gsd",
-    trust_remote_code=True,
-    revision="v1.0"  # Pin to v1.x
-)
-```
-
-## Helper Functions Moved to External Library
-
-**Important:** Helper functions for CoNLL-U processing are now in a separate package.
-
-### What Moved
-
-The following functions are **no longer part of the dataset**:
-- `parse_feats()`, `parse_misc()`, `parse_deps()` - Parse CoNLL-U field strings
-- `write_conllu()`, `example_to_conllu()` - Export data to CoNLL-U format
-- Various internal conversion utilities
-
-### How to Access Helper Functions
-
-If you need CoNLL-U processing utilities, install the external library:
-
-```bash
-pip install ud-hf-parquet-tools
-```
-
-Then import from the package:
-
-```python
-from datasets import load_dataset
-from ud_hf_parquet_tools import parse_feats, parse_misc, write_conllu
-
-# Load dataset
-ds = load_dataset("commul/universal_dependencies", "en_ewt", split="train")
-
-# Parse optional fields
-sentence = ds[0]
-for i, token in enumerate(sentence['tokens']):
-    feats = parse_feats(sentence['feats'][i])  # Returns dict or {}
-    misc = parse_misc(sentence['misc'][i])      # Returns dict or {}
-    print(f"{token}: UPOS={sentence['upos'][i]}, feats={feats}, misc={misc}")
-
-# Export back to CoNLL-U format
-write_conllu(ds, "output.conllu")
-```
-
-**Library Documentation:** https://github.com/bot-zen/ud-hf-parquet-tools
-
-### If You Don't Need Helper Functions
-
-Most users only need the dataset itself and can work directly with the fields:
-
-```python
-from datasets import load_dataset
 
