Datasets:

CrocoSign
/

pjm-segments

---
license: cc-by-sa-4.0
language:
- pl
pretty_name: PJM sentence clips (CrocoSign, unfiltered)
size_categories:
- 10K<n<100K
task_categories:
- translation
tags:
- sign-language
- polish-sign-language
- pjm
- webdataset
---
# PJM sentence clips (unfiltered)

All 39,817 sentence clips cut from the [Open Repository of the PJM Corpus](https://www.korpuspjm.uw.edu.pl/)
(Sign Language Linguistics Lab, University of Warsaw), each with its Polish transcript, as WebDataset shards.
This is the step before selection: the ready-to-train dataset of 29,928 pairs, with English translations,
splits and features, is [CrocoSign/pjm-data](https://huggingface.co/datasets/CrocoSign/pjm-data).

## Format

89 tar shards, `train-000000.tar` to `train-000088.tar`, about 25 GB in all. Each clip is two members:

- `{key}.mp4`: the video of one sentence, one signer, H.264. Despite the extension, the container is MPEG-TS; browsers need it remuxed to MP4 (`ffmpeg -i clip.mp4 -c copy -movflags +faststart out.mp4`).
- `{key}.txt`: the Polish transcript of that sentence, UTF-8, as cut from the corpus subtitles (the corrected texts of the 29,928 dataset clips are in `pjm-data/texts/texts_fixed.csv`).

The key, such as `004_000_M`, is `{recording}_{sentence}_{side}`, where the side is `L` or `R` for a half of a dialogue recording and `M` for a monologue. It is the same key as in pjm-data, so it joins the clips with the splits, features and poses there.

```python
from datasets import Value, load_dataset
clips = load_dataset("CrocoSign/pjm-segments", split="train", streaming=True)
clips = clips.cast_column("mp4", Value("binary"))  # raw bytes; decoding video would need torchcodec
first = next(iter(clips))
print(first["__key__"], first["txt"])  # 004_000_M Wiesz, kot i ptak w klatce.
video = first["mp4"]["bytes"]
```

Streaming reads the shards in order, so finding one clip by key this way scans the dataset. To fetch a single clip, request its byte range from the shard instead. `clip_index.csv` gives, for every clip, the shard and the offset and size of its `.mp4` member:

```bash
# 682_073_R,train-000085.tar,352468480,471880
curl -L -r 352468480-352940359 -o 682_073_R.ts \
  https://huggingface.co/datasets/CrocoSign/pjm-segments/resolve/main/train-000085.tar
```

## What was left out of pjm-data, and why

| Reason | Clips |
|---|---|
| one-word sentence | 5,527 |
| fewer than three words (final quality filter) | 3,603 |
| only very common words (final quality filter) | 362 |
| dominated by rare words (seen at most three times) | 362 |
| longer than 60 sub-word tokens | 19 |
| translation flagged as invalid | 10 |
| broken video (one to five frames) | 4 |
| empty sentence | 2 |

## Licence and attribution

CC BY-SA 4.0, as the corpus. The clips show the faces of the signers who recorded themselves for the corpus. Cite the corpus (Wójcicka, Kuder, Mostowski, Rutkowski (eds.), *Otwarte Repozytorium Korpusu Polskiego Języka Migowego*, University of Warsaw, 2020, ISBN 978-83-66400-21-4) and our work (Sieńko, Kovalenko, Śledzianowski, *A Polish Sign Language to Text Dataset and Benchmark*, 2026, in preparation); BibTeX for both is in the [pjm-data card](https://huggingface.co/datasets/CrocoSign/pjm-data).

	---
	license: cc-by-sa-4.0
	language:
	- pl
	pretty_name: PJM sentence clips (CrocoSign, unfiltered)
	size_categories:
	- 10K<n<100K
	task_categories:
	- translation
	tags:
	- sign-language
	- polish-sign-language
	- pjm
	- webdataset
	---

	# PJM sentence clips (unfiltered)

	All 39,817 sentence clips cut from the [Open Repository of the PJM Corpus](https://www.korpuspjm.uw.edu.pl/)
	(Sign Language Linguistics Lab, University of Warsaw), each with its Polish transcript, as WebDataset shards.
	This is the step before selection: the ready-to-train dataset of 29,928 pairs, with English translations,
	splits and features, is [CrocoSign/pjm-data](https://huggingface.co/datasets/CrocoSign/pjm-data).

	## Format

	89 tar shards, `train-000000.tar` to `train-000088.tar`, about 25 GB in all. Each clip is two members:

	- `{key}.mp4`: the video of one sentence, one signer, H.264. Despite the extension, the container is MPEG-TS; browsers need it remuxed to MP4 (`ffmpeg -i clip.mp4 -c copy -movflags +faststart out.mp4`).
	- `{key}.txt`: the Polish transcript of that sentence, UTF-8, as cut from the corpus subtitles (the corrected texts of the 29,928 dataset clips are in `pjm-data/texts/texts_fixed.csv`).

	The key, such as `004_000_M`, is `{recording}_{sentence}_{side}`, where the side is `L` or `R` for a half of a dialogue recording and `M` for a monologue. It is the same key as in pjm-data, so it joins the clips with the splits, features and poses there.

	```python
	from datasets import Value, load_dataset

	clips = load_dataset("CrocoSign/pjm-segments", split="train", streaming=True)
	clips = clips.cast_column("mp4", Value("binary")) # raw bytes; decoding video would need torchcodec
	first = next(iter(clips))
	print(first["__key__"], first["txt"]) # 004_000_M Wiesz, kot i ptak w klatce.
	video = first["mp4"]["bytes"]
	```

	Streaming reads the shards in order, so finding one clip by key this way scans the dataset. To fetch a single clip, request its byte range from the shard instead. `clip_index.csv` gives, for every clip, the shard and the offset and size of its `.mp4` member:

	```bash
	# 682_073_R,train-000085.tar,352468480,471880
	curl -L -r 352468480-352940359 -o 682_073_R.ts \
	https://huggingface.co/datasets/CrocoSign/pjm-segments/resolve/main/train-000085.tar
	```

	## What was left out of pjm-data, and why

	\| Reason \| Clips \|
	\|---\|---\|
	\| one-word sentence \| 5,527 \|
	\| fewer than three words (final quality filter) \| 3,603 \|
	\| only very common words (final quality filter) \| 362 \|
	\| dominated by rare words (seen at most three times) \| 362 \|
	\| longer than 60 sub-word tokens \| 19 \|
	\| translation flagged as invalid \| 10 \|
	\| broken video (one to five frames) \| 4 \|
	\| empty sentence \| 2 \|

	## Licence and attribution

	CC BY-SA 4.0, as the corpus. The clips show the faces of the signers who recorded themselves for the corpus. Cite the corpus (Wójcicka, Kuder, Mostowski, Rutkowski (eds.), Otwarte Repozytorium Korpusu Polskiego Języka Migowego, University of Warsaw, 2020, ISBN 978-83-66400-21-4) and our work (Sieńko, Kovalenko, Śledzianowski, A Polish Sign Language to Text Dataset and Benchmark, 2026, in preparation); BibTeX for both is in the [pjm-data card](https://huggingface.co/datasets/CrocoSign/pjm-data).