Add dataset card

README.md

@@ -0,0 +1,44 @@
+---
+language:
+  - multilingual
+license: cc-by-nc-nd-4.0
+pretty_name: TED multi (4-way TSV mirror)
+tags:
+  - parallel-corpora
+  - tedtalks
+  - multilingual
+  - re-host
+size_categories:
+  - 100K<n<1M
+---
+
+# TED multi — TSV mirror
+
+Faithful re-host of the original [`neulab/ted_multi`](https://github.com/neulab/word-embeddings-for-nmt)
+TED Talks corpus, in the same row-aligned multi-way parallel TSV format that
+was distributed at `https://www.phontron.com/data/ted_talks.tar.gz`.
+
+The HF Datasets script `neulab/ted_multi` is currently broken (`_DATA_URL`
+returns an SPA), which is why this mirror exists. It does not modify the data.
+
+## Files
+
+- `all_talks_train.tsv` — train split (≈258k rows).
+- `all_talks_dev.tsv`   — dev split   (≈6k rows).
+- `all_talks_test.tsv`  — test split  (≈7k rows).
+
+## Schema
+
+Each TSV row has **60 language columns + `talk_name` + `id`** (depending on
+header line — see the first line of each file). Missing translations for a row
+are written literally as `__NULL__` (some legacy snapshots also use
+`_ _ NULL _ _`). When you need an `N`-way parallel subset, drop any row where
+any of the target language columns equals `__NULL__`.
+
+## Source / attribution
+
+Qi, Y., Sachan, D., Felix, M., Padmanabhan, S., & Neubig, G. (2018).
+*When and Why are Pre-trained Word Embeddings Useful for Neural Machine
+Translation?* In NAACL.
+
+Original distribution lived at <https://www.phontron.com/data/ted_talks.tar.gz>.