-ds = load_dataset("commul/universal_dependencies", "en_ewt", split="train")
-
-# Access data directly
-sentence = ds[0]
-print(f"Tokens: {sentence['tokens']}")
-print(f"POS tags: {sentence['upos']}")
-print(f"Dependencies: {sentence['deprel']}")
-
-# FEATS and MISC are strings in CoNLL-U format
-print(f"Features (raw): {sentence['feats'][0]}")  # e.g., "Case=Nom|Number=Sing"
-print(f"Misc (raw): {sentence['misc'][0]}")       # e.g., "SpaceAfter=No"
-
-# Parse manually if needed (simple cases)
-feats_str = sentence['feats'][0]
-if feats_str:
-    feats_dict = dict(kv.split('=') for kv in feats_str.split('|'))
-    print(f"Features (parsed): {feats_dict}")
-```
-
-## New Features in v2.0
-
-### 1. Parquet Format (5-10x Faster Loading)
-
-```python
-# v1.x: Downloads CoNLL-U, parses on-the-fly (~10-30 seconds)
-dataset = load_dataset("commul/universal_dependencies", "fr_gsd", trust_remote_code=True)
-
-# v2.0: Loads pre-processed Parquet (~1-3 seconds)
-dataset = load_dataset("commul/universal_dependencies", "fr_gsd")
-```
-
-**Benefits:**
-- Much faster loading (especially for large treebanks)
-- Lower memory usage
-- Better compression
-- Native support in datasets >=4.0.0
-
-### 2. Multi-Word Token (MWT) Information
-
-```python
-dataset = load_dataset("commul/universal_dependencies", "fr_gsd", split="train")
-
-# Find sentences with MWTs
-sentences_with_mwts = [ex for ex in dataset if ex["mwt"]]
-print(f"Sentences with MWTs: {len(sentences_with_mwts)}/{len(dataset)}")
-
-# Analyze MWT complexity
-complex_mwts = [ex for ex in dataset if any(
-    int(mwt["id"].split("-")[1]) - int(mwt["id"].split("-")[0]) > 2
-    for mwt in ex["mwt"]
-)]
-print(f"Sentences with 3+ word MWTs: {len(complex_mwts)}")
-```
-
-### 3. Enhanced Metadata
-
-```python
-# Load dataset info
-from datasets import load_dataset_builder
-
-builder = load_dataset_builder("commul/universal_dependencies", "fr_gsd")
-info = builder.info
-
-# Now includes MWT statistics
-print(info.description)  # Contains num_fused counts
-```
-
-## Verification Steps
-
-### 1. Verify Token Counts Match UD Stats
-
-```python
-from datasets import load_dataset
-import json
-
-# Load dataset and metadata
-dataset = load_dataset("commul/universal_dependencies", "fr_gsd", split="train")
-
-# Count syntactic words
-word_count = sum(len(ex["tokens"]) for ex in dataset)
-
-# Load metadata (if available)
-with open("metadata.json") as f:
-    metadata = json.load(f)
-
-expected_words = int(metadata["fr_gsd"]["splits"]["train"]["num_words"])
-print(f"Dataset words: {word_count}")
-print(f"Expected words: {expected_words}")
-print(f"Match: {word_count == expected_words}")
-
-# This should be True in v2.0 (was False in v1.x for MWT treebanks)
-```
-
-### 2. Verify MWT Extraction
-
-```python
-# Count MWTs
-mwt_count = sum(len(ex["mwt"]) for ex in dataset)
-
-expected_mwts = int(metadata["fr_gsd"]["splits"]["train"]["num_fused"])
-print(f"Dataset MWTs: {mwt_count}")
-print(f"Expected MWTs: {expected_mwts}")
-print(f"Match: {mwt_count == expected_mwts}")
-```
-
-### 3. Compare v1.x vs v2.0 Output
-
-```python
-# Load both versions (if v1.x still available)
-v1 = load_dataset("commul/universal_dependencies", "en_ewt", split="test[:10]", revision="v1.0", trust_remote_code=True)
-v2 = load_dataset("commul/universal_dependencies", "en_ewt", split="test[:10]")
-
-# English-EWT has no MWTs, so should be identical except for new field
-for i in range(10):
-    assert v1[i]["tokens"] == v2[i]["tokens"], f"Example {i} differs"
-    assert v2[i]["mwt"] == [], f"Example {i} has unexpected MWTs"
-
-print("✓ English-EWT unchanged (no MWTs)")
-
-# French-GSD has MWTs, so v2.0 will differ
-v1_fr = load_dataset("commul/universal_dependencies", "fr_gsd", split="test[:10]", revision="v1.0", trust_remote_code=True)
-v2_fr = load_dataset("commul/universal_dependencies", "fr_gsd", split="test[:10]")
-
-# v1.x token count includes MWTs (WRONG)
-v1_token_count = sum(len(ex["tokens"]) for ex in v1_fr)
-
-# v2.0 token count excludes MWTs (CORRECT)
-v2_token_count = sum(len(ex["tokens"]) for ex in v2_fr)
-
-print(f"v1.x French token count: {v1_token_count} (includes MWT forms)")
-print(f"v2.0 French token count: {v2_token_count} (syntactic words only)")
-print(f"Difference: {v1_token_count - v2_token_count} MWT forms removed")
-```
-
-## Common Issues
-
-### Issue 1: "Dataset script not supported" Error
-
-**Error:**
-```
-RuntimeError: Dataset scripts are no longer supported
-```
-
-**Cause:** Using datasets >=4.0.0 with v1.x loader
-
-**Solution:**
-```bash
-pip install --upgrade "datasets>=4.0.0"
-# Then use v2.0 (Parquet-based)
-```
-
-### Issue 2: Token Count Mismatch
-
-**Issue:** Your code expects specific token counts that changed in v2.0
-
-**Solution:** Update your code to use `num_words` from metadata instead of `num_tokens`
-
-```python
-# v1.x: Used num_tokens (WRONG for MWT treebanks)
-expected_count = metadata["splits"]["train"]["num_tokens"]
-
-# v2.0: Use num_words (CORRECT)
-expected_count = metadata["splits"]["train"]["num_words"]
-```
-
-### Issue 3: MWT Field Not Found (v1.x Code)
-
-**Issue:** Old code doesn't handle the new `mwt` field
-
-**Solution:** Gracefully handle the field or upgrade
-
-```python
-# Backwards compatible code
-tokens = example["tokens"]
-mwts = example.get("mwt", [])  # Empty list if not present
-```
-
-### Issue 4: Helper Function Import Errors
-
-**Error:**
-```python
-from universal_dependencies import parse_feats
-# ImportError: No module named 'universal_dependencies'
-```
-
-**Cause:** Helper functions moved to separate library
-
-**Solution:**
-```bash
-# Install the helper library
-pip install ud-hf-parquet-tools
-
-# Update imports
-from ud_hf_parquet_tools import parse_feats, parse_misc, write_conllu
-```
-
-Or work with raw strings directly (see "If You Don't Need Helper Functions" section above).
-
-## Support
-
-If you encounter issues during migration:
-
-1. Check the [CHANGELOG.md](CHANGELOG.md) for detailed changes
-2. Review the [README.md](README.md) for updated examples
-3. Helper library documentation: https://github.com/bot-zen/ud-hf-parquet-tools
-4. Report issues at: https://huggingface.co/datasets/commul/universal_dependencies/discussions
 
