Add dataset card

README.md

@@ -1,25 +1,69 @@
 ---
-dataset_info:
-  features:
-  - name: en
-    dtype: string
-  - name: fr
-    dtype: string
-  - name: de
-    dtype: string
-  - name: ar
-    dtype: string
-  - name: zh
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 981913
-    num_examples: 9329
-  download_size: 597402
-  dataset_size: 981913
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: cc-by-4.0
+language:
+- en
+- fr
+- de
+- ar
+- zh
+task_categories:
+- translation
+- feature-extraction
+- sentence-similarity
+size_categories:
+- 1K<n<100K
+tags:
+- parallel-sentences
+- multilingual
+- opus-100
+pretty_name: OPUS-100 5-way (en/fr/de/ar/zh)
 ---
+
+# OPUS-100 5-way parallel (en / fr / de / ar / zh)
+
+Five-way parallel sentences derived from
+[`Helsinki-NLP/opus-100`](https://huggingface.co/datasets/Helsinki-NLP/opus-100).
+
+## How it was built
+
+OPUS-100 is English-centric and ships ~1M sentence pairs *per* `XX-en` config.
+For each of the four target languages we built a dictionary
+`english_sentence -> non_english` from the `train`, `validation`, and `test`
+splits of the relevant config (`en-fr`, `de-en`, `ar-en`, `en-zh`), then took
+the **intersection of English keys** across all four. Each row therefore has
+the same English anchor sentence aligned to a French, German, Arabic, and
+Chinese translation that originally appeared in OPUS-100.
+
+Cleaning per cell:
+
+- strip surrounding whitespace, collapse runs of whitespace
+- drop rows where any cell is shorter than 3 or longer than 1000 characters
+- drop control characters
+- on duplicate English keys within a single source config, keep the first occurrence
+- final dedup on the `en` column
+
+## Schema
+
+| column | language        |
+|--------|-----------------|
+| `en`   | English (anchor)|
+| `fr`   | French          |
+| `de`   | German          |
+| `ar`   | Arabic          |
+| `zh`   | Chinese         |
+
+Single split: `train` (9329 rows).
+
+## Usage
+
+```python
+from datasets import load_dataset
+ds = load_dataset("nirmalendu01/opus100-en-fr-de-ar-zh", split="train")
+print(ds[0])
+```
+
+## License & citation
+
+Inherits the OPUS-100 license (CC BY 4.0). Please cite the original OPUS-100
+paper (Zhang et al., 2020, "Improving Massively Multilingual Neural Machine
+Translation and Zero-Shot Translation") if you use this dataset.