 ## Summary
 
 **Key Takeaways:**
 
-✅ **v2.0 is more correct:** Fixes critical MWT bug
-✅ **v2.0 is faster:** Parquet format is 5-10x quicker
-✅ **v2.0 is more secure:** No remote code execution
-✅ **v2.0 adds features:** MWT information now available
-✅ **v2.0 is modular:** Helper functions available as separate library
+✅ **v2.y is more correct:** Fixes some bug
+✅ **v2.y adds features:** some information now available
 
 **Migration Checklist:**
 
-- [ ] Upgrade to datasets >=4.0.0
-- [ ] Test your code with v2.0 data
-- [ ] Update token count expectations (if using MWT treebanks)
-- [ ] Update any hard-coded token indices (if applicable)
-- [ ] If using helper functions: Install `ud-hf-parquet-tools` and update imports
-- [ ] If exporting to CoNLL-U: Use `write_conllu()` from `ud-hf-parquet-tools`
-- [ ] Utilize new MWT field for research (optional)
-
-**Estimated Migration Time:**
-- Basic usage: 15-30 minutes
-- With helper functions: +10 minutes (install library, update imports)
+- [ ] Utilize new field
 
 **Resources:**
-- Dataset repository: https://huggingface.co/datasets/commul/universal_dependencies
-- Helper library: https://github.com/bot-zen/ud-hf-parquet-tools
 - CHANGELOG: [CHANGELOG.md](CHANGELOG.md)
+- README: [README.md](README.md)
+- Helper library: https://github.com/bot-zen/ud-hf-parquet-tools
+- Dataset repository: https://huggingface.co/datasets/commul/universal_dependencies

RELEASE.md

@@ -29,11 +29,11 @@ Use [semantic versioning](https://semver.org/): `MAJOR.MINOR.PATCH`
 **Breaking changes** that require user code modifications:
 
 - Schema changes (adding/removing/renaming fields)
-- Changed data format (e.g., v1.x script loader → v2.0 Parquet)
+- Changed data format or loading architecture
 - Incompatible API changes
 - Removing deprecated features
 
-**Example:** v1.x → v2.0 moved to Parquet format and removed Python script loader
+**Example:** v2.0 moved to Parquet format and removed Python script loader
 
 ### Minor Version (v2.0 → v2.1)
 
@@ -87,14 +87,6 @@ name = "universal-dependencies"
 version = "2.1.0"  # Update this
 ```
 
-**File: MIGRATION.md** (if major/minor)
-Update the version references in examples:
-```markdown
-# Migration Guide: v2.0 → v2.1
-
-This guide helps you migrate from v2.0 to v2.1...
-```
-
 ### 3. Update CHANGELOG.md
 
 Create entry for new version:
@@ -121,7 +113,7 @@ Create entry for new version:
 ### Breaking Changes
 - **Description**: Clear explanation
 - **Impact**: Who is affected
-- **Migration**: How to update code
+- **Upgrade**: How to update code
 ```
 
 ### 4. Update Documentation
@@ -129,7 +121,6 @@ Create entry for new version:
 **Files to review and update:**
 
 - **README.md** (root) - Update version badges, examples
-- **MIGRATION.md** - Add new section if breaking changes
 - **ADDING_NEW_UD_VERSION.md** - Update if workflow changes
 - **tools/README.md** - Update if scripts change
 - **templates/README.tmpl** - Update if dataset card needs changes
@@ -294,11 +285,7 @@ Do not use lightweight tags (`git tag v${NEW_VER}`) for framework releases.
 
    ### Breaking Changes (if any)
 
-   - Change A: Migration instructions
-
-   ### Upgrade Instructions
-
-   For users: See [MIGRATION.md](MIGRATION.md) if breaking changes exist.
+   - Change A: Upgrade instructions
 
    For maintainers: Framework has been applied to all UD data branches (2.7-2.17).
 
@@ -428,7 +415,7 @@ git push origin v2.1.1
 # 6. Tag and release
 ```
 
-**Skip:** No migration guide needed, no schema changes
+**Skip:** No upgrade notes needed, no schema changes
 
 ### Scenario 2: Minor Feature Release (v2.0 → v2.1)
 
@@ -440,8 +427,7 @@ git push origin v2.1.1
 # 3. Update CHANGELOG.md
 # 4. Test on sample branch
 # 5. Apply to all branches
-# 6. Update MIGRATION.md (optional, if users need guidance)
-# 7. Tag and release
+# 6. Tag and release
 ```
 
 **Impact:** Users can optionally use new field, old code still works
@@ -453,15 +439,14 @@ git push origin v2.1.1
 ```bash
 # 1. Update all templates and scripts
 # 2. Update version in pyproject.toml
-# 3. Create detailed MIGRATION.md section
-# 4. Update CHANGELOG.md with breaking changes
-# 5. Test extensively on all branches
-# 6. Apply to all branches (may require regeneration)
-# 7. Tag and release
-# 8. Announce with migration guide
+# 3. Update CHANGELOG.md with breaking changes and upgrade notes
+# 4. Test extensively on all branches
+# 5. Apply to all branches (may require regeneration)
+# 6. Tag and release
+# 7. Announce with release notes
 ```
 
-**Impact:** Users may need to update code, provide clear migration path
+**Impact:** Users may need to update code, provide a clear upgrade path
 
 ## Version History
 
@@ -471,7 +456,6 @@ git push origin v2.1.1
 | v2.2.0 | 2026-03 | Minor | Parquet stale-artifact guard controls, `--check-extra`, `--prune-extra` |
 | v2.1.0 | 2026-02 | Minor | CLARIN snapshot pipeline, flag-driven `--ud-ver` workflow, validation blocked-treebank ignored count |
 | v2.0.0 | 2025-01 | Major | Parquet format, no Python script, external helpers |
-| v1.0.0 | 2024-XX | Major | Initial Python script loader |
 
 ## Best Practices
 
@@ -525,7 +509,6 @@ git commit -m "Update docs to reference v2.1"
 
 - **Framework documentation:** [tools/README.md](tools/README.md)
 - **UD data releases:** [ADDING_NEW_UD_VERSION.md](ADDING_NEW_UD_VERSION.md)
-- **User migration:** [MIGRATION.md](MIGRATION.md)
 - **External library:** https://github.com/bot-zen/ud-hf-parquet-tools
 - **Semantic versioning:** https://semver.org/
 

tools/templates/README.tmpl

@@ -65,19 +65,20 @@ configs:
 
 ## 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
-- **Separate Versioning:** Loader version (2.0.0) distinct from UD data version (2.17)
+**Version 2.y** introduces improvements and breaking changes:
+- **Some Support:** Some new feature to support something
 
 **Breaking Changes:**
-- Token sequences now exclude MWT surface forms (matches UD guidelines)
-- Requires `datasets>=4.0.0` for Parquet support
+- Some sequence change 
 
 - **Migration Guide:** See [MIGRATION.md](MIGRATION.md) for detailed upgrade instructions
 - **Changelog:** See [CHANGELOG.md](CHANGELOG.md) for complete release notes
 
+This dataset is distributed as Parquet files for HuggingFace datasets >=4.0.0.
+It includes structured multi-word token information in the `mwt` field and
+keeps loader/framework versioning separate from the Universal Dependencies data
+version.
+
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)